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he Onsager solution of the 2d Ising model (continue Notation: Summary of first part 1 , Ising on N xN square lattice i j adjacent i j H Jss 2 Ising 1,1 1,2 , . NN H FN s s s Z e e K J , , 1 , 1, 1, 1, 1 1 2 1 2 , , , | largesteigenvalue(in therm odynam iclimit) oftransferm atrix ( , ,..., ) ( , , isdefined on two neighbourin | g row s and ..., ) + k k k k N max max N Js s Js s N N k s s s Z N V e e s s s 1.

The Onsager solution of the 2d Ising model (continued)

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The Onsager solution of the 2d Ising model (continued). Summary of first part. Notation:. Fourier, of course. By fermionization V becomes an infinite interacting 1d periodic Fermi system . Jean Baptiste Joseph Fourier. - PowerPoint PPT Presentation

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Page 1: The Onsager solution of the 2d Ising model (continued)

The Onsager solution of the 2d Ising model (continued)

,Ising on NxN square latticei j

adjacent i j

H Js s

2Ising

1,1 1,2 ,

.N N

HFN

s s s

Z e e

Notation:K J

, , 1 , 1,1, 1, 11 2 1 2 ,

, ,

|

largest eigenvalue ( in thermodynamic limit)of transfer matrix

( , ,..., ) ( , ,

is defined on two neighbourin

|

g rows and

..., )

+

k k k k

Nmax max

NJs s Js s

N Nk

s s s

Z N

V e es s s

1.

Summary of first part

1

Page 2: The Onsager solution of the 2d Ising model (continued)

Fourier, of course

a second-quantization operator with the structure of an exponential. This fictitious system will contain an unspecified number of interacting particles and we must seek the largest eigenvalue.

By fermionization V becomes an infinite interacting 1d periodic Fermi system.

†† † † †1 11 1

12 ( )( )( ) ( )( )22 2 2

2

[2sinh(2 )]

Recall: K= J, tanh( ) .

m mm m m m m mm mm

N K KC CC C C C C C C C

K

V K e e e

e

/4/4

( , )

† † †

(0, )

(the will be useful later)

We prefer to have q>0 and write ( ). Then,

iimq i

m qq

N

m m q q q qm q

eC e eN

C C

Jean Baptiste Joseph Fourier

2

Page 3: The Onsager solution of the 2d Ising model (continued)

3

† † † †

† †† † † †

(0, )

cos( )( ) sin( )( )

2 ( 1)cos( )( ) sin( )( )

*

q q q q q q q q

q q q qq q q q q q q qq

K q qq

K q q

e

e

V

e

different q are decoupled and the problem reduces to diagonalizing

† †( ) pair creation and annihilationq q q q

† †( ) total fermion numberq q q q

We shall find simultaneous eigenvectors of

Simultanous eigenstates of those operators are eigenstates of Vq.

2where tanh( ) .Ke

In states labelled by q one finds either 0 or 1 particles, and one can create in both q and –q but only once. The dimension of the Hilbert space is just 4.

End of summary of first part

3

Page 4: The Onsager solution of the 2d Ising model (continued)

4

Diagonalization of Vq

What is the Hilbert space? 4 basis vectors per q † † †0 0 0vacuu ,m, .q q qq q q

† † † †

† † 2 cos

†0

eigenare already one-Fermion vectors :

0 0

( )q q q q q q

K q

q

q q q

q q q qq q q q qV e

† †

† † † † † † † †(0, )

2 ( 1)cos( )( ) sin( )( ) cos( )( ) sin( )( )q q q q

q q q q q q q q q q q q q q q qqK q q K q qqV ee e

The average over the pair state is obtained by setting occupation numbers =1.† †

(0, )

2 ( 1)2

1 0 0

2

1 2

| | | | .

00

q q q qq

q q qq

q

q V e e

eV

e

† †

(0, )

† †

(0, )

2 ( 1)

1

2 ( 1)2

0 1 0 0 0

Start with . It depends on number operators only.

