Toeplitz determinants in Mathematical Physics Alberto Ibort fest, - - PowerPoint PPT Presentation

toeplitz determinants in mathematical physics
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Toeplitz determinants in Mathematical Physics Alberto Ibort fest, - - PowerPoint PPT Presentation

Fernando Falceto Theoretical Physics Department. Universidad de Zaragoza Toeplitz determinants in Mathematical Physics Alberto Ibort fest, ICMAT, Madrid, March 5-9, 2018. In collaboration with: Filiberto Ares Jos e G. Esteve Amilcar de


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SLIDE 1

Fernando Falceto

Theoretical Physics Department. Universidad de Zaragoza

Toeplitz determinants in Mathematical Physics

Alberto Ibort fest, ICMAT, Madrid, March 5-9, 2018.

In collaboration with: Filiberto Ares Jos´ e G. Esteve Amilcar de Queiroz

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SLIDE 2

Aim of the talk

◮ We review the main steps in our progress towards the

understanding of Toeplitz determinants.

◮ We discuss connections of the latter with physics, namely: the

Ising model and entanglement entropy of fermionic chains.

◮ We emphasize the impulse that physics has given to the

development of the theory.

◮ Finally we present new results and conjectures on the subject.

2 / 32

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SLIDE 3

Aim of the talk

◮ We review the main steps in our progress towards the

understanding of Toeplitz determinants.

◮ We discuss connections of the latter with physics, namely: the

Ising model and entanglement entropy of fermionic chains.

◮ We emphasize the impulse that physics has given to the

development of the theory.

◮ Finally we present new results and conjectures on the subject.

2 / 32

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SLIDE 4

Aim of the talk

◮ We review the main steps in our progress towards the

understanding of Toeplitz determinants.

◮ We discuss connections of the latter with physics, namely: the

Ising model and entanglement entropy of fermionic chains.

◮ We emphasize the impulse that physics has given to the

development of the theory.

◮ Finally we present new results and conjectures on the subject.

2 / 32

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SLIDE 5

Aim of the talk

◮ We review the main steps in our progress towards the

understanding of Toeplitz determinants.

◮ We discuss connections of the latter with physics, namely: the

Ising model and entanglement entropy of fermionic chains.

◮ We emphasize the impulse that physics has given to the

development of the theory.

◮ Finally we present new results and conjectures on the subject.

2 / 32

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SLIDE 6

Aim of the talk

Based on:

  • P. Deift, A. Its, I. Krasovsky, Comm.Pure Appl.Math. 66. arXiv:1207.4990
  • F. Ares, J. G. Esteve, F. F., Phys. Rev. A 90, (2014)
  • F. Ares, J. G. Esteve, F. F., A. R. de Queiroz, J. Stat. Mech. 063104, (2017)
  • F. Ares, J. G. Esteve, F. F., A. R. de Queiroz, arXiv:1801.07043, (2018)

◮ We review the main steps in our progress towards the

understanding of Toeplitz determinants.

◮ We discuss connections of the latter with physics, namely: the

Ising model and entanglement entropy of fermionic chains.

◮ We emphasize the impulse that physics has given to the

development of the theory.

◮ Finally we present new results and conjectures on the subject.

2 / 32

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SLIDE 7

Toeplitz matrices (Toeplitz 1907)

Symbol f : S1 → C, f ∈ L1 tk = 1 2π π

−π

f(θ)e−ikθdθ

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SLIDE 8

Toeplitz matrices (Toeplitz 1907)

Symbol f : S1 → C, f ∈ L1 tk = 1 2π π

−π

f(θ)e−ikθdθ Toeplitz Matrix with symbol f: Tn(f) =                  t0 t−1 t−2 · · · · · · · · · · · · t1−n t1 t0 t−1 t−2 . . . t2 t1 t0 t−1 ... . . . . . . t2 ... ... ... ... . . . . . . ... ... ... ... t−2 . . . . . . ... t1 t0 t−1 t−2 . . . t2 t1 t0 t−1 tn−1 · · · · · · · · · · · · t2 t1 t0                 

3 / 32

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SLIDE 9

Toeplitz determinant

Introduce the Toeplitz determinant with symbol f Dn(f) = det Tn(f)

4 / 32

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SLIDE 10

Toeplitz determinant

Introduce the Toeplitz determinant with symbol f Dn(f) = det Tn(f) Szeg˝

  • theorem (1915):

For f : S1 → R+ continuous and [f] = exp 1 2π π

−π

log f(θ)dθ

  • lim

n→∞(Dn(f))1/n = [f]

4 / 32

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SLIDE 11

Toeplitz determinant

Introduce the Toeplitz determinant with symbol f Dn(f) = det Tn(f) Szeg˝

  • theorem (1915):

For f : S1 → R+ continuous and [f] = exp 1 2π π

−π

log f(θ)dθ

  • lim

n→∞(Dn(f))1/n = [f]

Our cooperation started from a conjecture which I found. It was about a determinant considered by Toeplitz and others, formed with the Fourier-coefficients of a function f (x). I had no proof, but I published the conjecture and the young Szeg˝

  • found the proof...
  • G. P´
  • lya, Mathematische Annalen, 1915

4 / 32

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SLIDE 12

Toeplitz determinant

Introduce the Toeplitz determinant with symbol f Dn(f) = det Tn(f) Szeg˝

  • theorem (1915):

For f : S1 → R+ continuous and [f] = exp 1 2π π

−π

log f(θ)dθ

  • lim

n→∞(Dn(f))1/n = [f]

In other words Dn(f) [f]n = eo(n)

4 / 32

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SLIDE 13

Toeplitz determinant

Introduce the Toeplitz determinant with symbol f Dn(f) = det Tn(f) Szeg˝

  • theorem (1915):

For f : S1 → R+ continuous and [f] = exp 1 2π π

−π

log f(θ)dθ

  • lim

n→∞(Dn(f))1/n = [f]

In other words Dn(f) [f]n = eo(n) Can we say something about o(n)?

