Correlation functions for colored tensor models Schwinger-Dyson - - PowerPoint PPT Presentation

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Correlation functions for colored tensor models Schwinger-Dyson - - PowerPoint PPT Presentation

Correlation functions for colored tensor models Schwinger-Dyson Equations Carlos. I. P erez-S anchez Mathematics Institute, University of M unster LQP 40, Max-Planck-Institut f ur Mathematik MIS Leipzig, 23 June Motivation


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SLIDE 1

Correlation functions for colored tensor models

Schwinger-Dyson Equations

  • Carlos. I. P´

erez-S´ anchez

Mathematics Institute, University of M¨ unster

LQP 40, Max-Planck-Institut f¨ ur Mathematik MIS Leipzig, 23 June

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SLIDE 2

Motivation Motivation

Random Geometry framework (“Quantum Gravity”) Z =

topologies geometries

D[g]e−SEH[g] ∼

( )∈topologies

geometries

µ

  • k

1 2 D D 1 2 k

k

  • Random matrices do that successfully for 2D. Random tensor models

is a higher-dimensional arena, together with QFT-techniques, based

  • n this idea

Gurau-Witten model based on SYK-model (Sachdev-Ye–Kitaev). Random tensor methods useful in AdS2/CFT1 (Maldacena, Stanford)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Motivation 23 June 2 / 30

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SLIDE 3

Outline Outline

matrix and random tensor models Non-perturbative approach to quantum (coloured) tensor fields

ϕ4-intearction Λ0

Λ ≫ Λ0

◮ graph-calculus: correlation functions ◮ full Ward-Takahashi Identities: non-perturbative, systematic approach ◮ Schwinger-Dyson equations: equations for the multiple-point functions

(joint work with Raimar Wulkenhaar)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Outline 23 June 3 / 30

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SLIDE 4

Random matrix theory: ensembles

Nuclear physics (Wigner). Stochastics: E ⊂ MN(K): Z =

  • E dµ

Statistics of random eigenvalues; study limit N ∞; universality, µ-independence (tensor models too: book by R. Gur˘ au) usually, for certain polynomial P(x) = Nx2/2 + N V(x), Z =

  • E dM e−Tr P(M) =
  • E dM e− N

2 Tr M2

  • dµ0

−NTr V(M) =

  • E dµ0 e−NTr V(M)

Kontsevich, Grosse-Wulkenhaar, Barrett-Glaser, . . . models V(M) = Mp (p = 4, 6, 8)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Matrix models 23 June 4 / 30

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SLIDE 5

Random matrix theory: ensembles

Nuclear physics (Wigner). Stochastics: E ⊂ MN(K): Z =

  • E dµ

Statistics of random eigenvalues; study limit N ∞; universality, µ-independence (tensor models too: book by R. Gur˘ au) usually, for certain polynomial P(x) = Nx2/2 + N V(x), Z =

  • E dM e−Tr P(M) =
  • E dM e− N

2 Tr M2

  • dµ0

−NTr V(M) =

  • E dµ0 e−NTr V(M)

Kontsevich, Grosse-Wulkenhaar, Barrett-Glaser, . . . models V(M) = Mp (p = 4, 6, 8)

, , , . . .

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Matrix models 23 June 4 / 30

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SLIDE 6

“Rank-2 tensor models”

For complex matrix models

  • D[M, M]e−Tr(MM†)−λV(M, M†)

M M M M M M M

. . .

= dual triangulation to

. . .

. For V(M, ¯ M) = λTr((MM†)2), different connected O(λ2)-graphs are

1 2 1 2 1 2 1 2 1 2 1 2 2 1 2 1

rectangular matrices, M ∈ MN1×N2(C) and M U(1)M(U(2))

t.

U(N1) × U(N2)-invariants are Tr((MM†)q), q ∈ Z≥1

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Ribbon graphs as coloured ones 23 June 5 / 30

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SLIDE 7

“Rank-2 tensor models”

For complex matrix models

  • D[M, M]e−Tr(MM†)−λV(M, M†)

M M M M M M M

. . .

= dual triangulation to

. . .

. For V(M, ¯ M) = λTr((MM†)2), different connected O(λ2)-graphs are

1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2

rectangular matrices, M ∈ MN1×N2(C) and M U(1)M(U(2))

t.

U(N1) × U(N2)-invariants are Tr((MM†)q), q ∈ Z≥1

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Ribbon graphs as coloured ones 23 June 5 / 30

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SLIDE 8

“Rank-2 tensor models”

For complex matrix models

  • D[M, M]e−Tr(MM†)−λV(M, M†)

M M M M M M M

. . .

= dual triangulation to

. . .

. For V(M, ¯ M) = λTr((MM†)2), different connected O(λ2)-graphs are

1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2

rectangular matrices, M ∈ MN1×N2(C) and M U(1)M(U(2))

t.

