Dirac Algebroids in Formalisms of Constrained Mechanics Janusz - - PowerPoint PPT Presentation

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Dirac Algebroids in Formalisms of Constrained Mechanics Janusz - - PowerPoint PPT Presentation

Dirac Algebroids in Formalisms of Constrained Mechanics Janusz Grabowski Polish Academy of Sciences IHP-Paris, November 26, 2014 JG (IMPAN) Dirac Algebroids 26/11/2014 1 / 30 Introduction How to deal with singular Lagrangians? Tulczyjew


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SLIDE 1

Dirac Algebroids in Formalisms of Constrained Mechanics

Janusz Grabowski

Polish Academy of Sciences

IHP-Paris, November 26, 2014

JG (IMPAN) Dirac Algebroids 26/11/2014 1 / 30

slide-2
SLIDE 2

Introduction

How to deal with singular Lagrangians? → Tulczyjew triple. Implicit equations (dynamics); generation separated from solving.

  • W. Tulczyjew: ”Hamiltonian systems, Lagrangian systems, and

the Legendre transformation”, Symposia Math. 14, (1974), 101–114.

  • W. M. Tulczyjew: ”Les sous-vari´

et´ es lagrangiennes et la dynamique lagrangienne” (French), C. R. Acad. Sci. Paris S´ er. A-B 283 (1976), no. 8, Av, A675–A678. How to deal with nonholonomic constraints? → Dirac structures We are looking for a geometrical framework of mechanics including Reduction procedures → Tulczyjew triples for (Lie) algebroids Nonholonomic constraints → Tulczyjew triples for Dirac algebroids

  • J. Grabowski, K. Grabowska: ”Dirac Algebroids in Lagrangian and

Hamiltonian Mechanics” J. Geom. Phys. 61 (2011), 2233–2253.

JG (IMPAN) Dirac Algebroids 26/11/2014 2 / 30

slide-3
SLIDE 3

Introduction

How to deal with singular Lagrangians? → Tulczyjew triple. Implicit equations (dynamics); generation separated from solving.

  • W. Tulczyjew: ”Hamiltonian systems, Lagrangian systems, and

the Legendre transformation”, Symposia Math. 14, (1974), 101–114.

  • W. M. Tulczyjew: ”Les sous-vari´

et´ es lagrangiennes et la dynamique lagrangienne” (French), C. R. Acad. Sci. Paris S´ er. A-B 283 (1976), no. 8, Av, A675–A678. How to deal with nonholonomic constraints? → Dirac structures We are looking for a geometrical framework of mechanics including Reduction procedures → Tulczyjew triples for (Lie) algebroids Nonholonomic constraints → Tulczyjew triples for Dirac algebroids

  • J. Grabowski, K. Grabowska: ”Dirac Algebroids in Lagrangian and

Hamiltonian Mechanics” J. Geom. Phys. 61 (2011), 2233–2253.

JG (IMPAN) Dirac Algebroids 26/11/2014 2 / 30

slide-4
SLIDE 4

Introduction

How to deal with singular Lagrangians? → Tulczyjew triple. Implicit equations (dynamics); generation separated from solving.

  • W. Tulczyjew: ”Hamiltonian systems, Lagrangian systems, and

the Legendre transformation”, Symposia Math. 14, (1974), 101–114.

  • W. M. Tulczyjew: ”Les sous-vari´

et´ es lagrangiennes et la dynamique lagrangienne” (French), C. R. Acad. Sci. Paris S´ er. A-B 283 (1976), no. 8, Av, A675–A678. How to deal with nonholonomic constraints? → Dirac structures We are looking for a geometrical framework of mechanics including Reduction procedures → Tulczyjew triples for (Lie) algebroids Nonholonomic constraints → Tulczyjew triples for Dirac algebroids

  • J. Grabowski, K. Grabowska: ”Dirac Algebroids in Lagrangian and

Hamiltonian Mechanics” J. Geom. Phys. 61 (2011), 2233–2253.

JG (IMPAN) Dirac Algebroids 26/11/2014 2 / 30

slide-5
SLIDE 5

Introduction

How to deal with singular Lagrangians? → Tulczyjew triple. Implicit equations (dynamics); generation separated from solving.

  • W. Tulczyjew: ”Hamiltonian systems, Lagrangian systems, and

the Legendre transformation”, Symposia Math. 14, (1974), 101–114.

  • W. M. Tulczyjew: ”Les sous-vari´

et´ es lagrangiennes et la dynamique lagrangienne” (French), C. R. Acad. Sci. Paris S´ er. A-B 283 (1976), no. 8, Av, A675–A678. How to deal with nonholonomic constraints? → Dirac structures We are looking for a geometrical framework of mechanics including Reduction procedures → Tulczyjew triples for (Lie) algebroids Nonholonomic constraints → Tulczyjew triples for Dirac algebroids

  • J. Grabowski, K. Grabowska: ”Dirac Algebroids in Lagrangian and

Hamiltonian Mechanics” J. Geom. Phys. 61 (2011), 2233–2253.

JG (IMPAN) Dirac Algebroids 26/11/2014 2 / 30

slide-6
SLIDE 6

Introduction

How to deal with singular Lagrangians? → Tulczyjew triple. Implicit equations (dynamics); generation separated from solving.

  • W. Tulczyjew: ”Hamiltonian systems, Lagrangian systems, and

the Legendre transformation”, Symposia Math. 14, (1974), 101–114.

  • W. M. Tulczyjew: ”Les sous-vari´

et´ es lagrangiennes et la dynamique lagrangienne” (French), C. R. Acad. Sci. Paris S´ er. A-B 283 (1976), no. 8, Av, A675–A678. How to deal with nonholonomic constraints? → Dirac structures We are looking for a geometrical framework of mechanics including Reduction procedures → Tulczyjew triples for (Lie) algebroids Nonholonomic constraints → Tulczyjew triples for Dirac algebroids

  • J. Grabowski, K. Grabowska: ”Dirac Algebroids in Lagrangian and

Hamiltonian Mechanics” J. Geom. Phys. 61 (2011), 2233–2253.

JG (IMPAN) Dirac Algebroids 26/11/2014 2 / 30

slide-7
SLIDE 7

Introduction

How to deal with singular Lagrangians? → Tulczyjew triple. Implicit equations (dynamics); generation separated from solving.

  • W. Tulczyjew: ”Hamiltonian systems, Lagrangian systems, and

the Legendre transformation”, Symposia Math. 14, (1974), 101–114.

  • W. M. Tulczyjew: ”Les sous-vari´

et´ es lagrangiennes et la dynamique lagrangienne” (French), C. R. Acad. Sci. Paris S´ er. A-B 283 (1976), no. 8, Av, A675–A678. How to deal with nonholonomic constraints? → Dirac structures We are looking for a geometrical framework of mechanics including Reduction procedures → Tulczyjew triples for (Lie) algebroids Nonholonomic constraints → Tulczyjew triples for Dirac algebroids

  • J. Grabowski, K. Grabowska: ”Dirac Algebroids in Lagrangian and

Hamiltonian Mechanics” J. Geom. Phys. 61 (2011), 2233–2253.

JG (IMPAN) Dirac Algebroids 26/11/2014 2 / 30

slide-8
SLIDE 8

Introduction

How to deal with singular Lagrangians? → Tulczyjew triple. Implicit equations (dynamics); generation separated from solving.

  • W. Tulczyjew: ”Hamiltonian systems, Lagrangian systems, and

the Legendre transformation”, Symposia Math. 14, (1974), 101–114.

  • W. M. Tulczyjew: ”Les sous-vari´

et´ es lagrangiennes et la dynamique lagrangienne” (French), C. R. Acad. Sci. Paris S´ er. A-B 283 (1976), no. 8, Av, A675–A678. How to deal with nonholonomic constraints? → Dirac structures We are looking for a geometrical framework of mechanics including Reduction procedures → Tulczyjew triples for (Lie) algebroids Nonholonomic constraints → Tulczyjew triples for Dirac algebroids

  • J. Grabowski, K. Grabowska: ”Dirac Algebroids in Lagrangian and

Hamiltonian Mechanics” J. Geom. Phys. 61 (2011), 2233–2253.

JG (IMPAN) Dirac Algebroids 26/11/2014 2 / 30

slide-9
SLIDE 9

Tulczyjew Triple

M - positions,

TM - (kinematic)

configurations, L : TM → R - Lagrangian

T∗M - phase space

Legendre map λ : TM → T∗M Tulczyjew differential ΛL : TM → TT∗M. D = α−1

M (dL(TM))) = ΛL(TM) is the phase dynamics

λL : TM → T∗M, λL(v) = ξ(dL(v)), λL(q, ˙ q) = (q, ∂L ∂ ˙ q ). D =

  • (q, p, ˙

q, ˙ p) : p = ∂L ∂ ˙ q , ˙ p = ∂L ∂q

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 3 / 30

slide-10
SLIDE 10

Tulczyjew Triple

M - positions,

TM - (kinematic)

configurations, L : TM → R - Lagrangian

T∗M - phase space

Legendre map λ : TM → T∗M Tulczyjew differential ΛL : TM → TT∗M. D = α−1

M (dL(TM))) = ΛL(TM) is the phase dynamics

λL : TM → T∗M, λL(v) = ξ(dL(v)), λL(q, ˙ q) = (q, ∂L ∂ ˙ q ). D =

  • (q, p, ˙

q, ˙ p) : p = ∂L ∂ ˙ q , ˙ p = ∂L ∂q

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 3 / 30

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SLIDE 11

Tulczyjew Triple

M - positions,

TM - (kinematic)

configurations, L : TM → R - Lagrangian

T∗M - phase space

Legendre map λ : TM → T∗M Tulczyjew differential ΛL : TM → TT∗M. D = α−1

M (dL(TM))) = ΛL(TM) is the phase dynamics

λL : TM → T∗M, λL(v) = ξ(dL(v)), λL(q, ˙ q) = (q, ∂L ∂ ˙ q ). D =

  • (q, p, ˙

q, ˙ p) : p = ∂L ∂ ˙ q , ˙ p = ∂L ∂q

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 3 / 30

slide-12
SLIDE 12

Tulczyjew Triple

M - positions,

TM - (kinematic)

configurations, L : TM → R - Lagrangian

T∗M - phase space

Legendre map λ : TM → T∗M Tulczyjew differential ΛL : TM → TT∗M. D = α−1

M (dL(TM))) = ΛL(TM) is the phase dynamics

λL : TM → T∗M, λL(v) = ξ(dL(v)), λL(q, ˙ q) = (q, ∂L ∂ ˙ q ). D =

  • (q, p, ˙

q, ˙ p) : p = ∂L ∂ ˙ q , ˙ p = ∂L ∂q

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 3 / 30

slide-13
SLIDE 13

Tulczyjew Triple

M - positions,

TM - (kinematic)

configurations, L : TM → R - Lagrangian

T∗M - phase space

Legendre map λ : TM → T∗M Tulczyjew differential ΛL : TM → TT∗M. Lagrangian side of the triple

TT∗M

αM

  • TπM

❉ ❉ ❉ ❉

τT∗M

☛☛☛☛☛☛☛☛☛☛ T∗TM

πTM

❉ ❉ ❉ ❉

ξ

☛☛☛☛☛☛☛☛☛☛ TM

  • τM

☞☞☞☞☞☞☞☞☞☞ TM

τM

☞☞☞☞☞☞☞☞☞☞ T∗M

  • πM

❋ ❋ ❋ ❋ ❋ T∗M

πM

❋ ❋ ❋ ❋ ❋

M

M

D = α−1

M (dL(TM))) = ΛL(TM) is the phase dynamics

λL : TM → T∗M, λL(v) = ξ(dL(v)), λL(q, ˙ q) = (q, ∂L ∂ ˙ q ). D =

  • (q, p, ˙

q, ˙ p) : p = ∂L ∂ ˙ q , ˙ p = ∂L ∂q

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 3 / 30

slide-14
SLIDE 14

Tulczyjew Triple

M - positions,

TM - (kinematic)

configurations, L : TM → R - Lagrangian

T∗M - phase space

Legendre map λ : TM → T∗M Tulczyjew differential ΛL : TM → TT∗M. Lagrangian side of the triple D

TT∗M

αM

❉ ❉ ❉ ❉ ☛☛☛☛☛☛☛☛☛☛ T∗TM

❉ ❉ ❉ ❉ ☛☛☛☛☛☛☛☛☛☛ TM TM

dL

  • λL

❧❧❧❧❧❧❧❧❧❧

ΛL

❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳ T∗M T∗M

M M D = α−1

M (dL(TM))) = ΛL(TM) is the phase dynamics

λL : TM → T∗M, λL(v) = ξ(dL(v)), λL(q, ˙ q) = (q, ∂L ∂ ˙ q ). D =

  • (q, p, ˙

q, ˙ p) : p = ∂L ∂ ˙ q , ˙ p = ∂L ∂q

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 3 / 30

slide-15
SLIDE 15

Tulczyjew Triple

M - positions,

TM - (kinematic)

configurations, L : TM → R - Lagrangian

T∗M - phase space

Legendre map λ : TM → T∗M Tulczyjew differential ΛL : TM → TT∗M. Lagrangian side of the triple D

TT∗M

αM

❉ ❉ ❉ ❉ ☛☛☛☛☛☛☛☛☛☛ T∗TM

❉ ❉ ❉ ❉ ☛☛☛☛☛☛☛☛☛☛ TM TM

dL

  • λL

❧❧❧❧❧❧❧❧❧❧

ΛL

❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳ T∗M T∗M

M M D = α−1

M (dL(TM))) = ΛL(TM) is the phase dynamics

λL : TM → T∗M, λL(v) = ξ(dL(v)), λL(q, ˙ q) = (q, ∂L ∂ ˙ q ). D =

  • (q, p, ˙

q, ˙ p) : p = ∂L ∂ ˙ q , ˙ p = ∂L ∂q

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 3 / 30

slide-16
SLIDE 16

Tulczyjew Triple

M - positions,

TM - (kinematic)

configurations, L : TM → R - Lagrangian

T∗M - phase space

Legendre map λ : TM → T∗M Tulczyjew differential ΛL : TM → TT∗M. Lagrangian side of the triple D

TT∗M

αM

❉ ❉ ❉ ❉ ☛☛☛☛☛☛☛☛☛☛ T∗TM

❉ ❉ ❉ ❉ ☛☛☛☛☛☛☛☛☛☛ TM TM

dL

  • λL

❧❧❧❧❧❧❧❧❧❧

ΛL

❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳❳ T∗M T∗M

M M D = α−1

M (dL(TM))) = ΛL(TM) is the phase dynamics

λL : TM → T∗M, λL(v) = ξ(dL(v)), λL(q, ˙ q) = (q, ∂L ∂ ˙ q ). D =

  • (q, p, ˙

q, ˙ p) : p = ∂L ∂ ˙ q , ˙ p = ∂L ∂q

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 3 / 30

slide-17
SLIDE 17

Tulczyjew Triple

canonical isomorphism

T∗TM ≃ T∗T∗M,

H : T∗M → R D = β−1

M (dH(T∗M)))

D =

  • (q, p, ˙

q, ˙ p) : ˙ p = −∂H ∂q , ˙ q = ∂H ∂p

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 4 / 30

slide-18
SLIDE 18

Tulczyjew Triple

canonical isomorphism

T∗TM ≃ T∗T∗M,

H : T∗M → R D = β−1

M (dH(T∗M)))

D =

  • (q, p, ˙

q, ˙ p) : ˙ p = −∂H ∂q , ˙ q = ∂H ∂p

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 4 / 30

slide-19
SLIDE 19

Tulczyjew Triple

canonical isomorphism

T∗TM ≃ T∗T∗M,

H : T∗M → R Hamiltonian side of the triple

T∗T∗M

ζ

❋ ❋ ❋ ❋

πT∗M

✠✠✠✠✠✠✠✠✠✠✠ TT∗M

TπM

❉ ❉ ❉ ❉

τT∗M

☛☛☛☛☛☛☛☛☛☛

βM

  • TM

τM

☛☛☛☛☛☛☛☛☛☛ TM

τM

☞☞☞☞☞☞☞☞☞☞

  • T∗M

πM

❍ ❍ ❍ ❍ ❍ T∗M

πM

❋ ❋ ❋ ❋ ❋

  • M

M

  • D = β−1

M (dH(T∗M)))

D =

  • (q, p, ˙

q, ˙ p) : ˙ p = −∂H ∂q , ˙ q = ∂H ∂p

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 4 / 30

slide-20
SLIDE 20

Tulczyjew Triple

canonical isomorphism

T∗TM ≃ T∗T∗M,

H : T∗M → R Hamiltonian side of the triple

T∗T∗M

ζ

❋ ❋ ❋ ❋

πT∗M

✠✠✠✠✠✠✠✠✠✠✠ TT∗M

❉ ❉ ❉ ❉ ☛☛☛☛☛☛☛☛☛☛

βM

  • D
  • TM

TM T∗M

dH

  • T∗M

M M D = β−1

M (dH(T∗M)))

D =

  • (q, p, ˙

q, ˙ p) : ˙ p = −∂H ∂q , ˙ q = ∂H ∂p

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 4 / 30

slide-21
SLIDE 21

Tulczyjew Triple

canonical isomorphism

T∗TM ≃ T∗T∗M,

H : T∗M → R Hamiltonian side of the triple

T∗T∗M

ζ

❋ ❋ ❋ ❋

πT∗M

✠✠✠✠✠✠✠✠✠✠✠ TT∗M

❉ ❉ ❉ ❉ ☛☛☛☛☛☛☛☛☛☛

βM

  • D
  • TM

TM T∗M

dH

  • T∗M

M M D = β−1

M (dH(T∗M)))

D =

  • (q, p, ˙

q, ˙ p) : ˙ p = −∂H ∂q , ˙ q = ∂H ∂p

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 4 / 30

slide-22
SLIDE 22

Tulczyjew Triple

canonical isomorphism

T∗TM ≃ T∗T∗M,

H : T∗M → R Hamiltonian side of the triple

T∗T∗M

ζ

❋ ❋ ❋ ❋

πT∗M

✠✠✠✠✠✠✠✠✠✠✠ TT∗M

❉ ❉ ❉ ❉ ☛☛☛☛☛☛☛☛☛☛

βM

  • D
  • TM

TM T∗M

dH

  • T∗M

M M D = β−1

M (dH(T∗M)))

