The Poincar - Birkhoff theorem in the framework of Hamiltonian - - PowerPoint PPT Presentation

the poincar birkhoff theorem in the framework of
SMART_READER_LITE
LIVE PREVIEW

The Poincar - Birkhoff theorem in the framework of Hamiltonian - - PowerPoint PPT Presentation

The Poincar - Birkhoff theorem in the framework of Hamiltonian systems Alessandro Fonda (Universit degli Studi di Trieste) The Poincar - Birkhoff theorem in the framework of Hamiltonian systems Alessandro Fonda (Universit degli Studi


slide-1
SLIDE 1

The Poincaré - Birkhoff theorem in the framework of Hamiltonian systems

Alessandro Fonda

(Università degli Studi di Trieste)

slide-2
SLIDE 2

The Poincaré - Birkhoff theorem in the framework of Hamiltonian systems

Alessandro Fonda

(Università degli Studi di Trieste)

a collaboration with Antonio J. Ureña

slide-3
SLIDE 3

Jules Henri Poincaré (1854 – 1912)

slide-4
SLIDE 4
slide-5
SLIDE 5
slide-6
SLIDE 6

Poincaré’s “Théorème de géométrie”

slide-7
SLIDE 7

Poincaré’s “Théorème de géométrie”

A is a closed planar annulus

slide-8
SLIDE 8

Poincaré’s “Théorème de géométrie”

A is a closed planar annulus P : A → A is an area preserving homeomorphism

slide-9
SLIDE 9

Poincaré’s “Théorème de géométrie”

A is a closed planar annulus P : A → A is an area preserving homeomorphism and

slide-10
SLIDE 10

Poincaré’s “Théorème de géométrie”

A is a closed planar annulus P : A → A is an area preserving homeomorphism and (⋆) it rotates the two boundary circles in opposite directions

slide-11
SLIDE 11

Poincaré’s “Théorème de géométrie”

A is a closed planar annulus P : A → A is an area preserving homeomorphism and (⋆) it rotates the two boundary circles in opposite directions (this is called the “twist condition”).

slide-12
SLIDE 12

Poincaré’s “Théorème de géométrie”

A is a closed planar annulus P : A → A is an area preserving homeomorphism and (⋆) it rotates the two boundary circles in opposite directions (this is called the “twist condition”).

slide-13
SLIDE 13

Poincaré’s “Théorème de géométrie”

A is a closed planar annulus P : A → A is an area preserving homeomorphism and (⋆) it rotates the two boundary circles in opposite directions (this is called the “twist condition”). Then, P has two fixed points.

slide-14
SLIDE 14

An equivalent formulation

slide-15
SLIDE 15

An equivalent formulation

S = R × [a, b] is a planar strip

slide-16
SLIDE 16

An equivalent formulation

S = R × [a, b] is a planar strip P : S → S is an area preserving homeomorphism

slide-17
SLIDE 17

An equivalent formulation

S = R × [a, b] is a planar strip P : S → S is an area preserving homeomorphism, and writing P(x, y) = (x + f(x, y), y + g(x, y)) ,

slide-18
SLIDE 18

An equivalent formulation

S = R × [a, b] is a planar strip P : S → S is an area preserving homeomorphism, and writing P(x, y) = (x + f(x, y), y + g(x, y)) , both f(x, y) and g(x, y) are continuous, 2π-periodic in x ,

slide-19
SLIDE 19

An equivalent formulation

S = R × [a, b] is a planar strip P : S → S is an area preserving homeomorphism, and writing P(x, y) = (x + f(x, y), y + g(x, y)) , both f(x, y) and g(x, y) are continuous, 2π-periodic in x , g(x, a) = 0 = g(x, b) (boundary invariance) ,

slide-20
SLIDE 20

An equivalent formulation

S = R × [a, b] is a planar strip P : S → S is an area preserving homeomorphism, and writing P(x, y) = (x + f(x, y), y + g(x, y)) , both f(x, y) and g(x, y) are continuous, 2π-periodic in x , g(x, a) = 0 = g(x, b) (boundary invariance) , and (⋆) f(x, a) < 0 < f(x, b) (twist condition) .

