Let be a finitely generated group equipped with a finite symmetric generating set and the associated word length function . We study the behavior of the probability of return for random walks driven by symmetric measures that are such that for increasing regularly varying or slowly varying functions , for instance, $s\mapsto (1+s)^\alpha\alpha\in (0,2]s\mapsto (1+\log (1+s))^\epsilon\epsilon>0$. For this purpose we develop new relations between the isoperimetric profiles associated with different symmetric probability measures. These techniques allow us to obtain a sharp -version of Erschler’s inequality concerning the F\o lner functions of wreath products. Examples and assorted applications are included.

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