U(N1) × U(N2)-invariants are Tr((MM†)q), q ∈ Z≥1

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Ribbon graphs as coloured ones 23 June 5 / 30

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SLIDE 9

Coloured Tensor Models Coloured Tensor Models

a quantum field theory for tensors ϕa1...aD and ϕa1...aD the indices transform under different representations of G = U(N1) × U(N2) × . . . × U(ND) for g ∈ G, g = (U(1), . . . , U(D)), U(a) ∈ U(Na), ϕa1a2...aD

g (ϕ′)a1a2...aD = U(1) a1b1U(2) a2b2 . . . U(D) aDbD ϕb1...bD

the complex conjugate tensor ϕa1a2...aD transforms as ϕa1a2...aD

g (ϕ′)a1a2...aD = U (1) a1b1U (2) a2b2 . . . U (D) aDbD ϕb1b2...bD

G-invariants serve as interaction vertices S[ϕ, ϕ] = ∑

i

τiTrBi(ϕ, ϕ) = TrB2(ϕ, ϕ) + ∑

α

λαTrBα(ϕ, ϕ)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Coloured Tensors 23 June 6 / 30

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SLIDE 10

Feynman diagrams: Choose an action, for instance, the ϕ4

3-theory,

S[ϕ, ¯ ϕ] = TrB2(ϕ, ϕ) + λ(TrV1(ϕ, ϕ) + TrV2(ϕ, ϕ) + TrV3(ϕ, ϕ)) and V1 = , V2= , V3 = , Z[J, ¯ J] = D[ϕ, ¯ ϕ] eTrB2(Jϕ)+TrB2( ¯

ϕJ)−N2S[ϕ,ϕ]

D[ϕ, ¯ ϕ] e−N2S[ϕ,ϕ] , with TrB2 ↔ dµC(ϕ, ϕ) := D[ϕ, ¯ ϕ]e−N2S0[ϕ,ϕ] := ∏

a

dϕadϕa 2πi e−N2TrB2(ϕ,ϕ)

  • Write

for Wick’s contractions w.r.t. the Gaußian measure

  • dµC(ϕ, ϕ)ϕaϕp = C(a, p) = δap = a

p

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Feynman diagrams 23 June 7 / 30

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SLIDE 11

Feynman diagrams: Choose an action, for instance, the ϕ4

3-theory,

S[ϕ, ¯ ϕ] = TrB2(ϕ, ϕ) + λ(TrV1(ϕ, ϕ) + TrV2(ϕ, ϕ) + TrV3(ϕ, ϕ)) and V1 = , V2= , V3 = , Z[J, ¯ J] = D[ϕ, ¯ ϕ] eTrB2(Jϕ)+TrB2( ¯

ϕJ)−N2S[ϕ,ϕ]

D[ϕ, ¯ ϕ] e−N2S[ϕ,ϕ] , with TrB2 ↔ dµC(ϕ, ϕ) := D[ϕ, ¯ ϕ]e−N2S0[ϕ,ϕ] := ∏

a

dϕadϕa 2πi e−N2TrB2(ϕ,ϕ)

  • Write

for Wick’s contractions w.r.t. the Gaußian measure

  • dµC(ϕ, ϕ)ϕaϕp = C(a, p) = δap = a

p

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Feynman diagrams 23 June 7 / 30

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SLIDE 12

1

=

1 2 3 1 2 3 2 3 1 2 3 1 1 2 3 1 2 3 3 1 2 3 1 2

1

Vertex bipartite regularly edge–D-coloured graphs

Feynman graphs of a model V, FeynD(V) are (D + 1)-coloured. Crystallization theory or GEMs [Pezzana, ‘74] says all PL-manifolds of dimension D can be represented as D + 1-coloured graphs, GrphD+1.

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Feynman diagrams 23 June 8 / 30

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SLIDE 13

The complex ∆(G)

for each vertex v ∈ G(0), add a D-simplex σv to ∆(G) with colour-labelled vertices {0, 1, . . . , D} ϕ, ¯ ϕ v

k 1 D

for each edge ek ∈ G(1)

k

  • f arbitrary colour k, one identifies the two

(D − 1)-simplices σs(ek) and σt(ek) that do not contain the colour k.

s(ek) t(ek) ek k 1 D D 1 k

k

, edges come from either ϕa1...ak...aDδakpk ¯ ϕp1...pk...pD(k = 0) or ϕa ¯ ϕp (k = 0).

[Gur˘ au, ’09] and [Bonzom, Gur˘ au, Riello, Rivasseau, ’11];

A(G) = λV(G)/2N

F(G)− D(D−1)

4

V(G)

  • =: D−

2 (D−1)! ω(G)

  • generalizes g; not topol. invariant

= exp(−SRegge[N, D, λ])

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Graph-encoded topology 23 June 9 / 30

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SLIDE 14

The complex ∆(G)

for each vertex v ∈ G(0), add a D-simplex σv to ∆(G) with colour-labelled vertices {0, 1, . . . , D} ϕ, ¯ ϕ v

k 1 D

for each edge ek ∈ G(1)

k

  • f arbitrary colour k, one identifies the two

(D − 1)-simplices σs(ek) and σt(ek) that do not contain the colour k.

s(ek) t(ek) ek k 1 D D 1 k

k

, edges come from either ϕa1...ak...aDδakpk ¯ ϕp1...pk...pD(k = 0) or ϕa ¯ ϕp (k = 0).

[Gur˘ au, ’09] and [Bonzom, Gur˘ au, Riello, Rivasseau, ’11];

A(G) = λV(G)/2N

F(G)− D(D−1)

4

V(G)

  • =: D−

2 (D−1)! ω(G)

  • generalizes g; not topol. invariant

= exp(−SRegge[N, D, λ])

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Graph-encoded topology 23 June 9 / 30

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SLIDE 15

Ward-Takahashi Identity Ward-Takahashi Identity

motivated by the WTI for matrix models by [Disertori-Gurau-Magnen-Rivasseau]; WTI fully exploited by [Grosse-Wulkenhaar] for Tα

a a hermitian generator of the a-th summand of Lie(U(N)D),

δ log Z[J, ¯ J] δ(Tα

a )mana

= 0. this implies a relation of the type

pi∈Z

E(ma, na) δ2Z[J, ¯ J] δJp1...pa−1mapa+1...pD¯ Jp1...pa−1napa+1...pD = DJ,¯

J Z[J, ¯

J]

where E(ma, na) = −E(na, ma) anihilates δmana-terms. Aim: find them.