D =

  • (q, p, ˙

q, ˙ p) : ˙ p = −∂H ∂q , ˙ q = ∂H ∂p

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 4 / 30

slide-23
SLIDE 23

Mechanics on algebroids

Definition

A double vector bundle is a manifold with two compatible vector bundle

  • structures. Compatibility means that the Euler vector fields (generators of

homotheties) associated with the two structures commute. τ : E − → M (xa, yi) − → (xa) τM : TM − → M (xa, ˙ xb) − → (xa) π : E ∗ − → M (xa, ξi) − → (xa) πM : T∗M − → M (xa, pb) − → (xa) ∇1 = ˙ xa∂ ˙

xa + ˙

ξi∂ ˙

ξi

∇2 = ξi∂ξi + ˙ ξj∂ ˙

ξj

JG (IMPAN) Dirac Algebroids 26/11/2014 5 / 30

slide-24
SLIDE 24

Mechanics on algebroids

Definition

A double vector bundle is a manifold with two compatible vector bundle

  • structures. Compatibility means that the Euler vector fields (generators of

homotheties) associated with the two structures commute. τ : E − → M (xa, yi) − → (xa) τM : TM − → M (xa, ˙ xb) − → (xa) π : E ∗ − → M (xa, ξi) − → (xa) πM : T∗M − → M (xa, pb) − → (xa) ∇1 = ˙ xa∂ ˙

xa + ˙

ξi∂ ˙

ξi

∇2 = ξi∂ξi + ˙ ξj∂ ˙

ξj

JG (IMPAN) Dirac Algebroids 26/11/2014 5 / 30

slide-25
SLIDE 25

Mechanics on algebroids

Definition

A double vector bundle is a manifold with two compatible vector bundle

  • structures. Compatibility means that the Euler vector fields (generators of

homotheties) associated with the two structures commute. τ : E − → M (xa, yi) − → (xa) τM : TM − → M (xa, ˙ xb) − → (xa) π : E ∗ − → M (xa, ξi) − → (xa) πM : T∗M − → M (xa, pb) − → (xa) ∇1 = ˙ xa∂ ˙

xa + ˙

ξi∂ ˙

ξi

∇2 = ξi∂ξi + ˙ ξj∂ ˙

ξj

JG (IMPAN) Dirac Algebroids 26/11/2014 5 / 30

slide-26
SLIDE 26

Mechanics on algebroids

Definition

A double vector bundle is a manifold with two compatible vector bundle

  • structures. Compatibility means that the Euler vector fields (generators of

homotheties) associated with the two structures commute. τ : E − → M (xa, yi) − → (xa) τM : TM − → M (xa, ˙ xb) − → (xa) π : E ∗ − → M (xa, ξi) − → (xa) πM : T∗M − → M (xa, pb) − → (xa) τE ∗ : TE ∗ − → E ∗ (xa, ξi, ˙ xb, ˙ ξj) − → (xa, ξi)

Tπ : TE ∗ −

→ TM (xa, ξi, ˙ xb, ˙ ξj) − → (xa, ˙ xb) ∇1 = ˙ xa∂ ˙

xa + ˙

ξi∂ ˙

ξi

∇2 = ξi∂ξi + ˙ ξj∂ ˙

ξj

JG (IMPAN) Dirac Algebroids 26/11/2014 5 / 30

slide-27
SLIDE 27

Mechanics on algebroids

Definition

A double vector bundle is a manifold with two compatible vector bundle

  • structures. Compatibility means that the Euler vector fields (generators of

homotheties) associated with the two structures commute. τ : E − → M (xa, yi) − → (xa) τM : TM − → M (xa, ˙ xb) − → (xa) π : E ∗ − → M (xa, ξi) − → (xa) πM : T∗M − → M (xa, pb) − → (xa)

TE ∗

❋ ❋ ❋ ❋ ❋ ❋ ❋

τE∗

②②②②②②②②

E ∗

π

❊ ❊ ❊ ❊ ❊ ❊ ❊ TM

τM

①①①①①①①①①

M ∇1 = ˙ xa∂ ˙

xa + ˙

ξi∂ ˙

ξi

∇2 = ξi∂ξi + ˙ ξj∂ ˙

ξj

JG (IMPAN) Dirac Algebroids 26/11/2014 5 / 30

slide-28
SLIDE 28

Mechanics on algebroids

Definition

A double vector bundle is a manifold with two compatible vector bundle

  • structures. Compatibility means that the Euler vector fields (generators of

homotheties) associated with the two structures commute. τ : E − → M (xa, yi) − → (xa) τM : TM − → M (xa, ˙ xb) − → (xa) π : E ∗ − → M (xa, ξi) − → (xa) πM : T∗M − → M (xa, pb) − → (xa)

TE ∗

❋ ❋ ❋ ❋ ❋ ❋ ❋

τE∗

②②②②②②②②

E ∗

π

❊ ❊ ❊ ❊ ❊ ❊ ❊ TM

τM

①①①①①①①①①

M ∇1 = ˙ xa∂ ˙

xa + ˙

ξi∂ ˙

ξi

∇2 = ξi∂ξi + ˙ ξj∂ ˙

ξj

JG (IMPAN) Dirac Algebroids 26/11/2014 5 / 30

slide-29
SLIDE 29

Fundamental isomorphisms

πE ∗ : T∗E ∗ − → E ∗ ζ : T∗E ∗ − → E (xa, ξi, pb, yj) − → (xa, ξi) (xa, ξi, pb, yj) − → (xa, yj) ∇1 = pa∂pa + yi∂yi , ∇2 = pa∂pa + ξi∂ξi . Double vector bundle T∗E ∗ is (anti-)symplectically isomorphic to T∗E: R : T∗E → T∗E ∗ , (xa, yi, pb, ξj) − → (xa, ξi, −pb, yj) .

JG (IMPAN) Dirac Algebroids 26/11/2014 6 / 30

slide-30
SLIDE 30

Fundamental isomorphisms

πE ∗ : T∗E ∗ − → E ∗ ζ : T∗E ∗ − → E (xa, ξi, pb, yj) − → (xa, ξi) (xa, ξi, pb, yj) − → (xa, yj) ∇1 = pa∂pa + yi∂yi , ∇2 = pa∂pa + ξi∂ξi . Double vector bundle T∗E ∗ is (anti-)symplectically isomorphic to T∗E: R : T∗E → T∗E ∗ , (xa, yi, pb, ξj) − → (xa, ξi, −pb, yj) .

JG (IMPAN) Dirac Algebroids 26/11/2014 6 / 30

slide-31
SLIDE 31

Fundamental isomorphisms

πE ∗ : T∗E ∗ − → E ∗ ζ : T∗E ∗ − → E (xa, ξi, pb, yj) − → (xa, ξi) (xa, ξi, pb, yj) − → (xa, yj)

T∗E ∗

ζ

❊ ❊ ❊ ❊ ❊ ❊ ❊ ❊

πE∗

① ① ① ① ① ① ① ① ①

E ∗

π

❋ ❋ ❋ ❋ ❋ ❋ ❋ ❋

E

τ

②②②②②②②②

M ∇1 = pa∂pa + yi∂yi , ∇2 = pa∂pa + ξi∂ξi . Double vector bundle T∗E ∗ is (anti-)symplectically isomorphic to T∗E: R : T∗E → T∗E ∗ , (xa, yi, pb, ξj) − → (xa, ξi, −pb, yj) .

JG (IMPAN) Dirac Algebroids 26/11/2014 6 / 30

slide-32
SLIDE 32

Fundamental isomorphisms

πE ∗ : T∗E ∗ − → E ∗ ζ : T∗E ∗ − → E (xa, ξi, pb, yj) − → (xa, ξi) (xa, ξi, pb, yj) − → (xa, yj)

T∗E ∗

ζ

❊ ❊ ❊ ❊ ❊ ❊ ❊ ❊

πE∗

① ① ① ① ① ① ① ① ①

E ∗

π

❋ ❋ ❋ ❋ ❋ ❋ ❋ ❋

E

τ

②②②②②②②②

M ∇1 = pa∂pa + yi∂yi , ∇2 = pa∂pa + ξi∂ξi . Double vector bundle T∗E ∗ is (anti-)symplectically isomorphic to T∗E: R : T∗E → T∗E ∗ , (xa, yi, pb, ξj) − → (xa, ξi, −pb, yj) .

JG (IMPAN) Dirac Algebroids 26/11/2014 6 / 30

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SLIDE 33

Fundamental isomorphisms

πE ∗ : T∗E ∗ − → E ∗ ζ : T∗E ∗ − → E (xa, ξi, pb, yj) − → (xa, ξi) (xa, ξi, pb, yj) − → (xa, yj)

T∗E ∗

ζ

❊ ❊ ❊ ❊ ❊ ❊ ❊ ❊

πE∗

① ① ① ① ① ① ① ① ①

E ∗

π

❋ ❋ ❋ ❋ ❋ ❋ ❋ ❋

E

τ

②②②②②②②②

M ∇1 = pa∂pa + yi∂yi , ∇2 = pa∂pa + ξi∂ξi . Double vector bundle T∗E ∗ is (anti-)symplectically isomorphic to T∗E: R : T∗E → T∗E ∗ , (xa, yi, pb, ξj) − → (xa, ξi, −pb, yj) .

JG (IMPAN) Dirac Algebroids 26/11/2014 6 / 30

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SLIDE 34

Algebroids

A general algebroid is a double vector bundle morphism covering the identity on E ∗ (ε = α−1

M for E = TM):

T∗E

ε

  • πE

■ ■ ■ ■

T∗τ

✝✝✝✝✝✝✝✝✝ TE ∗

▲ ▲ ▲

τE∗

✝✝✝✝✝✝✝✝✝

E

ρ

  • τ

✞✞✞✞✞✞✞✞ TM

τM

☎☎☎☎☎☎☎☎☎

E ∗

id

  • π

❑ ❑ ❑ ❑

E ∗

π

❑ ❑ ❑ ❑

M

id

M

ε(xa, yi, pb, ξj) = (xa, ξi, ρb

k(x)yk, ck ij (x)yiξk + σa j (x)pa)

Πε = ck

ij (x)ξk∂ξi ⊗ ∂ξj + ρb i (x)∂ξi ⊗ ∂xb − σa j (x)∂xa ⊗ ∂ξj.

It is a skew algebroid (resp. Lie algebroid) if the tensor Πε is a bivector field (resp., Poisson tensor).

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slide-35
SLIDE 35

Algebroids

A general algebroid is a double vector bundle morphism covering the identity on E ∗ (ε = α−1

M for E = TM):

T∗E

ε

  • πE

■ ■ ■ ■

T∗τ

✝✝✝✝✝✝✝✝✝ TE ∗

▲ ▲ ▲

τE∗

✝✝✝✝✝✝✝✝✝

E

ρ

  • τ

✞✞✞✞✞✞✞✞ TM

τM

☎☎☎☎☎☎☎☎☎

E ∗

id

  • π

❑ ❑ ❑ ❑

E ∗

π

❑ ❑ ❑ ❑

M

id

M

ε(xa, yi, pb, ξj) = (xa, ξi, ρb

k(x)yk, ck ij (x)yiξk + σa j (x)pa)

Πε = ck

ij (x)ξk∂ξi ⊗ ∂ξj + ρb i (x)∂ξi ⊗ ∂xb − σa j (x)∂xa ⊗ ∂ξj.

It is a skew algebroid (resp. Lie algebroid) if the tensor Πε is a bivector field (resp., Poisson tensor).

JG (IMPAN) Dirac Algebroids 26/11/2014 7 / 30

slide-36
SLIDE 36

Algebroids

A general algebroid is a double vector bundle morphism covering the identity on E ∗ (ε = α−1

M for E = TM):

T∗E

ε

  • πE

■ ■ ■ ■

T∗τ

✝✝✝✝✝✝✝✝✝ TE ∗

▲ ▲ ▲

τE∗

✝✝✝✝✝✝✝✝✝

E

ρ

  • τ

✞✞✞✞✞✞✞✞ TM

τM

☎☎☎☎☎☎☎☎☎

E ∗

id

  • π

❑ ❑ ❑ ❑

E ∗

π

❑ ❑ ❑ ❑

M

id

M

ε(xa, yi, pb, ξj) = (xa, ξi, ρb

k(x)yk, ck ij (x)yiξk + σa j (x)pa)

Πε = ck

ij (x)ξk∂ξi ⊗ ∂ξj + ρb i (x)∂ξi ⊗ ∂xb − σa j (x)∂xa ⊗ ∂ξj.

It is a skew algebroid (resp. Lie algebroid) if the tensor Πε is a bivector field (resp., Poisson tensor).

JG (IMPAN) Dirac Algebroids 26/11/2014 7 / 30

slide-37
SLIDE 37

Algebroids

A general algebroid is a double vector bundle morphism covering the identity on E ∗ (ε = α−1

M for E = TM):

T∗E

ε

  • πE

■ ■ ■ ■

T∗τ

✝✝✝✝✝✝✝✝✝ TE ∗

▲ ▲ ▲

τE∗

✝✝✝✝✝✝✝✝✝

E

ρ

  • τ

✞✞✞✞✞✞✞✞ TM

τM

☎☎☎☎☎☎☎☎☎

E ∗

id

  • π

❑ ❑ ❑ ❑

E ∗

π

❑ ❑ ❑ ❑

M

id

M

ε(xa, yi, pb, ξj) = (xa, ξi, ρb

k(x)yk, ck ij (x)yiξk + σa j (x)pa)

Πε = ck

ij (x)ξk∂ξi ⊗ ∂ξj + ρb i (x)∂ξi ⊗ ∂xb − σa j (x)∂xa ⊗ ∂ξj.

It is a skew algebroid (resp. Lie algebroid) if the tensor Πε is a bivector field (resp., Poisson tensor).

JG (IMPAN) Dirac Algebroids 26/11/2014 7 / 30

slide-38
SLIDE 38

Algebroids

A general algebroid is a double vector bundle morphism covering the identity on E ∗ (ε = α−1

M for E = TM):

T∗E

ε

  • πE

■ ■ ■ ■

T∗τ

✝✝✝✝✝✝✝✝✝ TE ∗

▲ ▲ ▲

τE∗

✝✝✝✝✝✝✝✝✝

E

ρ

  • τ

✞✞✞✞✞✞✞✞ TM

τM

☎☎☎☎☎☎☎☎☎

E ∗

id

  • π

❑ ❑ ❑ ❑

E ∗

π

❑ ❑ ❑ ❑

M

id

M

ε(xa, yi, pb, ξj) = (xa, ξi, ρb

k(x)yk, ck ij (x)yiξk + σa j (x)pa)

Πε = ck

ij (x)ξk∂ξi ⊗ ∂ξj + ρb i (x)∂ξi ⊗ ∂xb − σa j (x)∂xa ⊗ ∂ξj.

It is a skew algebroid (resp. Lie algebroid) if the tensor Πε is a bivector field (resp., Poisson tensor).

JG (IMPAN) Dirac Algebroids 26/11/2014 7 / 30

slide-39
SLIDE 39

Algebroid setting, no constraints

DL

T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ Πε

TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

ε

  • E

ρ

  • ✡✡✡✡✡✡✡✡✡✡

TM ✠✠✠✠✠✠✠✠✠✠✠

E

☞☞☞☞☞☞☞☞☞☞

ρ

  • E ∗

❍ ❍ ❍ ❍ ❍

E ∗

❋ ❋ ❋ ❋ ❋

E ∗

❋ ❋ ❋ ❋ ❋

M

M

M

  • H : E ∗ −

→ R DH = dH(E ∗) ⊂ T∗E ∗ D = ΛL(E) D = ˜ Πε(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E The left-hand side is Hamiltonian, the right-hand side is Lagrangian, the phase dynamics lives in the center. We can start equally with L or H, but

  • nly in particular cases there is a Hamiltonian description corresponding to

a given Lagrangian (˜ Πε(dH(E ∗)) = ΛL(E)).

JG (IMPAN) Dirac Algebroids 26/11/2014 8 / 30

slide-40
SLIDE 40

Algebroid setting, no constraints

DL

  • T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ Πε

TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

ε

  • E

ρ

  • ✡✡✡✡✡✡✡✡✡✡

TM ✠✠✠✠✠✠✠✠✠✠✠

E

☞☞☞☞☞☞☞☞☞☞

ρ

  • dL
  • λL

❧❧❧❧❧❧❧❧❧❧❧❧

ΛL

❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨

E ∗

❍ ❍ ❍ ❍ ❍

E ∗

❋ ❋ ❋ ❋ ❋

E ∗

❋ ❋ ❋ ❋ ❋

M

M

M

  • H : E ∗ −

→ R DH = dH(E ∗) ⊂ T∗E ∗ D = ΛL(E) D = ˜ Πε(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E The left-hand side is Hamiltonian, the right-hand side is Lagrangian, the phase dynamics lives in the center. We can start equally with L or H, but

  • nly in particular cases there is a Hamiltonian description corresponding to

a given Lagrangian (˜ Πε(dH(E ∗)) = ΛL(E)).

JG (IMPAN) Dirac Algebroids 26/11/2014 8 / 30

slide-41
SLIDE 41

Algebroid setting, no constraints

D

  • DL
  • T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ Πε

TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

ε

  • E

ρ

  • ✡✡✡✡✡✡✡✡✡✡

TM ✠✠✠✠✠✠✠✠✠✠✠

E

☞☞☞☞☞☞☞☞☞☞

ρ

  • dL
  • λL

❧❧❧❧❧❧❧❧❧❧❧❧

ΛL

❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨

E ∗

❍ ❍ ❍ ❍ ❍

E ∗

❋ ❋ ❋ ❋ ❋

E ∗

❋ ❋ ❋ ❋ ❋

M

M

M

  • H : E ∗ −

→ R DH = dH(E ∗) ⊂ T∗E ∗ D = ΛL(E) D = ˜ Πε(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E The left-hand side is Hamiltonian, the right-hand side is Lagrangian, the phase dynamics lives in the center. We can start equally with L or H, but

  • nly in particular cases there is a Hamiltonian description corresponding to

a given Lagrangian (˜ Πε(dH(E ∗)) = ΛL(E)).

