A Glivenko-Cantelli Theorem for almost additive functions
classification
🧮 math.PR
math.STstat.TH
keywords
additivealmostfunctionsrandomallowedapplyarisingcertain
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We develop a Glivenko--Cantelli theory for monotone, almost additive functions of i.\,i.\,d.\ sequences of random variables indexed by~$\Z^d$. Under certain conditions on the random sequence, short range correlations are allowed as well. We have an explicit error estimate, consisting of a probabilistic and a geometric part. We apply the results to yield uniform convergence for several quantities arising naturally in statistical physics.
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