  • C. I. P´

erez S´ anchez (Math. M¨ unster) The full WTI for tensor models 23 June 10 / 30

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SLIDE 16

Ward-Takahashi Identity Ward-Takahashi Identity

motivated by the WTI for matrix models by [Disertori-Gurau-Magnen-Rivasseau]; WTI fully exploited by [Grosse-Wulkenhaar] for Tα

a a hermitian generator of the a-th summand of Lie(U(N)D),

δ log Z[J, ¯ J] δ(Tα

a )mana

= 0. this implies a relation of the type

pi∈Z

E(ma, na) δ2Z[J, ¯ J] δJp1...pa−1mapa+1...pD¯ Jp1...pa−1napa+1...pD = DJ,¯

J Z[J, ¯

J]

where E(ma, na) = −E(na, ma) anihilates δmana-terms. Aim: find them.

  • C. I. P´

erez S´ anchez (Math. M¨ unster) The full WTI for tensor models 23 June 10 / 30

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SLIDE 17

Expansion of the free energy

im ∂V = ∂ FeynD(V) is the boundary sector of the model V W[J, ¯ J] =

k=1

B∈∂FeynD(V(ϕ, ¯ ϕ)) 2k=#(B(0))

1 |Autc(B)| G(2k)

B

⋆ J(B) . Coloured automorphisms of B (J(B))(x1, . . . , xk

  • (ZD)k

) = Jx1 · · · Jxk¯ Jy1 · · · ¯ Jyk Green’s function G(2k)

B

= ∂2kW[J, ¯ J]/∂J(B)|J=¯

J=0

F : MD×k(B)(Z) C; ⋆ : (F, J(B)) F ⋆ J(B) = ∑

a

F(a) · J(B)(a)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Boundary-graph-expansion of W[J, ¯ J] 23 June 11 / 30

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SLIDE 18

Expansion of the free energy

im ∂V = ∂ FeynD(V) is the boundary sector

  • f the model V

W[J, ¯ J] =

k=1

B∈ im ∂V 2k=#(Vertices of B)

1 |Autc(B)| G(2k)

B

⋆ J(B) . Coloured automorphisms of B (J(B))(x1, . . . , xk

  • (ZD)k

) = Jx1 · · · Jxk¯ Jy1 · · · ¯ Jyk Green’s function G(2k)

B

= ∂2kW[J, ¯ J]/∂J(B)|J=¯

J=0

F : MD×k(B)(Z) C; ⋆ : (F, J(B)) F ⋆ J(B) = ∑

a

F(a) · J(B)(a)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Boundary-graph-expansion of W[J, ¯ J] 23 June 11 / 30

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SLIDE 19

Expansion of the free energy

im ∂V = ∂ FeynD(V) is the boundary sector of the model V W[J, ¯ J] =

k=1

B∈∂FeynD(V(ϕ, ¯ ϕ)) 2k=#(B(0))

1 |Autc(B)| G(2k)

B

⋆ J(B) . Coloured automorphisms of B (J(B))(x1, . . . , xk

  • (ZD)k

) = Jx1 · · · Jxk¯ Jy1 · · · ¯ Jyk Green’s function G(2k)

B

= ∂2kW[J, ¯ J]/∂J(B)|J=¯

J=0

F : MD×k(B)(Z) C; ⋆ : (F, J(B)) F ⋆ J(B) = ∑

a

F(a) · J(B)(a)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Boundary-graph-expansion of W[J, ¯ J] 23 June 11 / 30

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SLIDE 20

Expansion of the free energy

im ∂V = ∂ FeynD(V) is the boundary sector of the model V W[J, ¯ J] =

k=1

B∈∂FeynD(V(ϕ, ¯ ϕ)) 2k=#(B(0))

1 |Autc(B)| G(2k)

B

⋆ J(B) . Coloured automorphisms of B

Jx1 Jx2 Jxk . . . . . . ¯ Jy1 ¯ Jy2 ¯ Jyk G

(J(B))(x1, . . . , xk

  • (ZD)k

) = Jx1 · · · Jxk¯ Jy1 · · · ¯ Jyk Green’s function G(2k)

B

= ∂2kW[J, ¯ J]/∂J(B)|J=¯

J=0

F : MD×k(B)(Z) C; ⋆ : (F, J(B)) F ⋆ J(B) = ∑

a

F(a) · J(B)(a)

B∗ : MD×k(B)(C) MD×k(B)(C)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Boundary-graph-expansion of W[J, ¯ J] 23 June 11 / 30

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SLIDE 21

Expansion of the free energy

im ∂V = ∂ FeynD(V) is the boundary sector of the model V W[J, ¯ J] =

k=1

B∈∂FeynD(V(ϕ, ¯ ϕ)) 2k=#(B(0))

1 |Autc(B)| G(2k)

B

⋆ J(B) . Coloured automorphisms of B

Jx1 Jx2 Jxk . . . . . . ¯ Jy1 ¯ Jy2 ¯ Jyk G

(J(B))(x1, . . . , xk

  • (ZD)k

) = Jx1 · · · Jxk¯ Jy1 · · · ¯ Jyk Green’s function G(2k)

