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Dimension of homogeneous iterated function systems with algebraic translations

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arxiv 2405.03124 v1 pith:KIVMTE4J submitted 2024-05-06 math.DS math.CA

classification math.DSmath.CA
keywords lambdavarjalgebraicfunctionhomogeneousiteratedldotsnumbers
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abstract

Let $ \mu $ be the self-similar measure associated with a homogeneous iterated function system $ \Phi = \{ \lambda x + t_j \}_{j=1}^m $ on ${\Bbb R}$ and a probability vector $ (p_{j})_{j=1}^m$, where $0\neq \lambda\in (-1,1)$ and $t_j\in {\Bbb R}$. Recently by modifying the arguments of Varj\'u (2019), Rapaport and Varj\'u (2024) showed that if $t_1,\ldots, t_m$ are rational numbers and $0<\lambda<1$, then $$ \dim \mu =\min\Big \{ 1, \; \frac{\sum_{j=1}^m p_{j}\log p_{j}}{ \log |\lambda| }\Big\}$$ unless $ \Phi $ has exact overlaps. In this paper, we further show that the above equality holds in the case when $t_1,\ldots, t_m$ are algebraic numbers and $0<|\lambda|<1$. This is done by adapting and extending the ideas employed in the recent papers of Breuillard, Rapaport and Varj\'u.

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  1. Dimension of diagonal self-affine measures with exponentially separated projections

    math.DS 2025-01 conditional novelty 7.0 of 10

    For diagonal self-affine measures with distinct Lyapunov exponents and exponentially separated one-dimensional projections, Hausdorff dimension equals the minimum of d and the Lyapunov dimension.

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