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Dynamical self-similarity, $L^{q}$-dimensions and Furstenberg slicing in $\mathbb{R}^d$

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arxiv 2409.04608 v1 pith:XX2E4EAO submitted 2024-09-06 math.CA math.COmath.DSmath.MG

classification math.CAmath.COmath.DSmath.MG
keywords dimensionsslicingfurstenbergmathbbmeasuresself-similarapproacharbitrary
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abstract

We extend a theorem of the second author on the $L^q$-dimensions of dynamically driven self-similar measures from the real line to arbitrary dimension. Our approach provides a novel, simpler proof even in the one-dimensional case. As consequences, we show that, under mild separation conditions, the $L^q$-dimensions of homogeneous self-similar measures in $\mathbb{R}^d$ take the expected values, and we derive higher rank slicing theorems in the spirit of Furstenberg's slicing conjecture.

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  1. Smooth projections of self-similar measures

    math.DS 2026-07 accept novelty 8.0 of 10

    A spectral-gap criterion gives Sobolev regularity for prescribed projections of self-similar measures and yields explicit examples such as singular measures with all line projections smooth.

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