B

= ∂2kW[J, ¯ J]/∂J(B)|J=¯

J=0

F : MD×k(B)(Z) C; ⋆ : (F, J(B)) F ⋆ J(B) = ∑

a

F(a) · J(B)(a)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Boundary-graph-expansion of W[J, ¯ J] 23 June 11 / 30

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SLIDE 22

Expansion of the free energy

im ∂V = ∂ FeynD(V) is the boundary sector of the model V W[J, ¯ J] =

k=1

B∈∂FeynD(V(ϕ, ¯ ϕ)) 2k=#(B(0))

1 |Autc(B)| G(2k)

B

⋆ J(B) . Coloured automorphisms of B

Jx1 Jx2 Jxk . . . . . . ¯ Jy1 ¯ Jy2 ¯ Jyk G

(J(B))(x1, . . . , xk

  • (ZD)k

) = Jx1 · · · Jxk¯ Jy1 · · · ¯ Jyk Green’s function G(2k)

B

= ∂2kW[J, ¯ J]/∂J(B)|J=¯

J=0

F : MD×k(B)(Z) C; ⋆ : (F, J(B)) F ⋆ J(B) = ∑

a

F(a) · J(B)(a)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Boundary-graph-expansion of W[J, ¯ J] 23 June 11 / 30

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SLIDE 23

Green’s functions

G =

Ja1 Ja2 Jak . . . . . . ¯ Jp1 ¯ Jp2 ¯ Jpk

B = ∂G J(B){ai} =

k

i=1

Jai¯ Jpi One can derive a functional X[J, ¯ J] with respect to a graph. For instance: ∂

  • 2

2 1 1 2 2 1 1 2 2 1 1

= ∂X[J, ¯ J] ∂

c a b

= ∂6X[J, ¯ J] ∂Ja ∂Jb ∂Jc ∂¯ Ja1c2b3∂¯ Jb1a2c3∂¯ Jc1b2a3 So: ∂ ∂

c a b

  • g

e f

  • = δe

aδf bδg c + δg aδe bδf c + δf aδg bδe c ↔ Autc(

) ≃ Z3

Lemma

G(2k)

B

(a1, . . . , ak) = ∂2kW[J, ¯ J] ∂J(B)(a1, . . . , ak)

  • J=¯

J=0

are all non-trivial, B ∈ im∂

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Boundary-graph-expansion of W[J, ¯ J] 23 June 12 / 30

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SLIDE 24

Green’s functions

G =

Ja1 Ja2 Jak . . . . . . ¯ Jp1 ¯ Jp2 ¯ Jpk

B = ∂G J(B){ai} =

k

i=1

Jai¯ Jpi One can derive a functional X[J, ¯ J] with respect to a graph. For instance: ∂

  • 2

2 1 1 2 2 1 1 2 2 1 1

= ∂X[J, ¯ J] ∂

c a b

= ∂6X[J, ¯ J] ∂Ja ∂Jb ∂Jc ∂¯ Ja1c2b3∂¯ Jb1a2c3∂¯ Jc1b2a3 So: ∂ ∂

c a b

  • g

e f

  • = δe

aδf bδg c + δg aδe bδf c + δf aδg bδe c ↔ Autc(

) ≃ Z3

Lemma

G(2k)

B

(a1, . . . , ak) = ∂2kW[J, ¯ J] ∂J(B)(a1, . . . , ak)

  • J=¯

J=0

are all non-trivial, B ∈ im∂

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Boundary-graph-expansion of W[J, ¯ J] 23 June 12 / 30

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SLIDE 25

Boundary graphs and bordisms interpretation

since B = ∂G represents the ‘boundary of a simplicial complex that G triangulates’, one can give a bordism-interpretation to the Green’s functions for instance, if |∆(B)| = S3 ⊔ (S2 × S1) ⊔ L3,1 = M, then GB = ∂W/∂B describes the bulk compatible with the triangulation of M

ϕ4-generated 4D-bulk S3 L3,1 S2 × S1

+

ϕ4-generated 4D-bulk S3 L3,1 S2 × S1

+

ϕ4-generated 4D-bulk S3 L3,1 S2 × S1

+ . . .

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Boundary-graph-expansion of W[J, ¯ J] 23 June 13 / 30

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SLIDE 26

Lemma

The boundary sector of rank-D quartic melonic models is all of ∐GrphD. For D = 3, all quartic vertices are melonic. The lowest order boundary connected graphs are:

k = 1 M Autc(M) = {∗}

ω #

1

k = 2 Vc

c

Autc(Vc) = Z2

ω #

3

k = 3 Ec

c

Autc(Ec) = {∗}

ω #

3

k = 3 Qc

c c c

Autc(Qc) = Z3

ω #

3

k = 3 Kc(3, 3)

2 1 2 1 2 1 3 3 3

Autc(Kc(3, 3)) = Z3

ω

1

#

1

slide-27
SLIDE 27

D = 4-connected boundary graphs

k = 1 M Autc(M) = {∗}

ω #

1

k = 2 Vi i Autc(Vi) = Z2

ω #

4

k = 2 Nij

i j i j

Autc(Nij) = Z2

ω

1

#

3

k = 3 Eij

j j i i

Autc(Eij) = {∗}

ω #

6

k = 3 Qij

j i j i i

Autc(Qij) = {∗}

ω

1

#

12

k = 3 Ci

i i i

Autc(Ci) = Z3

ω #

4

No counting needed For any colour i ∈ {1, 2, 3, 4} Since Nij = Nji

  • ne imposes i < j

Eij = Eji i < j i, j ∈ {1, 2, 3, 4} Qij = Qji arbirary colours i, j arbirary colour i

slide-28
SLIDE 28

k = 3 Lij

j j j i i i

Autc(Lij) = Z3

ω

2

#

3

k = 3 Dijk i i i j k k Autc(Dijk) = {∗}

ω

2

#

6

k = 3 F• Autc(F•) =coloration

dependent

ω

?

