Benford Solutions of Linear Difference Equations

Conference paper

DOI: 10.1007/978-3-662-44140-4_2

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 102)
Cite this paper as:
Berger A., Eshun G. (2014) Benford Solutions of Linear Difference Equations. In: AlSharawi Z., Cushing J., Elaydi S. (eds) Theory and Applications of Difference Equations and Discrete Dynamical Systems. Springer Proceedings in Mathematics & Statistics, vol 102. Springer, Berlin, Heidelberg

Abstract

Benford’s Law (BL), a notorious gem of mathematics folklore, asserts that leading digits of numerical data are usually not equidistributed, as might be expected, but rather follow one particular logarithmic distribution. Since first recorded by Newcomb in 1881, this apparently counter-intuitive phenomenon has attracted much interest from scientists and mathematicians alike. This article presents a comprehensive overview of the theory of BL for autonomous linear difference equations. Necessary and sufficient conditions are given for solutions of such equations to conform to BL in its strongest form. The results extend and unify previous results in the literature. Their scope and limitations are illustrated by numerous instructive examples.

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.University of AlbertaEdmontonCanada

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