slide-21
SLIDE 21

An equivalent formulation

S = R × [a, b] is a planar strip P : S → S is an area preserving homeomorphism, and writing P(x, y) = (x + f(x, y), y + g(x, y)) , both f(x, y) and g(x, y) are continuous, 2π-periodic in x , g(x, a) = 0 = g(x, b) (boundary invariance) , and (⋆) f(x, a) < 0 < f(x, b) (twist condition) .

slide-22
SLIDE 22

An equivalent formulation

S = R × [a, b] is a planar strip P : S → S is an area preserving homeomorphism, and writing P(x, y) = (x + f(x, y), y + g(x, y)) , both f(x, y) and g(x, y) are continuous, 2π-periodic in x , g(x, a) = 0 = g(x, b) (boundary invariance) , and (⋆) f(x, a) < 0 < f(x, b) (twist condition) . Then, P has two geometrically distinct fixed points.

slide-23
SLIDE 23

George David Birkhoff (1884 – 1944)

slide-24
SLIDE 24

The Poincaré – Birkhoff theorem

In 1913 – 1925, Birkhoff proved Poincaré’s “théorème de géométrie”, so that it now carries the name “Poincaré – Birkhoff Theorem”.

slide-25
SLIDE 25

The Poincaré – Birkhoff theorem

In 1913 – 1925, Birkhoff proved Poincaré’s “théorème de géométrie”, so that it now carries the name “Poincaré – Birkhoff Theorem”. Variants and different proofs have been proposed by: Brown–Neumann, Carter, W.-Y. Ding, Franks, Guillou, Jacobowitz, de Kérékjartó, Le Calvez, Moser, Rebelo, Slaminka, ...

slide-26
SLIDE 26

The Poincaré – Birkhoff theorem

In 1913 – 1925, Birkhoff proved Poincaré’s “théorème de géométrie”, so that it now carries the name “Poincaré – Birkhoff Theorem”. Variants and different proofs have been proposed by: Brown–Neumann, Carter, W.-Y. Ding, Franks, Guillou, Jacobowitz, de Kérékjartó, Le Calvez, Moser, Rebelo, Slaminka, ... Applications to the existence of periodic solutions were provided by: Bonheure, Boscaggin, Butler, Corsato, Del Pino, T. Ding, Fabry, Garrione, Hartman, Manásevich, Mawhin, Omari, Ortega, Sabatini, Sfecci, Smets, Torres, Zanini, Zanolin, ...

slide-27
SLIDE 27

Periodic solutions as fixed points of the Poincaré map

slide-28
SLIDE 28

Periodic solutions as fixed points of the Poincaré map

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t .

slide-29
SLIDE 29

Periodic solutions as fixed points of the Poincaré map

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . The Poincaré time – map is defined as P : (x0, y0) → (xT, yT)

slide-30
SLIDE 30

Periodic solutions as fixed points of the Poincaré map

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . The Poincaré time – map is defined as P : (x0, y0) → (xT, yT) i.e.

slide-31
SLIDE 31

Periodic solutions as fixed points of the Poincaré map

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . The Poincaré time – map is defined as P : (x0, y0) → (xT, yT) i.e. to each “starting point” (x0, y0) of a solution at time t = 0,

slide-32
SLIDE 32

Periodic solutions as fixed points of the Poincaré map

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . The Poincaré time – map is defined as P : (x0, y0) → (xT, yT) i.e. to each “starting point” (x0, y0) of a solution at time t = 0, P associates

slide-33
SLIDE 33

Periodic solutions as fixed points of the Poincaré map

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . The Poincaré time – map is defined as P : (x0, y0) → (xT, yT) i.e. to each “starting point” (x0, y0) of a solution at time t = 0, P associates the “arrival point” (xT, yT) of the solution at time t = T .