4 / 32

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SLIDE 14

Toeplitz determinant

Szeg˝

  • Strong limit theorem (Szeg˝
  • 1952, Johanson 1988):

Let f : S1 → C, with log f ∈ L1, call sk = 1 2π π

−π

log f(θ)e−ikθdθ Hence if

  • k=−∞

|k||sk|2 < ∞ lim

n→∞

Dn(f) ens0 = e

k=1 ksks−k 5 / 32

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SLIDE 15

Toeplitz determinant

Szeg˝

  • Strong limit theorem (Szeg˝
  • 1952, Johanson 1988):

Let f : S1 → C, with log f ∈ L1, call sk = 1 2π π

−π

log f(θ)e−ikθdθ Hence if

  • k=−∞

|k||sk|2 < ∞ lim

n→∞

Dn(f) ens0 = e

k=1 ksks−k

Comparing with previous slide, o(n) =

  • k=1

ksks−k + o(1)

5 / 32

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SLIDE 16

Toeplitz determinant

Szeg˝

  • Strong limit theorem (Szeg˝
  • 1952, Johanson 1988):

Let f : S1 → C, with log f ∈ L1, call sk = 1 2π π

−π

log f(θ)e−ikθdθ Hence if

  • k=−∞

|k||sk|2 < ∞ lim

n→∞

Dn(f) ens0 = e

k=1 ksks−k

Comparing with previous slide, o(n) =

  • k=1

ksks−k + o(1) What if

  • k=−∞

|k||sk|2 = ∞ ?

5 / 32

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SLIDE 17

Ising model in two dimensions (σx,y)

Kaufman and Onsager (1949) σ0,0σn,n = Dn(fIs) fIs = eiArgφ, φ(θ) = 1 − Aeiθ, with A = (sinh

2J kBT )−2.

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SLIDE 18

Ising model in two dimensions (σx,y)

Kaufman and Onsager (1949) σ0,0σn,n = Dn(fIs) fIs = eiArgφ, φ(θ) = 1 − Aeiθ, with A = (sinh

2J kBT )−2.

T < Tc T = Tc T > Tc

φ(θ) φ(θ) φ(θ)

−π −π −π π π π

A < 1 A = 1 A > 1

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SLIDE 19

Ising model, T < Tc (A < 1).

φ(θ) −i log fIs π/2 −π π −π/2

For A < 1, log fIs ∈ C1+ǫ ⇒ ∞

k=−∞ |k||sk|2 < ∞

⇒ ⇒ Szeg˝

  • Strong Limit Theorem applies.

7 / 32

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SLIDE 20

Ising model, T < Tc (A < 1).

φ(θ) −i log fIs π/2 −π π −π/2

For A < 1, log fIs ∈ C1+ǫ ⇒ ∞

k=−∞ |k||sk|2 < ∞

⇒ ⇒ Szeg˝

  • Strong Limit Theorem applies.

Hence lim

n→∞

Dn(fIs) ens0 = e

k=1 ksks−k

with s0 = 0, sk = −A|k| 2k ,

  • k=1

ksks−k = 1 4 log(1 − A2)

7 / 32

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SLIDE 21

Ising model, T < Tc (A < 1).

φ(θ) −i log fIs π/2 −π π −π/2

Then lim

n→∞σ0,0σn,n = lim n→∞ Dn(fIs) =

= e

k=1 ksks−k = (1 − A2)1/4.

From which we derive the spontaneous magnetization M0 = lim

n→∞σ0,0σn,n1/2 = (1 − A2)1/8

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SLIDE 22

Ising model, T < Tc (A < 1).

φ(θ) −i log fIs π/2 −π π −π/2 ...and lo and below I found it. It was a general formula for the evaluation

  • f Toeplitz matrices. The only thing I did not know was how to fill out

the holes in the mathematics and show the epsilons and deltas and all that... ...the mathematicians got there first...

  • L. Onsager, 1971.

M0 = lim

n→∞σ0,0σn,n1/2 = (1 − A2)1/8

8 / 32

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SLIDE 23

Ising model, T = Tc (A = 1).

φ(θ) −i log fIs π/2 −π π −π/2

fIs has jumps, sk = − 1 2k ⇒

  • k=−∞

|k||sk|2 = ∞

9 / 32

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SLIDE 24

Ising model, T = Tc (A = 1).

φ(θ) −i log fIs π/2 −π π −π/2

fIs has jumps, sk = − 1 2k ⇒

  • k=−∞

|k||sk|2 = ∞ f(θ) = eV (θ)

R

  • r=1

|eiθ − eiθr|2αr

R

  • r=1

gβr (θ − θr), θ, θr ∈ (−π, π]

  • V (θ) periodic and smooth enough,

gβ(θ) = ei(θ−π sgn(θ))β

9 / 32

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SLIDE 25

Ising model, T = Tc (A = 1).

φ(θ) −i log fIs π/2 −π π −π/2

fIs has jumps, sk = − 1 2k ⇒

  • k=−∞

|k||sk|2 = ∞ f(θ) = eV (θ)

R

  • r=1

|eiθ − eiθr|2αr

R

  • r=1

gβr (θ − θr), θ, θr ∈ (−π, π]

  • V (θ) periodic and smooth enough,

gβ(θ) = ei(θ−π sgn(θ))β

  • f has zeros and/or jump discontinuities at θ = θr, r = 1, . . . , R.

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SLIDE 26

Ising model, T = Tc (A = 1).

φ(θ) −i log fIs π/2 −π π −π/2

fIs has jumps, sk = − 1 2k ⇒

  • k=−∞

|k||sk|2 = ∞ f(θ) = eV (θ)

R

  • r=1

|eiθ − eiθr|2αr

R

  • r=1

gβr (θ − θr), θ, θr ∈ (−π, π]

  • V (θ) periodic and smooth enough,

gβ(θ) = ei(θ−π sgn(θ))β

  • f has zeros and/or jump discontinuities at θ = θr, r = 1, . . . , R.

fIs = g1/2

9 / 32

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SLIDE 27

Ising model, T = Tc (A = 1).

Fisher-Hartwig conjecture (1968), Lenard (1964), Wu (1966). For f(θ) = eV (θ) R

r=1 |eiθ − eiθr|2αr R r=1 gβr (θ − θr)

One has: Dn(f) = enV0 n

R

r=1(α2 r−β2 r) E(f)(1 + o(1)) 10 / 32

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SLIDE 28

Ising model, T = Tc (A = 1).

