A form factor series for dynamical correlation functions
- f integrable lattice models at finite temperature
Frank G¨
- hmann
Bergische Universit¨ at Wuppertal Fakult¨ at f¨ ur Mathematik und Naturwissenschaften
A form factor series for dynamical correlation functions of - - PowerPoint PPT Presentation
A form factor series for dynamical correlation functions of integrable lattice models at finite temperature Frank G ohmann Bergische Universit at Wuppertal Fakult at f ur Mathematik und Naturwissenschaften Annecy 11.9.2018
Bergische Universit¨ at Wuppertal Fakult¨ at f¨ ur Mathematik und Naturwissenschaften
Introduction
Frank G¨
TFA to dynamical correlation functions 11.9.2018 2 / 44
Introduction
L→∞
Frank G¨
TFA to dynamical correlation functions 11.9.2018 2 / 44
Introduction
1σz m+1(t)T=0 for the XXZ chain at
5 10 15 20 −0.005 0.005 0.01 t I2(m, t)
4 5 6 −0.002 0.002 0.004
Frank G¨
TFA to dynamical correlation functions 11.9.2018 3 / 44
Introduction
Frank G¨
TFA to dynamical correlation functions 11.9.2018 4 / 44
Introduction
Frank G¨
TFA to dynamical correlation functions 11.9.2018 4 / 44
Introduction
Frank G¨
TFA to dynamical correlation functions 11.9.2018 4 / 44
Introduction
Frank G¨
TFA to dynamical correlation functions 11.9.2018 4 / 44
Introduction
Frank G¨
TFA to dynamical correlation functions 11.9.2018 4 / 44
Introduction
UMPER, K. K. KOZLOWSKI AND J. SUZUKI,
Frank G¨
TFA to dynamical correlation functions 11.9.2018 4 / 44
Foundations Integrable lattice models
Frank G¨
TFA to dynamical correlation functions 11.9.2018 5 / 44
Foundations Integrable lattice models
L
j=1
Frank G¨
TFA to dynamical correlation functions 11.9.2018 6 / 44
Foundations Integrable lattice models
2
N→∞ρN,L(1/T) = e−H0/T
Frank G¨
TFA to dynamical correlation functions 11.9.2018 7 / 44
Foundations Integrable lattice models
Frank G¨
TFA to dynamical correlation functions 11.9.2018 8 / 44
Foundations Integrable lattice models
L
j=1
Frank G¨
TFA to dynamical correlation functions 11.9.2018 9 / 44
Foundations Quantum transfer matrix
2N+2,a(ν2N+2,λ)Ra,2N+1(λ,ν2N+1)...Rt1 2,a(ν2,λ)Ra,1(λ,ν1)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 10 / 44
Foundations Quantum transfer matrix
Frank G¨
TFA to dynamical correlation functions 11.9.2018 11 / 44
Foundations Quantum transfer matrix
Frank G¨
TFA to dynamical correlation functions 11.9.2018 11 / 44
Correlation functions
L→∞
L→∞
Frank G¨
TFA to dynamical correlation functions 11.9.2018 12 / 44
Correlation functions
L→∞ lim N→∞
L→∞ lim N→∞
Frank G¨
TFA to dynamical correlation functions 11.9.2018 13 / 44
Correlation functions
L→∞ lim N→∞
L→∞ lim N→∞
Frank G¨
TFA to dynamical correlation functions 11.9.2018 13 / 44
Correlation functions
N
2
2 + 1 tR+hR/T N
2 + 2,...,N + 1
Frank G¨
TFA to dynamical correlation functions 11.9.2018 14 / 44
Correlation functions
ϕ/T
Frank G¨
TFA to dynamical correlation functions 11.9.2018 15 / 44
Correlation functions
2
2
N→∞ lim
N
N
2
N
N
2 tm(0|κ)Y(ε|κ)|Ψ0
0 (0|κ)Ψ0|Ψ0
Frank G¨
TFA to dynamical correlation functions 11.9.2018 16 / 44
Correlation functions
N→∞ lim
n
N
N
N
N
2 Λn(0|κ)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 17 / 44
Correlation functions
N→∞ lim
n
N
N
N
N
