Nonlinear self-similar measures and their fourier transforms

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Abstract

We study measures on ℝn that satisfy a nonlinear self-similar identity involving convolutions. We show that such measures are usually absolutely continuous, and the density has regularity properties that get stronger as the linear terms in the identity get smaller. When there are no linear terms, the density is C∞.

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Glickenstein, D., & Strichartz, R. S. (1996). Nonlinear self-similar measures and their fourier transforms. Indiana University Mathematics Journal, 45(1), 205–220. https://doi.org/10.1512/iumj.1996.45.1156

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