Fisher-Hartwig conjecture (1968), Lenard (1964), Wu (1966). For f(θ) = eV (θ) R

r=1 |eiθ − eiθr|2αr R r=1 gβr (θ − θr)

One has: Dn(f) = enV0 n

R

r=1(α2 r−β2 r) E(f)(1 + o(1))

E(f) = E(eV )

R

  • r=1
  • b+(eiθr)βr−αrb−(eiθr)−βr−αr

×

  • r=r′
  • |eiθr − eiθr′ |βrβr′−αrαr′ gαrβr′ (θr′ − θr)
  • ×

R

  • r=1

G(1 + αr + βr)G(1 + αr − βr) G(1 + 2αr) Widom (1972, βr = 0), Basor (1978), Ehrhardt (2001).

10 / 32

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SLIDE 29

Ising model, T = Tc (A = 1).

Fisher-Hartwig conjecture (1968), Lenard (1964), Wu (1966). For f(θ) = eV (θ) R

r=1 |eiθ − eiθr|2αr R r=1 gβr (θ − θr)

One has: Dn(f) = enV0 n

R

r=1(α2 r−β2 r) E(f)(1 + o(1))

E(f) = E(eV )

R

  • r=1
  • b+(eiθr)βr−αrb−(eiθr)−βr−αr

×

  • r=r′
  • |eiθr − eiθr′ |βrβr′−αrαr′ gαrβr′ (θr′ − θr)
  • ×

R

  • r=1

G(1 + αr + βr)G(1 + αr − βr) G(1 + 2αr) V (θ) =

  • k=−∞

Vkeikθ, E(eV ) = e

k=1 kVkV−k

10 / 32

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SLIDE 30

Ising model, T = Tc (A = 1).

Fisher-Hartwig conjecture (1968), Lenard (1964), Wu (1966). For f(θ) = eV (θ) R

r=1 |eiθ − eiθr|2αr R r=1 gβr (θ − θr)

One has: Dn(f) = enV0 n

R

r=1(α2 r−β2 r) E(f)(1 + o(1))

E(f) = E(eV )

R

  • r=1
  • b+(eiθr)βr−αrb−(eiθr)−βr−αr

×

  • r=r′
  • |eiθr − eiθr′ |βrβr′−αrαr′ gαrβr′ (θr′ − θr)
  • ×

R

  • r=1

G(1 + αr + βr)G(1 + αr − βr) G(1 + 2αr) b+(z) = e

k=1 Vkzk, b−(z) = e

k=1 V−kz−k

10 / 32

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SLIDE 31

Ising model, T = Tc (A = 1).

Fisher-Hartwig conjecture (1968), Lenard (1964), Wu (1966). For f(θ) = eV (θ) R

r=1 |eiθ − eiθr|2αr R r=1 gβr (θ − θr)

One has: Dn(f) = enV0 n

R

r=1(α2 r−β2 r) E(f)(1 + o(1))

E(f) = E(eV )

R

  • r=1
  • b+(eiθr)βr−αrb−(eiθr)−βr−αr

×

  • r=r′
  • |eiθr − eiθr′ |βrβr′−αrαr′ gαrβr′ (θr′ − θr)
  • ×

R

  • r=1

G(1 + αr + βr)G(1 + αr − βr) G(1 + 2αr) G(z) = Barnes function, G(z + 1) = Γ(z)G(z), G(1 − m) = 0, m ∈ Z+.

10 / 32

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SLIDE 32

Ising model, T = Tc (A = 1).

Fisher-Hartwig conjecture (1968), Lenard (1964), Wu (1966). For f(θ) = eV (θ) R

r=1 |eiθ − eiθr|2αr R r=1 gβr (θ − θr)

One has: Dn(f) = enV0 n

R

r=1(α2 r−β2 r) E(f)(1 + o(1))

E(f) = E(eV )

R

  • r=1
  • b+(eiθr)βr−αrb−(eiθr)−βr−αr

×

  • r=r′
  • |eiθr − eiθr′ |βrβr′−αrαr′ gαrβr′ (θr′ − θr)
  • ×

R

  • r=1

G(1 + αr + βr)G(1 + αr − βr) G(1 + 2αr) Ising model at Tc: V = 0, α = 0, β = 1/2 ⇒ ⇒ σ0,0σn,n = Dn(f) = G(3/2)G(1/2) n1/4 (1 + o(1))

10 / 32

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SLIDE 33

Ising model, T > Tc (A > 1).

φ(θ) −i log fIs 2π π −π π

fIs(θ) = ˜ f(θ)eiθ, log ˜ f smooth β = 1 ⇒ G(1 − β) = 0 ⇒ E(fIs) = 0 ⇒ F-H do not apply.

11 / 32

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SLIDE 34

Ising model, T > Tc (A > 1).

φ(θ) −i log fIs 2π π −π π

fIs(θ) = ˜ f(θ)eiθ, log ˜ f smooth β = 1 ⇒ G(1 − β) = 0 ⇒ E(fIs) = 0 ⇒ F-H do not apply. Dn(fIs) = pn(0)Dn( ˜ f)

pn(z) = zn + . . . , s. t. π

−π

pn(e−iθ)eimθ ˜ f(θ)dθ = 0, 0 ≤ m < n.

11 / 32

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SLIDE 35

Ising model, T > Tc (A > 1).

φ(θ) −i log fIs 2π π −π π

fIs(θ) = ˜ f(θ)eiθ, log ˜ f smooth β = 1 ⇒ G(1 − β) = 0 ⇒ E(fIs) = 0 ⇒ F-H do not apply. Dn(fIs) = pn(0)Dn( ˜ f)

pn(z) = zn + . . . , s. t. π

−π

pn(e−iθ)eimθ ˜ f(θ)dθ = 0, 0 ≤ m < n.

σ0,0σn,n = Dn(fIs) = π1/2 (1 − A−2)1/4 A−n n1/2 (1 + o(1)), A > 1

11 / 32

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SLIDE 36

Fermionic chain

H = (C2)⊗N, {ai, a†

j} = δij,

{ai, aj} = {a†

i, a† j} = 0.

