Stochastic homogenization of degenerate integral functionals with linear growth
Matthias Ruf, Caterina Ida Zeppieri

TL;DR
This paper investigates the homogenization process of non-convex, vectorial, random integral functionals with degenerate linear growth, showing convergence to a non-degenerate functional on BV under minimal assumptions.
Contribution
It introduces a novel homogenization result for degenerate integral functionals with linear growth, extending the theory to non-convex and random settings.
Findings
Homogenization of non-convex, random integral functionals with linear growth.
Convergence to a non-degenerate functional on BV.
Works under minimal assumptions on integrands and weight-functions.
Abstract
We study the limit behaviour of a sequence of non-convex, vectorial, random integral functionals, defined on , whose integrands satisfy degenerate linear growth conditions. These involve suitable random, scale-dependent weight-functions. Under minimal assumptions on the integrand and on the weight-functions, we show that the sequence of functionals homogenizes to a non-degenerate functional defined on .
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Mathematical Dynamics and Fractals · Stochastic processes and statistical mechanics