2 Λn(0|κ)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 17 / 44
The XXZ chain as an example Hamiltonian and R-matrix
2 XXZ chain in a magnetic field of strength h is defined by
L
j=1
j−1σx j +σy j−1σy j +∆
j−1σz j − 1
L
j=1
j
Frank G¨
TFA to dynamical correlation functions 11.9.2018 18 / 44
The XXZ chain as an example Hamiltonian and R-matrix
2 XXZ chain in a magnetic field of strength h is defined by
L
j=1
j−1σx j +σy j−1σy j +∆
j−1σz j − 1
L
j=1
j
sh(λ−µ) sh(λ−µ−iγ)
sh(−iγ) sh(λ−µ−iγ)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 18 / 44
The XXZ chain as an example Algebraic Bethe Ansatz
N+1
k=1
N+1
k=1
Frank G¨
TFA to dynamical correlation functions 11.9.2018 19 / 44
The XXZ chain as an example Algebraic Bethe Ansatz
k=1,κ
M
k=1
k=1,κ
j
j=1 are sets of ‘Bethe
k }M k=1,κ
TFA to dynamical correlation functions 11.9.2018 20 / 44
The XXZ chain as an example Algebraic Bethe Ansatz
j
j=1 parameterize the solutions of the eigenvalue problem
M
j=1
j
j
M
j=1
j
j
1 )...B(λ(n) M )|0,
1 )...C(λ(n) M )
Frank G¨
TFA to dynamical correlation functions 11.9.2018 21 / 44
The XXZ chain as an example The XX chain
N+1
k=1
Frank G¨
TFA to dynamical correlation functions 11.9.2018 22 / 44
The XXZ chain as an example The XX chain
N+1
k=1
Frank G¨
TFA to dynamical correlation functions 11.9.2018 22 / 44
The XXZ chain as an example The XX chain
N+1
k=1
1σz m+1(t)T vanish
0(λh)
0(λp)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 22 / 44
The XXZ chain as an example The XX chain
1σz m+1(t)T − 4m2(T,h) =
N→∞
0(λh|κ)a′ 0(λp|κ)
2
2
Frank G¨
TFA to dynamical correlation functions 11.9.2018 23 / 44
The XXZ chain as an example The XX chain
1σz m+1(t)T − 4m2(T,h) =
N→∞
2
2
2
1σz m+1(t)T = 4m2(T,h)
ε(λ) T
2
T
Frank G¨
TFA to dynamical correlation functions 11.9.2018 24 / 44
The XXZ chain as an example The XX chain
2 + 2arctg
2 − 2arctg
Frank G¨
TFA to dynamical correlation functions 11.9.2018 25 / 44
The XXZ chain as an example The XX chain
1σz m+1(t)T = 4m2(T,h)+
Frank G¨
TFA to dynamical correlation functions 11.9.2018 26 / 44
The XXZ chain as an example The XX chain
1σz m+1(t)T = 4m2(T,h)+
Frank G¨
TFA to dynamical correlation functions 11.9.2018 26 / 44
The XXZ chain as an example The XX chain
1σz m+1(t)T = 4m2(T,h)+
Frank G¨
TFA to dynamical correlation functions 11.9.2018 26 / 44
The XXZ chain as an example Nonlinear-integral-equation
γ i 2 γ i 2
λ
2
λh λ 1
h
λ 1
p
λ
p 2
n(µ|κ)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 27 / 44
The XXZ chain as an example Nonlinear-integral-equation
N+1
k=1
TFA to dynamical correlation functions 11.9.2018 28 / 44
The XXZ chain as an example Nonlinear-integral-equation
N+1
k=1
xn starting at xn and running along Cn up to the point λ. This enables us to define
xn
n(µ|κ)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 28 / 44
The XXZ chain as an example Nonlinear-integral-equation
N+1
k=1
xn starting at xn and running along Cn up to the point λ. This enables us to define
xn
n(µ|κ)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 28 / 44
The XXZ chain as an example Nonlinear-integral-equation
N→∞
0 (λ|κ)
0 )(µ|κ)
n .
Frank G¨
TFA to dynamical correlation functions 11.9.2018 29 / 44
The XXZ chain as an example Nonlinear-integral-equation
N→∞
0 (λ|κ)
0 )(µ|κ)
n .