JG (IMPAN) Dirac Algebroids 26/11/2014 8 / 30

slide-42
SLIDE 42

Algebroid setting, no constraints

DH

  • D
  • DL
  • T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ Πε

TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

ε

  • E

ρ

  • ✡✡✡✡✡✡✡✡✡✡

TM ✠✠✠✠✠✠✠✠✠✠✠

E

☞☞☞☞☞☞☞☞☞☞

ρ

  • dL
  • λL

❧❧❧❧❧❧❧❧❧❧❧❧

ΛL

❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨

E ∗

❍ ❍ ❍ ❍ ❍

dH

  • E ∗

❋ ❋ ❋ ❋ ❋

E ∗

❋ ❋ ❋ ❋ ❋

M

M

M

  • H : E ∗ −

→ R DH = dH(E ∗) ⊂ T∗E ∗ D = ΛL(E) D = ˜ Πε(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E The left-hand side is Hamiltonian, the right-hand side is Lagrangian, the phase dynamics lives in the center. We can start equally with L or H, but

  • nly in particular cases there is a Hamiltonian description corresponding to

a given Lagrangian (˜ Πε(dH(E ∗)) = ΛL(E)).

JG (IMPAN) Dirac Algebroids 26/11/2014 8 / 30

slide-43
SLIDE 43

Algebroid setting, no constraints

DH

  • D
  • DL
  • T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ Πε

TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

ε

  • E

ρ

  • ✡✡✡✡✡✡✡✡✡✡

TM ✠✠✠✠✠✠✠✠✠✠✠

E

☞☞☞☞☞☞☞☞☞☞

ρ

  • dL
  • λL

❧❧❧❧❧❧❧❧❧❧❧❧

ΛL

❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨

E ∗

❍ ❍ ❍ ❍ ❍

dH

  • E ∗

❋ ❋ ❋ ❋ ❋

E ∗

❋ ❋ ❋ ❋ ❋

M

M

M

  • H : E ∗ −

→ R DH = dH(E ∗) ⊂ T∗E ∗ D = ΛL(E) D = ˜ Πε(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E The left-hand side is Hamiltonian, the right-hand side is Lagrangian, the phase dynamics lives in the center. We can start equally with L or H, but

  • nly in particular cases there is a Hamiltonian description corresponding to

a given Lagrangian (˜ Πε(dH(E ∗)) = ΛL(E)).

JG (IMPAN) Dirac Algebroids 26/11/2014 8 / 30

slide-44
SLIDE 44

Algebroid setting, no constraints

DH

  • D
  • DL
  • T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ Πε

TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

ε

  • E

ρ

  • ✡✡✡✡✡✡✡✡✡✡

TM ✠✠✠✠✠✠✠✠✠✠✠

E

☞☞☞☞☞☞☞☞☞☞

ρ

  • dL
  • λL

❧❧❧❧❧❧❧❧❧❧❧❧

ΛL

❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨❨

E ∗

❍ ❍ ❍ ❍ ❍

dH

  • E ∗

❋ ❋ ❋ ❋ ❋

E ∗

❋ ❋ ❋ ❋ ❋

M

M

M

  • H : E ∗ −

→ R DH = dH(E ∗) ⊂ T∗E ∗ D = ΛL(E) D = ˜ Πε(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E The left-hand side is Hamiltonian, the right-hand side is Lagrangian, the phase dynamics lives in the center. We can start equally with L or H, but

  • nly in particular cases there is a Hamiltonian description corresponding to

a given Lagrangian (˜ Πε(dH(E ∗)) = ΛL(E)).

JG (IMPAN) Dirac Algebroids 26/11/2014 8 / 30

slide-45
SLIDE 45

Algebroids setting with constraints

Consider a constraint submanifold iS : S ֒ → E. Vakonomic constraint procedure (which is actually quite ‘holonomic’): Lagrangian L : S → R defines a lagrangian submanifold DL(S) ⊂ T∗E.

T∗E ⊃ DL(S)

ε

  • πE
  • D ⊂ TE ∗

τE∗

  • S ⊂ E

λL

ΛL

✯ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥

E ∗ . Here, ΛL and λL are relations! Similarly on the Hamiltonian side. Nonholonomic constrain procedure: S is a vector subbundle, L : E → R.

T∗E

ε

  • πE
  • TE ∗

Ti∗

S

D ⊂ TS∗

τS∗

  • S ⊂ E

dL

  • λL
  • ΛL

❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢

E ∗

i∗

S

S∗

. Not exactly a Tulczyjew triple. Solution: Dirac algebroids.

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slide-46
SLIDE 46

Algebroids setting with constraints

Consider a constraint submanifold iS : S ֒ → E. Vakonomic constraint procedure (which is actually quite ‘holonomic’): Lagrangian L : S → R defines a lagrangian submanifold DL(S) ⊂ T∗E.

T∗E ⊃ DL(S)

ε

  • πE
  • D ⊂ TE ∗

τE∗

  • S ⊂ E

λL

ΛL

✯ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥

E ∗ . Here, ΛL and λL are relations! Similarly on the Hamiltonian side. Nonholonomic constrain procedure: S is a vector subbundle, L : E → R.

T∗E

ε

  • πE
  • TE ∗

Ti∗

S

D ⊂ TS∗

τS∗

  • S ⊂ E

dL

  • λL
  • ΛL

❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢

E ∗

i∗

S

S∗

. Not exactly a Tulczyjew triple. Solution: Dirac algebroids.

JG (IMPAN) Dirac Algebroids 26/11/2014 9 / 30

slide-47
SLIDE 47

Algebroids setting with constraints

Consider a constraint submanifold iS : S ֒ → E. Vakonomic constraint procedure (which is actually quite ‘holonomic’): Lagrangian L : S → R defines a lagrangian submanifold DL(S) ⊂ T∗E.

T∗E ⊃ DL(S)

ε

  • πE
  • D ⊂ TE ∗

τE∗

  • S ⊂ E

λL

ΛL

✯ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥

E ∗ . Here, ΛL and λL are relations! Similarly on the Hamiltonian side. Nonholonomic constrain procedure: S is a vector subbundle, L : E → R.

T∗E

ε

  • πE
  • TE ∗

Ti∗

S

D ⊂ TS∗

τS∗

  • S ⊂ E

dL

  • λL
  • ΛL

❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢

E ∗

i∗

S

S∗

. Not exactly a Tulczyjew triple. Solution: Dirac algebroids.

JG (IMPAN) Dirac Algebroids 26/11/2014 9 / 30

slide-48
SLIDE 48

Algebroids setting with constraints

Consider a constraint submanifold iS : S ֒ → E. Vakonomic constraint procedure (which is actually quite ‘holonomic’): Lagrangian L : S → R defines a lagrangian submanifold DL(S) ⊂ T∗E.

T∗E ⊃ DL(S)

ε

  • πE
  • D ⊂ TE ∗

τE∗

  • S ⊂ E

λL

ΛL

✯ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥

E ∗ . Here, ΛL and λL are relations! Similarly on the Hamiltonian side. Nonholonomic constrain procedure: S is a vector subbundle, L : E → R.

T∗E

ε

  • πE
  • TE ∗

Ti∗

S

D ⊂ TS∗

τS∗

  • S ⊂ E

dL

  • λL
  • ΛL

❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢

E ∗

i∗

S

S∗

. Not exactly a Tulczyjew triple. Solution: Dirac algebroids.

JG (IMPAN) Dirac Algebroids 26/11/2014 9 / 30

slide-49
SLIDE 49

Algebroids setting with constraints

Consider a constraint submanifold iS : S ֒ → E. Vakonomic constraint procedure (which is actually quite ‘holonomic’): Lagrangian L : S → R defines a lagrangian submanifold DL(S) ⊂ T∗E.

T∗E ⊃ DL(S)

ε

  • πE
  • D ⊂ TE ∗

τE∗

  • S ⊂ E

λL

ΛL

✯ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥

E ∗ . Here, ΛL and λL are relations! Similarly on the Hamiltonian side. Nonholonomic constrain procedure: S is a vector subbundle, L : E → R.

T∗E

ε

  • πE
  • TE ∗

Ti∗

S

D ⊂ TS∗

τS∗

  • S ⊂ E

dL

  • λL
  • ΛL

❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢

E ∗

i∗

S

S∗

. Not exactly a Tulczyjew triple. Solution: Dirac algebroids.

JG (IMPAN) Dirac Algebroids 26/11/2014 9 / 30

slide-50
SLIDE 50

Algebroids setting with constraints

Consider a constraint submanifold iS : S ֒ → E. Vakonomic constraint procedure (which is actually quite ‘holonomic’): Lagrangian L : S → R defines a lagrangian submanifold DL(S) ⊂ T∗E.

T∗E ⊃ DL(S)

ε

  • πE
  • D ⊂ TE ∗

τE∗

  • S ⊂ E

λL

ΛL

✯ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥

E ∗ . Here, ΛL and λL are relations! Similarly on the Hamiltonian side. Nonholonomic constrain procedure: S is a vector subbundle, L : E → R.

T∗E

ε

  • πE
  • TE ∗

Ti∗

S

D ⊂ TS∗

τS∗

  • S ⊂ E

dL

  • λL
  • ΛL

❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢

E ∗

i∗

S

S∗

. Not exactly a Tulczyjew triple. Solution: Dirac algebroids.

JG (IMPAN) Dirac Algebroids 26/11/2014 9 / 30

slide-51
SLIDE 51

Algebroids setting with constraints

Consider a constraint submanifold iS : S ֒ → E. Vakonomic constraint procedure (which is actually quite ‘holonomic’): Lagrangian L : S → R defines a lagrangian submanifold DL(S) ⊂ T∗E.

T∗E ⊃ DL(S)

ε

  • πE
  • D ⊂ TE ∗

τE∗

  • S ⊂ E

λL

ΛL

✯ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥

E ∗ . Here, ΛL and λL are relations! Similarly on the Hamiltonian side. Nonholonomic constrain procedure: S is a vector subbundle, L : E → R.

T∗E

ε

  • πE
  • TE ∗

Ti∗

S

D ⊂ TS∗

τS∗

  • S ⊂ E

dL

  • λL
  • ΛL

❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢

E ∗

i∗

S

S∗

. Not exactly a Tulczyjew triple. Solution: Dirac algebroids.

JG (IMPAN) Dirac Algebroids 26/11/2014 9 / 30

slide-52
SLIDE 52

Algebroids setting with constraints

Consider a constraint submanifold iS : S ֒ → E. Vakonomic constraint procedure (which is actually quite ‘holonomic’): Lagrangian L : S → R defines a lagrangian submanifold DL(S) ⊂ T∗E.

T∗E ⊃ DL(S)

ε

  • πE
  • D ⊂ TE ∗

τE∗

  • S ⊂ E

λL

ΛL

✯ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥

E ∗ . Here, ΛL and λL are relations! Similarly on the Hamiltonian side. Nonholonomic constrain procedure: S is a vector subbundle, L : E → R.

T∗E

ε

  • πE
  • TE ∗

Ti∗

S

D ⊂ TS∗

τS∗

  • S ⊂ E

dL

  • λL
  • ΛL

❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢

E ∗

i∗

S

S∗

. Not exactly a Tulczyjew triple. Solution: Dirac algebroids.

JG (IMPAN) Dirac Algebroids 26/11/2014 9 / 30

slide-53
SLIDE 53

Algebroids setting with constraints

Consider a constraint submanifold iS : S ֒ → E. Vakonomic constraint procedure (which is actually quite ‘holonomic’): Lagrangian L : S → R defines a lagrangian submanifold DL(S) ⊂ T∗E.

T∗E ⊃ DL(S)

ε

  • πE
  • D ⊂ TE ∗

τE∗

  • S ⊂ E

λL

ΛL

✯ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥ ❥

E ∗ . Here, ΛL and λL are relations! Similarly on the Hamiltonian side. Nonholonomic constrain procedure: S is a vector subbundle, L : E → R.

T∗E

ε

  • πE
  • TE ∗

Ti∗

S

D ⊂ TS∗

τS∗

  • S ⊂ E

dL

  • λL
  • ΛL

❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢ ❢

E ∗

i∗

S

S∗

. Not exactly a Tulczyjew triple. Solution: Dirac algebroids.

JG (IMPAN) Dirac Algebroids 26/11/2014 9 / 30

slide-54
SLIDE 54

Dirac structures

There is a canonical symmetric pairing on the extended tangent bundle (Pontryagin bundle) T N = TN ⊕N T∗N: (X1 + α1 | X2 + α2) = 1 2 (α1(X2) + α2(X1)) . Courant-Dorfman bracket on the space of Sec(T N): [ [X1 + α1, X2 + α2] ] = [X1, X2] + LX1α2 − ıX2dα1 .

Definition

An almost Dirac structure on the smooth manifold N is a subbundle D of T N which is maximally isotropic with respect to the symmetric pairing (·|·). If, additionally, the space of sections of D is closed under the Courant-Dorfman bracket, we speak about a Dirac structure. Note that here a subbundle D may be supported on a submanifold N0 ⊂ N.

JG (IMPAN) Dirac Algebroids 26/11/2014 10 / 30

slide-55
SLIDE 55

Dirac structures

There is a canonical symmetric pairing on the extended tangent bundle (Pontryagin bundle) T N = TN ⊕N T∗N: (X1 + α1 | X2 + α2) = 1 2 (α1(X2) + α2(X1)) . Courant-Dorfman bracket on the space of Sec(T N): [ [X1 + α1, X2 + α2] ] = [X1, X2] + LX1α2 − ıX2dα1 .

Definition

An almost Dirac structure on the smooth manifold N is a subbundle D of T N which is maximally isotropic with respect to the symmetric pairing (·|·). If, additionally, the space of sections of D is closed under the Courant-Dorfman bracket, we speak about a Dirac structure. Note that here a subbundle D may be supported on a submanifold N0 ⊂ N.

JG (IMPAN) Dirac Algebroids 26/11/2014 10 / 30

slide-56
SLIDE 56

Dirac structures

There is a canonical symmetric pairing on the extended tangent bundle (Pontryagin bundle) T N = TN ⊕N T∗N: (X1 + α1 | X2 + α2) = 1 2 (α1(X2) + α2(X1)) . Courant-Dorfman bracket on the space of Sec(T N): [ [X1 + α1, X2 + α2] ] = [X1, X2] + LX1α2 − ıX2dα1 .

Definition

An almost Dirac structure on the smooth manifold N is a subbundle D of T N which is maximally isotropic with respect to the symmetric pairing (·|·). If, additionally, the space of sections of D is closed under the Courant-Dorfman bracket, we speak about a Dirac structure. Note that here a subbundle D may be supported on a submanifold N0 ⊂ N.

JG (IMPAN) Dirac Algebroids 26/11/2014 10 / 30

slide-57
SLIDE 57

Dirac structures

There is a canonical symmetric pairing on the extended tangent bundle (Pontryagin bundle) T N = TN ⊕N T∗N: (X1 + α1 | X2 + α2) = 1 2 (α1(X2) + α2(X1)) . Courant-Dorfman bracket on the space of Sec(T N): [ [X1 + α1, X2 + α2] ] = [X1, X2] + LX1α2 − ıX2dα1 .

Definition

An almost Dirac structure on the smooth manifold N is a subbundle D of T N which is maximally isotropic with respect to the symmetric pairing (·|·). If, additionally, the space of sections of D is closed under the Courant-Dorfman bracket, we speak about a Dirac structure. Note that here a subbundle D may be supported on a submanifold N0 ⊂ N.

JG (IMPAN) Dirac Algebroids 26/11/2014 10 / 30

slide-58
SLIDE 58

Dirac structures

There is a canonical symmetric pairing on the extended tangent bundle (Pontryagin bundle) T N = TN ⊕N T∗N: (X1 + α1 | X2 + α2) = 1 2 (α1(X2) + α2(X1)) . Courant-Dorfman bracket on the space of Sec(T N): [ [X1 + α1, X2 + α2] ] = [X1, X2] + LX1α2 − ıX2dα1 .

Definition

An almost Dirac structure on the smooth manifold N is a subbundle D of T N which is maximally isotropic with respect to the symmetric pairing (·|·). If, additionally, the space of sections of D is closed under the Courant-Dorfman bracket, we speak about a Dirac structure. Note that here a subbundle D may be supported on a submanifold N0 ⊂ N.

JG (IMPAN) Dirac Algebroids 26/11/2014 10 / 30

slide-59
SLIDE 59

Dirac structures

There is a canonical symmetric pairing on the extended tangent bundle (Pontryagin bundle) T N = TN ⊕N T∗N: (X1 + α1 | X2 + α2) = 1 2 (α1(X2) + α2(X1)) . Courant-Dorfman bracket on the space of Sec(T N): [ [X1 + α1, X2 + α2] ] = [X1, X2] + LX1α2 − ıX2dα1 .

Definition

An almost Dirac structure on the smooth manifold N is a subbundle D of T N which is maximally isotropic with respect to the symmetric pairing (·|·). If, additionally, the space of sections of D is closed under the Courant-Dorfman bracket, we speak about a Dirac structure. Note that here a subbundle D may be supported on a submanifold N0 ⊂ N.

JG (IMPAN) Dirac Algebroids 26/11/2014 10 / 30

slide-60
SLIDE 60

Dirac structures

For Π ∈ Sec(2 TN), Π : T∗N ∋ α − → ıαΠ ∈ TN, D = graph( Π) ⊂ T N is an almost Dirac structure . Π is a Poisson ⇔ D is a Dirac structure. For ω ∈ Sec(2 T∗N), ω : TN ∋ X − → −ıXω ∈ T∗N, D = graph( ω) ⊂ T N is an almost Dirac structure . ω is a closed ⇔ D is a Dirac structure. For a distribution ∆ on N, D = ∆ ⊕ ∆⊥ ⊂ T N is an almost Dirac structure . ∆ is integrable ⇔ D is a Dirac structure.

JG (IMPAN) Dirac Algebroids 26/11/2014 11 / 30

slide-61
SLIDE 61

Dirac structures

For Π ∈ Sec(2 TN), Π : T∗N ∋ α − → ıαΠ ∈ TN, D = graph( Π) ⊂ T N is an almost Dirac structure . Π is a Poisson ⇔ D is a Dirac structure. For ω ∈ Sec(2 T∗N), ω : TN ∋ X − → −ıXω ∈ T∗N, D = graph( ω) ⊂ T N is an almost Dirac structure . ω is a closed ⇔ D is a Dirac structure. For a distribution ∆ on N, D = ∆ ⊕ ∆⊥ ⊂ T N is an almost Dirac structure . ∆ is integrable ⇔ D is a Dirac structure.

