2019
DOI: 10.1090/proc/14042
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Singularity versus exact overlaps for self-similar measures

Abstract: Abstract. In this note we present some one-parameter families of homogeneous selfsimilar measures on the line such that• the similarity dimension is greater than 1 for all parameters and • the singularity of some of the self-similar measures from this family is not caused by exact overlaps between the cylinders. We can obtain such a family as the angle-α projections of the natural measure of the Sierpiński carpet. We present more general one-parameter families of self-similar measures ν α , such that the set o… Show more

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Cited by 4 publications
(2 citation statements)
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“…The claim dim P lim sup E i = d also follows by observing that lim sup E i is a dense G δ -set [SV,Fact 12], but we give a direct proof. We will actually prove the following result; it is clear that Theorem 3.1 is an immediate corollary.…”
Section: Statement Of Resultsmentioning
confidence: 84%
“…The claim dim P lim sup E i = d also follows by observing that lim sup E i is a dense G δ -set [SV,Fact 12], but we give a direct proof. We will actually prove the following result; it is clear that Theorem 3.1 is an immediate corollary.…”
Section: Statement Of Resultsmentioning
confidence: 84%
“…A standard technique for proving an attractor has positive d-dimensional Lebesgue measure is by showing there is an absolutely continuous pushforward measure. Note that by a recent result of Simon and Vágó [57], it follows that the list of mechanisms leading to the failure of absolute continuity is strictly greater than the list of mechanisms leading to the failure of equality in (1.2). The usual methods for gauging how an iterated function system overlaps are to determine whether the Hausdorff dimension of the attractor satisfies a certain formula, to determine whether the dimension of pushforwards of dynamically-defined measures satisfy a certain formula, and to determine whether these measures are absolutely continuous with respect to the Lebesgue measure.…”
Section: Attractors Generated By Iterated Function Systemsmentioning
confidence: 97%