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The Lower Fourier Dimensions of In-Homogeneous Self-similar Measures

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Abstract

The in-homogeneous self-similar measure \(\mu \) is defined by the relation

$$\begin{aligned} \mu =\sum _{j=1}^N p_j \mu \circ S_j^{-1}+p\nu , \end{aligned}$$

where \((p_1,\ldots ,p_N,p)\) is a probability vector, each \(S_j:\mathbb {R}^d\rightarrow \mathbb {R}^d\), \(j=1,\ldots ,N\), is a contraction similarity, and \(\nu \) is a Borel probability measure on \(\mathbb {R}^d\) with compact support. In this paper, we study the asymptotic behavior of the Fourier transforms of in-homogeneous self-similar measures. We obtain non-trivial lower and upper bounds for the qth lower Fourier dimensions of the in-homogeneous self-similar measures without any separation conditions. Moreover, if the IFS satisfies some separation conditions, the lower bounds for the qth lower Fourier dimensions can be improved. These results confirm conjecture 2.5 and give a positive answer to the question 2.7 in Olsen and Snigireva’s paper (Math Proc Camb Philos Soc 144(2):465–493, 2008).

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Acknowledgements

The authors would like to thank the referees for their several valuable suggestions and corrections. This work was supported by National Natural Science Foundation of China (Grant Nos.12026203 and 12071118), Hunan Provincial Natural Science Fund (Grant No.2020JJ4163) and the Fundamental Research Funds for the Central Universities (Grant No. 531118010147).

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Correspondence to Bing Gao.

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Communicated by Stephane Jaffard.

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Zhang, S., Gao, B. & **ao, Y. The Lower Fourier Dimensions of In-Homogeneous Self-similar Measures. J Fourier Anal Appl 29, 55 (2023). https://doi.org/10.1007/s00041-023-10037-z

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