JG (IMPAN) Dirac Algebroids 26/11/2014 11 / 30

slide-62
SLIDE 62

Dirac structures

For Π ∈ Sec(2 TN), Π : T∗N ∋ α − → ıαΠ ∈ TN, D = graph( Π) ⊂ T N is an almost Dirac structure . Π is a Poisson ⇔ D is a Dirac structure. For ω ∈ Sec(2 T∗N), ω : TN ∋ X − → −ıXω ∈ T∗N, D = graph( ω) ⊂ T N is an almost Dirac structure . ω is a closed ⇔ D is a Dirac structure. For a distribution ∆ on N, D = ∆ ⊕ ∆⊥ ⊂ T N is an almost Dirac structure . ∆ is integrable ⇔ D is a Dirac structure.

JG (IMPAN) Dirac Algebroids 26/11/2014 11 / 30

slide-63
SLIDE 63

Dirac structures

For Π ∈ Sec(2 TN), Π : T∗N ∋ α − → ıαΠ ∈ TN, D = graph( Π) ⊂ T N is an almost Dirac structure . Π is a Poisson ⇔ D is a Dirac structure. For ω ∈ Sec(2 T∗N), ω : TN ∋ X − → −ıXω ∈ T∗N, D = graph( ω) ⊂ T N is an almost Dirac structure . ω is a closed ⇔ D is a Dirac structure. For a distribution ∆ on N, D = ∆ ⊕ ∆⊥ ⊂ T N is an almost Dirac structure . ∆ is integrable ⇔ D is a Dirac structure.

JG (IMPAN) Dirac Algebroids 26/11/2014 11 / 30

slide-64
SLIDE 64

Dirac structures

For Π ∈ Sec(2 TN), Π : T∗N ∋ α − → ıαΠ ∈ TN, D = graph( Π) ⊂ T N is an almost Dirac structure . Π is a Poisson ⇔ D is a Dirac structure. For ω ∈ Sec(2 T∗N), ω : TN ∋ X − → −ıXω ∈ T∗N, D = graph( ω) ⊂ T N is an almost Dirac structure . ω is a closed ⇔ D is a Dirac structure. For a distribution ∆ on N, D = ∆ ⊕ ∆⊥ ⊂ T N is an almost Dirac structure . ∆ is integrable ⇔ D is a Dirac structure.

JG (IMPAN) Dirac Algebroids 26/11/2014 11 / 30

slide-65
SLIDE 65

Dirac structures

For Π ∈ Sec(2 TN), Π : T∗N ∋ α − → ıαΠ ∈ TN, D = graph( Π) ⊂ T N is an almost Dirac structure . Π is a Poisson ⇔ D is a Dirac structure. For ω ∈ Sec(2 T∗N), ω : TN ∋ X − → −ıXω ∈ T∗N, D = graph( ω) ⊂ T N is an almost Dirac structure . ω is a closed ⇔ D is a Dirac structure. For a distribution ∆ on N, D = ∆ ⊕ ∆⊥ ⊂ T N is an almost Dirac structure . ∆ is integrable ⇔ D is a Dirac structure.

JG (IMPAN) Dirac Algebroids 26/11/2014 11 / 30

slide-66
SLIDE 66

Dirac algebroids

(Lie) algebroids on E are linear Poisson structures on E ∗, thus ‘linear’ Dirac structures on E ⊕ E ∗. Linearity of different geometrical structures is related to double vector bundle structures. A bivector field Π on a vector bundle F is linear if the corresponding map

  • Π : T∗F −

→ TF is a morphism of double vector bundles. A two-form ω on a vector bundle F is linear if the corresponding map

  • ω : TF −

→ T∗F is a morphism of double vector bundles, etc.

JG (IMPAN) Dirac Algebroids 26/11/2014 12 / 30

slide-67
SLIDE 67

Dirac algebroids

(Lie) algebroids on E are linear Poisson structures on E ∗, thus ‘linear’ Dirac structures on E ⊕ E ∗. Linearity of different geometrical structures is related to double vector bundle structures. A bivector field Π on a vector bundle F is linear if the corresponding map

  • Π : T∗F −

→ TF is a morphism of double vector bundles. A two-form ω on a vector bundle F is linear if the corresponding map

  • ω : TF −

→ T∗F is a morphism of double vector bundles, etc.

JG (IMPAN) Dirac Algebroids 26/11/2014 12 / 30

slide-68
SLIDE 68

Dirac algebroids

(Lie) algebroids on E are linear Poisson structures on E ∗, thus ‘linear’ Dirac structures on E ⊕ E ∗. Linearity of different geometrical structures is related to double vector bundle structures. A bivector field Π on a vector bundle F is linear if the corresponding map

  • Π : T∗F −

→ TF is a morphism of double vector bundles. A two-form ω on a vector bundle F is linear if the corresponding map

  • ω : TF −

→ T∗F is a morphism of double vector bundles, etc.

JG (IMPAN) Dirac Algebroids 26/11/2014 12 / 30

slide-69
SLIDE 69

Dirac algebroids

(Lie) algebroids on E are linear Poisson structures on E ∗, thus ‘linear’ Dirac structures on E ⊕ E ∗. Linearity of different geometrical structures is related to double vector bundle structures. A bivector field Π on a vector bundle F is linear if the corresponding map

  • Π : T∗F −

→ TF is a morphism of double vector bundles. A two-form ω on a vector bundle F is linear if the corresponding map

  • ω : TF −

→ T∗F is a morphism of double vector bundles, etc.

JG (IMPAN) Dirac Algebroids 26/11/2014 12 / 30

slide-70
SLIDE 70

Dirac algebroids

Definition

A Dirac algebroid (resp., Dirac-Lie algebroid) structure on a vector bundle E is an almost Dirac (resp., Dirac) subbundle D of T E ∗ being a double vector subbundle, i.e., D is not only a subbundle of τ1 : T E ∗ → E ∗ but also a vector subbundle of the vector bundle τ2 : T E ∗ → TM ⊕M E.

TE ∗ ⊕E ∗ T∗E ∗

τ2

◗ ◗ ◗ ◗ ◗ ◗ ◗

τ1

rrrrrrr

E ∗

π

▼ ▼ ▼ ▼ ▼ ▼ ▼ TM ⊕M E

(τM,τ)

♠♠♠♠♠♠♠♠♠♠

M D

τ D

2

▼ ▼ ▼ ▼ ▼ ▼

τ D

1

rrrrrrr

PhD

πD

▲ ▲ ▲ ▲ ▲

VelD

τ D

rrrrrr

MD PhD = τ1(D) - the phase bundle. VelD = τ2(D) - the velocity bundle (anchor relation).

JG (IMPAN) Dirac Algebroids 26/11/2014 13 / 30

slide-71
SLIDE 71

Dirac algebroids

Definition

A Dirac algebroid (resp., Dirac-Lie algebroid) structure on a vector bundle E is an almost Dirac (resp., Dirac) subbundle D of T E ∗ being a double vector subbundle, i.e., D is not only a subbundle of τ1 : T E ∗ → E ∗ but also a vector subbundle of the vector bundle τ2 : T E ∗ → TM ⊕M E.

TE ∗ ⊕E ∗ T∗E ∗

τ2

◗ ◗ ◗ ◗ ◗ ◗ ◗

τ1

rrrrrrr

E ∗

π

▼ ▼ ▼ ▼ ▼ ▼ ▼ TM ⊕M E

(τM,τ)

♠♠♠♠♠♠♠♠♠♠

M D

τ D

2

▼ ▼ ▼ ▼ ▼ ▼

τ D

1

rrrrrrr

PhD

πD

▲ ▲ ▲ ▲ ▲

VelD

τ D

rrrrrr

MD PhD = τ1(D) - the phase bundle. VelD = τ2(D) - the velocity bundle (anchor relation).

JG (IMPAN) Dirac Algebroids 26/11/2014 13 / 30

slide-72
SLIDE 72

Dirac algebroids

Definition

A Dirac algebroid (resp., Dirac-Lie algebroid) structure on a vector bundle E is an almost Dirac (resp., Dirac) subbundle D of T E ∗ being a double vector subbundle, i.e., D is not only a subbundle of τ1 : T E ∗ → E ∗ but also a vector subbundle of the vector bundle τ2 : T E ∗ → TM ⊕M E.

TE ∗ ⊕E ∗ T∗E ∗

τ2

◗ ◗ ◗ ◗ ◗ ◗ ◗

τ1

rrrrrrr

E ∗

π

▼ ▼ ▼ ▼ ▼ ▼ ▼ TM ⊕M E

(τM,τ)

♠♠♠♠♠♠♠♠♠♠

M D

τ D

2

▼ ▼ ▼ ▼ ▼ ▼

τ D

1

rrrrrrr

PhD

πD

▲ ▲ ▲ ▲ ▲

VelD

τ D

rrrrrr

MD PhD = τ1(D) - the phase bundle. VelD = τ2(D) - the velocity bundle (anchor relation).

JG (IMPAN) Dirac Algebroids 26/11/2014 13 / 30

slide-73
SLIDE 73

Dirac algebroids

Definition

A Dirac algebroid (resp., Dirac-Lie algebroid) structure on a vector bundle E is an almost Dirac (resp., Dirac) subbundle D of T E ∗ being a double vector subbundle, i.e., D is not only a subbundle of τ1 : T E ∗ → E ∗ but also a vector subbundle of the vector bundle τ2 : T E ∗ → TM ⊕M E.

TE ∗ ⊕E ∗ T∗E ∗

τ2

◗ ◗ ◗ ◗ ◗ ◗ ◗

τ1

rrrrrrr

E ∗

π

▼ ▼ ▼ ▼ ▼ ▼ ▼ TM ⊕M E

(τM,τ)

♠♠♠♠♠♠♠♠♠♠

M D

τ D

2

▼ ▼ ▼ ▼ ▼ ▼

τ D

1

rrrrrrr

PhD

πD

▲ ▲ ▲ ▲ ▲

VelD

τ D

rrrrrr

MD PhD = τ1(D) - the phase bundle. VelD = τ2(D) - the velocity bundle (anchor relation).

JG (IMPAN) Dirac Algebroids 26/11/2014 13 / 30

slide-74
SLIDE 74

Dirac algebroids

Definition

A Dirac algebroid (resp., Dirac-Lie algebroid) structure on a vector bundle E is an almost Dirac (resp., Dirac) subbundle D of T E ∗ being a double vector subbundle, i.e., D is not only a subbundle of τ1 : T E ∗ → E ∗ but also a vector subbundle of the vector bundle τ2 : T E ∗ → TM ⊕M E.

TE ∗ ⊕E ∗ T∗E ∗

τ2

◗ ◗ ◗ ◗ ◗ ◗ ◗

τ1

rrrrrrr

E ∗

π

▼ ▼ ▼ ▼ ▼ ▼ ▼ TM ⊕M E

(τM,τ)

♠♠♠♠♠♠♠♠♠♠

M D

τ D

2

▼ ▼ ▼ ▼ ▼ ▼

τ D

1

rrrrrrr

PhD

πD

▲ ▲ ▲ ▲ ▲

VelD

τ D

rrrrrr

MD PhD = τ1(D) - the phase bundle. VelD = τ2(D) - the velocity bundle (anchor relation).

JG (IMPAN) Dirac Algebroids 26/11/2014 13 / 30

slide-75
SLIDE 75

Dirac algebroids – examples

  • 1. The graph of any linear bivector field is a Dirac algebroid,

Π = 1 2ck

ij (x)ξk∂ξi ∧ ∂ξj + ρb i (x)∂ξi ∧ ∂xb,

ck

ij (x) = −ck ji (x) ,

DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • .

The phase bundle is the whole E ∗, the velocity bundle is the graph of ρ : E → TM: VelDΠ =

  • (xa, ˙

xb, yk) : ˙ xb = ρb

k(x)yk

⊂ TM ⊕M E.

  • 2. The graph of any linear two-form is a Dirac algebroid. The phase

bundle is the whole E ∗, the velocity bundle is the graph of ρ : TM → E: VelDω = {(xa, ˙ xb, yk) : yk = ρk

a(x) ˙

xa} ⊂ TM ⊕M E .

  • 3. The canonical Dirac-Lie algebroid, DM = DΠM = DωM, corresponding to

the canonical Lie algebroid E = TM, belongs to the both above types.

JG (IMPAN) Dirac Algebroids 26/11/2014 14 / 30

slide-76
SLIDE 76

Dirac algebroids – examples

  • 1. The graph of any linear bivector field is a Dirac algebroid,

Π = 1 2ck

ij (x)ξk∂ξi ∧ ∂ξj + ρb i (x)∂ξi ∧ ∂xb,

ck

ij (x) = −ck ji (x) ,

DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • .

The phase bundle is the whole E ∗, the velocity bundle is the graph of ρ : E → TM: VelDΠ =

  • (xa, ˙

xb, yk) : ˙ xb = ρb

k(x)yk

⊂ TM ⊕M E.

  • 2. The graph of any linear two-form is a Dirac algebroid. The phase

bundle is the whole E ∗, the velocity bundle is the graph of ρ : TM → E: VelDω = {(xa, ˙ xb, yk) : yk = ρk

a(x) ˙

xa} ⊂ TM ⊕M E .

  • 3. The canonical Dirac-Lie algebroid, DM = DΠM = DωM, corresponding to

the canonical Lie algebroid E = TM, belongs to the both above types.

JG (IMPAN) Dirac Algebroids 26/11/2014 14 / 30

slide-77
SLIDE 77

Dirac algebroids – examples

  • 1. The graph of any linear bivector field is a Dirac algebroid,

Π = 1 2ck

ij (x)ξk∂ξi ∧ ∂ξj + ρb i (x)∂ξi ∧ ∂xb,

ck

ij (x) = −ck ji (x) ,

DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • .

The phase bundle is the whole E ∗, the velocity bundle is the graph of ρ : E → TM: VelDΠ =

  • (xa, ˙

xb, yk) : ˙ xb = ρb

k(x)yk

⊂ TM ⊕M E.

  • 2. The graph of any linear two-form is a Dirac algebroid. The phase

bundle is the whole E ∗, the velocity bundle is the graph of ρ : TM → E: VelDω = {(xa, ˙ xb, yk) : yk = ρk

a(x) ˙

xa} ⊂ TM ⊕M E .

  • 3. The canonical Dirac-Lie algebroid, DM = DΠM = DωM, corresponding to

the canonical Lie algebroid E = TM, belongs to the both above types.

JG (IMPAN) Dirac Algebroids 26/11/2014 14 / 30

slide-78
SLIDE 78

Dirac algebroids – examples

  • 1. The graph of any linear bivector field is a Dirac algebroid,

Π = 1 2ck

ij (x)ξk∂ξi ∧ ∂ξj + ρb i (x)∂ξi ∧ ∂xb,

ck

ij (x) = −ck ji (x) ,

DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • .

The phase bundle is the whole E ∗, the velocity bundle is the graph of ρ : E → TM: VelDΠ =

  • (xa, ˙

xb, yk) : ˙ xb = ρb

k(x)yk

⊂ TM ⊕M E.

  • 2. The graph of any linear two-form is a Dirac algebroid. The phase

bundle is the whole E ∗, the velocity bundle is the graph of ρ : TM → E: VelDω = {(xa, ˙ xb, yk) : yk = ρk

a(x) ˙

xa} ⊂ TM ⊕M E .

  • 3. The canonical Dirac-Lie algebroid, DM = DΠM = DωM, corresponding to

the canonical Lie algebroid E = TM, belongs to the both above types.

JG (IMPAN) Dirac Algebroids 26/11/2014 14 / 30

slide-79
SLIDE 79

Dirac algebroids – examples

  • 1. The graph of any linear bivector field is a Dirac algebroid,

Π = 1 2ck

ij (x)ξk∂ξi ∧ ∂ξj + ρb i (x)∂ξi ∧ ∂xb,

ck

ij (x) = −ck ji (x) ,

DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • .

The phase bundle is the whole E ∗, the velocity bundle is the graph of ρ : E → TM: VelDΠ =

  • (xa, ˙

xb, yk) : ˙ xb = ρb

k(x)yk

⊂ TM ⊕M E.

  • 2. The graph of any linear two-form is a Dirac algebroid. The phase

bundle is the whole E ∗, the velocity bundle is the graph of ρ : TM → E: VelDω = {(xa, ˙ xb, yk) : yk = ρk

a(x) ˙

xa} ⊂ TM ⊕M E .

  • 3. The canonical Dirac-Lie algebroid, DM = DΠM = DωM, corresponding to

the canonical Lie algebroid E = TM, belongs to the both above types.

JG (IMPAN) Dirac Algebroids 26/11/2014 14 / 30

slide-80
SLIDE 80

Dirac algebroids – examples

  • 1. The graph of any linear bivector field is a Dirac algebroid,

Π = 1 2ck

ij (x)ξk∂ξi ∧ ∂ξj + ρb i (x)∂ξi ∧ ∂xb,

ck

ij (x) = −ck ji (x) ,

DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • .

The phase bundle is the whole E ∗, the velocity bundle is the graph of ρ : E → TM: VelDΠ =

  • (xa, ˙

xb, yk) : ˙ xb = ρb

k(x)yk

⊂ TM ⊕M E.

  • 2. The graph of any linear two-form is a Dirac algebroid. The phase

bundle is the whole E ∗, the velocity bundle is the graph of ρ : TM → E: VelDω = {(xa, ˙ xb, yk) : yk = ρk

a(x) ˙

xa} ⊂ TM ⊕M E .

  • 3. The canonical Dirac-Lie algebroid, DM = DΠM = DωM, corresponding to

the canonical Lie algebroid E = TM, belongs to the both above types.

JG (IMPAN) Dirac Algebroids 26/11/2014 14 / 30

slide-81
SLIDE 81

Dirac algebroids – examples

  • 1. The graph of any linear bivector field is a Dirac algebroid,

Π = 1 2ck

ij (x)ξk∂ξi ∧ ∂ξj + ρb i (x)∂ξi ∧ ∂xb,

ck

ij (x) = −ck ji (x) ,

DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • .

The phase bundle is the whole E ∗, the velocity bundle is the graph of ρ : E → TM: VelDΠ =

  • (xa, ˙

xb, yk) : ˙ xb = ρb

k(x)yk

⊂ TM ⊕M E.

  • 2. The graph of any linear two-form is a Dirac algebroid. The phase

bundle is the whole E ∗, the velocity bundle is the graph of ρ : TM → E: VelDω = {(xa, ˙ xb, yk) : yk = ρk

a(x) ˙

xa} ⊂ TM ⊕M E .

