In statistical mechanics, the Griffiths inequality, sometimes also called Griffiths - Kelly - Sherman inequality or GKS inequality, named after Robert B. Griffiths, is a correlation inequality for ferromagnetic spin systems. Informally, it says that in ferromagnetic spin systems, if the 'a-priori distribution' of the spin is invariant under spin flipping, the correlation of any monomial of the spins is non-negative; and the two point correlation of two monomial of the spins is non-negative.
The inequality was proved by Griffiths for Ising ferromagnets with two-body interactions,[1] then generalised by Kelly and Sherman to interactions involving an arbitrary number of spins,[2] and then by Griffiths to systems with arbitrary spins.[3] A more general formulation was given by Ginibre,[4] and is now called the Ginibre inequality.
Let
style\sigma=\{\sigmaj\}j
style\sigmaA=\prodj\sigmaj
Assign an a-priori measure dμ(σ) on the spins;let H be an energy functional of the form
H(\sigma)=-\sumAJA\sigmaA~,
where the sum is over lists of sites A, and let
Z=\intd\mu(\sigma)e-H(\sigma)
be the partition function. As usual,
\langle ⋅ \rangle=
1 | |
Z |
\sum\sigma ⋅ (\sigma)e-H(\sigma)
stands for the ensemble average.
The system is called ferromagnetic if, for any list of sites A, JA ≥ 0. The system is called invariant under spin flipping if, for any j in Λ, the measure μ is preserved under the sign flipping map σ → τ, where
\tauk=\begin{cases}\sigmak,&k ≠ j,\\ -\sigmak,&k=j. \end{cases}
In a ferromagnetic spin system which is invariant under spin flipping,
\langle\sigmaA\rangle\geq0
In a ferromagnetic spin system which is invariant under spin flipping,
\langle\sigmaA\sigmaB\rangle\geq\langle\sigmaA\rangle\langle\sigmaB\rangle
The first inequality is a special case of the second one, corresponding to B = ∅.
Observe that the partition function is non-negative by definition.
Proof of first inequality: Expand
e-H(\sigma)=\prodB\sumk
| ||||||||||||||||
k! |
=
\sum | |
\{kC\ |
C}\prodB
| ||||||||||||||||
kB! |
~,
then
\begin{align}Z\langle\sigmaA\rangle&=\intd\mu(\sigma)\sigmaAe-H(\sigma)=
\sum | |
\{kC\ |
C}\prodB
| |||||||
kB! |
\intd\mu(\sigma)\sigmaA
kB | |
\sigma | |
B |
\\ &=
\sum | |
\{kC\ |
C}\prodB
| |||||||
kB! |
\intd\mu(\sigma)\prodj
nA(j)+kBnB(j) | |
\sigma | |
j |
~,\end{align}
where nA(j) stands for the number of times that j appears in A. Now, by invariance under spin flipping,
\intd\mu(\sigma)\prodj
n(j) | |
\sigma | |
j |
=0
if at least one n(j) is odd, and the same expression is obviously non-negative for even values of n. Therefore, Z<σA>≥0, hence also <σA>≥0.
Proof of second inequality. For the second Griffiths inequality, double the random variable, i.e. consider a second copy of the spin,
\sigma'
\sigma
\langle\sigmaA\sigmaB\rangle- \langle\sigmaA\rangle\langle\sigmaB\rangle= \langle\langle\sigmaA(\sigmaB-\sigma'B)\rangle\rangle~.
Introduce the new variables
\sigmaj=\tauj+\tauj'~, \sigma'j=\tauj-\tauj'~.
The doubled system
\langle\langle ⋅ \rangle\rangle
\tau,\tau'
-H(\sigma)-H(\sigma')
\tau,\tau'
\begin{align} \sumAJA(\sigmaA+\sigma'A)&=\sumAJA\sumX\subset\left[1+(-1)|X|\right]\tauA\tau'X \end{align}
Besides the measure on
\tau,\tau'
d\mu(\sigma)d\mu(\sigma')
\sigmaA
\sigmaB-\sigma'B
\tau,\tau'
\begin{align} \sigmaA&=\sumX\tauA\tau'X~,\\ \sigmaB-\sigma'B&=\sumX\subset\left[1-(-1)|X|\right]\tauB\tau'X~. \end{align}
The first Griffiths inequality applied to
\langle\langle\sigmaA(\sigmaB-\sigma'B)\rangle\rangle
More details are in [5] and.[6]
The Ginibre inequality is an extension, found by Jean Ginibre,[4] of the Griffiths inequality.
Let (Γ, μ) be a probability space. For functions f, h on Γ, denote
\langlef\rangleh=\intf(x)e-h(x)d\mu(x)/\inte-h(x)d\mu(x).
Let A be a set of real functions on Γ such that. for every f1,f2,...,fn in A, and for any choice of signs ±,
\iintd\mu(x)d\mu(y)
n | |
\prod | |
j=1 |
(fj(x)\pmfj(y))\geq0.
Then, for any f,g,-h in the convex cone generated by A,
\langlefg\rangleh-\langlef\rangleh\langleg\rangleh\geq0.
Let
Zh=\inte-h(x)d\mu(x).
Then
2 | |
\begin{align} &Z | |
h |
\left(\langlefg\rangleh-\langlef\rangleh\langleg\rangleh\right)\\ & =\iintd\mu(x)d\mu(y)f(x)(g(x)-g(y))e-h(x)-h(y)\\ & =
infty | |
\sum | |
k=0 |
\iintd\mu(x)d\mu(y)f(x)(g(x)-g(y))
(-h(x)-h(y))k | |
k! |
. \end{align}
Now the inequality follows from the assumption and from the identity
f(x)=
1 | |
2 |
(f(x)+f(y))+
1 | |
2 |
(f(x)-f(y)).
This is because increasing the volume is the same as switching on new couplings JB for a certain subset B. By the second Griffiths inequality
\partial | |
\partialJB |
\langle\sigmaA\rangle= \langle\sigmaA\sigmaB\rangle- \langle\sigmaA\rangle\langle\sigmaB\rangle\geq0
Hence
\langle\sigmaA\rangle
Jx,y\sim|x-y|-\alpha
1<\alpha<2
This property can be shown in a hierarchical approximation, that differs from the full model by the absence of some interactions: arguing as above with the second Griffiths inequality, the results carries over the full model.[7]
Jx,y\sim|x-y|-\alpha
2<\alpha<4
D
J>0
\beta
D
J>0
\beta/2
\langlesi ⋅ sj\rangleJ,2\beta\le\langle\sigmai\sigmaj\rangleJ,\beta
Hence the critical
\beta
XY | |
\beta | |
c |
\ge
\rmIs | |
2\beta | |
c |
~;
in dimension D = 2 and coupling J = 1, this gives
XY | |
\beta | |
c |
\geln(1+\sqrt{2}) ≈ 0.88~.
. Phase Transitions and Critical Phenomena. 1. 1972. Academic Press. New York. 7. Robert Griffiths (physicist). C. Domb and M.S.Green. Rigorous results and theorems. Phase Transitions and Critical Phenomena.