#

?

Lij = Lji, Lij = Lkl {i, j, k, l} ∈ {1, 2, 3, 4} Dijk = Djil, i < j, {i, j, k, l} = {1, . . . , 4} ? k = 3 Fij

i i i j j j

Autc(Fij) = Z3

ω

4

#

6

k = 3 F′k

k k k i1 i2 i3

Autc(F′k) = {∗}

ω

3

#

4

Fij = Fji, so i < j i, j ∈ {1, 2, 3, 4} k arbitrary, but pairwise ip = iq

slide-29
SLIDE 29

WD=3[J, ¯ J]

WD=3[J, ¯ J] = G(2) ⋆ J( ) +

slide-30
SLIDE 30

WD=3[J, ¯ J]

WD=3[J, ¯ J] = G(2) ⋆ J( ) + 1 2! G(4)

| | | ⋆ J( ⊔2) + 1

2 ∑

c

G(4)

c c ⋆ J

  • c
slide-31
SLIDE 31

WD=3[J, ¯ J]

WD=3[J, ¯ J] = G(2) ⋆ J( ) + 1 2! G(4)

| | | ⋆ J( ⊔2) + 1

2 ∑

c

G(4)

c c ⋆ J

  • c

+ 1 3 ∑

c

G(6)

c ⋆

J

  • c
  • + 1

3 G(6) ⋆ J

  • + ∑

i

G(6)

i

⋆ J

  • i
  • + 1

3! G(6)

| | | | ⋆ J( ⊔3) +

1 2 ∑

c

G(6)

| |c c| ⋆ J

c

slide-32
SLIDE 32

WD=3[J, ¯ J]

WD=3[J, ¯ J] = G(2) ⋆ J( ) + 1 2! G(4)

| | | ⋆ J( ⊔2) + 1

2 ∑

c

G(4)

c c ⋆ J

  • c

+ 1 3 ∑

c

G(6)

c ⋆

J

  • c
  • + 1

3 G(6) ⋆ J

  • + ∑

i

G(6)

i

⋆ J

  • i
  • + 1

3! G(6)

| | | | ⋆ J( ⊔3) +

1 2 ∑

c

G(6)

| |c c| ⋆ J

c

+ 1 2! · 22 ∑

c

G(8)

|c c|c c| ⋆ J

  • c

c

+ 1 22 ∑

c<i

G(8)

|c c|i i| ⋆

J

  • c

i

+ 1 4! G(8)

| | | | | ⋆ J( ⊔4) +

1 2 · 2! ∑

c

G(8)

| | |c c| ⋆ J

c

+ 1 3G(8)

| | | ⋆ J

  • + 1

3 ∑

c

G(8)

| |

c

|

⋆ J

c

  • + ∑

i

G(8)

| |

i

| ⋆ J

i

  • + ∑

j ; l<i

G(8)

j i l

⋆ J

  • l

j l i i j j j i i l l

+ ∑

j=i

G(8)

j i i i j l l

⋆ J

  • j

i i i i j j j l l l l

+ 1 4 ∑

j

G(8)

j

⋆ J

  • j

j j j

+ ∑

j=i

G(8)

i j

⋆ J

  • i

i j

+ ∑

i

G(8)

i l l j

⋆ J

  • i

l l i l

j

i i j l

+ ∑

l=i=j

G(8)

l j i ⋆ J

  • l

l l l j i i i i

+ G(8)

c a c a

⋆ J

  • c

a c a b b

+ G(8)

a b a c c a b

⋆ J

  • a

b b a c a b a

+ O(10) .

slide-33
SLIDE 33

Theorem (Full Ward-Takahashi Identity for arbitrary tensor models)

If the kinetic form E in Tr2( ¯ ϕ, Eϕ) of a rank-D tensor model is such that Ep1...pa−1mapa+1...pD − Ep1...pa−1napa+1...pD = E(ma, na) for each a = 1, . . . , D then its partition function Z[J, ¯ J], as a consequence of unitary invariance of the measure δZ[J, ¯ J]/δ(Ta)mana = 0, Ta a generator of u(N)), satisfies

pi∈Z

δ2Z[J, ¯ J] δJp1...pa−1mapa+1...pDδ¯ Jp1...pa−1napa+1...pD −

  • δmanaY(a)

ma [J, ¯

J]

  • · Z[J, ¯

J] = ∑

pi∈Z

1 E(ma, na)

  • ¯

Jp1...ma...pD δ δ¯ J p1...na...pD − Jp1...na...pD δ δJ p1...ma...pD

  • Z[J, ¯

J] where Y(a)

ma [J, ¯

J] :=

k=1 ∑ B∈im∂V ′

1 |Autc(B)|G(2k)

B

, Bma =

k=1 ∑ B∈im∂V ′

1 |Autc(B)|

k

r=1

  • ∆B

ma,rG(2k) B

  • ⋆ J(B ⊖ er

a) .

  • C. I. P´

erez S´ anchez (Math. M¨ unster) The full WTI for tensor models 23 June 18 / 30

slide-34
SLIDE 34

Defining B

B ⊖ er

a and ∆B ma,r : (C)Zk·D

(C)Z(k−1)·D (r = 1, . . . , k)

Locally:

  • er

a

. . . . . .