  • 3. The canonical Dirac-Lie algebroid, DM = DΠM = DωM, corresponding to

the canonical Lie algebroid E = TM, belongs to the both above types.

JG (IMPAN) Dirac Algebroids 26/11/2014 14 / 30

slide-82
SLIDE 82

Dirac algebroids – local structure

Assume for simplicity that D is supported on the whole E ∗.

Theorem

One can find local coordinates (x, ¯ ξ, ξ, η, η, ζ, ζ) in T E ∗ such that (x, ¯ ξ, ξ) are coordinates in E ∗ with PhD = { ξ = 0} , (x, η, η) are coordinates in TM ⊕M E with VelD = { η = 0} , (x, ζ, ζ) are dual coordinates in T∗M ⊕M E ∗ with Vel⊥

D = {ζ = 0} ,

D = {(x, ¯ ξ, 0, η, 0, ζ, ζ) : ζk = ci

jk(x)ηj ¯

ξi}, for some ‘structure coefficients’ ci

jk(x).

JG (IMPAN) Dirac Algebroids 26/11/2014 15 / 30

slide-83
SLIDE 83

Dirac algebroids – local structure

Assume for simplicity that D is supported on the whole E ∗.

Theorem

One can find local coordinates (x, ¯ ξ, ξ, η, η, ζ, ζ) in T E ∗ such that (x, ¯ ξ, ξ) are coordinates in E ∗ with PhD = { ξ = 0} , (x, η, η) are coordinates in TM ⊕M E with VelD = { η = 0} , (x, ζ, ζ) are dual coordinates in T∗M ⊕M E ∗ with Vel⊥

D = {ζ = 0} ,

D = {(x, ¯ ξ, 0, η, 0, ζ, ζ) : ζk = ci

jk(x)ηj ¯

ξi}, for some ‘structure coefficients’ ci

jk(x).

JG (IMPAN) Dirac Algebroids 26/11/2014 15 / 30

slide-84
SLIDE 84

Dirac algebroids – local structure

Assume for simplicity that D is supported on the whole E ∗.

Theorem

One can find local coordinates (x, ¯ ξ, ξ, η, η, ζ, ζ) in T E ∗ such that (x, ¯ ξ, ξ) are coordinates in E ∗ with PhD = { ξ = 0} , (x, η, η) are coordinates in TM ⊕M E with VelD = { η = 0} , (x, ζ, ζ) are dual coordinates in T∗M ⊕M E ∗ with Vel⊥

D = {ζ = 0} ,

D = {(x, ¯ ξ, 0, η, 0, ζ, ζ) : ζk = ci

jk(x)ηj ¯

ξi}, for some ‘structure coefficients’ ci

jk(x).

JG (IMPAN) Dirac Algebroids 26/11/2014 15 / 30

slide-85
SLIDE 85

Dirac algebroids – local structure

Assume for simplicity that D is supported on the whole E ∗.

Theorem

One can find local coordinates (x, ¯ ξ, ξ, η, η, ζ, ζ) in T E ∗ such that (x, ¯ ξ, ξ) are coordinates in E ∗ with PhD = { ξ = 0} , (x, η, η) are coordinates in TM ⊕M E with VelD = { η = 0} , (x, ζ, ζ) are dual coordinates in T∗M ⊕M E ∗ with Vel⊥

D = {ζ = 0} ,

D = {(x, ¯ ξ, 0, η, 0, ζ, ζ) : ζk = ci

jk(x)ηj ¯

ξi}, for some ‘structure coefficients’ ci

jk(x).

JG (IMPAN) Dirac Algebroids 26/11/2014 15 / 30

slide-86
SLIDE 86

Dirac algebroids – local structure

Assume for simplicity that D is supported on the whole E ∗.

Theorem

One can find local coordinates (x, ¯ ξ, ξ, η, η, ζ, ζ) in T E ∗ such that (x, ¯ ξ, ξ) are coordinates in E ∗ with PhD = { ξ = 0} , (x, η, η) are coordinates in TM ⊕M E with VelD = { η = 0} , (x, ζ, ζ) are dual coordinates in T∗M ⊕M E ∗ with Vel⊥

D = {ζ = 0} ,

D = {(x, ¯ ξ, 0, η, 0, ζ, ζ) : ζk = ci

jk(x)ηj ¯

ξi}, for some ‘structure coefficients’ ci

jk(x).

JG (IMPAN) Dirac Algebroids 26/11/2014 15 / 30

slide-87
SLIDE 87

How to deal with (nonholonomic) constraints?

Remember that constraints are not given as just kinematic configurations but also as constraints on virtual displacements (vakonomic, nonholonomic,...). There are two main possibilities to describe a system with constraints:

1 To keep the structure of the triple unchanged and modify the way of

generating D out of L or H.

2 Keep the scheme of generating unchanged and modify the structure

(Dirac algebroid) of the triple. The latter will be our choice. No ad hoc corrections, no Poincar´ e-Cartan forms, no brackets, no junk!

JG (IMPAN) Dirac Algebroids 26/11/2014 16 / 30

slide-88
SLIDE 88

How to deal with (nonholonomic) constraints?

Remember that constraints are not given as just kinematic configurations but also as constraints on virtual displacements (vakonomic, nonholonomic,...). There are two main possibilities to describe a system with constraints:

1 To keep the structure of the triple unchanged and modify the way of

generating D out of L or H.

2 Keep the scheme of generating unchanged and modify the structure

(Dirac algebroid) of the triple. The latter will be our choice. No ad hoc corrections, no Poincar´ e-Cartan forms, no brackets, no junk!

JG (IMPAN) Dirac Algebroids 26/11/2014 16 / 30

slide-89
SLIDE 89

How to deal with (nonholonomic) constraints?

Remember that constraints are not given as just kinematic configurations but also as constraints on virtual displacements (vakonomic, nonholonomic,...). There are two main possibilities to describe a system with constraints:

1 To keep the structure of the triple unchanged and modify the way of

generating D out of L or H.

2 Keep the scheme of generating unchanged and modify the structure

(Dirac algebroid) of the triple. The latter will be our choice. No ad hoc corrections, no Poincar´ e-Cartan forms, no brackets, no junk!

JG (IMPAN) Dirac Algebroids 26/11/2014 16 / 30

slide-90
SLIDE 90

How to deal with (nonholonomic) constraints?

Remember that constraints are not given as just kinematic configurations but also as constraints on virtual displacements (vakonomic, nonholonomic,...). There are two main possibilities to describe a system with constraints:

1 To keep the structure of the triple unchanged and modify the way of

generating D out of L or H.

2 Keep the scheme of generating unchanged and modify the structure

(Dirac algebroid) of the triple. The latter will be our choice. No ad hoc corrections, no Poincar´ e-Cartan forms, no brackets, no junk!

JG (IMPAN) Dirac Algebroids 26/11/2014 16 / 30

slide-91
SLIDE 91

How to deal with (nonholonomic) constraints?

Remember that constraints are not given as just kinematic configurations but also as constraints on virtual displacements (vakonomic, nonholonomic,...). There are two main possibilities to describe a system with constraints:

1 To keep the structure of the triple unchanged and modify the way of

generating D out of L or H.

2 Keep the scheme of generating unchanged and modify the structure

(Dirac algebroid) of the triple. The latter will be our choice. No ad hoc corrections, no Poincar´ e-Cartan forms, no brackets, no junk!

JG (IMPAN) Dirac Algebroids 26/11/2014 16 / 30

slide-92
SLIDE 92

How to deal with (nonholonomic) constraints?

Remember that constraints are not given as just kinematic configurations but also as constraints on virtual displacements (vakonomic, nonholonomic,...). There are two main possibilities to describe a system with constraints:

1 To keep the structure of the triple unchanged and modify the way of

generating D out of L or H.

2 Keep the scheme of generating unchanged and modify the structure

(Dirac algebroid) of the triple. The latter will be our choice. No ad hoc corrections, no Poincar´ e-Cartan forms, no brackets, no junk!

JG (IMPAN) Dirac Algebroids 26/11/2014 16 / 30

slide-93
SLIDE 93

How to deal with (nonholonomic) constraints?

Remember that constraints are not given as just kinematic configurations but also as constraints on virtual displacements (vakonomic, nonholonomic,...). There are two main possibilities to describe a system with constraints:

1 To keep the structure of the triple unchanged and modify the way of

generating D out of L or H.

2 Keep the scheme of generating unchanged and modify the structure

(Dirac algebroid) of the triple. The latter will be our choice. No ad hoc corrections, no Poincar´ e-Cartan forms, no brackets, no junk!

JG (IMPAN) Dirac Algebroids 26/11/2014 16 / 30

slide-94
SLIDE 94

How to deal with (nonholonomic) constraints?

Remember that constraints are not given as just kinematic configurations but also as constraints on virtual displacements (vakonomic, nonholonomic,...). There are two main possibilities to describe a system with constraints:

1 To keep the structure of the triple unchanged and modify the way of

generating D out of L or H.

2 Keep the scheme of generating unchanged and modify the structure

(Dirac algebroid) of the triple. The latter will be our choice. No ad hoc corrections, no Poincar´ e-Cartan forms, no brackets, no junk!

JG (IMPAN) Dirac Algebroids 26/11/2014 16 / 30

slide-95
SLIDE 95

Dirac algebroid induced by constraints

Initial data: Dirac algebroid D on E and a vector subbundle V of VelD. D

τ D

2

❋ ❋ ❋ ❋ ❋ ❋ ❋ ❋

τ D

1

①①①①①①①①

PhD

πD

❊ ❊ ❊ ❊ ❊ ❊ ❊

VelD

τ D

②②②②②②②②

MD DV

❆ ❆ ❆ ❆ ❆ ❆ ❆ ①①①①①①①①①

PhDV

  • V

⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤

S V ⊂ VelD ⊂ TM ⊕M E

  • V = (τ D

2 )−1(V );

V ⊥ ⊂ T∗M ⊕M E ∗; DV = V + V ⊥ is a Dirac algebroid with VelDV = V .

Definition

The Dirac algebroid DV is called induced from D by the subbundle V .

JG (IMPAN) Dirac Algebroids 26/11/2014 17 / 30

slide-96
SLIDE 96

Dirac algebroid induced by constraints

Initial data: Dirac algebroid D on E and a vector subbundle V of VelD. D

τ D

2

❋ ❋ ❋ ❋ ❋ ❋ ❋ ❋

τ D

1

①①①①①①①①

PhD

πD

❊ ❊ ❊ ❊ ❊ ❊ ❊

VelD

τ D

②②②②②②②②

MD DV

❆ ❆ ❆ ❆ ❆ ❆ ❆ ①①①①①①①①①

PhDV

  • V

⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤

S V ⊂ VelD ⊂ TM ⊕M E

  • V = (τ D

2 )−1(V );

V ⊥ ⊂ T∗M ⊕M E ∗; DV = V + V ⊥ is a Dirac algebroid with VelDV = V .

Definition

The Dirac algebroid DV is called induced from D by the subbundle V .

JG (IMPAN) Dirac Algebroids 26/11/2014 17 / 30

slide-97
SLIDE 97

Dirac algebroid induced by constraints

Initial data: Dirac algebroid D on E and a vector subbundle V of VelD. D

τ D

2

❋ ❋ ❋ ❋ ❋ ❋ ❋ ❋

τ D

1

①①①①①①①①

PhD

πD

❊ ❊ ❊ ❊ ❊ ❊ ❊

VelD

τ D

②②②②②②②②

MD DV

❆ ❆ ❆ ❆ ❆ ❆ ❆ ①①①①①①①①①

PhDV

  • V

⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤

S V ⊂ VelD ⊂ TM ⊕M E

  • V = (τ D

2 )−1(V );

V ⊥ ⊂ T∗M ⊕M E ∗; DV = V + V ⊥ is a Dirac algebroid with VelDV = V .

Definition

The Dirac algebroid DV is called induced from D by the subbundle V .

JG (IMPAN) Dirac Algebroids 26/11/2014 17 / 30

slide-98
SLIDE 98

Dirac algebroid induced by constraints

Initial data: Dirac algebroid D on E and a vector subbundle V of VelD. D

τ D

2

❋ ❋ ❋ ❋ ❋ ❋ ❋ ❋

τ D

1

①①①①①①①①

PhD

πD

❊ ❊ ❊ ❊ ❊ ❊ ❊

VelD

τ D

②②②②②②②②

MD DV

❆ ❆ ❆ ❆ ❆ ❆ ❆ ①①①①①①①①①

PhDV

  • V

⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤

S V ⊂ VelD ⊂ TM ⊕M E

  • V = (τ D

2 )−1(V );

V ⊥ ⊂ T∗M ⊕M E ∗; DV = V + V ⊥ is a Dirac algebroid with VelDV = V .

Definition

The Dirac algebroid DV is called induced from D by the subbundle V .

JG (IMPAN) Dirac Algebroids 26/11/2014 17 / 30

slide-99
SLIDE 99

Dirac algebroid induced by constraints

Initial data: Dirac algebroid D on E and a vector subbundle V of VelD. D

τ D

2

❋ ❋ ❋ ❋ ❋ ❋ ❋ ❋

τ D

1

①①①①①①①①

PhD

πD

❊ ❊ ❊ ❊ ❊ ❊ ❊

VelD

τ D

②②②②②②②②

MD DV

❆ ❆ ❆ ❆ ❆ ❆ ❆ ①①①①①①①①①

PhDV

  • V

⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤

S V ⊂ VelD ⊂ TM ⊕M E

  • V = (τ D

2 )−1(V );

V ⊥ ⊂ T∗M ⊕M E ∗; DV = V + V ⊥ is a Dirac algebroid with VelDV = V .

Definition

The Dirac algebroid DV is called induced from D by the subbundle V .

JG (IMPAN) Dirac Algebroids 26/11/2014 17 / 30

slide-100
SLIDE 100

Dirac algebroid induced by constraints

Initial data: Dirac algebroid D on E and a vector subbundle V of VelD. D

τ D

2

❋ ❋ ❋ ❋ ❋ ❋ ❋ ❋

τ D

1

①①①①①①①①

PhD

πD

❊ ❊ ❊ ❊ ❊ ❊ ❊

VelD

τ D

②②②②②②②②

MD DV

❆ ❆ ❆ ❆ ❆ ❆ ❆ ①①①①①①①①①

PhDV

  • V

⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤ ⑤

S V ⊂ VelD ⊂ TM ⊕M E

  • V = (τ D

2 )−1(V );

V ⊥ ⊂ T∗M ⊕M E ∗; DV = V + V ⊥ is a Dirac algebroid with VelDV = V .

Definition

The Dirac algebroid DV is called induced from D by the subbundle V .

JG (IMPAN) Dirac Algebroids 26/11/2014 17 / 30

slide-101
SLIDE 101

Mechanics in Dirac algebroid setting

A Dirac algebroid D ⊂

T∗E ∗ ⊕E ∗ TE ∗

can be treated as a relation ˜ ΠD : T∗E ∗− −✄TE ∗. Composing with RE : T∗E → T∗E ∗, we get another relation εD : T∗E− −✄TE ∗. The diagram is commutative in the sense of relations

T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ ΠD

✤ TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

εD

  • E

VelD

✤ TM

E

VelD

  • E ∗

PhD

✤ E ∗

E ∗

PhD

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 18 / 30

slide-102
SLIDE 102

Mechanics in Dirac algebroid setting

A Dirac algebroid D ⊂

T∗E ∗ ⊕E ∗ TE ∗

can be treated as a relation ˜ ΠD : T∗E ∗− −✄TE ∗. Composing with RE : T∗E → T∗E ∗, we get another relation εD : T∗E− −✄TE ∗. The diagram is commutative in the sense of relations

T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ ΠD

✤ TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

εD

  • E

VelD

✤ TM

E

VelD

  • E ∗

PhD

✤ E ∗

E ∗

PhD

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 18 / 30

slide-103
SLIDE 103

Mechanics in Dirac algebroid setting

A Dirac algebroid D ⊂

T∗E ∗ ⊕E ∗ TE ∗

can be treated as a relation ˜ ΠD : T∗E ∗− −✄TE ∗. Composing with RE : T∗E → T∗E ∗, we get another relation εD : T∗E− −✄TE ∗. The diagram is commutative in the sense of relations

T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ ΠD

✤ TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

εD

  • E

VelD

✤ TM

E

VelD

  • E ∗

PhD

✤ E ∗

E ∗

PhD

  • JG (IMPAN)

Dirac Algebroids 26/11/2014 18 / 30

slide-104
SLIDE 104

Mechanics in Dirac algebroid setting

H : E ∗ − → R DH = dH(E ∗) ⊂ T∗E ∗ D = εD(dL(E)) D = ˜ ΠD(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E DH

  • D
  • DL
  • T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ ΠD

✤ TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

εD

  • E

VelD

✤ TM

E

VelD

  • dL
  • λ

❧❧❧❧❧❧❧❧❧❧❧❧

E ∗

PhD

dH

  • E ∗

E ∗

PhD

  • Composition of relations! Dynamics is implicit (differential relation).

In the presence of nonholonomic constraints V ⊂ VelD we just replace D with DV .

JG (IMPAN) Dirac Algebroids 26/11/2014 19 / 30

slide-105
SLIDE 105

Mechanics in Dirac algebroid setting

H : E ∗ − → R DH = dH(E ∗) ⊂ T∗E ∗ D = εD(dL(E)) D = ˜ ΠD(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E DH

  • D
  • DL
  • T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ ΠD

✤ TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

εD

  • E

VelD

✤ TM

E

VelD

  • dL
  • λ

❧❧❧❧❧❧❧❧❧❧❧❧

E ∗

PhD

dH

  • E ∗

E ∗

PhD

  • Composition of relations! Dynamics is implicit (differential relation).

In the presence of nonholonomic constraints V ⊂ VelD we just replace D with DV .

JG (IMPAN) Dirac Algebroids 26/11/2014 19 / 30

slide-106
SLIDE 106

Mechanics in Dirac algebroid setting

H : E ∗ − → R DH = dH(E ∗) ⊂ T∗E ∗ D = εD(dL(E)) D = ˜ ΠD(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E DH

  • D
  • DL
  • T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ ΠD

✤ TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

εD

  • E

VelD

✤ TM

E

VelD

  • dL
  • λ

❧❧❧❧❧❧❧❧❧❧❧❧

E ∗

PhD

dH

  • E ∗

E ∗

PhD

  • Composition of relations! Dynamics is implicit (differential relation).