The vacuum average is immedi | | |at | .e:

q q q qq

q q q qq

q

q

V e

V e e

In states labelled by q one finds either 0 or 1 particles, and one can create in both q and –q but only once.

0

We must seek more eigenvectors so we must construct the matrix of V

in pair space ( ,

two

). q

qq

Page 5: The Onsager solution of the 2d Ising model (continued)

5

1

† † † †2

0

2

Next, we need the matrix

e

in pair

xp cos( )( ) sin( )

space ( , )

( ) .q q q q q

q

q

q

q q q

of

V K q q

† † 2 00 0 0

In pair space ( , )) ( 1 ., q q q qqq z

† †

† † †

† † †

0

0

creates the pair and k

s

ills it.

,

the pair operin( )( ) involves ,

where

sin( )( ) sin( )( ) ,

0 1 0 0

at

, .

ors

0 0

and

1 0 q q x

q q q q

q q

q q q q q

qq qq

q

q q q q

q q

q q

q

b b

q q b

b b

b

b b b b

1

† †22 exp cos( )( 1) sin( )( ) .q z q q q qV K q q

2

12

2

0

12 in pair space ( , ) is:Therefore, the matrix of

exp cos( )( 1) sin( ) .

qqq

q z x

V

V K q q

Page 6: The Onsager solution of the 2d Ising model (continued)

6

1

cos( )22

cos( )

exp cos( )( 1) sin( ) exp c

One can evaluate the exp

os( ) sin( )

, wherecos( ) sin( )

cos( ) sin( )

on

sin( ) cos( )

ential.

K qq z x z x

K q K M

z x

V K q q e K q q

e eq q

M q qq q

�;

1 0 cos( ) sin( ) cos( ) sin( ) 1 0M is a root of unity: since .

0 1 sin( ) cos( ) sin( ) cos( ) 0 1

One can do the exponential by resumming the Taylor series.

q q q qM

q q q q

osh(K) M inh(K)! !

m mKM

m even m odd

K Ke M c sm m

� � �

6

Page 7: The Onsager solution of the 2d Ising model (continued)

7

1cos( )2

2

cosh( ) sinh( )cos( ) sinh( )sin( )we get .

sinh( )sin( ) cosh( ) sinh( )cos( )K q

q

K K q K qV e

K q K K q

2 cos( )

2

2

We must perform the matrix product; let

cosh( ) sinh( )cos( ) sinh( )sin( )sinh( )sin( ) cosh( ) sinh( )cos( )

cosh( ) sinh( )cos( ) sinh( )sin( )0s0

q qK qq

q q

q q

q q

A CV e

C B

A CC B

K K q K qK q K K q

K K q K qee

inh( )sin( ) cosh( ) sinh( )cos( )K q K K q

1cos( )2

2

cos( ) sin( )Inserting into the result Cosh(K)+M Sinh(K), ,

sin( ) cos( )K q KM KM

q

q qV e e e M

q q

� � �

21 12 2

2 1 2 1 2using previous result

0Finally, compute: .

0 q q q q q

eV V V V V

e

Page 8: The Onsager solution of the 2d Ising model (continued)

8

2 cos( ) q qK qq

q q

A CV e

C B

By hand this product is tedious.Fullsimplify on Mathematica yelds:

22 2 2

22 2 2

cosh( ) sinh( )cos( ) (sinh( )sin( ))

(sinh( )sin( )) cosh( ) sinh( )cos( )

2sinh( )sin( )(cosh(2 )cosh( ) sinh(2 )sinh( )cos( ).

q

q

q

A e K K q e K q

B e K q e K K q

C K q K K q

0

2

2 cos( )

Recall: K= J, tanh( ) .

is a known function of .

Getting the eigenvalues of a 2X2 matrix is

in

t

pa

rivial, but we need to find the simplest expressi

ir space

o

,

n

( ), q

K

q qK qq

q qq

eA C

V e qC B

.