12 / 32

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SLIDE 37

Fermionic chain

H = (C2)⊗N, {ai, a†

j} = δij,

{ai, aj} = {a†

i, a† j} = 0.

Quadratic, periodic, translational and parity invariant Hamiltonian H = 1 2

N

  • i=1

L

  • l=−L
  • 2Ala†

iai+l + Bla† ia† i+l − Blaiai+l

  • Al, Bl ∈ R

12 / 32

slide-38
SLIDE 38

Fermionic chain

H = (C2)⊗N, {ai, a†

j} = δij,

{ai, aj} = {a†

i, a† j} = 0.

Quadratic, periodic, translational and parity invariant Hamiltonian H = 1 2

N

  • i=1

L

  • l=−L
  • 2Ala†

iai+l + Bla† ia† i+l − Blaiai+l

  • Al, Bl ∈ R

=

N−1

  • k=0

Λ(θk) d†

kdk,

Bogoliubov modes. Λ(θ) =

  • Θ(eiθ)2 − Ξ(eiθ)2,

Θ(z) = L

−L Alzl

Ξ(z) = L

−L Blzl.

12 / 32

slide-39
SLIDE 39

Fermionic chain

H = (C2)⊗N, {ai, a†

j} = δij,

{ai, aj} = {a†

i, a† j} = 0.

Quadratic, periodic, translational and parity invariant Hamiltonian H = 1 2

N

  • i=1

L

  • l=−L
  • 2Ala†

iai+l + Bla† ia† i+l − Blaiai+l

  • Al, Bl ∈ R

=

N−1

  • k=0

Λ(θk) d†

kdk,

Bogoliubov modes. Λ(θ) =

  • Θ(eiθ)2 − Ξ(eiθ)2,

Θ(z) = L

−L Alzl

Ξ(z) = L

−L Blzl.

Ground state: dk |GS = 0

12 / 32

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SLIDE 40

Entanglement entropy.

  • X

Y

H = HX ⊗ HY

  • Introduce the reduced density matrix

ρX = TrHY (|GS GS|).

  • The R´

enyi entanglement entropy is given by Sα(X) = 1 1 − α log Tr(ρα

X)

13 / 32

slide-41
SLIDE 41

Entanglement entropy.

  • X

Y

H = HX ⊗ HY

  • Introduce the reduced density matrix

ρX = TrHY (|GS GS|).

  • The R´

enyi entanglement entropy is given by Sα(X) = 1 1 − α log Tr(ρα

X)

13 / 32

slide-42
SLIDE 42

Entanglement entropy.

  • X

Y

H = HX ⊗ HY

  • Introduce the reduced density matrix

ρX = TrHY (|GS GS|).

  • The R´

enyi entanglement entropy is given by Sα(X) = 1 1 − α log Tr(ρα

X)

13 / 32

slide-43
SLIDE 43

Block Toeplitz matrix

Wick decomposition holds and Sα(X) can be obtained from the correlation matrix VX (VX)ij =

  • GS
  • ai

a†

i

  • , (a†

j, aj)

  • GS
  • ,

i, j ∈ X. In the thermodynamic limit (VX)ij = 1 2πi π

−π

M(θ)eiθ(i−j)dθ. A block Toeplitz matrix Tn(M) with 2 × 2 symbol M(θ) = M(eiθ) where M(z) = Θ(z) Ξ(z) −Ξ(z) −Θ(z)

  • Ξ(z)2 − Θ(z)2

14 / 32

slide-44
SLIDE 44

Block Toeplitz matrix

  • Szeg˝
  • Theorem for block Toeplitz matrices (Gyires, 1956)

lim

n→∞

1 n log Dn(M) = 1 2π π

−π

log det M(θ)dθ

15 / 32

slide-45
SLIDE 45

Block Toeplitz matrix

  • Szeg˝
  • Theorem for block Toeplitz matrices (Gyires, 1956)

lim

n→∞

1 n log Dn(M) = 1 2π π

−π

log det M(θ)dθ In our case det M(θ) = 1 and the limit is 0, o(n) corrections?

15 / 32

slide-46
SLIDE 46

Block Toeplitz matrix

  • Szeg˝
  • Theorem for block Toeplitz matrices (Gyires, 1956)

lim

n→∞

1 n log Dn(M) = 1 2π π

−π

log det M(θ)dθ In our case det M(θ) = 1 and the limit is 0, o(n) corrections?

  • Widom Theorem, 1974: For smooth enough M(θ)

log Dn(M) − n 2π π

−π

log det M(θ)dθ = log det

  • T(M)T(M−1)
  • (1 + o(1))

15 / 32

slide-47
SLIDE 47

Block Toeplitz matrix

  • Szeg˝
  • Theorem for block Toeplitz matrices (Gyires, 1956)

lim

n→∞

1 n log Dn(M) = 1 2π π

−π

log det M(θ)dθ In our case det M(θ) = 1 and the limit is 0, o(n) corrections?

  • Widom Theorem, 1974: For smooth enough M(θ)

log Dn(M) − n 2π π

−π

log det M(θ)dθ = log det

  • T(M)T(M−1)
  • (1 + o(1))

It is hard to compute.

  • It can be mapped into a Riemann-Hilbert problem.
  • And can be solved for the non critical fermionic chain.

(Its, Jin, Korepin, 2007; Its, Mezzadri, Mo, 2008).

15 / 32

slide-48
SLIDE 48

Non critical theories (Λ(θ) > 0)

M(z) = Θ(z) Ξ(z) −Ξ(z) −Θ(z)

  • Ξ(z)2 − Θ(z)2
  • M: Meromorphic in a

two-sheeted cover of the Riemann sphere with branch points at the zeros and poles of Ξ(z) + Θ(z) Ξ(z) − Θ(z) .

  • z

z z z z |z|=1 z1

2 3

z4

5

z6

7 8

L=2 g=3 z pole zero

16 / 32

slide-49
SLIDE 49

Non critical theories (Λ(θ) > 0)

M(z) = Θ(z) Ξ(z) −Ξ(z) −Θ(z)

  • Ξ(z)2 − Θ(z)2
  • M: Meromorphic in a

two-sheeted cover of the Riemann sphere with branch points at the zeros and poles of Ξ(z) + Θ(z) Ξ(z) − Θ(z) .

