Measuring Bias in Cyclic Random Walks

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2013_Bergman_MeasuringBias.pdf (180.11 KB)
Date
2013-10-01
Authors
Bergman, Clifford
 Sethuraman, Sunder
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Mathematics
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Abstract

We define the notion of the bias of a Bernoulli random variable and demonstrate its relationship to the property that the mod-2 sum of independent variables converges to a fair coin-toss. We then explore generalizations of these ideas to random walks on a finite cyclic group.
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This article is published as Bergman, Clifford, and Sunder Sethuraman. "Measuring Bias in Cyclic Random Walks." Missouri Journal of Mathematical Sciences 25, no. 2 (2013): 195-212. DOI: 10.35834/mjms/1384266204. Posted with permission.
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random walk, circulant matrix, contraction coefficient, cyclic group
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https://dr.lib.iastate.edu/handle/20.500.12876/54656
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10.35834/mjms/1384266204
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