We show that det 1 and use T .rq q q qq q

q q q q

A C A CA B

C B C B

Page 9: The Onsager solution of the 2d Ising model (continued)

9

From

22 2 2

22 2 2

cosh( ) sinh( )cos( ) (sinh( )sin( ))

(sinh( )sin( )) cosh( ) sinh( )cos( )

2sinh( )sin( )(cosh(2 )cosh( ) sinh(2 )sinh( )cos( )

q

q

q

A e K K q e K q

B e K q e K K q

C K q K K q

2

2 2

, , expanding the and collecting,Using theabove expressions for

2((cosh( ) sinh( ) )cosh(2 ) 2sinh(2 )cosh( )sinh( ) cos( );

q q

q qq q

q q

A B

A CTr A B K K K K q

C B

2 product of  eigenvalues 1.

it is expedient to write the eigenvalues in the form , 0

The

1 det 1,

2cosh .)n (

q

q q

q qq q q

q q

q qq q

q

qq q

A CA

e

e e

B CC B

A Cr A BC B

T

one can work out, recalling that V is hermitean and eigenvalues must be real:

9

Page 10: The Onsager solution of the 2d Ising model (continued)

10

2 2

Simplify using the identities:

2cosh( )sinh( ) sinh(2 ), cosh( ) sinh( ) cosh(2 )q qA B

K K K K K K

cosh( ) cos

is know

h(2 )

n! It is the p

cosh(2 ) sinh(2 )sinh(2 )cos( )

ositive root ofq

q K K q

2[cosh(2 )cosh(2 ) sinh(2 )sinh(2 )cos( )].

This must be 2cosh( )

q

q q

q

qA CTr K K q

C B

2 22((cosh( ) sinh( ) )cosh(2 ) 2sinh(2 )cosh( )sinh( ) cos( );q q

q q

A CTr K K K K q

C B

2 cos( )0

2 cos( )

Summarizing, in pair space ( , ), .

This has eigenvalues , 0.q

q qK qqq q

q q

K qq

A CV e

C B

e e

Page 11: The Onsager solution of the 2d Ising model (continued)

2 cosare already one-Fermion vectorRecall: s :e e ;ig n K qqq q qV e

2 cos( ) 2 cos( )

0 the m

that has eigenvalues

atrix of V in pair space (

, 0

i :

.

,

) s

qq qK q

q

K q

qqq

q

qq

A CeV e e

C B

The 4 eigenvalues of Vq

2

(0, )

2

2 cos( )

2

largest eigenvalue of

The transfer matrix is [2sinh(2 )] and so we want

[2sinh(2 )] .

The largest eigenvalue of largest exponent choose

[2sinh(2 )]

q

N

qq

N

max qq

q

K qq

N

max

V K V

K V

V

K

ee

2 co 2

0

s( ) [2sinh(2 )] e 2 cxp os( ].)[q

NK

q

qqe K K qe

( , )

q

2

122

(- , )

[2sinh(2 )] co

Extend to q (- , ) and divide by 2 exponent:

exp [ ].

We

s( )2

cos can clean up since ( ) 0. Therefore,

[2sinh(2 )] .q

q

Nq

max

N

max

q

K K q

q

K e

ò

11

Page 12: The Onsager solution of the 2d Ising model (continued)

( , )

122[2sinh(2 )] .

qq

N

max K e

ò

12

422 , In the thermodynamic lim [2sinh(2 )] .it qNN dq

maxdq K eN

ò

The free energy per spin is1 1[ ln(2sinh(2 ) ].2 4 qF KT K dq

ò

2

qTheeigenvalues

cosh( ) cosh(2 )cosh(2 ) sinh(2 )sinh

ε are k

(2 )cos( )

where tanh( )

nown. Reca l

.

l

K

q K K q

e

The solution is a bit implicit, but complete !