  • z

z z z z |z|=1 z1

2 3

z4

5

z6

7 8

L=2 g=3 z pole zero

  • They are related by

inversion and conjugation, e.g. z3 = z4 = z−1

6 .

16 / 32

slide-50
SLIDE 50

Non critical theories (Λ(θ) > 0)

M(z) = Θ(z) Ξ(z) −Ξ(z) −Θ(z)

  • Ξ(z)2 − Θ(z)2
  • M: Meromorphic in a

two-sheeted cover of the Riemann sphere with branch points at the zeros and poles of Ξ(z) + Θ(z) Ξ(z) − Θ(z) .

  • z

z z z z |z|=1 z1

2 3

z4

5

z6

7 8

L=2 g=3 z pole zero

  • They are related by

inversion and conjugation, e.g. z3 = z4 = z−1

6 .

  • Assume no degeneracy:

zi = zj ⇒ |zi| = 1.

16 / 32

slide-51
SLIDE 51

Non critical theories (Λ(θ) > 0)

M(z) = Θ(z) Ξ(z) −Ξ(z) −Θ(z)

  • Ξ(z)2 − Θ(z)2
  • M: Meromorphic in a

two-sheeted cover of the Riemann sphere with branch points at the zeros and poles of Ξ(z) + Θ(z) Ξ(z) − Θ(z) .

  • z

z z z z |z|=1 z1

2 3

z4

5

z6

7 8

L=2 g=3 z pole zero

  • They are related by

inversion and conjugation, e.g. z3 = z4 = z−1

6 .

  • Assume no degeneracy:

zi = zj ⇒ |zi| = 1.

  • Riemann surface of genus g = 2L − 1; 4L branch points.

16 / 32

slide-52
SLIDE 52

Non critical theories (Λ(θ) > 0)

ϑ

  • p
  • q
  • (

s) =

  • n∈Zg

eπi(

n+ p)Π·( n+ p)+2πi( s+ q)·( n+ p),

Π: the standard period matrix.

  • z

z z z z |z|=1 z1

2 3

z4

5

z6

7 8

L=2 g=3 z pole zero

ǫ1 = ǫ5 = · · · = 1 ǫ2 = ǫ3 = · · · = −1

17 / 32

slide-53
SLIDE 53

Non critical theories (Λ(θ) > 0)

ϑ

  • p
  • q
  • (

s) =

  • n∈Zg

eπi(

n+ p)Π·( n+ p)+2πi( s+ q)·( n+ p),

Π: the standard period matrix.

  • z

z z z z |z|=1 z1

2 3

z4

5

z6

7 8

L=2 g=3 z pole zero

ǫ1 = ǫ5 = · · · = 1 ǫ2 = ǫ3 = · · · = −1

D(M) ≡ lim

n→∞ Dn(M) =

ϑ

  • µ
  • ν
  • (

e/2) ϑ

  • µ
  • ν
  • (−

e/2) ϑ

  • µ
  • ν
  • (0)2
  • e = (

L−1

  • 0, 0, . . . , 0

L

  • 1, 1, . . . , 1),

µr = 1

4(ǫ2r+1 + ǫ2r+2)

νr = 1

4

2r+1

j=2 ǫj,

r = 1, . . . , 2L − 1. (Ares, Esteve, F.F. , Queiroz, 2017)

17 / 32

slide-54
SLIDE 54

  • bius transformations

z′ = az + b cz + d, a b c d

  • ∈ SL(2, C)

M′(z′) = M(z)

18 / 32

slide-55
SLIDE 55

  • bius transformations

z′ = az + b cz + d, a b c d

  • ∈ SL(2, C)

M′(z′) = M(z)

  • Automorphisms of the Riemann surfaces.
  • Preserve the period matrix Π′ = Π and also ϑ
  • p
  • q
  • (

s)

  • γ

|z|=1 z γ ’ |z |=1 ’

  • Provided γ′ can be

continuously deformed to γ without crossing branch points D(M) = D(M′)

18 / 32

slide-56
SLIDE 56

  • bius transformations

But a physical M¨

  • bius transformation should preserve the relations

between the branch points, e.g z3 = z4 = z−1

6 .

  • z

z z z z |z|=1 z1

2 3

z4

5

z6

7 8

L=2 g=3 z pole zero

It implies that it should commute with inversion and conjugation, equivalently, it should preserve the real line and the unit circle.

19 / 32

slide-57
SLIDE 57

  • bius transformations

But a physical M¨

  • bius transformation should preserve the relations

between the branch points, e.g z3 = z4 = z−1

6 .

  • z

z z z z |z|=1 z1

2 3

z4

5

z6

7 8

L=2 g=3 z pole zero

It implies that it should commute with inversion and conjugation, equivalently, it should preserve the real line and the unit circle. Therefore we are left with transformations in SO(1, 1) ⊂ SL(2, C) z′ = z cosh ζ + sinh ζ z sinh ζ + cosh ζ

19 / 32

slide-58
SLIDE 58

  • bius transformations

SO(1, 1) ⊂ SL(2, C) z′ = z cosh ζ + sinh ζ z sinh ζ + cosh ζ

20 / 32

slide-59
SLIDE 59

  • bius transformations

SO(1, 1) ⊂ SL(2, C) z′ = z cosh ζ + sinh ζ z sinh ζ + cosh ζ Couplings Al, Bl: spin L representation of SL(2, C)         A′

L

. . . A′ . . . A′

−L

        = eζ · (Jx)L         AL . . . A0 . . . A−L         ,         B′

L

. . . B′ . . . B′

−L

        = eζ · (Jx)L         BL . . . B0 . . . B−L         Recall: H = 1 2

N

  • i=1

L

  • l=−L
  • Ala†

iai+l + Bla† ia† i+l − Blaiai+l

  • 20 / 32
slide-60
SLIDE 60

  • bius transformations

SO(1, 1) ⊂ SL(2, C) z′ = z cosh ζ + sinh ζ z sinh ζ + cosh ζ Couplings Al, Bl: spin L representation of SL(2, C)         A′

L

. . . A′ . . . A′

−L

        = eζ · (Jx)L         AL . . . A0 . . . A−L         ,         B′

L

. . . B′ . . . B′

−L

        = eζ · (Jx)L         BL . . . B0 . . . B−L         Recall: H = 1 2

N

  • i=1

L

  • l=−L
  • Ala†

iai+l + Bla† ia† i+l − Blaiai+l

  • D(M) = D(M′)

⇒ Sα = S′

α for |X| → ∞

(Ares, Esteve, F.F. , Queiroz, 2016)

20 / 32

slide-61
SLIDE 61

Critical theories.

