Logarithmic Sobolev inequalities for unbounded spin systems revisited









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Logarithmic Sobolev inequalities for unbounded spin systems revisited

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213519 Logarithmic Sobolev inequalities for unbounded spin systems revisited SÉMINAIRE DE PROBABILITÉS(STRASBOURG)MICHELLEDOUX

LogarithmicSobolevinequalitiesforunbounded

spinsystemsrevisited Séminaire de probabilités (Strasbourg), tome 35 (2001), p. 167-194 © Springer-Verlag, Berlin Heidelberg New York, 2001, tous droits réservés. L"accès aux archives du séminaire de probabilités (Strasbourg) (http://portail. mathdoc.fr/SemProba/) implique l"accord avec les conditions générales d"utili- sation (http://www.numdam.org/conditions). Toute utilisation commerciale ou im- pression systématique est constitutive d"une infraction pénale. Toute copie ou im-

pression de ce fichier doit contenir la présente mention de copyright.Article numérisé dans le cadre du programme

Numérisation de documents anciens mathématiques http://www.numdam.org/

LOGARITHMIC

SOBOLEV

INEQUALITIES

FOR UNBOUNDED SPIN SYSTEMS REVISITED

M. LEDOUX

University of Toulouse,

France

Abstract.

We analyze recent proofs of decay of correlations and logarithmic

Sobolev

inequalities for unbounded spin systems in the perturbative regime developed by B.

Zegarlinski,

N.

Yoshida,

B.

Helfler,

Th. Bodineau. We

investigate to this task a simple analytic model.

Proofs

are short and self-contained. Let be a probability measure on R satisfying, for some constant C > 0 and for every smooth enough function f on R, either the Poincaré (or spectral gap) inequality C where is the variance of f with respect to (see below), or the logarithmic

Sobolev

inequality C where is the entropy of f 2 with respect to (see below).

It is well-known

that the product measure of on l~n then satisfies the preceding inequalities (with the Euclidean length of the gradient of the function f on JRn) with the same constant C, in particular independent of the dimension n.

Let now H be a smooth function on l~n such

that J e-H df.-ln oo. Define Q the probability measure on with density

1 Ze-H

with respect to where Z is the normalization factor. It is a natural question to ask under which conditions on H, the probability measure Q will satisfy a Poincaré or SÉMINAIRE DE PROBABILITÉS(STRASBOURG)MICHELLEDOUX

LogarithmicSobolevinequalitiesforunbounded

spinsystemsrevisited Séminaire de probabilités (Strasbourg), tome 35 (2001), p. 167-194 © Springer-Verlag, Berlin Heidelberg New York, 2001, tous droits réservés. L"accès aux archives du séminaire de probabilités (Strasbourg) (http://portail. mathdoc.fr/SemProba/) implique l"accord avec les conditions générales d"utili- sation (http://www.numdam.org/conditions). Toute utilisation commerciale ou im- pression systématique est constitutive d"une infraction pénale. Toute copie ou im-

pression de ce fichier doit contenir la présente mention de copyright.Article numérisé dans le cadre du programme

Numérisation de documents anciens mathématiques http://www.numdam.org/

LOGARITHMIC

SOBOLEV

INEQUALITIES

FOR UNBOUNDED SPIN SYSTEMS REVISITED

M. LEDOUX

University of Toulouse,

France

Abstract.

We analyze recent proofs of decay of correlations and logarithmic

Sobolev

inequalities for unbounded spin systems in the perturbative regime developed by B.

Zegarlinski,

N.

Yoshida,

B.

Helfler,

Th. Bodineau. We

investigate to this task a simple analytic model.

Proofs

are short and self-contained. Let be a probability measure on R satisfying, for some constant C > 0 and for every smooth enough function f on R, either the Poincaré (or spectral gap) inequality C where is the variance of f with respect to (see below), or the logarithmic

Sobolev

inequality C where is the entropy of f 2 with respect to (see below).

It is well-known

that the product measure of on l~n then satisfies the preceding inequalities (with the Euclidean length of the gradient of the function f on JRn) with the same constant C, in particular independent of the dimension n.

Let now H be a smooth function on l~n such

that J e-H df.-ln oo. Define Q the probability measure on with density

1 Ze-H

with respect to where Z is the normalization factor. It is a natural question to ask under which conditions on H, the probability measure Q will satisfy a Poincaré or
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