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1. Verfasser: Rutar, Alex
Format: Preprint
Veröffentlicht: 2023
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Online-Zugang:https://arxiv.org/abs/2312.08974
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author Rutar, Alex
author_facet Rutar, Alex
contents We provide a self-contained exposition of the well-known multifractal formalism for self-similar measures satisfying the strong separation condition. At the heart of our method lies a pair of quasiconvex optimization problems which encode the parametric geometry of the Lagrange dual associated with the constrained variational principle. We also give a direct derivation of the Hausdorff dimension of the level sets of the upper and lower local dimensions by exploiting certain weak uniformity properties of the space of Bernoulli measures.
format Preprint
id arxiv_https___arxiv_org_abs_2312_08974
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Multifractal analysis via Lagrange duality
Rutar, Alex
Dynamical Systems
28A80, 37C45 (Primary) 49N15, 94A17, 60F10 (Secondary)
We provide a self-contained exposition of the well-known multifractal formalism for self-similar measures satisfying the strong separation condition. At the heart of our method lies a pair of quasiconvex optimization problems which encode the parametric geometry of the Lagrange dual associated with the constrained variational principle. We also give a direct derivation of the Hausdorff dimension of the level sets of the upper and lower local dimensions by exploiting certain weak uniformity properties of the space of Bernoulli measures.
title Multifractal analysis via Lagrange duality
topic Dynamical Systems
28A80, 37C45 (Primary) 49N15, 94A17, 60F10 (Secondary)
url https://arxiv.org/abs/2312.08974