In the presence of nonholonomic constraints V ⊂ VelD we just replace D with DV .

JG (IMPAN) Dirac Algebroids 26/11/2014 19 / 30

slide-107
SLIDE 107

Mechanics in Dirac algebroid setting

H : E ∗ − → R DH = dH(E ∗) ⊂ T∗E ∗ D = εD(dL(E)) D = ˜ ΠD(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E DH

  • D
  • DL
  • T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ ΠD

✤ TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

εD

  • E

VelD

✤ TM

E

VelD

  • dL
  • λ

❧❧❧❧❧❧❧❧❧❧❧❧

E ∗

PhD

dH

  • E ∗

E ∗

PhD

  • Composition of relations! Dynamics is implicit (differential relation).

In the presence of nonholonomic constraints V ⊂ VelD we just replace D with DV .

JG (IMPAN) Dirac Algebroids 26/11/2014 19 / 30

slide-108
SLIDE 108

Mechanics in Dirac algebroid setting

H : E ∗ − → R DH = dH(E ∗) ⊂ T∗E ∗ D = εD(dL(E)) D = ˜ ΠD(dH(E ∗)) L : E − → R DL = dL(E) ⊂ T∗E DH

  • D
  • DL
  • T∗E ∗

❋ ❋ ❋ ❋ ❋ ✠✠✠✠✠✠✠✠✠✠✠

˜ ΠD

✤ TE ∗

❍ ❍ ❍ ❍ ✡✡✡✡✡✡✡✡✡✡ T∗E

❊ ❊ ❊ ❊ ❊ ✡✡✡✡✡✡✡✡✡✡

εD

  • E

VelD

✤ TM

E

VelD

  • dL
  • λ

❧❧❧❧❧❧❧❧❧❧❧❧

E ∗

PhD

dH

  • E ∗

E ∗

PhD

  • Composition of relations! Dynamics is implicit (differential relation).

In the presence of nonholonomic constraints V ⊂ VelD we just replace D with DV .

JG (IMPAN) Dirac Algebroids 26/11/2014 19 / 30

slide-109
SLIDE 109

The Euler-Lagrange equations

The (implicit) Euler-Lagrange equation EL is in our setting an (implicit) first-order differential equation (exactly like Hamilton equations) on curves in E, i.e. EL ⊂ TE They are derived from the phase dynamics D as follows: EL = ε−1

D (TD ∩ T2E ∗) .

In other words, a curve γ : R → E is a solution of EL if it is εD-related to an admissible curve in E ∗. γ is then automatically an admissible curve for the Dirac algebroid D, i.e. (˙ γ, γ) ∈ VelD, where γ is the projection of γ on M. In the canonical case D = DM, E = TM, it means that γ is the tangent lift of γ. The Euler-Lagrange equation EL can be therefore viewed as a second-order differential equation on M.

JG (IMPAN) Dirac Algebroids 26/11/2014 20 / 30

slide-110
SLIDE 110

The Euler-Lagrange equations

The (implicit) Euler-Lagrange equation EL is in our setting an (implicit) first-order differential equation (exactly like Hamilton equations) on curves in E, i.e. EL ⊂ TE They are derived from the phase dynamics D as follows: EL = ε−1

D (TD ∩ T2E ∗) .

In other words, a curve γ : R → E is a solution of EL if it is εD-related to an admissible curve in E ∗. γ is then automatically an admissible curve for the Dirac algebroid D, i.e. (˙ γ, γ) ∈ VelD, where γ is the projection of γ on M. In the canonical case D = DM, E = TM, it means that γ is the tangent lift of γ. The Euler-Lagrange equation EL can be therefore viewed as a second-order differential equation on M.

JG (IMPAN) Dirac Algebroids 26/11/2014 20 / 30

slide-111
SLIDE 111

The Euler-Lagrange equations

The (implicit) Euler-Lagrange equation EL is in our setting an (implicit) first-order differential equation (exactly like Hamilton equations) on curves in E, i.e. EL ⊂ TE They are derived from the phase dynamics D as follows: EL = ε−1

D (TD ∩ T2E ∗) .

In other words, a curve γ : R → E is a solution of EL if it is εD-related to an admissible curve in E ∗. γ is then automatically an admissible curve for the Dirac algebroid D, i.e. (˙ γ, γ) ∈ VelD, where γ is the projection of γ on M. In the canonical case D = DM, E = TM, it means that γ is the tangent lift of γ. The Euler-Lagrange equation EL can be therefore viewed as a second-order differential equation on M.

JG (IMPAN) Dirac Algebroids 26/11/2014 20 / 30

slide-112
SLIDE 112

The Euler-Lagrange equations

The (implicit) Euler-Lagrange equation EL is in our setting an (implicit) first-order differential equation (exactly like Hamilton equations) on curves in E, i.e. EL ⊂ TE They are derived from the phase dynamics D as follows: EL = ε−1

D (TD ∩ T2E ∗) .

In other words, a curve γ : R → E is a solution of EL if it is εD-related to an admissible curve in E ∗. γ is then automatically an admissible curve for the Dirac algebroid D, i.e. (˙ γ, γ) ∈ VelD, where γ is the projection of γ on M. In the canonical case D = DM, E = TM, it means that γ is the tangent lift of γ. The Euler-Lagrange equation EL can be therefore viewed as a second-order differential equation on M.

JG (IMPAN) Dirac Algebroids 26/11/2014 20 / 30

slide-113
SLIDE 113

The Euler-Lagrange equations

The (implicit) Euler-Lagrange equation EL is in our setting an (implicit) first-order differential equation (exactly like Hamilton equations) on curves in E, i.e. EL ⊂ TE They are derived from the phase dynamics D as follows: EL = ε−1

D (TD ∩ T2E ∗) .

In other words, a curve γ : R → E is a solution of EL if it is εD-related to an admissible curve in E ∗. γ is then automatically an admissible curve for the Dirac algebroid D, i.e. (˙ γ, γ) ∈ VelD, where γ is the projection of γ on M. In the canonical case D = DM, E = TM, it means that γ is the tangent lift of γ. The Euler-Lagrange equation EL can be therefore viewed as a second-order differential equation on M.

JG (IMPAN) Dirac Algebroids 26/11/2014 20 / 30

slide-114
SLIDE 114

The Euler-Lagrange equations

The (implicit) Euler-Lagrange equation EL is in our setting an (implicit) first-order differential equation (exactly like Hamilton equations) on curves in E, i.e. EL ⊂ TE They are derived from the phase dynamics D as follows: EL = ε−1

D (TD ∩ T2E ∗) .

In other words, a curve γ : R → E is a solution of EL if it is εD-related to an admissible curve in E ∗. γ is then automatically an admissible curve for the Dirac algebroid D, i.e. (˙ γ, γ) ∈ VelD, where γ is the projection of γ on M. In the canonical case D = DM, E = TM, it means that γ is the tangent lift of γ. The Euler-Lagrange equation EL can be therefore viewed as a second-order differential equation on M.

JG (IMPAN) Dirac Algebroids 26/11/2014 20 / 30

slide-115
SLIDE 115

Vakonomic constraints. Sub-Riemannian geometry

For a constraint submanifold S ⊂ E and a Lagrangian L : S → R nothing really changes in the case of vakonomic constraints: we replace DL = dL(E) with the lagrangian submanifold DL(S). Similarly for the Hamiltonian side in case of ‘phase constraints’.

Example

In the canonical case D = DM, E = TM take a vector subbundle S ⊂ TM and a Lagrangian L : S → R coming from a metric on S (kinetic energy). These data define a sub-Riemannian manifold. Solutions of the Euler-Lagrangian equations are in this case sub-Riemannian geodesics.

JG (IMPAN) Dirac Algebroids 26/11/2014 21 / 30

slide-116
SLIDE 116

Vakonomic constraints. Sub-Riemannian geometry

For a constraint submanifold S ⊂ E and a Lagrangian L : S → R nothing really changes in the case of vakonomic constraints: we replace DL = dL(E) with the lagrangian submanifold DL(S). Similarly for the Hamiltonian side in case of ‘phase constraints’.

Example

In the canonical case D = DM, E = TM take a vector subbundle S ⊂ TM and a Lagrangian L : S → R coming from a metric on S (kinetic energy). These data define a sub-Riemannian manifold. Solutions of the Euler-Lagrangian equations are in this case sub-Riemannian geodesics.

JG (IMPAN) Dirac Algebroids 26/11/2014 21 / 30

slide-117
SLIDE 117

Vakonomic constraints. Sub-Riemannian geometry

For a constraint submanifold S ⊂ E and a Lagrangian L : S → R nothing really changes in the case of vakonomic constraints: we replace DL = dL(E) with the lagrangian submanifold DL(S). Similarly for the Hamiltonian side in case of ‘phase constraints’.

Example

In the canonical case D = DM, E = TM take a vector subbundle S ⊂ TM and a Lagrangian L : S → R coming from a metric on S (kinetic energy). These data define a sub-Riemannian manifold. Solutions of the Euler-Lagrangian equations are in this case sub-Riemannian geodesics.

JG (IMPAN) Dirac Algebroids 26/11/2014 21 / 30

slide-118
SLIDE 118

Vakonomic constraints. Sub-Riemannian geometry

For a constraint submanifold S ⊂ E and a Lagrangian L : S → R nothing really changes in the case of vakonomic constraints: we replace DL = dL(E) with the lagrangian submanifold DL(S). Similarly for the Hamiltonian side in case of ‘phase constraints’.

Example

In the canonical case D = DM, E = TM take a vector subbundle S ⊂ TM and a Lagrangian L : S → R coming from a metric on S (kinetic energy). These data define a sub-Riemannian manifold. Solutions of the Euler-Lagrangian equations are in this case sub-Riemannian geodesics.

JG (IMPAN) Dirac Algebroids 26/11/2014 21 / 30

slide-119
SLIDE 119

Vakonomic constraints. Sub-Riemannian geometry

For a constraint submanifold S ⊂ E and a Lagrangian L : S → R nothing really changes in the case of vakonomic constraints: we replace DL = dL(E) with the lagrangian submanifold DL(S). Similarly for the Hamiltonian side in case of ‘phase constraints’.

Example

In the canonical case D = DM, E = TM take a vector subbundle S ⊂ TM and a Lagrangian L : S → R coming from a metric on S (kinetic energy). These data define a sub-Riemannian manifold. Solutions of the Euler-Lagrangian equations are in this case sub-Riemannian geodesics.

JG (IMPAN) Dirac Algebroids 26/11/2014 21 / 30

slide-120
SLIDE 120

Mechanics on Dirac algebroids - coordinates

Let us choose the standard adapted coordinates (x, ξ, ˙ x, y, p, ˙ ξ) in T E ∗. Starting with a Lagrangian L : E → R we can define the associated subset [[dL]] in T E ∗ as consisting of points satisfying ξ = ∂L

∂y (x, y) and

p = − ∂L

∂x (x, y).

Next, we intersect [[dL]] with D getting the (implicit) Euler-Lagrange equations defined by the following relations

  • ξ
  • x, ∂L

∂y (x, y)

  • = 0 ,
  • η(x, ˙

x, y) = 0 , ζi

  • x, −∂L

∂x (x, y), d dt ∂L ∂y (x, y)

  • + cj

ik(x)ηk(x, ˙

x, y) ∂L ∂yj (x, y) = 0 . Here, (x, ¯ ξ, ξ, η, η, ζ, ζ) are local coordinates for which D = {(x, ¯ ξ, 0, η, 0, ζ, ζ) : ζk = ci

jk(x)ηj ¯

ξi} , viewed as function of (x, ξ, ˙ x, y, p, ˙ ξ).

JG (IMPAN) Dirac Algebroids 26/11/2014 22 / 30

slide-121
SLIDE 121

Mechanics on Dirac algebroids - coordinates

Let us choose the standard adapted coordinates (x, ξ, ˙ x, y, p, ˙ ξ) in T E ∗. Starting with a Lagrangian L : E → R we can define the associated subset [[dL]] in T E ∗ as consisting of points satisfying ξ = ∂L

∂y (x, y) and

p = − ∂L

∂x (x, y).

Next, we intersect [[dL]] with D getting the (implicit) Euler-Lagrange equations defined by the following relations

  • ξ
  • x, ∂L

∂y (x, y)

  • = 0 ,
  • η(x, ˙

x, y) = 0 , ζi

  • x, −∂L

∂x (x, y), d dt ∂L ∂y (x, y)

  • + cj

ik(x)ηk(x, ˙

x, y) ∂L ∂yj (x, y) = 0 . Here, (x, ¯ ξ, ξ, η, η, ζ, ζ) are local coordinates for which D = {(x, ¯ ξ, 0, η, 0, ζ, ζ) : ζk = ci

jk(x)ηj ¯

ξi} , viewed as function of (x, ξ, ˙ x, y, p, ˙ ξ).

JG (IMPAN) Dirac Algebroids 26/11/2014 22 / 30

slide-122
SLIDE 122

Mechanics on Dirac algebroids - coordinates

Let us choose the standard adapted coordinates (x, ξ, ˙ x, y, p, ˙ ξ) in T E ∗. Starting with a Lagrangian L : E → R we can define the associated subset [[dL]] in T E ∗ as consisting of points satisfying ξ = ∂L

∂y (x, y) and

p = − ∂L

∂x (x, y).

Next, we intersect [[dL]] with D getting the (implicit) Euler-Lagrange equations defined by the following relations

  • ξ
  • x, ∂L

∂y (x, y)

  • = 0 ,
  • η(x, ˙

x, y) = 0 , ζi

  • x, −∂L

∂x (x, y), d dt ∂L ∂y (x, y)

  • + cj

ik(x)ηk(x, ˙

x, y) ∂L ∂yj (x, y) = 0 . Here, (x, ¯ ξ, ξ, η, η, ζ, ζ) are local coordinates for which D = {(x, ¯ ξ, 0, η, 0, ζ, ζ) : ζk = ci

jk(x)ηj ¯

ξi} , viewed as function of (x, ξ, ˙ x, y, p, ˙ ξ).

JG (IMPAN) Dirac Algebroids 26/11/2014 22 / 30

slide-123
SLIDE 123

Mechanics on Dirac algebroids - coordinates

Let us choose the standard adapted coordinates (x, ξ, ˙ x, y, p, ˙ ξ) in T E ∗. Starting with a Lagrangian L : E → R we can define the associated subset [[dL]] in T E ∗ as consisting of points satisfying ξ = ∂L

∂y (x, y) and

p = − ∂L

∂x (x, y).

Next, we intersect [[dL]] with D getting the (implicit) Euler-Lagrange equations defined by the following relations

  • ξ
  • x, ∂L

∂y (x, y)

  • = 0 ,
  • η(x, ˙

x, y) = 0 , ζi

  • x, −∂L

∂x (x, y), d dt ∂L ∂y (x, y)

  • + cj

ik(x)ηk(x, ˙

x, y) ∂L ∂yj (x, y) = 0 . Here, (x, ¯ ξ, ξ, η, η, ζ, ζ) are local coordinates for which D = {(x, ¯ ξ, 0, η, 0, ζ, ζ) : ζk = ci

jk(x)ηj ¯

ξi} , viewed as function of (x, ξ, ˙ x, y, p, ˙ ξ).

JG (IMPAN) Dirac Algebroids 26/11/2014 22 / 30

slide-124
SLIDE 124

Mechanics on Dirac algebroids - coordinates

The (implicit) Hamilton equations read as

  • ξ = 0 ,
  • η
  • x, ˙

x, ∂H ∂ξ (x, ξ)

  • = 0 ,

ζi

  • x, ∂H

∂x (x, ξ), ˙ ξ

  • + cj

ik(x)ηk

  • x, ˙

x, ∂H ∂ξ (x, ξ)

  • ξj = 0 .

For the canonical Dirac algebroid DM we have ξ = 0, ηa = ˙ xa − ya, ζa = ˙ ξa + pa, and ck

ij = 0, so we get the standard Euler-Lagrange

dxa dt = ya, d dt ∂L ∂ya (x, y)

  • = ∂L

∂xa (x, y) and Hamilton dξa dt = − ∂H ∂xa (x, ξ) , dxb dt = ∂H ∂ξb (x, ξ) equations after changing the symbols y, ξ for velocities and momenta into the standard ones, ˙ x, p.

JG (IMPAN) Dirac Algebroids 26/11/2014 23 / 30

slide-125
SLIDE 125

Mechanics on Dirac algebroids - coordinates

The (implicit) Hamilton equations read as

  • ξ = 0 ,
  • η
  • x, ˙

x, ∂H ∂ξ (x, ξ)

  • = 0 ,

ζi

  • x, ∂H

∂x (x, ξ), ˙ ξ

  • + cj

ik(x)ηk

  • x, ˙

x, ∂H ∂ξ (x, ξ)

  • ξj = 0 .

For the canonical Dirac algebroid DM we have ξ = 0, ηa = ˙ xa − ya, ζa = ˙ ξa + pa, and ck

ij = 0, so we get the standard Euler-Lagrange

dxa dt = ya, d dt ∂L ∂ya (x, y)

  • = ∂L

∂xa (x, y) and Hamilton dξa dt = − ∂H ∂xa (x, ξ) , dxb dt = ∂H ∂ξb (x, ξ) equations after changing the symbols y, ξ for velocities and momenta into the standard ones, ˙ x, p.

JG (IMPAN) Dirac Algebroids 26/11/2014 23 / 30

slide-126
SLIDE 126

Mechanics on Dirac algebroids - coordinates

The (implicit) Hamilton equations read as

  • ξ = 0 ,
  • η
  • x, ˙

x, ∂H ∂ξ (x, ξ)

  • = 0 ,

ζi

  • x, ∂H

∂x (x, ξ), ˙ ξ

  • + cj

ik(x)ηk

  • x, ˙

x, ∂H ∂ξ (x, ξ)

  • ξj = 0 .

For the canonical Dirac algebroid DM we have ξ = 0, ηa = ˙ xa − ya, ζa = ˙ ξa + pa, and ck

ij = 0, so we get the standard Euler-Lagrange

dxa dt = ya, d dt ∂L ∂ya (x, y)

  • = ∂L

∂xa (x, y) and Hamilton dξa dt = − ∂H ∂xa (x, ξ) , dxb dt = ∂H ∂ξb (x, ξ) equations after changing the symbols y, ξ for velocities and momenta into the standard ones, ˙ x, p.

