Abstract
Let be a sequence of integers greater than or equal to 2. We say that a real number in is {\it -distribution normal} if the sequence is uniformly distributed mod 1. In \cite{Lafer}, P. Lafer asked for a construction of a -distribution normal number for an arbitrary . Under a mild condition on , we construct a set of -distribution normal numbers. This set is perfect and nowhere dense. Additionally, given any in , we provide an explicit example of a sequence such that the Hausdorff dimension of is equal to . Under a certain growth condition on , we provide a discrepancy estimate that holds for every in .
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