. . .

  • ⊖ er

a

. . . . . .

  • C. I. P´

erez S´ anchez (Math. M¨ unster) The full WTI for tensor models 23 June 19 / 30

slide-35
SLIDE 35

Defining B

B ⊖ er

a and ∆B ma,r : (C)Zk·D

(C)Z(k−1)·D (r = 1, . . . , k)

Locally:

  • er

a

. . . . . .

. . .

i xξ(r,i,a) xξ(r,j,a) j

  • ⊖ er

a

. . . . . .

Let w = (ma, {qh}h∈I(e a

r), {xξ(r,g,a)

g

}g∈A(e a

r)) (colour-ordered);

qh is a dummy variable for each colour-h removed edge other than er

a

xξ(r,g,a)

g

colour-g entry of xξ(r,g,a) Set, for F : (ZD)k C, (∆B

ma,rF)(x1, . . . ,

xr, . . . , xk−1) = ∑

{qh}

F(x1, . . . , xr−1, w(ma, x, q), . . . , xk−1) and G(2k)

B

, Bma :=

k

r=1

  • ∆B

ma,rG(2k) B

  • ⋆ J(B ⊖ er

a)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) The full WTI for tensor models 23 June 19 / 30

slide-36
SLIDE 36

Examples of G(2k)

B

, Bma

for instance, for D = 3, a = 2

  • G(2) ,
  • m2 = ∆m2,1G(2) ⋆ J(∅) =

q1,q3∈Z

G(2) (q1, m2, q3) . In D = 4, for F ′

c =

, one has F ′

c ⊖ e1 a = F ′ c ⊖ e3 a =

, F ′

c ⊖ e2 a =

  • G(6)

F ′

c , F ′

c

  • ma = ∆ma,1G(6)

F ′

c ⋆ J

  • + ∆ma,2G(6)

F ′

c ⋆ J

  • + ∆ma,3G(6)

F ′

c ⋆ J

  • ∆ma,2G(6)

F ′

c (y, z)

=∑

qc

G(6)

F ′

c (y, (ma, yb, qc, zd), z)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) The full WTI for tensor models 23 June 20 / 30

slide-37
SLIDE 37

Examples of G(2k)

B

, Bma

for instance, for D = 3, a = 2

  • G(2) ,
  • m2 = ∆m2,1G(2) ⋆ J(∅) =

q1,q3∈Z

G(2) (q1, m2, q3) . In D = 4, for F ′

c = c c c a a a b

, one has F ′

c ⊖ e1 a = F ′ c ⊖ e3 a = a

c a c

, F ′

c ⊖ e2 a = a

  • G(6)

F ′

c , F ′

c

  • ma = ∆ma,1G(6)

F ′

c ⋆ J

  • a

c a c

  • + ∆ma,2G(6)

F ′

c ⋆ J

  • a
  • + ∆ma,3G(6)

F ′

c ⋆ J

  • a

c a c

  • ∆ma,2G(6)

F ′

c (y, z)

=∑

qc

G(6)

F ′

c (y, (ma, yb, qc, zd), z)

  • C. I. P´

erez S´ anchez (Math. M¨ unster) The full WTI for tensor models 23 June 20 / 30

slide-38
SLIDE 38

Graph-generated functionals

For any k ∈ N let FD,k := {(y1, . . . , yk) ∈ MD×k(Z) | yα

c = yν c for all c = 1, . . . , D,

for all α, ν = 1, . . . , k, α = ν} . We define the graph derivative of a functional X[J, ¯ J] with respect to B at X = (x1, . . . , xk) ∈ FD,k as ∂X[J, ¯ J] ∂B(X) := δ2k(B)X[J, ¯ J] δ(J(B))(X)

  • J=0

¯ J=0

=

k

α=1

δ δJxα δ δ¯ Jyα X[J, ¯ J]

  • J=0

¯ J=0

Jx1 Jx2 Jxk . . . . . . ¯ Jy1 ¯ Jy2 ¯ Jyk G

Y(a)

sa [J, ¯

J] = ∑

C∈ΩV

f(a)

C,sa ⋆ J(C). The derivative w.r.t. connected B ∈ ΩV is

∂Y(a)

sa [J, ¯

J] ∂ B(X) =

ˆ σ∈Autc(B)

(σ∗fB)(X), where (σ∗fB)(x1, . . . , xk(B)) := fB(xσ−1(1), . . . , xσ−1(k(B))) .

slide-39
SLIDE 39

Schwinger-Dyson equations Schwinger-Dyson equations

SDEs for the ϕ4

mel,D-model (k ≥ 2) [C.P., Raimar Wulkenhaar]

Let D ≥ 3 and let B be a connected boundary graph of the quartic melonic model, B ∈ FeynD(ϕ4

m,D) = Grph∐,cl D

. Let s = y1, where B∗(X) = (y1, . . . , yk) for any X ∈ Fk(B),D. The (2k)-point Schwinger-Dyson equation corresponding to B is

  • 1 + 2λ

Es

D

a=1∑ qˆ

a

(sa, qˆ

a)

  • G(2k)

B

(X) (1) = (−2λ) Es

D

a=1

ˆ σ∈Autc(B)

σ∗f(a)

B,sa(X) + ∑ ρ>1

1 E(yρ

a, sa)

Z−1 ∂Z[J, J] ∂ςa(B; 1, ρ)(X) − ∑

ba

1 E(sa, ba)

  • G(2k)

B

(X) − G(2k)

B

(X|sa→ba)