When Λ(θr) = 0, M(θ) has a jump discontinuity at θr. Not covered by Widom theorem.

21 / 32

slide-62
SLIDE 62

Critical theories.

When Λ(θr) = 0, M(θ) has a jump discontinuity at θr. Not covered by Widom theorem.

  • In the scalar case we can apply the Fisher-Hartwig conjecture:

f piece wise smooth, lateral limits fr− and fr+ at discontinuity θr. log Dn(f) = s0n + 1 4π2

R

  • r=1

log (fr+/fr−)2 log n + O(1)

21 / 32

slide-63
SLIDE 63

Critical theories.

When Λ(θr) = 0, M(θ) has a jump discontinuity at θr. Not covered by Widom theorem.

  • In the scalar case we can apply the Fisher-Hartwig conjecture:

f piece wise smooth, lateral limits fr− and fr+ at discontinuity θr. log Dn(f) = s0n + 1 4π2

R

  • r=1

log (fr+/fr−)2 log n + O(1)

  • When the symbol is a matrix M with jumps at θr a similar

expression holds: (Ares, Esteve, F., Queiroz, 2018) log Dn(M) = s0n + 1 4π2

R

  • r=1

Tr

  • log
  • Mr+(Mr−)−12 log n + O(1)

s0 = 1 2π π

−π

log det M(θ)dθ, Mr± = lim

θ→θ±

r

M(θ)

21 / 32

slide-64
SLIDE 64

Sublogarithmic scaling

Back to the scalar symbol f : S1 → C. For piecewise smooth f(θ) with geometric average 1 (s0 = 0) log Dn(f) = c log n + O(1).

22 / 32

slide-65
SLIDE 65

Sublogarithmic scaling

Back to the scalar symbol f : S1 → C. For piecewise smooth f(θ) with geometric average 1 (s0 = 0) log Dn(f) = c log n + O(1). Is it possible to have log Dn(f) = c (log n)µ + O(1), 0 < µ < 1

  • r

log Dn(f) = c log log n + O(1) ?

22 / 32

slide-66
SLIDE 66

Sublogarithmic scaling

Back to the scalar symbol f : S1 → C. For piecewise smooth f(θ) with geometric average 1 (s0 = 0) log Dn(f) = c log n + O(1). Is it possible to have log Dn(f) = c (log n)µ + O(1), 0 < µ < 1

  • r

log Dn(f) = c log log n + O(1) ? Motivation:

  • For fun.

22 / 32

slide-67
SLIDE 67

Sublogarithmic scaling

Back to the scalar symbol f : S1 → C. For piecewise smooth f(θ) with geometric average 1 (s0 = 0) log Dn(f) = c log n + O(1). Is it possible to have log Dn(f) = c (log n)µ + O(1), 0 < µ < 1

  • r

log Dn(f) = c log log n + O(1) ? Motivation:

  • For fun.
  • It is a challenge.

22 / 32

slide-68
SLIDE 68

Sublogarithmic scaling

Back to the scalar symbol f : S1 → C. For piecewise smooth f(θ) with geometric average 1 (s0 = 0) log Dn(f) = c log n + O(1). Is it possible to have log Dn(f) = c (log n)µ + O(1), 0 < µ < 1

  • r

log Dn(f) = c log log n + O(1) ? Motivation:

  • For fun.
  • It is a challenge.
  • Anomalous scaling in non unitary conformal field theories.

22 / 32

slide-69
SLIDE 69

Sublogarithmic scaling

  • 3
  • 2
  • 1

1 2 3

  • 0.5

0.5

Consider the family of functions

ν = 0.25

log fν(θ) = cos(θ/2) sgn(θ)

  • − log |θ|

ν , θ ∈ (−π, π]

23 / 32

slide-70
SLIDE 70

Sublogarithmic scaling

  • 3
  • 2
  • 1

1 2 3

  • 0.5

0.5

Consider the family of functions

ν = 0.25

log fν(θ) = cos(θ/2) sgn(θ)

  • − log |θ|

ν , θ ∈ (−π, π] sk ∼ 1 πk(log |k|)ν ⇒

  • k=1

|k||sk|2 = ∞ for ν ≤ 0.5

  • Szeg˝
  • strong limit theorem can not be applied.

23 / 32

slide-71
SLIDE 71

Sublogarithmic scaling

  • 3
  • 2
  • 1

1 2 3

  • 0.5

0.5

Consider the family of functions

ν = 0.25

log fν(θ) = cos(θ/2) sgn(θ)

  • − log |θ|

ν , θ ∈ (−π, π] sk ∼ 1 πk(log |k|)ν ⇒

  • k=1

|k||sk|2 = ∞ for ν ≤ 0.5

  • Szeg˝
  • strong limit theorem can not be applied.
  • fν, for ν > 0, is continuous and F-H formula does not apply.

23 / 32

slide-72
SLIDE 72

Sublogarithmic scaling

  • 3
  • 2
  • 1

1 2 3

  • 0.5

0.5

Consider the family of functions

ν = 0.25

log fν(θ) = cos(θ/2) sgn(θ)

  • − log |θ|

ν , θ ∈ (−π, π] sk ∼ 1 πk(log |k|)ν ⇒

  • k=1

|k||sk|2 = ∞ for ν ≤ 0.5

  • Szeg˝
  • strong limit theorem can not be applied.
  • fν, for ν > 0, is continuous and F-H formula does not apply.

