The Equivalence of Some Bernoulli Convolutions to Lebesgue Measure

نویسنده

  • R. Daniel Mauldin
چکیده

Since the 1930’s many authors have studied the distribution νλ of the random series Yλ = ∑±λn where the signs are chosen independently with probability (1/2, 1/2) and 0 < λ < 1. Solomyak recently proved that for almost every λ ∈ [ 1 2 , 1], the distribution νλ is absolutely continuous with respect to Lebesgue measure. In this paper we prove that νλ is even equivalent to Lebesgue measure for almost all λ ∈ [ 1 2 , 1].

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تاریخ انتشار 1998