  • for all X ∈ FD,k(B). Here saqa = (q1, q2, . . . , qa−1, sa, qa+1, . . . , qD).
  • C. I. P´

erez S´ anchez (Math. M¨ unster) Schwinger-Dyson equations 23 June 22 / 30

slide-40
SLIDE 40

Schwinger-Dyson equations Schwinger-Dyson equations

SDEs for the ϕ4

mel,D-model (k ≥ 2) [C.P., Raimar Wulkenhaar]

Let D ≥ 3 and let B be a connected boundary graph of the quartic melonic model, B ∈ FeynD(ϕ4

m,D) = Grph∐,cl D

. Let s = y1, where B∗(X) = (y1, . . . , yk) for any X ∈ Fk(B),D. The (2k)-point Schwinger-Dyson equation corresponding to B is

  • 1 + 2λ

Es

D

a=1∑ qˆ

a

(sa, qˆ

a)

  • G(2k)

B

(X) (1) = (−2λ) Es

D

a=1

ˆ σ∈Autc(B)

σ∗f(a)

B,sa(X) + ∑ ρ>1

1 E(yρ

a, sa)

Z−1 ∂Z[J, J] ∂ςa(B; 1, ρ)(X) − ∑

ba

1 E(sa, ba)

  • G(2k)

B

(X) − G(2k)

B

(X|sa→ba)

  • for all X ∈ FD,k(B). Here saqa = (q1, q2, . . . , qa−1, sa, qa+1, . . . , qD).
  • C. I. P´

erez S´ anchez (Math. M¨ unster) Schwinger-Dyson equations 23 June 22 / 30

slide-41
SLIDE 41

Schwinger-Dyson equations Schwinger-Dyson equations

SDEs for the ϕ4

mel,D-model (k ≥ 2) [C.P., Raimar Wulkenhaar]

Let D ≥ 3 and let B be a connected boundary graph of the quartic melonic model, B ∈ FeynD(ϕ4

m,D) = Grph∐,cl D

. Let s = y1, where B∗(X) = (y1, . . . , yk) for any X ∈ Fk(B),D. The (2k)-point Schwinger-Dyson equation corresponding to B is

  • 1 + 2λ

Es

D

a=1∑ qˆ

a

G(2)

. . . (sa, qˆ

a)

  • G(2k)

B

(X) (1) = (−2λ) Es

D

a=1

ˆ σ∈Autc(B)

σ∗f(a)

B,sa(X) + ∑ ρ>1

1 E(yρ

a, sa)

Z−1 ∂Z[J, J] ∂ςa(B; 1, ρ)(X) − ∑

ba

1 E(sa, ba)

  • G(2k)

B

(X) − G(2k)

B

(X|sa→ba)

  • for all X ∈ FD,k(B). Here saqa = (q1, q2, . . . , qa−1, sa, qa+1, . . . , qD).
  • C. I. P´

erez S´ anchez (Math. M¨ unster) Schwinger-Dyson equations 23 June 22 / 30

slide-42
SLIDE 42

A simple quartic model A simple quartic model

Proposal of a model with V[ϕ, ¯ ϕ] = λ · 1

1

S0[ϕ, ¯ ϕ] = Tr2( ¯ ϕ, Eϕ) = ∑

x∈Z3

¯ ϕx(m2 + |x|2)ϕx , |x|2 = x2

1 + x2 2 + x2 3,

The boundary sector is determined by: ∂ Feyn3( 1

1) = {B ∈ Grph∐ 3 : B has connected components in Θ}

being Θ =

  • ,

1 1 ,

1

,

1 ,

1 ,

1

, . . .

  • .

Let X2k be the graph in Θ with 2k vertices, and G(2k) = G(2k)

X2k :

G(2) = G(2), G(4) = G(4)

1 1, G(6) = G(6) 1 , G(8) = G(8)

1 , G(10) = G(10)

1 .

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Schwinger-Dyson equations 23 June 23 / 30

slide-43
SLIDE 43

Preparing the SDEs Autc(X2k) = Zk

1

. . .

x1 y1 xk yρ

1

. . .

x1 y1 xk yρ

so ς1(X2k; 1, ρ) = X2ρ−2 ⊔ X2k−2ρ+2 Y(1)

s1 [J, ¯

J] =

k=0

f2k,s1 ⋆ J(X2k) +

C disconnected

f(1)

C,s1 ⋆ J(C)

f2,s1 = 1 2

2

r=1

  • ∆s1,rG(4)

| | | + ∆s1,rG(4)

f2k,s1 = 1 k ∆s1,1G(2k+2)

| |X2k| +

1 k + 1

k

r=1

∆s1,rG(2k+2), for k ≥ 2 .

  • C. I. P´

erez S´ anchez (Math. M¨ unster) Schwinger-Dyson equations 23 June 24 / 30

slide-44
SLIDE 44

Schwinger-Dyson equations (S3-geometries)

Let B be a connected boundary graph of the quartic model with 2k vertices (k ≥ 1), B ∈ Feyn3( 1

1). Let s = y1 = (x1 1, xr 2, xr 3), where

(X2k)∗(X) = (y1, . . . , yk), X ∈ F3,k . The (2k)-point Schwinger-Dyson equation corresponding to B is

  • 1 +

2λ m2 + |s|2 ∑

q,p ∈Z

G(2)(s1, q, p)

  • · G(2k)(X)

