Simon's dimension conjecture for self-similar measures on the line

Let μ\mu be the self-similar measure on R\mathbb{R} associated to an IFS {φi:iΛ}\{\varphi_i:i\in\Lambda\} without exact overlaps and a probability vector {pi}\{p_i\}. Let λi\lambda_i be the contraction factor of φi\varphi_i. Simon's measure-dimension conjecture. Then

dimμ=min(1,ipilogpi1ipilogλi1).\dim\mu=\min\left(1,\frac{\sum_i p_i\log p_i^{-1}}{\sum_i p_i\log\lambda_i^{-1}}\right).

This is the measure counterpart to the dimension conjecture for self-similar attractors: it predicts that, without exact overlaps, the expected entropy-over-Lyapunov-dimension formula is valid up to the ambient bound. The source does not specify the conjecture's resolution status.

Sources & referencesView supporting material

Primary source

Péter P. Varjú, “Self-similar sets and measures on the line”, arXiv:2109.10629 (2021).

Additional references

3 papers in this index state this conjecture (2016–2021). The statement above is taken from the most recent of them; the others are arXiv:2010.01022, arXiv:1608.02711.

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