Page 13: The Onsager solution of the 2d Ising model (continued)

13

2critical temperature .ln(1 2)B C

Jk T

Temperature dependence of energy per spin Temperature dependence

of specific heat

Actually, one can obtain (see Huang page 386) the slightly more explicit expression

2 220

1 1 2sinh(2 )ln[2cosh(2 )] ln{ (1 1 sin( ) } where .2 2 cosh(2 )

KF K dK

1 1[ ln(2sinh(2 ) ].2 4 qF KT K dq

ò

Page 14: The Onsager solution of the 2d Ising model (continued)

14

2critical temperature .ln(1 2)B C

Jk T

Temperature dependence of spontaneous magnetization (Yang’s calculation, not Onsager’s, where H=0),see Huang page 391

Phase transition

18

4

1[1 ](sinh(2 ))

mJ

14

Page 15: The Onsager solution of the 2d Ising model (continued)

Monte Carlo simulations

The exact solution offers a unique benchmark for computer simulations by a Metropolis algorithm. Lattices of up and down spins are produced by random number generation using an algorithm based on importance sampling. Given a lattice one spin is turned and the new energy evaluated. The new lattice is accepted if the energy is not too high. Then averages are computed.

Average:

r

r

Er

rE

r

A eA

e

22

22

in this way one estimates (fluctuation-Dissipation theorem),

Magnetic susceptibility , etc.

vC E ET

M M

15

Page 16: The Onsager solution of the 2d Ising model (continued)

(from Lectures by Lisa Larrimore)16

Page 17: The Onsager solution of the 2d Ising model (continued)

17

Page 18: The Onsager solution of the 2d Ising model (continued)

Temperature dependence of specific heat

18

Page 19: The Onsager solution of the 2d Ising model (continued)

19

Page 20: The Onsager solution of the 2d Ising model (continued)

20

(Weiss theory)

(Weiss theory)

20

Page 21: The Onsager solution of the 2d Ising model (continued)

21

d ferromagnetic Ising ModelThe Ising model including H is soluble if we assume N>>1 nearest neighbours (many dimensions or very long-range interaction): we must divide interaction by N to have a finite answer for large N. So we take:

,

Hamilto nian 02 n n

mm

n nNJJ s s H s

2,

,

2 2

{ } { }

2

,sum over all confi

Since the total spin is :

gurati s.

,

onm n

n

i

nm n

i

m

H s

n nn m n

J JsN

s

HSN

s

Ss

S Ss s s

Z e e

We calculate Z exactly via the Hubbard-Stratonovich transformation

0

Non-interacting case J=0

( ) ( ) [2cosh( )]

log(2cosh( )).

kk

i

k

k

H sHs H H N

s sk k

Z H e e e e H

F KTN H

Page 22: The Onsager solution of the 2d Ising model (continued)

22

22

22Why exp[ ] ?2

02

,J Sx Na N J N Je dx x JSxdxe a

a

21 exp[ ]2 2N J N Jdx x

2By a shift of coordinate 1= exp[ ( ) ].2 2N J N J Sdx x

N

2 2 222 2 2Multiply both sides by : exp[ ( ) ].

2 2

J J JS S SN N N N J N J Se e e dx x

N

2

2 2 2

2 22

22

2At the exponent: ( ) 22 2 2 2

exp[ ], qed2 2 2

2 2

J SN

J N J SJ N J S N J N J SS x x xN N N

N J N J N Jx JSx e dx

SN N

x JSx

The Hubbard-Stratonovich transformation

2

1 , with a=2

axa N Jdxe

Page 23: The Onsager solution of the 2d Ising model (continued)

23

2 2

( )( )

0

2

(

( ) 2

)

0

( )( , ) ( ) [2cosh( ( ))] .

( , )2 2

kk

i

i

k

k

H Jx sH Jx s H Jx H N

s sk k

N J N Jx H x x

Jx

J S

s

Z x H e e e e H Jx

N J N JZ dxe e dxe Z x H

22

{ } }

2

{

becomes exp[ .]2 2

i is s

J S HSN HS N JZ e Z eN Je dx x JSx

2

)

2 ( )

0(

Next, exchange with .2

weighted average of ( , ) (noninteracting spins in field H+Jx);i i

i

N JH Jx S

H Jx

x

s s

s

S

N Jdx Z dxe e

Z Z x H e

2

2

20

}

22

{ } {

Noninteracting case: . .