We conjecture that there are positive Z(ν) and δ(ν), such that: log Dn(fν) =

⌊n Z⌋

  • k=1

ksks−k + o(n−δ)

23 / 32

slide-73
SLIDE 73

Sublogarithmic scaling

  • log Dn(fν) =

⌊n Z⌋

  • k=1

ksks−k + o(n−δ) implies sublogarithmic scaling:

  • log Dn(fν) =

1 π2(1 − 2ν)(log n)1−2ν + o(1), 0 < ν < 0.5

  • log Dn(f0.5) = 1

π2 log log n + o(1), ν = 0.5

24 / 32

slide-74
SLIDE 74

Sublogarithmic scaling

  • log Dn(fν) =

⌊n Z⌋

  • k=1

ksks−k + o(n−δ) implies sublogarithmic scaling:

  • log Dn(fν) =

1 π2(1 − 2ν)(log n)1−2ν + o(1), 0 < ν < 0.5

  • log Dn(f0.5) = 1

π2 log log n + o(1), ν = 0.5

  • For ν = 0 we reproduce the Fisher-Hartwig formula with

log Z(0) = 2π2 log |G(1 + i/π)| − γE ≈ 0.9424 . . .

24 / 32

slide-75
SLIDE 75

Sublogarithmic scaling

  • log Dn(fν) =

⌊n Z⌋

  • k=1

ksks−k + o(n−δ) implies sublogarithmic scaling:

  • log Dn(fν) =

1 π2(1 − 2ν)(log n)1−2ν + o(1), 0 < ν < 0.5

  • log Dn(f0.5) = 1

π2 log log n + o(1), ν = 0.5

  • For ν = 0 we reproduce the Fisher-Hartwig formula with

log Z(0) = 2π2 log |G(1 + i/π)| − γE ≈ 0.9424 . . .

  • Supported by numerical checks.

24 / 32

slide-76
SLIDE 76

Sublogarithmic scaling

0.2 0.4 0.6 0.8 1 1.2 1.4 20000 40000 60000 80000 100000

log Dn n

1

ν = 0.00, Z = 2.57 ν = 0.05, Z = 2.59 ν = 0.25, Z = 2.66 ν = 0.50, Z = 2.83

  • Dots represent log Dn(fν) for different values of ν and n up to 100 000.
  • The continuous lines are

⌊n Z⌋

  • k=1

ksks−k for every ν and Z from the best fit.

25 / 32

slide-77
SLIDE 77

Sublogarithmic scaling

0.2 0.4 0.6 0.8 1 1.2 1.4 20000 40000 60000 80000 100000

log Dn n

1

ν = 0.00, Z = 2.57 ν = 0.05, Z = 2.59 ν = 0.25, Z = 2.66 ν = 0.50, Z = 2.83

  • Note that adjusting only one free parameter, Z, we obtain an excellent agreement.

25 / 32

slide-78
SLIDE 78

Sublogarithmic scaling

0.4 0.42 0.44 0.46 0.48 0.5 0.52 0.54 0.56 0.58 20000 40000 60000 80000 100000 0.0002 0.0004 0.0006 0.0008 0.001 20000 40000 60000 80000 100000

log Dn n

1

∆(n) = log Dn −

⌊n Z⌋

  • k=1

ksks−k Main plot: log Dn(fν) for ν = 0.25 (dots) and

⌊n Z⌋

  • k=1

ksks−k (continuous line).

26 / 32

slide-79
SLIDE 79

Sublogarithmic scaling

0.4 0.42 0.44 0.46 0.48 0.5 0.52 0.54 0.56 0.58 20000 40000 60000 80000 100000 0.0002 0.0004 0.0006 0.0008 0.001 20000 40000 60000 80000 100000

log Dn n

1

∆(n) = log Dn −

⌊n Z⌋

  • k=1

ksks−k Inset: - crosses are ∆(n), the difference between the real value and the prediction.

  • continuous line is our best fit, ∆(n) ≈ 2.35 × 10−3

n0.186

26 / 32

slide-80
SLIDE 80

Sublogarithmic scaling

We expect this behavior in the entanglement entropy of fermionic chains with long range couplings. H =

N

  • i=1
  • a†

iai+1 + a† i+1ai + h a† iai

  • +2

N

  • i=1

N/2

  • l=1

1 l(log l)ν (a†

ia† i+l − aiai+l).

In this case, we should have Sα(X) = c(log |X|)1−2ν + o(1), for 0 ≤ ν < 0.5 Sα(X) = c log log |X| + o(1), for ν = 0.5

27 / 32

slide-81
SLIDE 81

Several Intervals.

  • Consider now X = (u1, v1) ∪ (u2, v2) ∪ · · · ∪ (uP , vP )

28 / 32

slide-82
SLIDE 82

Several Intervals.

  • Consider now X = (u1, v1) ∪ (u2, v2) ∪ · · · ∪ (uP , vP )

VX = GS| [a†

i, aj] |GS , i, j ∈ X is

not a Toeplitz matrix, but a principal submatrix;

28 / 32

slide-83
SLIDE 83

Several Intervals.

  • Consider now X = (u1, v1) ∪ (u2, v2) ∪ · · · ∪ (uP , vP )

VX = GS| [a†

i, aj] |GS , i, j ∈ X is

not a Toeplitz matrix, but a principal submatrix;

  • e. g. for two intervals VX is the

shaded area of the Toeplitz matrix on the right.

  • 28 / 32
slide-84
SLIDE 84

Several Intervals.

  • Consider now X = (u1, v1) ∪ (u2, v2) ∪ · · · ∪ (uP , vP )

VX = GS| [a†

i, aj] |GS , i, j ∈ X is

not a Toeplitz matrix, but a principal submatrix;

  • e. g. for two intervals VX is the

shaded area of the Toeplitz matrix on the right.

  • The correlation matrix is

VX =

  • 28 / 32
slide-85
SLIDE 85

Several Intervals.

  • Consider now X = (u1, v1) ∪ (u2, v2) ∪ · · · ∪ (uP , vP )

VX = GS| [a†

i, aj] |GS , i, j ∈ X is

not a Toeplitz matrix, but a principal submatrix;

  • e. g. for two intervals VX is the

shaded area of the Toeplitz matrix on the right.

  • The correlation matrix is

VX =

  • Inspired by conformal field theories, we conjecture...

28 / 32

slide-86
SLIDE 86

Several Intervals.

