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Random Series in Powers of Algebraic Integers: Hausdorff Dimension of the Limit Distribution
56
Citations
17
References
1998
Year
Spectral TheoryMeasure TheoryAlgebraic IntegersEngineeringRandom MatricesEntropyInvariant MeasuresStochastic ProcessesIntegrable ProbabilityAnalytic Number TheoryAnalytic CombinatoricsProbability TheoryRandom SeriesStochastic GeometryRandom MatrixExact Hausdorff DimensionHausdorff Dimension
We study the distributions Fθ,p of the random sums ∑ 1 ∞ ε n θ n where ε1, ε2, … are i.i.d. Bernoulli-p and θ is the inverse of a Pisot number (an algebraic integer β whose conjugates all have moduli less than 1) between 1 and 2. It is known that, when p=.5, Fθ,p is a singular measure with exact Hausdorff dimension less than 1. We show that in all cases the Hausdorff dimension can be expressed as the top Lyapunov exponent of a sequence of random matrices, and provide an algorithm for the construction of these matrices. We show that for certain β of small degree, simulation gives the Hausdorff dimension to several decimal places.
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