Central Limit Theorems for Uniform Model Random Polygons

John Pardon ()
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John Pardon: Princeton University

Journal of Theoretical Probability, 2012, vol. 25, issue 3, 823-833

Abstract: Abstract We show how a central limit theorem for Poisson model random polygons implies a central limit theorem for uniform model random polygons. To prove this implication, it suffices to show that in the two models, the variables in question have asymptotically the same expectation and variance. We use integral geometric expressions for these expectations and variances to reduce the desired estimates to the convergence $(1+\frac{\alpha}{n})^{n}\to e^{\alpha}$ as n→∞.

Keywords: Random polygons; Central limit theorem; 52A10; 52A22; 60D05; 60F05; 52A20; 60G50 (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/s10959-010-0335-2

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