slide-34
SLIDE 34

Good and bad news

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t .

slide-35
SLIDE 35

Good and bad news

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Good news: The Poincaré map P is an area preserving homeomorphism. Its fixed points correspond to T -periodic solutions.

slide-36
SLIDE 36

Good and bad news

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Good news: The Poincaré map P is an area preserving homeomorphism. Its fixed points correspond to T -periodic solutions. Bad news: It is very difficult to find an invariant annulus for P .

slide-37
SLIDE 37

Generalizing the Poincaré – Birkhoff theorem (in the framework of Hamiltonian systems)

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t .

slide-38
SLIDE 38

Generalizing the Poincaré – Birkhoff theorem (in the framework of Hamiltonian systems)

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Assume H(t, x, y) to be also 2π-periodic in x .

slide-39
SLIDE 39

Generalizing the Poincaré – Birkhoff theorem (in the framework of Hamiltonian systems)

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Assume H(t, x, y) to be also 2π-periodic in x . Let S = R × [a, b] be a planar strip.

slide-40
SLIDE 40

Generalizing the Poincaré – Birkhoff theorem (in the framework of Hamiltonian systems)

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Assume H(t, x, y) to be also 2π-periodic in x . Let S = R × [a, b] be a planar strip. Twist condition: the solutions (x(t), y(t)) with “starting point” (x(0), y(0)) on ∂S are defined on [0, T] and satisfy (⋆) x(T) − x(0)

  • < 0 ,

if y(0) = a , > 0 , if y(0) = b .

slide-41
SLIDE 41

Generalizing the Poincaré – Birkhoff theorem (in the framework of Hamiltonian systems)

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Assume H(t, x, y) to be also 2π-periodic in x . Let S = R × [a, b] be a planar strip. Twist condition: the solutions (x(t), y(t)) with “starting point” (x(0), y(0)) on ∂S are defined on [0, T] and satisfy (⋆) x(T) − x(0)

  • < 0 ,

if y(0) = a , > 0 , if y(0) = b . Then, there are two geometrically distinct T -periodic solutions.

slide-42
SLIDE 42

The twist condition

slide-43
SLIDE 43

The twist condition

Writing S = R × D, with D = ]a, b[ ,

slide-44
SLIDE 44

The twist condition

Writing S = R × D, with D = ]a, b[ , and defining the “outer normal function” ν : ∂D → R as ν(a) = −1 , ν(b) = +1 ,

slide-45
SLIDE 45

The twist condition

Writing S = R × D, with D = ]a, b[ , and defining the “outer normal function” ν : ∂D → R as ν(a) = −1 , ν(b) = +1 , the twist condition (⋆) (x(0), y(0)) ∈ ∂S ⇒ x(T) − x(0)

  • < 0 ,

if y(0) = a , > 0 , if y(0) = b ,

slide-46
SLIDE 46

The twist condition

Writing S = R × D, with D = ]a, b[ , and defining the “outer normal function” ν : ∂D → R as ν(a) = −1 , ν(b) = +1 , the twist condition (⋆) (x(0), y(0)) ∈ ∂S ⇒ x(T) − x(0)

  • < 0 ,

if y(0) = a , > 0 , if y(0) = b , can be written as (⋆) (x(0), y(0)) ∈ ∂S ⇒ [x(T) − x(0)] · ν(y(0)) > 0 .

slide-47
SLIDE 47

A higher dimensional version of the theorem

slide-48
SLIDE 48

A higher dimensional version of the theorem

We now discuss about the outstanding question as to the possibility of an N -dimensional extension of Poincaré’s last geometric theorem [Birkhoff, Acta Mathematica 1925]

slide-49
SLIDE 49

A higher dimensional version of the theorem

We now discuss about the outstanding question as to the possibility of an N -dimensional extension of Poincaré’s last geometric theorem [Birkhoff, Acta Mathematica 1925] Attempts in some directions have been made by: Amann, Bertotti, Birkhoff, K.C. Chang, Conley, Felmer, Fournier, Golé, Hingston, Josellis, J.Q. Liu, Lupo, Mawhin, Moser, Rabinowitz, Ramos, Szulkin, Weinstein, Willem, Winkelnkemper, Zehnder, ...