Frank G¨
TFA to dynamical correlation functions 11.9.2018 29 / 44
The XXZ chain as an example Eigenvalue ratios and amplidudes
Frank G¨
TFA to dynamical correlation functions 11.9.2018 30 / 44
The XXZ chain as an example Eigenvalue ratios and amplidudes
1 σ+ m+1(t)T for which
n
Frank G¨
TFA to dynamical correlation functions 11.9.2018 30 / 44
The XXZ chain as an example Eigenvalue ratios and amplidudes
n
n (ξ|κ,κ′)cth(λ−ξ+iγ)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 31 / 44
The XXZ chain as an example Eigenvalue ratios and amplidudes
n (λ|κ,κ′)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 32 / 44
The XXZ chain as an example Eigenvalue ratios and amplidudes
n (λ|κ,κ′)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 32 / 44
The XXZ chain as an example Eigenvalue ratios and amplidudes
n (λ|κ,κ′)
M
j=1
j
n(λ|κ)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 32 / 44
The XXZ chain as an example Summation of form factor series
1 σ+ m+1(t)
N→∞ lim
n
N
N
N
N
2
N→∞ lim
n
n
n (0|κ,κ)ρ
N 2
n (tR/N|κ,κ)ρ− N
2
n
Frank G¨
TFA to dynamical correlation functions 11.9.2018 33 / 44
The XXZ chain as an example Summation of form factor series
1 σ+ m+1(t)
N→∞ lim
n
N
N
N
N
2
N→∞ lim
n
n
n (0|κ,κ)ρ
N 2
n (tR/N|κ,κ)ρ− N
2
n
Frank G¨
TFA to dynamical correlation functions 11.9.2018 33 / 44
The XXZ chain as an example Summation of form factor series
n(µ|κ)
Frank G¨
TFA to dynamical correlation functions 11.9.2018 34 / 44
The XXZ chain as an example Summation of form factor series
j
j=1 and particles {y(n) k
np k=1 to classify the solutions, meaning that we have al-
γ i 2 γ i 2
λ
2
λh λ 1
h
λ 1
p
λ
p 2
Frank G¨
TFA to dynamical correlation functions 11.9.2018 35 / 44
The XXZ chain as an example Summation of form factor series
nh
j=1
np
k=1
j=1 and {v} =
np k=1, where uj take values inside C0,s and vk outside. Solutions {x} = {xj}nh j=1,
np k=1 of ‘subsidiary conditions’ (higher-level Bethe Ansatz eqations?)
j
j=1 of the Bethe Ansatz equations and with the contours Cn. Thus, we may
Frank G¨
TFA to dynamical correlation functions 11.9.2018 36 / 44
The XXZ chain as an example Summation of form factor series
j=1
n(x(n) j
j=1
n(y(n) j
n will be canceled by corresponding terms origi-
Frank G¨
TFA to dynamical correlation functions 11.9.2018 37 / 44
The XXZ chain as an example Summation of form factor series
Frank G¨
TFA to dynamical correlation functions 11.9.2018 38 / 44
The XXZ chain as an example Summation of form factor series
ε,η
j=1 zj(u,v)
np k=1 wj(u,v)
n (0|κ,κ)ρ
N 2
n (tR/N|κ,κ)ρ− N
2
n
Frank G¨
TFA to dynamical correlation functions 11.9.2018 39 / 44
The XXZ chain as an example Summation of form factor series
j=1
k=1
Frank G¨
TFA to dynamical correlation functions 11.9.2018 40 / 44
The XXZ chain as an example Summation of form factor series
1 σ+ m+1(t)T = lim N→∞
j=1
k=1
Frank G¨
TFA to dynamical correlation functions 11.9.2018 41 / 44
The XXZ chain as an example Summation of form factor series
N→∞
j=1
np
j=1
Frank G¨
TFA to dynamical correlation functions 11.9.2018 42 / 44
The XXZ chain as an example Summation of form factor series
1 σ+ m+1(t)T =
n=1
j=1
j=1
Frank G¨
TFA to dynamical correlation functions 11.9.2018 43 / 44
Summary and discussion
1
2
3
4
5
Frank G¨
TFA to dynamical correlation functions 11.9.2018 44 / 44