JG (IMPAN) Dirac Algebroids 26/11/2014 23 / 30

slide-127
SLIDE 127

Mechanics on Dirac algebroids - coordinates

The (implicit) Hamilton equations read as

  • ξ = 0 ,
  • η
  • x, ˙

x, ∂H ∂ξ (x, ξ)

  • = 0 ,

ζi

  • x, ∂H

∂x (x, ξ), ˙ ξ

  • + cj

ik(x)ηk

  • x, ˙

x, ∂H ∂ξ (x, ξ)

  • ξj = 0 .

For the canonical Dirac algebroid DM we have ξ = 0, ηa = ˙ xa − ya, ζa = ˙ ξa + pa, and ck

ij = 0, so we get the standard Euler-Lagrange

dxa dt = ya, d dt ∂L ∂ya (x, y)

  • = ∂L

∂xa (x, y) and Hamilton dξa dt = − ∂H ∂xa (x, ξ) , dxb dt = ∂H ∂ξb (x, ξ) equations after changing the symbols y, ξ for velocities and momenta into the standard ones, ˙ x, p.

JG (IMPAN) Dirac Algebroids 26/11/2014 23 / 30

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SLIDE 128

Mechanics on Dirac algebroids - coordinates

The (implicit) Hamilton equations read as

  • ξ = 0 ,
  • η
  • x, ˙

x, ∂H ∂ξ (x, ξ)

  • = 0 ,

ζi

  • x, ∂H

∂x (x, ξ), ˙ ξ

  • + cj

ik(x)ηk

  • x, ˙

x, ∂H ∂ξ (x, ξ)

  • ξj = 0 .

For the canonical Dirac algebroid DM we have ξ = 0, ηa = ˙ xa − ya, ζa = ˙ ξa + pa, and ck

ij = 0, so we get the standard Euler-Lagrange

dxa dt = ya, d dt ∂L ∂ya (x, y)

  • = ∂L

∂xa (x, y) and Hamilton dξa dt = − ∂H ∂xa (x, ξ) , dxb dt = ∂H ∂ξb (x, ξ) equations after changing the symbols y, ξ for velocities and momenta into the standard ones, ˙ x, p.

JG (IMPAN) Dirac Algebroids 26/11/2014 23 / 30

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SLIDE 129

Mechanics on presymplectic manifolds

Consider the Dirac algebroid Dω associated with a linear 2-form ω on E ∗, ω = 1 2ck

ab(x)ξkdxa ∧ dxb + ρi b(x)dξi ∧ dxb,

ck

ab(x) = −ck ba(x) .

The implicit Euler-Lagrange equations take the form ρi

a(x)dxa

dt (x) = yi , ρi

a(x) d

dt ∂L ∂yi (x, y)

  • = ck

ab(x)dxb

dt (x) ∂L ∂yk (x, y) − ∂L ∂xa (x, y) . In the case of a regular presymplectic form of rank r, ω =

  • a≤r

dpa ∧ dxa , we get the equations for the presymplectic reduction by the characteristic distribution: the coordinates xa and ˙ xa with a > r are simply forgotten, d dt ∂L ∂ ˙ xa (x, ˙ x)

  • = − ∂L

∂xa (x, ˙ x) , a ≤ r .

JG (IMPAN) Dirac Algebroids 26/11/2014 24 / 30

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SLIDE 130

Mechanics on presymplectic manifolds

Consider the Dirac algebroid Dω associated with a linear 2-form ω on E ∗, ω = 1 2ck

ab(x)ξkdxa ∧ dxb + ρi b(x)dξi ∧ dxb,

ck

ab(x) = −ck ba(x) .

The implicit Euler-Lagrange equations take the form ρi

a(x)dxa

dt (x) = yi , ρi

a(x) d

dt ∂L ∂yi (x, y)

  • = ck

ab(x)dxb

dt (x) ∂L ∂yk (x, y) − ∂L ∂xa (x, y) . In the case of a regular presymplectic form of rank r, ω =

  • a≤r

dpa ∧ dxa , we get the equations for the presymplectic reduction by the characteristic distribution: the coordinates xa and ˙ xa with a > r are simply forgotten, d dt ∂L ∂ ˙ xa (x, ˙ x)

  • = − ∂L

∂xa (x, ˙ x) , a ≤ r .

JG (IMPAN) Dirac Algebroids 26/11/2014 24 / 30

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SLIDE 131

Mechanics on presymplectic manifolds

Consider the Dirac algebroid Dω associated with a linear 2-form ω on E ∗, ω = 1 2ck

ab(x)ξkdxa ∧ dxb + ρi b(x)dξi ∧ dxb,

ck

ab(x) = −ck ba(x) .

The implicit Euler-Lagrange equations take the form ρi

a(x)dxa

dt (x) = yi , ρi

a(x) d

dt ∂L ∂yi (x, y)

  • = ck

ab(x)dxb

dt (x) ∂L ∂yk (x, y) − ∂L ∂xa (x, y) . In the case of a regular presymplectic form of rank r, ω =

  • a≤r

dpa ∧ dxa , we get the equations for the presymplectic reduction by the characteristic distribution: the coordinates xa and ˙ xa with a > r are simply forgotten, d dt ∂L ∂ ˙ xa (x, ˙ x)

  • = − ∂L

∂xa (x, ˙ x) , a ≤ r .

JG (IMPAN) Dirac Algebroids 26/11/2014 24 / 30

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SLIDE 132

Mechanics on presymplectic manifolds

Consider the Dirac algebroid Dω associated with a linear 2-form ω on E ∗, ω = 1 2ck

ab(x)ξkdxa ∧ dxb + ρi b(x)dξi ∧ dxb,

ck

ab(x) = −ck ba(x) .

The implicit Euler-Lagrange equations take the form ρi

a(x)dxa

dt (x) = yi , ρi

a(x) d

dt ∂L ∂yi (x, y)

  • = ck

ab(x)dxb

dt (x) ∂L ∂yk (x, y) − ∂L ∂xa (x, y) . In the case of a regular presymplectic form of rank r, ω =

  • a≤r

dpa ∧ dxa , we get the equations for the presymplectic reduction by the characteristic distribution: the coordinates xa and ˙ xa with a > r are simply forgotten, d dt ∂L ∂ ˙ xa (x, ˙ x)

  • = − ∂L

∂xa (x, ˙ x) , a ≤ r .

JG (IMPAN) Dirac Algebroids 26/11/2014 24 / 30

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SLIDE 133

Mechanics on presymplectic manifolds

Consider the Dirac algebroid Dω associated with a linear 2-form ω on E ∗, ω = 1 2ck

ab(x)ξkdxa ∧ dxb + ρi b(x)dξi ∧ dxb,

ck

ab(x) = −ck ba(x) .

The implicit Euler-Lagrange equations take the form ρi

a(x)dxa

dt (x) = yi , ρi

a(x) d

dt ∂L ∂yi (x, y)

  • = ck

ab(x)dxb

dt (x) ∂L ∂yk (x, y) − ∂L ∂xa (x, y) . In the case of a regular presymplectic form of rank r, ω =

  • a≤r

dpa ∧ dxa , we get the equations for the presymplectic reduction by the characteristic distribution: the coordinates xa and ˙ xa with a > r are simply forgotten, d dt ∂L ∂ ˙ xa (x, ˙ x)

  • = − ∂L

∂xa (x, ˙ x) , a ≤ r .

JG (IMPAN) Dirac Algebroids 26/11/2014 24 / 30

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SLIDE 134

Vakonomic constraints: PMP

Assume a parametrization f : M × U → S ⊂ E, y = f (x, u). A Lagrangian L : S → R can be identified with L : M × U → R. The implicit Euler-Lagrange equations are ˆ ξ = 0 ,

  • η(x, ˙

x, f (x, u)) = 0 , (1) ζi

  • x, ξ ∂f

∂x − ∂L ∂x (x, y), ˙ ξ

  • + cj

ik(x)ηk(x, ˙

x, f (x, u))ξ = 0 , (2) constrained additionally by ξ ∂f ∂u − ∂L ∂u = 0 . (3) Equations (1) and (2) are the Hamilton equations with the Hamiltonian H(x, u, ξ) = ξ · f (x, u) − L(x, u) (4) depending on the parameter u. Moreover, the equation (3) reads ∂H

∂u (x, u, ξ) = 0 that is an infinitesimal

form of the Pontryagin Maximum Principle (PMP). The whole picture is an obvious generalization of (PMP), this time for Dirac algebroids (of course in its smooth and infinitesimal version).

JG (IMPAN) Dirac Algebroids 26/11/2014 25 / 30

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SLIDE 135

Vakonomic constraints: PMP

Assume a parametrization f : M × U → S ⊂ E, y = f (x, u). A Lagrangian L : S → R can be identified with L : M × U → R. The implicit Euler-Lagrange equations are ˆ ξ = 0 ,

  • η(x, ˙

x, f (x, u)) = 0 , (1) ζi

  • x, ξ ∂f

∂x − ∂L ∂x (x, y), ˙ ξ

  • + cj

ik(x)ηk(x, ˙

x, f (x, u))ξ = 0 , (2) constrained additionally by ξ ∂f ∂u − ∂L ∂u = 0 . (3) Equations (1) and (2) are the Hamilton equations with the Hamiltonian H(x, u, ξ) = ξ · f (x, u) − L(x, u) (4) depending on the parameter u. Moreover, the equation (3) reads ∂H

∂u (x, u, ξ) = 0 that is an infinitesimal

form of the Pontryagin Maximum Principle (PMP). The whole picture is an obvious generalization of (PMP), this time for Dirac algebroids (of course in its smooth and infinitesimal version).

JG (IMPAN) Dirac Algebroids 26/11/2014 25 / 30

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SLIDE 136

Vakonomic constraints: PMP

Assume a parametrization f : M × U → S ⊂ E, y = f (x, u). A Lagrangian L : S → R can be identified with L : M × U → R. The implicit Euler-Lagrange equations are ˆ ξ = 0 ,

  • η(x, ˙

x, f (x, u)) = 0 , (1) ζi

  • x, ξ ∂f

∂x − ∂L ∂x (x, y), ˙ ξ

  • + cj

ik(x)ηk(x, ˙

x, f (x, u))ξ = 0 , (2) constrained additionally by ξ ∂f ∂u − ∂L ∂u = 0 . (3) Equations (1) and (2) are the Hamilton equations with the Hamiltonian H(x, u, ξ) = ξ · f (x, u) − L(x, u) (4) depending on the parameter u. Moreover, the equation (3) reads ∂H

∂u (x, u, ξ) = 0 that is an infinitesimal

form of the Pontryagin Maximum Principle (PMP). The whole picture is an obvious generalization of (PMP), this time for Dirac algebroids (of course in its smooth and infinitesimal version).

JG (IMPAN) Dirac Algebroids 26/11/2014 25 / 30

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SLIDE 137

Vakonomic constraints: PMP

Assume a parametrization f : M × U → S ⊂ E, y = f (x, u). A Lagrangian L : S → R can be identified with L : M × U → R. The implicit Euler-Lagrange equations are ˆ ξ = 0 ,

  • η(x, ˙

x, f (x, u)) = 0 , (1) ζi

  • x, ξ ∂f

∂x − ∂L ∂x (x, y), ˙ ξ

  • + cj

ik(x)ηk(x, ˙

x, f (x, u))ξ = 0 , (2) constrained additionally by ξ ∂f ∂u − ∂L ∂u = 0 . (3) Equations (1) and (2) are the Hamilton equations with the Hamiltonian H(x, u, ξ) = ξ · f (x, u) − L(x, u) (4) depending on the parameter u. Moreover, the equation (3) reads ∂H

∂u (x, u, ξ) = 0 that is an infinitesimal

form of the Pontryagin Maximum Principle (PMP). The whole picture is an obvious generalization of (PMP), this time for Dirac algebroids (of course in its smooth and infinitesimal version).

JG (IMPAN) Dirac Algebroids 26/11/2014 25 / 30

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SLIDE 138

Nonholonomic constraints

For a linear constraint V0 ⊂ E defined by yI = 0 for the splitting yi = (yι, yI) in a skew algebroid DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • we get DV

Π (V is the graph of ρ : V0 → TM) defined by equations

˙ xb = ρb

ι (x)yι , ˙

ξκ = cj

ικ(x)yιξj − ρa κ(x)pa , yI = 0 .

The constrained E-L equations are yI = 0 , dxa dt (x) = ρa

ι (x)yι ,

d dt ∂L ∂yι (x, y)

  • − ck

νι(x)yν ∂L

∂yk (x, y) − ρa

ι (x) ∂L

∂xa (x, y) = 0 . You recognize D’Alembert’s principle, as there are no Is in the latter equation.

JG (IMPAN) Dirac Algebroids 26/11/2014 26 / 30

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SLIDE 139

Nonholonomic constraints

For a linear constraint V0 ⊂ E defined by yI = 0 for the splitting yi = (yι, yI) in a skew algebroid DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • we get DV

Π (V is the graph of ρ : V0 → TM) defined by equations

˙ xb = ρb

ι (x)yι , ˙

ξκ = cj

ικ(x)yιξj − ρa κ(x)pa , yI = 0 .

The constrained E-L equations are yI = 0 , dxa dt (x) = ρa

ι (x)yι ,

d dt ∂L ∂yι (x, y)

  • − ck

νι(x)yν ∂L

∂yk (x, y) − ρa

ι (x) ∂L

∂xa (x, y) = 0 . You recognize D’Alembert’s principle, as there are no Is in the latter equation.

JG (IMPAN) Dirac Algebroids 26/11/2014 26 / 30

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SLIDE 140

Nonholonomic constraints

For a linear constraint V0 ⊂ E defined by yI = 0 for the splitting yi = (yι, yI) in a skew algebroid DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • we get DV

Π (V is the graph of ρ : V0 → TM) defined by equations

˙ xb = ρb

ι (x)yι , ˙

ξκ = cj

ικ(x)yιξj − ρa κ(x)pa , yI = 0 .

The constrained E-L equations are yI = 0 , dxa dt (x) = ρa

ι (x)yι ,

d dt ∂L ∂yι (x, y)

  • − ck

νι(x)yν ∂L

∂yk (x, y) − ρa

ι (x) ∂L

∂xa (x, y) = 0 . You recognize D’Alembert’s principle, as there are no Is in the latter equation.

JG (IMPAN) Dirac Algebroids 26/11/2014 26 / 30

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SLIDE 141

Nonholonomic constraints

For a linear constraint V0 ⊂ E defined by yI = 0 for the splitting yi = (yι, yI) in a skew algebroid DΠ =

  • (xa, ξi, ˙

xb, ˙ ξj, pc, yk) : ˙ xb = ρb

k(x)yk , ˙

ξj = ck

ij (x)yiξk − ρa j (x)pa

  • we get DV

Π (V is the graph of ρ : V0 → TM) defined by equations

˙ xb = ρb

ι (x)yι , ˙

ξκ = cj

ικ(x)yιξj − ρa κ(x)pa , yI = 0 .

The constrained E-L equations are yI = 0 , dxa dt (x) = ρa

ι (x)yι ,

d dt ∂L ∂yι (x, y)

  • − ck

νι(x)yν ∂L

∂yk (x, y) − ρa

ι (x) ∂L

∂xa (x, y) = 0 . You recognize D’Alembert’s principle, as there are no Is in the latter equation.

JG (IMPAN) Dirac Algebroids 26/11/2014 26 / 30

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SLIDE 142

Rolling disc

b b (x, y)

ϕ ϑ

N = R2 × S1 × S1 ∋ (x, y, ϕ, θ) L : TN − → R L(v) = m

2 ( ˙

x2 + ˙ y2) + J1

2 ˙

ϕ2 + J2

2 ˙

θ2 constraints: ˙ x = R ˙ θ cos ϕ ˙ y = R ˙ θ sin ϕ ⇓ reduction System on a Lie algebroid E = TS1 × R3

τ

  • M = S1

, (ϕ, ˙ ϕ, ˙ x, ˙ y, ˙ θ)

  • (ϕ)

ρ : E ∋ (ϕ, ˙ ϕ, ˙ x, ˙ y, ˙ θ) → (ϕ, ˙ ϕ) ∈ TS1

JG (IMPAN) Dirac Algebroids 26/11/2014 27 / 30

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SLIDE 143

Rolling disc

b b (x, y)

ϕ ϑ

N = R2 × S1 × S1 ∋ (x, y, ϕ, θ) L : TN − → R L(v) = m

2 ( ˙

x2 + ˙ y2) + J1

2 ˙

ϕ2 + J2

2 ˙

θ2 constraints: ˙ x = R ˙ θ cos ϕ ˙ y = R ˙ θ sin ϕ ⇓ reduction System on a Lie algebroid E = TS1 × R3

τ

  • M = S1

, (ϕ, ˙ ϕ, ˙ x, ˙ y, ˙ θ)

  • (ϕ)

ρ : E ∋ (ϕ, ˙ ϕ, ˙ x, ˙ y, ˙ θ) → (ϕ, ˙ ϕ) ∈ TS1

JG (IMPAN) Dirac Algebroids 26/11/2014 27 / 30

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SLIDE 144

Rolling disc

b b (x, y)

ϕ ϑ

N = R2 × S1 × S1 ∋ (x, y, ϕ, θ) L : TN − → R L(v) = m

2 ( ˙

x2 + ˙ y2) + J1

2 ˙

ϕ2 + J2

2 ˙

θ2 constraints: ˙ x = R ˙ θ cos ϕ ˙ y = R ˙ θ sin ϕ ⇓ reduction System on a Lie algebroid E = TS1 × R3

τ

  • M = S1

, (ϕ, ˙ ϕ, ˙ x, ˙ y, ˙ θ)

  • (ϕ)

ρ : E ∋ (ϕ, ˙ ϕ, ˙ x, ˙ y, ˙ θ) → (ϕ, ˙ ϕ) ∈ TS1

JG (IMPAN) Dirac Algebroids 26/11/2014 27 / 30

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SLIDE 145

Rolling disc

New coordinates (ϕ, yi) in E associated to global sections e1 = ∂ϕ, e2 = ∂θ + R cos ϕ∂x + R cos ϕ∂y, e3 = ∂x, e4 = ∂y [e1, e2] = R cos ϕe4 − R sin ϕe3 This gives a Dirac algebroid D ⊂ TE ∗ ⊕E ∗ T∗E ∗. The constraint is now V0 = {(ϕ, y) : y3 = y4 = 0} ⊂ E. It induces the linear constraint V = {(ϕ, y, ˙ ϕ) : y3 = y4 = 0, y1 = ˙ ϕ}, so that DV ⊂ TE ∗ ⊕E ∗ T∗E ∗ , DV = {(ϕ, ξi, ˙ ϕ, ˙ ξj, p, yk) : ˙ ϕ = y1 , ˙ ξ1 = y2R(ξ3 sin ϕ − ξ4 cos ϕ) − p , ˙ ξ2 = −R(ξ3 sin ϕ + ξ4 cos ϕ) , ˙ ξ3, ˙ ξ4 arbitrary , y3 = y4 = 0} . The phase dynamics D ⊂ TE ∗ is D = {(ϕ, ξi, ˙ ϕ, ˙ ξj) : ξ3 = mR mR2 + J2 ξ2 cos ϕ , ˙ ϕ = 1 J1 ξ1 , ξ4 = mR mR2 + J2 ξ2 sin ϕ , ˙ ξ1 = ˙ ξ2 = 0} .