slide-50
SLIDE 50

A higher dimensional version of the theorem

We now discuss about the outstanding question as to the possibility of an N -dimensional extension of Poincaré’s last geometric theorem [Birkhoff, Acta Mathematica 1925] Attempts in some directions have been made by: Amann, Bertotti, Birkhoff, K.C. Chang, Conley, Felmer, Fournier, Golé, Hingston, Josellis, J.Q. Liu, Lupo, Mawhin, Moser, Rabinowitz, Ramos, Szulkin, Weinstein, Willem, Winkelnkemper, Zehnder, ... However, a genuine generalization of the Poincaré – Birkhoff theorem to higher dimensions has never been given. [Moser and Zehnder, Notes on Dynamical Systems, 2005].

slide-51
SLIDE 51

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t .

slide-52
SLIDE 52

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Here, x = (x1, . . . , xN) and y = (y1, . . . , yN).

slide-53
SLIDE 53

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Here, x = (x1, . . . , xN) and y = (y1, . . . , yN). Assume H(t, x, y) to be also 2π-periodic in each x1, . . . , xN .

slide-54
SLIDE 54

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Here, x = (x1, . . . , xN) and y = (y1, . . . , yN). Assume H(t, x, y) to be also 2π-periodic in each x1, . . . , xN . Let D be an open, bounded, convex set in RN , with a smooth boundary, and denote by ν : ∂D → RN the outward normal vectorfield.

slide-55
SLIDE 55

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Here, x = (x1, . . . , xN) and y = (y1, . . . , yN). Assume H(t, x, y) to be also 2π-periodic in each x1, . . . , xN . Let D be an open, bounded, convex set in RN , with a smooth boundary, and denote by ν : ∂D → RN the outward normal vectorfield.

slide-56
SLIDE 56

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Here, x = (x1, . . . , xN) and y = (y1, . . . , yN). Assume H(t, x, y) to be also 2π-periodic in each x1, . . . , xN . Let D be an open, bounded, convex set in RN , with a smooth boundary, and denote by ν : ∂D → RN the outward normal vectorfield.

slide-57
SLIDE 57

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Here, x = (x1, . . . , xN) and y = (y1, . . . , yN). Assume H(t, x, y) to be also 2π-periodic in each x1, . . . , xN . Let D be an open, bounded, convex set in RN , with a smooth boundary, and denote by ν : ∂D → RN the outward normal

  • vectorfield. Consider the “strip” S = RN × D.
slide-58
SLIDE 58

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Here, x = (x1, . . . , xN) and y = (y1, . . . , yN). Assume H(t, x, y) to be also 2π-periodic in each x1, . . . , xN . Let D be an open, bounded, convex set in RN , with a smooth boundary, and denote by ν : ∂D → RN the outward normal

  • vectorfield. Consider the “strip” S = RN × D.

Twist condition: for a solution (x(t), y(t)), (⋆) (x(0), y(0)) ∈ ∂S ⇒ [x(T) − x(0)]·ν(y(0)) > 0 . (this is the old condition)

slide-59
SLIDE 59

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Here, x = (x1, . . . , xN) and y = (y1, . . . , yN). Assume H(t, x, y) to be also 2π-periodic in each x1, . . . , xN . Let D be an open, bounded, convex set in RN , with a smooth boundary, and denote by ν : ∂D → RN the outward normal

  • vectorfield. Consider the “strip” S = RN × D.

Twist condition: for a solution (x(t), y(t)), (⋆) (x(0), y(0)) ∈ ∂S ⇒

  • x(T) − x(0) , ν(y(0))
  • > 0 .