= 2λ m2 + |s|2

  • δ1,k

2λ − ∑

ˆ σ∈Zk

σ∗f2k,s1(X) − ∑

ρ>1

Z−1 [(yρ

1)2 − s2 1] ·

∂Z[J, J] ∂ς1(X2k; 1, ρ)(X) + ∑

q∈Z

1 s2

1 − q2

  • G(2k)(X) − G(2k)(X|s1→q)
  • .
  • C. I. P´

erez S´ anchez (Math. M¨ unster) Schwinger-Dyson equations 23 June 25 / 30

slide-45
SLIDE 45

The exact 2-point equation for the 1

1-model is given, for any

x = (x1, x2, x3) ∈ Z3, by

  • 1 +

2λ m2 + |x|2 ∑

q,p ∈Z

G(2)(x1, q, p)

  • · G(2)(x)

(2) = 1 m2 + |x|2 + (−2λ) m2 + |x|2

p,q∈Z

G(4)

| | |(x1, q, p, x) + G(4)(x, x)

− ∑

q∈Z

1 x2

1 − q2

  • G(2)(x1, x2, x3) − G(2)(q, x2, x3)
  • .

whose melonic (‘planar’) limit is (conjecturally, expected to be)

  • m2 + |x|2 + 2λ ∑

q,p ∈Z

G(2)

mel(x1, q, p)

  • · G(2)

mel(x)

(3) = 1 + 2λ ∑

q∈Z

1 x2

1 − q2

  • G(2)

mel(x1, x2, x3) − G(2) mel(q, x2, x3)

  • .
  • C. I. P´

erez S´ anchez (Math. M¨ unster) Schwinger-Dyson equations 23 June 26 / 30

slide-46
SLIDE 46

The higher multipoint functions satisfy:

  • 1 +

2λ m2 + |s|2 ∑

q,p ∈Z

G(2)(x1

1, q, p)

  • · G(2k)(x1, . . . , xk)

= (−2λ) m2 + |s|2

  • k

l=1

1 k ∑

p,q∈Z

G(2k+2)

| |X2k|(x1 1, q, p; x1+l, . . . , xk+l)

(4) + 1 k + 1

k

r=1

G(2k+2)(x1+l, x2+l, . . . , xr+l−1, x1

1, xr+l−1 2

, xr+l−1

2

, xr+l, . . . , xk+l)

  • +

k

ρ=2

1 [(xρ

1)2 − (x1 1)2]

  • G(2ρ−2)(x1, . . . , xρ−1) · G(2k−2ρ+2)(xρ, . . . , xk)
  • − ∑

q∈Z

G(2k)(x1

1, x1 2, x1 3, x2, . . . , xk) − G(2k)(q, x1 2, x1 3, x2, . . . , xk)

(x1

1)2 − q2

  • .
  • C. I. P´

erez S´ anchez (Math. M¨ unster) Schwinger-Dyson equations 23 June 27 / 30

slide-47
SLIDE 47

The exact 2k-equation (melonic limit, conjecturally)

  • 1 +

2λ m2 + |s|2 ∑

q,p ∈Z

G(2)

mel(x1 1, q, p)

  • · G(2k)

mel (x1, . . . , xk)

(5) = (−2λ) m2 + |s|2

  • k

ρ=2

1 (xρ

1)2 − (x1 1)2

  • G(2ρ−2)

mel

(x1, . . . , xρ−1) · G(2k−2ρ+2)

mel

(xρ, . . . , xk)

  • − ∑

q∈Z

G(2k)

mel (x1 1, x1 2, x1 3, x2, . . . , xk) − G(2k) mel (q, x1 2, x1 3, x2, . . . , xk)

(x1

1)2 − q2

  • .
  • C. I. P´

erez S´ anchez (Math. M¨ unster) Schwinger-Dyson equations 23 June 28 / 30

slide-48
SLIDE 48

Conclusions & outlook Conclusions & outlook

(Coloured) tensor field theories [Ben Geloun, Bonzom, Carrozza, Gur˘

au, Krajewski, Oriti, Ousmane-Samary, Rivasseau, Ryan, Tanasa, Vignes-Tourneret,. . .] provide a

framework for 3 ≤ D-dimensional random geometry

◮ A bordism interpretation of the correlation functions was given ◮ A new Ward-Takahashi identity [C.P.] (bare parameters) based that

for matrix models has been found

⋆ non-perturbative ⋆ universal: same for each interaction vertices ⋆ full (information has been recovered) ⋆ provides a method to systematically obtain exact equations for

correlation functions

◮ It has been used to derive the full tower of SDE [C.P.-Wulkenhaar]

Outlook: Apply these techniques for SYK-like [Sachdev-Ye-Kitaev] models

[Witten]

  • C. I. P´

erez S´ anchez (Math. M¨ unster) The full WTI for tensor models 23 June 29 / 30

slide-49
SLIDE 49

References References

  • M. Disertori, R. Gur˘

au, J. Magnen, and

  • V. Rivasseau.
  • Phys. Lett., B649:95–102, 2007.

arXiv:hep-th/0612251.

  • H. Grosse and R. Wulkenhaar
  • Commun. Math. Phys. 329 (2014) 1069

arXiv:1205.0465 [math-ph].

  • R. Gur˘

au,

  • Commun. Math. Phys. 304, 69 (2011)

arXiv:0907.2582 [hep-th] .

  • C. I. P´

erez-S´ anchez, R. Wulkenhaar arXiv:1706.07358

  • C. I. P´

erez-S´ anchez. arXiv:1608.08134 and arXiv:1608.00246

  • E. Witten

arXiv:1610.09758v2 [hep-th]. Thank you for your attention!