JG (IMPAN) Dirac Algebroids 26/11/2014 28 / 30

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SLIDE 146

Rolling disc

New coordinates (ϕ, yi) in E associated to global sections e1 = ∂ϕ, e2 = ∂θ + R cos ϕ∂x + R cos ϕ∂y, e3 = ∂x, e4 = ∂y [e1, e2] = R cos ϕe4 − R sin ϕe3 This gives a Dirac algebroid D ⊂ TE ∗ ⊕E ∗ T∗E ∗. The constraint is now V0 = {(ϕ, y) : y3 = y4 = 0} ⊂ E. It induces the linear constraint V = {(ϕ, y, ˙ ϕ) : y3 = y4 = 0, y1 = ˙ ϕ}, so that DV ⊂ TE ∗ ⊕E ∗ T∗E ∗ , DV = {(ϕ, ξi, ˙ ϕ, ˙ ξj, p, yk) : ˙ ϕ = y1 , ˙ ξ1 = y2R(ξ3 sin ϕ − ξ4 cos ϕ) − p , ˙ ξ2 = −R(ξ3 sin ϕ + ξ4 cos ϕ) , ˙ ξ3, ˙ ξ4 arbitrary , y3 = y4 = 0} . The phase dynamics D ⊂ TE ∗ is D = {(ϕ, ξi, ˙ ϕ, ˙ ξj) : ξ3 = mR mR2 + J2 ξ2 cos ϕ , ˙ ϕ = 1 J1 ξ1 , ξ4 = mR mR2 + J2 ξ2 sin ϕ , ˙ ξ1 = ˙ ξ2 = 0} .

JG (IMPAN) Dirac Algebroids 26/11/2014 28 / 30

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SLIDE 147

Rolling disc

New coordinates (ϕ, yi) in E associated to global sections e1 = ∂ϕ, e2 = ∂θ + R cos ϕ∂x + R cos ϕ∂y, e3 = ∂x, e4 = ∂y [e1, e2] = R cos ϕe4 − R sin ϕe3 This gives a Dirac algebroid D ⊂ TE ∗ ⊕E ∗ T∗E ∗. The constraint is now V0 = {(ϕ, y) : y3 = y4 = 0} ⊂ E. It induces the linear constraint V = {(ϕ, y, ˙ ϕ) : y3 = y4 = 0, y1 = ˙ ϕ}, so that DV ⊂ TE ∗ ⊕E ∗ T∗E ∗ , DV = {(ϕ, ξi, ˙ ϕ, ˙ ξj, p, yk) : ˙ ϕ = y1 , ˙ ξ1 = y2R(ξ3 sin ϕ − ξ4 cos ϕ) − p , ˙ ξ2 = −R(ξ3 sin ϕ + ξ4 cos ϕ) , ˙ ξ3, ˙ ξ4 arbitrary , y3 = y4 = 0} . The phase dynamics D ⊂ TE ∗ is D = {(ϕ, ξi, ˙ ϕ, ˙ ξj) : ξ3 = mR mR2 + J2 ξ2 cos ϕ , ˙ ϕ = 1 J1 ξ1 , ξ4 = mR mR2 + J2 ξ2 sin ϕ , ˙ ξ1 = ˙ ξ2 = 0} .

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SLIDE 148

Rolling disc

New coordinates (ϕ, yi) in E associated to global sections e1 = ∂ϕ, e2 = ∂θ + R cos ϕ∂x + R cos ϕ∂y, e3 = ∂x, e4 = ∂y [e1, e2] = R cos ϕe4 − R sin ϕe3 This gives a Dirac algebroid D ⊂ TE ∗ ⊕E ∗ T∗E ∗. The constraint is now V0 = {(ϕ, y) : y3 = y4 = 0} ⊂ E. It induces the linear constraint V = {(ϕ, y, ˙ ϕ) : y3 = y4 = 0, y1 = ˙ ϕ}, so that DV ⊂ TE ∗ ⊕E ∗ T∗E ∗ , DV = {(ϕ, ξi, ˙ ϕ, ˙ ξj, p, yk) : ˙ ϕ = y1 , ˙ ξ1 = y2R(ξ3 sin ϕ − ξ4 cos ϕ) − p , ˙ ξ2 = −R(ξ3 sin ϕ + ξ4 cos ϕ) , ˙ ξ3, ˙ ξ4 arbitrary , y3 = y4 = 0} . The phase dynamics D ⊂ TE ∗ is D = {(ϕ, ξi, ˙ ϕ, ˙ ξj) : ξ3 = mR mR2 + J2 ξ2 cos ϕ , ˙ ϕ = 1 J1 ξ1 , ξ4 = mR mR2 + J2 ξ2 sin ϕ , ˙ ξ1 = ˙ ξ2 = 0} .

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SLIDE 149

Rolling disc

New coordinates (ϕ, yi) in E associated to global sections e1 = ∂ϕ, e2 = ∂θ + R cos ϕ∂x + R cos ϕ∂y, e3 = ∂x, e4 = ∂y [e1, e2] = R cos ϕe4 − R sin ϕe3 This gives a Dirac algebroid D ⊂ TE ∗ ⊕E ∗ T∗E ∗. The constraint is now V0 = {(ϕ, y) : y3 = y4 = 0} ⊂ E. It induces the linear constraint V = {(ϕ, y, ˙ ϕ) : y3 = y4 = 0, y1 = ˙ ϕ}, so that DV ⊂ TE ∗ ⊕E ∗ T∗E ∗ , DV = {(ϕ, ξi, ˙ ϕ, ˙ ξj, p, yk) : ˙ ϕ = y1 , ˙ ξ1 = y2R(ξ3 sin ϕ − ξ4 cos ϕ) − p , ˙ ξ2 = −R(ξ3 sin ϕ + ξ4 cos ϕ) , ˙ ξ3, ˙ ξ4 arbitrary , y3 = y4 = 0} . The phase dynamics D ⊂ TE ∗ is D = {(ϕ, ξi, ˙ ϕ, ˙ ξj) : ξ3 = mR mR2 + J2 ξ2 cos ϕ , ˙ ϕ = 1 J1 ξ1 , ξ4 = mR mR2 + J2 ξ2 sin ϕ , ˙ ξ1 = ˙ ξ2 = 0} .

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slide-150
SLIDE 150

Rolling disc

Here, ˙ ξ3, ˙ ξ4 are formally arbitrary, but they are determined by the integrability condition. The phase space of the system PhL

D ⊂ E ∗ is

described by ξ3 = µ cos ϕ · ξ2, ξ4 = µ sin ϕ · ξ2, where µ =

mR mR2+J2 . The constrained Euler-Lagrange equations are

y3 = y4 = 0 , dϕ dt = y1 , (mR2 + J2)dy2 dt = 0 , J1 dy1 dt = 0 . that can be rewritten as ˙ x1 = R ˙ θ cos ϕ , ˙ x2 = R ˙ θ sin ϕ , ¨ ϕ = 0 , ¨ θ = 0 . The phase dynamics D ⊂ TE ∗ is Hamiltonian ! H(ϕ, ξ) = 1 2J1 (ξ1)2 + 1 2J2 (ξ2 −Rξ3 cos ϕ−Rξ4 sin ϕ)2 + 1 2m((ξ3)2 +(ξ4)2)

JG (IMPAN) Dirac Algebroids 26/11/2014 29 / 30

slide-151
SLIDE 151

Rolling disc

Here, ˙ ξ3, ˙ ξ4 are formally arbitrary, but they are determined by the integrability condition. The phase space of the system PhL

D ⊂ E ∗ is

described by ξ3 = µ cos ϕ · ξ2, ξ4 = µ sin ϕ · ξ2, where µ =

mR mR2+J2 . The constrained Euler-Lagrange equations are

y3 = y4 = 0 , dϕ dt = y1 , (mR2 + J2)dy2 dt = 0 , J1 dy1 dt = 0 . that can be rewritten as ˙ x1 = R ˙ θ cos ϕ , ˙ x2 = R ˙ θ sin ϕ , ¨ ϕ = 0 , ¨ θ = 0 . The phase dynamics D ⊂ TE ∗ is Hamiltonian ! H(ϕ, ξ) = 1 2J1 (ξ1)2 + 1 2J2 (ξ2 −Rξ3 cos ϕ−Rξ4 sin ϕ)2 + 1 2m((ξ3)2 +(ξ4)2)

JG (IMPAN) Dirac Algebroids 26/11/2014 29 / 30

slide-152
SLIDE 152

Rolling disc

Here, ˙ ξ3, ˙ ξ4 are formally arbitrary, but they are determined by the integrability condition. The phase space of the system PhL

D ⊂ E ∗ is

described by ξ3 = µ cos ϕ · ξ2, ξ4 = µ sin ϕ · ξ2, where µ =

mR mR2+J2 . The constrained Euler-Lagrange equations are

y3 = y4 = 0 , dϕ dt = y1 , (mR2 + J2)dy2 dt = 0 , J1 dy1 dt = 0 . that can be rewritten as ˙ x1 = R ˙ θ cos ϕ , ˙ x2 = R ˙ θ sin ϕ , ¨ ϕ = 0 , ¨ θ = 0 . The phase dynamics D ⊂ TE ∗ is Hamiltonian ! H(ϕ, ξ) = 1 2J1 (ξ1)2 + 1 2J2 (ξ2 −Rξ3 cos ϕ−Rξ4 sin ϕ)2 + 1 2m((ξ3)2 +(ξ4)2)

JG (IMPAN) Dirac Algebroids 26/11/2014 29 / 30

slide-153
SLIDE 153

Rolling disc

Here, ˙ ξ3, ˙ ξ4 are formally arbitrary, but they are determined by the integrability condition. The phase space of the system PhL

D ⊂ E ∗ is

described by ξ3 = µ cos ϕ · ξ2, ξ4 = µ sin ϕ · ξ2, where µ =

mR mR2+J2 . The constrained Euler-Lagrange equations are

y3 = y4 = 0 , dϕ dt = y1 , (mR2 + J2)dy2 dt = 0 , J1 dy1 dt = 0 . that can be rewritten as ˙ x1 = R ˙ θ cos ϕ , ˙ x2 = R ˙ θ sin ϕ , ¨ ϕ = 0 , ¨ θ = 0 . The phase dynamics D ⊂ TE ∗ is Hamiltonian ! H(ϕ, ξ) = 1 2J1 (ξ1)2 + 1 2J2 (ξ2 −Rξ3 cos ϕ−Rξ4 sin ϕ)2 + 1 2m((ξ3)2 +(ξ4)2)

JG (IMPAN) Dirac Algebroids 26/11/2014 29 / 30

slide-154
SLIDE 154

Rolling disc

Here, ˙ ξ3, ˙ ξ4 are formally arbitrary, but they are determined by the integrability condition. The phase space of the system PhL

D ⊂ E ∗ is

described by ξ3 = µ cos ϕ · ξ2, ξ4 = µ sin ϕ · ξ2, where µ =

mR mR2+J2 . The constrained Euler-Lagrange equations are

y3 = y4 = 0 , dϕ dt = y1 , (mR2 + J2)dy2 dt = 0 , J1 dy1 dt = 0 . that can be rewritten as ˙ x1 = R ˙ θ cos ϕ , ˙ x2 = R ˙ θ sin ϕ , ¨ ϕ = 0 , ¨ θ = 0 . The phase dynamics D ⊂ TE ∗ is Hamiltonian ! H(ϕ, ξ) = 1 2J1 (ξ1)2 + 1 2J2 (ξ2 −Rξ3 cos ϕ−Rξ4 sin ϕ)2 + 1 2m((ξ3)2 +(ξ4)2)

JG (IMPAN) Dirac Algebroids 26/11/2014 29 / 30

slide-155
SLIDE 155

Rolling disc

Here, ˙ ξ3, ˙ ξ4 are formally arbitrary, but they are determined by the integrability condition. The phase space of the system PhL

D ⊂ E ∗ is

described by ξ3 = µ cos ϕ · ξ2, ξ4 = µ sin ϕ · ξ2, where µ =

mR mR2+J2 . The constrained Euler-Lagrange equations are

y3 = y4 = 0 , dϕ dt = y1 , (mR2 + J2)dy2 dt = 0 , J1 dy1 dt = 0 . that can be rewritten as ˙ x1 = R ˙ θ cos ϕ , ˙ x2 = R ˙ θ sin ϕ , ¨ ϕ = 0 , ¨ θ = 0 . The phase dynamics D ⊂ TE ∗ is Hamiltonian ! H(ϕ, ξ) = 1 2J1 (ξ1)2 + 1 2J2 (ξ2 −Rξ3 cos ϕ−Rξ4 sin ϕ)2 + 1 2m((ξ3)2 +(ξ4)2)

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SLIDE 156

Conclusions

Linear (Poisson) bivector fields (thus (Lie) algebroids), linear (closed) two-forms, and linear Dirac constraints are all special examples of Dirac

  • algebroid. The category of Dirac algebroids is closed with respect to

reductions and constraints. The developed Lagrangian and Hamiltonian formalisms on Dirac algebroids are extremally general and describe all main types of mechanical systems, including singular Lagrangians, constraints, and reductions. One can also develop a rigorous optimal control theory in this setting:

  • J. Grabowski and M. J´
  • ´

zwikowski: ”Pontryagin Maximum Principle

  • n almost Lie algebroids”, SIAM J. Control Optim. 49 (2011),

1306-1357. THANK YOU FOR YOUR ATTENTION!

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slide-157
SLIDE 157

Conclusions

Linear (Poisson) bivector fields (thus (Lie) algebroids), linear (closed) two-forms, and linear Dirac constraints are all special examples of Dirac

  • algebroid. The category of Dirac algebroids is closed with respect to

reductions and constraints. The developed Lagrangian and Hamiltonian formalisms on Dirac algebroids are extremally general and describe all main types of mechanical systems, including singular Lagrangians, constraints, and reductions. One can also develop a rigorous optimal control theory in this setting:

  • J. Grabowski and M. J´
  • ´

zwikowski: ”Pontryagin Maximum Principle

  • n almost Lie algebroids”, SIAM J. Control Optim. 49 (2011),

1306-1357. THANK YOU FOR YOUR ATTENTION!

JG (IMPAN) Dirac Algebroids 26/11/2014 30 / 30

slide-158
SLIDE 158

Conclusions

Linear (Poisson) bivector fields (thus (Lie) algebroids), linear (closed) two-forms, and linear Dirac constraints are all special examples of Dirac

  • algebroid. The category of Dirac algebroids is closed with respect to

reductions and constraints. The developed Lagrangian and Hamiltonian formalisms on Dirac algebroids are extremally general and describe all main types of mechanical systems, including singular Lagrangians, constraints, and reductions. One can also develop a rigorous optimal control theory in this setting:

  • J. Grabowski and M. J´
  • ´

zwikowski: ”Pontryagin Maximum Principle

  • n almost Lie algebroids”, SIAM J. Control Optim. 49 (2011),

1306-1357. THANK YOU FOR YOUR ATTENTION!

JG (IMPAN) Dirac Algebroids 26/11/2014 30 / 30

slide-159
SLIDE 159

Conclusions

Linear (Poisson) bivector fields (thus (Lie) algebroids), linear (closed) two-forms, and linear Dirac constraints are all special examples of Dirac

  • algebroid. The category of Dirac algebroids is closed with respect to

reductions and constraints. The developed Lagrangian and Hamiltonian formalisms on Dirac algebroids are extremally general and describe all main types of mechanical systems, including singular Lagrangians, constraints, and reductions. One can also develop a rigorous optimal control theory in this setting:

  • J. Grabowski and M. J´
  • ´

zwikowski: ”Pontryagin Maximum Principle

  • n almost Lie algebroids”, SIAM J. Control Optim. 49 (2011),

1306-1357. THANK YOU FOR YOUR ATTENTION!

JG (IMPAN) Dirac Algebroids 26/11/2014 30 / 30

slide-160
SLIDE 160

Conclusions

Linear (Poisson) bivector fields (thus (Lie) algebroids), linear (closed) two-forms, and linear Dirac constraints are all special examples of Dirac

  • algebroid. The category of Dirac algebroids is closed with respect to

reductions and constraints. The developed Lagrangian and Hamiltonian formalisms on Dirac algebroids are extremally general and describe all main types of mechanical systems, including singular Lagrangians, constraints, and reductions. One can also develop a rigorous optimal control theory in this setting:

  • J. Grabowski and M. J´
  • ´

zwikowski: ”Pontryagin Maximum Principle

  • n almost Lie algebroids”, SIAM J. Control Optim. 49 (2011),

1306-1357. THANK YOU FOR YOUR ATTENTION!

JG (IMPAN) Dirac Algebroids 26/11/2014 30 / 30

slide-161
SLIDE 161

Conclusions

Linear (Poisson) bivector fields (thus (Lie) algebroids), linear (closed) two-forms, and linear Dirac constraints are all special examples of Dirac

  • algebroid. The category of Dirac algebroids is closed with respect to

reductions and constraints. The developed Lagrangian and Hamiltonian formalisms on Dirac algebroids are extremally general and describe all main types of mechanical systems, including singular Lagrangians, constraints, and reductions. One can also develop a rigorous optimal control theory in this setting:

  • J. Grabowski and M. J´
  • ´

zwikowski: ”Pontryagin Maximum Principle

  • n almost Lie algebroids”, SIAM J. Control Optim. 49 (2011),

1306-1357. THANK YOU FOR YOUR ATTENTION!

JG (IMPAN) Dirac Algebroids 26/11/2014 30 / 30