(this is the new condition)

slide-60
SLIDE 60

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Here, x = (x1, . . . , xN) and y = (y1, . . . , yN). Assume H(t, x, y) to be also 2π-periodic in each x1, . . . , xN . Let D be an open, bounded, convex set in RN , with a smooth boundary, and denote by ν : ∂D → RN the outward normal

  • vectorfield. Consider the “strip” S = RN × D.

Twist condition: for a solution (x(t), y(t)), (⋆) (x(0), y(0)) ∈ ∂S ⇒

  • x(T) − x(0) , ν(y(0))
  • > 0 .
slide-61
SLIDE 61

A higher dimensional version of the theorem

We consider the system ˙ x = ∂H ∂y (t, x, y) , ˙ y = −∂H ∂x (t, x, y) , and assume that the Hamiltonian H(t, x, y) is T -periodic in t . Here, x = (x1, . . . , xN) and y = (y1, . . . , yN). Assume H(t, x, y) to be also 2π-periodic in each x1, . . . , xN . Let D be an open, bounded, convex set in RN , with a smooth boundary, and denote by ν : ∂D → RN the outward normal

  • vectorfield. Consider the “strip” S = RN × D.

Twist condition: for a solution (x(t), y(t)), (⋆) (x(0), y(0)) ∈ ∂S ⇒

  • x(T) − x(0) , ν(y(0))
  • > 0 .

Then, there are N + 1 geometrically distinct T -periodic solutions.

slide-62
SLIDE 62

Why N + 1 solutions?

slide-63
SLIDE 63

Why N + 1 solutions?

The proof is variational, it uses an infinite dimensional Ljusternik – Schnirelmann theory for the action functional ϕ(x, y) = 1

2

T

  • ˙

x, y − x, ˙ y

  • +

T H(t, x(t), y(t)) dt .

slide-64
SLIDE 64

Why N + 1 solutions?

The proof is variational, it uses an infinite dimensional Ljusternik – Schnirelmann theory for the action functional ϕ(x, y) = 1

2

T

  • ˙

x, y − x, ˙ y

  • +

T H(t, x(t), y(t)) dt . Writing x(t) = ¯ x + ˜ x(t), the periodicity in x1, . . . , xN permits to define the action on the product of the N -torus TN and a Hilbert space E : ¯ x ∈ TN, (˜ x, y) ∈ E , ϕ : TN × E → R .

slide-65
SLIDE 65

Why N + 1 solutions?

The proof is variational, it uses an infinite dimensional Ljusternik – Schnirelmann theory for the action functional ϕ(x, y) = 1

2

T

  • ˙

x, y − x, ˙ y

  • +

T H(t, x(t), y(t)) dt . Writing x(t) = ¯ x + ˜ x(t), the periodicity in x1, . . . , xN permits to define the action on the product of the N -torus TN and a Hilbert space E : ¯ x ∈ TN, (˜ x, y) ∈ E , ϕ : TN × E → R . The result then follows from the fact that cat(TN) = N + 1 .

slide-66
SLIDE 66

Why N + 1 solutions?

The proof is variational, it uses an infinite dimensional Ljusternik – Schnirelmann theory for the action functional ϕ(x, y) = 1

2

T

  • ˙

x, y − x, ˙ y

  • +

T H(t, x(t), y(t)) dt . Writing x(t) = ¯ x + ˜ x(t), the periodicity in x1, . . . , xN permits to define the action on the product of the N -torus TN and a Hilbert space E : ¯ x ∈ TN, (˜ x, y) ∈ E , ϕ : TN × E → R . The result then follows from the fact that cat(TN) = N + 1 .

  • Note. If ϕ only has nondegenerate critical points, then we can use

Morse theory and find 2N solutions.

slide-67
SLIDE 67

Why N + 1 solutions?