  • ...for the determinant of a principal submatrix of a Toeplitz matrix:

29 / 32

slide-87
SLIDE 87

Several Intervals.

  • ...for the determinant of a principal submatrix of a Toeplitz matrix:

D[

P

  • p=1

(up, vp)] ≃

  • p

D[(up, vp)]

  • p<p′

D[(up, vp′)]D[(vp, up′)] D[(up, up′)]D[(vp, vp′)],

D[X] := detVX

29 / 32

slide-88
SLIDE 88

Several Intervals.

  • ...for the determinant of a principal submatrix of a Toeplitz matrix:

D[

P

  • p=1

(up, vp)] ≃

  • p

D[(up, vp)]

  • p<p′

D[(up, vp′)]D[(vp, up′)] D[(up, up′)]D[(vp, vp′)],

D[X] := detVX

Pictorially, for P = 2:

  • =

29 / 32

slide-89
SLIDE 89

Several Intervals.

  • ...for the determinant of a principal submatrix of a Toeplitz matrix:

D[

P

  • p=1

(up, vp)] ≃

  • p

D[(up, vp)]

  • p<p′

D[(up, vp′)]D[(vp, up′)] D[(up, up′)]D[(vp, vp′)],

D[X] := detVX

Pictorially, for P = 2:

  • =

0.005 0.01 0.015 0.02 0.025 0.03 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

ID y

P = 2, (50, 50) P = 2, (500, 500)

1 y = (u2 − v1)(v2 − u1) (u2 − u1)(v2 − v1)

Remarkable agreement!!! (Ares, Esteve, F., 2014)

29 / 32

slide-90
SLIDE 90

Conclusions

  • We have shown how the theory of Toeplitz determinants has been

boosted by physicists’ demands.

  • We obtained a compact expression for the determinant of the

correlation function of the fermionic chain with finite range coupling.

  • We discussed the role of M¨
  • bius transformations as symmetries of

the Toeplitz determinants and its implications for the fermionic chain.

  • We presented a conjecture on the sublogarithmic scaling of

Toeplitz determinants and showed its numerical accuracy.

  • Based on the results for Conformal Field Theory we have proposed

an asymptotic formula for the determinant of a principal subamtrix

  • f the Toeplitz matrix.

30 / 32

slide-91
SLIDE 91

Conclusions

  • We have shown how the theory of Toeplitz determinants has been

boosted by physicists’ demands.

  • We obtained a compact expression for the determinant of the

correlation function of the fermionic chain with finite range coupling.

  • We discussed the role of M¨
  • bius transformations as symmetries of

the Toeplitz determinants and its implications for the fermionic chain.

  • We presented a conjecture on the sublogarithmic scaling of

Toeplitz determinants and showed its numerical accuracy.

  • Based on the results for Conformal Field Theory we have proposed

an asymptotic formula for the determinant of a principal subamtrix

  • f the Toeplitz matrix.

30 / 32

slide-92
SLIDE 92

Conclusions

  • We have shown how the theory of Toeplitz determinants has been

boosted by physicists’ demands.

  • We obtained a compact expression for the determinant of the

correlation function of the fermionic chain with finite range coupling.

  • We discussed the role of M¨
  • bius transformations as symmetries of

the Toeplitz determinants and its implications for the fermionic chain.

  • We presented a conjecture on the sublogarithmic scaling of

Toeplitz determinants and showed its numerical accuracy.

  • Based on the results for Conformal Field Theory we have proposed

an asymptotic formula for the determinant of a principal subamtrix

  • f the Toeplitz matrix.

30 / 32

slide-93
SLIDE 93

Conclusions

  • We have shown how the theory of Toeplitz determinants has been

boosted by physicists’ demands.

  • We obtained a compact expression for the determinant of the

correlation function of the fermionic chain with finite range coupling.

  • We discussed the role of M¨
  • bius transformations as symmetries of

the Toeplitz determinants and its implications for the fermionic chain.

  • We presented a conjecture on the sublogarithmic scaling of

Toeplitz determinants and showed its numerical accuracy.

  • Based on the results for Conformal Field Theory we have proposed

an asymptotic formula for the determinant of a principal subamtrix

  • f the Toeplitz matrix.

30 / 32

slide-94
SLIDE 94

Conclusions

  • We have shown how the theory of Toeplitz determinants has been

boosted by physicists’ demands.

  • We obtained a compact expression for the determinant of the

correlation function of the fermionic chain with finite range coupling.

  • We discussed the role of M¨
  • bius transformations as symmetries of

the Toeplitz determinants and its implications for the fermionic chain.

  • We presented a conjecture on the sublogarithmic scaling of

Toeplitz determinants and showed its numerical accuracy.

  • Based on the results for Conformal Field Theory we have proposed

an asymptotic formula for the determinant of a principal subamtrix

  • f the Toeplitz matrix.

30 / 32

slide-95
SLIDE 95

Conclusions

  • We have shown how the theory of Toeplitz determinants has been

boosted by physicists’ demands.

  • We obtained a compact expression for the determinant of the

correlation function of the fermionic chain with finite range coupling.

  • We discussed the role of M¨
  • bius transformations as symmetries of

the Toeplitz determinants and its implications for the fermionic chain.

  • We presented a conjecture on the sublogarithmic scaling of

Toeplitz determinants and showed its numerical accuracy.

  • Based on the results for Conformal Field Theory we have proposed

an asymptotic formula for the determinant of a principal subamtrix

  • f the Toeplitz matrix.

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slide-96
SLIDE 96

HAPPY BIRTHDAY ALBERTO

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slide-97
SLIDE 97

  • bius transformations in critical theories: Λ(θr) = 0.

SO(1, 1) ⊂ SL(2, C) z′ = z cosh ζ + sinh ζ z sinh ζ + cosh ζ For critical theories the Toeplitz determinant is not invariant. Conjecture For the fermionic chain it transforms as an homogeneous function.

  • M has jump discontinuities at θr. Call ur = eiθr.
  • Mr± lateral limits at θr.
  • δr =

1 4π2 Tr

  • log
  • Mr+(Mr−)−12

Dn(M′) =

  • r

∂u′

r

∂ur δr Dn(M)(1 + o(1)) Checked analytically in particular cases and in numerical simulations.

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