Substi

( )

etute xp[ ]2 2

i i

HSHS

s

J

s

SN

J SN

e

N J N Je dx x JSx

H eZ e Z

The Hubbard-Stratonovich transformation

Page 24: The Onsager solution of the 2d Ising model (continued)

24

0 tanh( ) tanh( )N Jx NJ H Jx NJx NJ H Jx

2

20 0

the optimum x is tanh( ),effective magn

( , ) ( , ).2

etic fieldN J xN JZ dxe Z x H Z x H

x H J xJ x

Evaluation of Z by the steepest descent method

( , , ...) ( , , ...) ( , , ,...)const. , such that 0.f x a b f x a b

x x

df x a bdxe e xdx

20ln( ( , ))

2

2

N J x Z x HN JZ dxe

the minimum condition isWith

20 [ ln(cosh( ))] { tanh( )}2

d N J x N H Jx NJ x H Jxdx

2

20 0( , ), ( , ) [2cosh( )] .

2

N J x NN JZ dxe Z x H Z x H H Jx

Page 25: The Onsager solution of the 2d Ising model (continued)

25

PIERRE-ERNEST WEISS born March 25, 1865, Mulhouse, France. died Oct. 24, 1940, Lyon, France.

Recall the Weiss mean field theory (1907)

effH H M

1 , 2 tanh2

BB

B

HNJ g MV K T

( )tanh BB

B

H MNMV K T

The behavior of an Ising model on a fully connected graph may be completely understood by mean field theory,because each site has a very large number of neighbors. Each spin interacts with all the others,  Only the average number of + spins and − spins is important, since the fluctuations about this mean will be very small. Mean field = exact in infinite d

Exchange field

Page 26: The Onsager solution of the 2d Ising model (continued)

Mermin-Wagner theorem in Statistical Mechanics, = (Coleman theorem (1973) in QFT)In d=1 and d=2 continuous symmetries cannot be spontaneously broken at finite T in systems with sufficiently short ranged interactions. This does not apply to discrete symmetries (2d Ising model)

Thin films do show phase transitions experimentally, so perhaps they are not really 2d.

X-Y model and Kosterlitz-Thouless topological transitionVortices canot occur in 1d. Since KT deal with vortices we digress a little about fluids. For a 2d fluid moving with velocity u(x,y,t) in 2d the vorticity is

. ( ) ( )yxzS S

C

uuk dl u dS rot u dS

y x

k>0

In addition topological transitions (no broken symmetry) can occur in 2d.

26

Page 27: The Onsager solution of the 2d Ising model (continued)

In polar coordinates with basis vectorsˆ( , ), =z ( , )x y y x

r r r r

( , ) (0, )2rku u ur

consider a circular vortex

If the density is , the kinetic energy of the vortex is finite if we introduce two cutoff lengths: size R of the fluid, and intermolecular distance r0

0

2 22

20

1 1 2 ln( ).2 2 (2 ) 4

R

r

k k RE dSu drrr r

In a similar way one can compute the energy of two vortices of opposite vorticity at a distance d and find that they attract each other. One finds that the interaction energy grows with the distance as

2

0

( ) log( )2 2k dU d

r

Vortex and antivortex attract each other and annihilate.

27

Page 28: The Onsager solution of the 2d Ising model (continued)

,

cos( ), J>0j jj

H J

X-Y model and the KT transition Classical spins confined in (x,y) plane in a 2d lattice; the one at site j makes an angle j with the x axis. The Hamiltonian is:

In the ground states all spins are aligned in some direction, and every cos =1

Excitations are vortices and monopoles. They are topological, that is, they are like holes in the system.I take figures from Mahan’s Nutshell book

28

Page 29: The Onsager solution of the 2d Ising model (continued)

29

Page 30: The Onsager solution of the 2d Ising model (continued)

2

Entropy of vortex (or monopole) =K log(number of sites)=K log( )

Energy of vortex-antivortex (or monopole-antimonopole) interaction

estimated by Kosterlitz-Thouless =2 J log( ).

Same story for vortic

B BRa

Ra

es and monopoles. Both are topological excitations.

JTransition temperature T=BK

Above, the system creates free vorticesBelow, excitations consist of vortex-antivortex pairs.No symmetry is broken in the transition.

30