The proof is variational, it uses an infinite dimensional Ljusternik – Schnirelmann theory for the action functional ϕ(x, y) = 1

2

T

  • ˙

x, y − x, ˙ y

  • +

T H(t, x(t), y(t)) dt . Writing x(t) = ¯ x + ˜ x(t), the periodicity in x1, . . . , xN permits to define the action on the product of the N -torus TN and a Hilbert space E : ¯ x ∈ TN, (˜ x, y) ∈ E , ϕ : TN × E → R . The result then follows from the fact that cat(TN) = N + 1 .

  • Note. If ϕ only has nondegenerate critical points, then we can use

Morse theory and find 2N solutions. Indeed, sb(TN) = 2N .

slide-68
SLIDE 68

Examples of applications

slide-69
SLIDE 69

Examples of applications

Pendulum – like systems: Consider the system ¨ x + ∇G(x) = e(t) , where e(t) is a T -periodic forcing.

slide-70
SLIDE 70

Examples of applications

Pendulum – like systems: Consider the system ¨ x + ∇G(x) = e(t) , where e(t) is a T -periodic forcing. Assume that G(x) is 2π-periodic in each x1, . . . , xN .

slide-71
SLIDE 71

Examples of applications

Pendulum – like systems: Consider the system ¨ x + ∇G(x) = e(t) , where e(t) is a T -periodic forcing. Assume that G(x) is 2π-periodic in each x1, . . . , xN . If, moreover, T e(t) dt = 0 , then there are at least N + 1 geometrically distinct T -periodic solutions.

slide-72
SLIDE 72

Examples of applications

Pendulum – like systems: Consider the system ¨ x + ∇G(x) = e(t) , where e(t) is a T -periodic forcing. Assume that G(x) is 2π-periodic in each x1, . . . , xN . If, moreover, T e(t) dt = 0 , then there are at least N + 1 geometrically distinct T -periodic solutions. [Mawhin–Willem 1984]

slide-73
SLIDE 73

Examples of applications

slide-74
SLIDE 74

Examples of applications

Superlinear systems: Consider a system of the type          ¨ x1 + g1(x1) = ∂U ∂x1 (t, x1, . . . , xN) , . . . ¨ xN + gN(xN) = ∂U ∂xN (t, x1, . . . , xN) , where all ∂U ∂xk (t, x1, . . . , xN) are bounded, and T -periodic in t .

slide-75
SLIDE 75

Examples of applications

Superlinear systems: Consider a system of the type          ¨ x1 + g1(x1) = ∂U ∂x1 (t, x1, . . . , xN) , . . . ¨ xN + gN(xN) = ∂U ∂xN (t, x1, . . . , xN) , where all ∂U ∂xk (t, x1, . . . , xN) are bounded, and T -periodic in t . Assume that, for every k , lim

|ξ|→∞

gk(ξ) ξ = +∞ .

slide-76
SLIDE 76

Examples of applications

Superlinear systems: Consider a system of the type          ¨ x1 + g1(x1) = ∂U ∂x1 (t, x1, . . . , xN) , . . . ¨ xN + gN(xN) = ∂U ∂xN (t, x1, . . . , xN) , where all ∂U ∂xk (t, x1, . . . , xN) are bounded, and T -periodic in t . Assume that, for every k , lim

|ξ|→∞

gk(ξ) ξ = +∞ . Then, there are infinitely many T -periodic solutions.

slide-77
SLIDE 77

Examples of applications

Superlinear systems: Consider a system of the type          ¨ x1 + g1(x1) = ∂U ∂x1 (t, x1, . . . , xN) , . . . ¨ xN + gN(xN) = ∂U ∂xN (t, x1, . . . , xN) , where all ∂U ∂xk (t, x1, . . . , xN) are bounded, and T -periodic in t . Assume that, for every k , lim

|ξ|→∞

gk(ξ) ξ = +∞ . Then, there are infinitely many T -periodic solutions. [Ding–Zanolin 1992, Boscaggin–Ortega 2014]

slide-78
SLIDE 78

Examples of applications

slide-79
SLIDE 79

Examples of applications

Superlinear systems: Consider a Hamiltonian system of the type        −¨ x1 = x1

  • h1(t, x1) + e1(t, x1, . . . , xN)
  • ,

. . . −¨ xN = xN

  • hN(t, xN) + eN(t, x1, . . . , xN)
  • ,

where all ek(t, x1, . . . , xN) are bounded, and T -periodic in t .

slide-80
SLIDE 80

Examples of applications

Superlinear systems: Consider a Hamiltonian system of the type        −¨ x1 = x1

  • h1(t, x1) + e1(t, x1, . . . , xN)
  • ,

. . . −¨ xN = xN

  • hN(t, xN) + eN(t, x1, . . . , xN)
  • ,

where all ek(t, x1, . . . , xN) are bounded, and T -periodic in t . Assume that, for every k , lim

|ξ|→∞ hk(t, ξ) = +∞ .

slide-81
SLIDE 81

Examples of applications

Superlinear systems: Consider a Hamiltonian system of the type        −¨ x1 = x1

  • h1(t, x1) + e1(t, x1, . . . , xN)
  • ,

. . . −¨ xN = xN

  • hN(t, xN) + eN(t, x1, . . . , xN)
  • ,

where all ek(t, x1, . . . , xN) are bounded, and T -periodic in t . Assume that, for every k , lim

|ξ|→∞ hk(t, ξ) = +∞ .

Then, there are infinitely many T -periodic solutions.

slide-82
SLIDE 82

Examples of applications

Superlinear systems: Consider a Hamiltonian system of the type        −¨ x1 = x1

  • h1(t, x1) + e1(t, x1, . . . , xN)
  • ,

. . . −¨ xN = xN

  • hN(t, xN) + eN(t, x1, . . . , xN)
  • ,

where all ek(t, x1, . . . , xN) are bounded, and T -periodic in t . Assume that, for every k , lim

|ξ|→∞ hk(t, ξ) = +∞ .

Then, there are infinitely many T -periodic solutions. [Jacobowitz 1976, Hartman 1977, F .–Sfecci 2014]

slide-83
SLIDE 83

More general twist conditions

slide-84
SLIDE 84

More general twist conditions

The twist condition (⋆) (x(0), y(0)) ∈ ∂S ⇒

  • x(T) − x(0) , ν(y(0))
  • > 0

can be improved in two directions.

slide-85
SLIDE 85

More general twist conditions

The twist condition (⋆) (x(0), y(0)) ∈ ∂S ⇒

  • x(T) − x(0) , ν(y(0))
  • > 0

can be improved in two directions.

  • I. The “indefinite twist” condition:

for a regular symmetric N × N matrix A, (⋆′) (x(0), y(0)) ∈ ∂S ⇒

  • x(T) − x(0) , Aν(y(0))
  • > 0 .
slide-86
SLIDE 86

More general twist conditions

The twist condition (⋆) (x(0), y(0)) ∈ ∂S ⇒

  • x(T) − x(0) , ν(y(0))
  • > 0

can be improved in two directions.

  • I. The “indefinite twist” condition:

for a regular symmetric N × N matrix A, (⋆′) (x(0), y(0)) ∈ ∂S ⇒

  • x(T) − x(0) , Aν(y(0))
  • > 0 .
  • II. The “avoiding rays” condition:

(⋆′′) (x(0), y(0)) ∈ ∂S ⇒ x(T) − x(0) / ∈ {−λν(y(0)) : λ ≥ 0} .

slide-87
SLIDE 87

More general twist conditions

  • II. The “avoiding rays” condition:

(⋆′′) (x(0), y(0)) ∈ ∂S ⇒ x(T) − x(0) / ∈ {−λν(y(0)) : λ ≥ 0} .

slide-88
SLIDE 88

More general twist conditions

  • II. The “avoiding rays” condition:

(⋆′′) (x(0), y(0)) ∈ ∂S ⇒ x(T) − x(0) / ∈ {−λν(y(0)) : λ ≥ 0} .

slide-89
SLIDE 89

a collaboration with Antonio J. Ureña