Open Access
February 2010 Commuting birth-and-death processes
Steven N. Evans, Bernd Sturmfels, Caroline Uhler
Ann. Appl. Probab. 20(1): 238-266 (February 2010). DOI: 10.1214/09-AAP615

Abstract

We use methods from combinatorics and algebraic statistics to study analogues of birth-and-death processes that have as their state space a finite subset of the m-dimensional lattice and for which the m matrices that record the transition probabilities in each of the lattice directions commute pairwise. One reason such processes are of interest is that the transition matrix is straightforward to diagonalize, and hence it is easy to compute n step transition probabilities. The set of commuting birth-and-death processes decomposes as a union of toric varieties, with the main component being the closure of all processes whose nearest neighbor transition probabilities are positive. We exhibit an explicit monomial parametrization for this main component, and we explore the boundary components using primary decomposition.

Citation

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Steven N. Evans. Bernd Sturmfels. Caroline Uhler. "Commuting birth-and-death processes." Ann. Appl. Probab. 20 (1) 238 - 266, February 2010. https://doi.org/10.1214/09-AAP615

Information

Published: February 2010
First available in Project Euclid: 8 January 2010

zbMATH: 1200.60072
MathSciNet: MR2582648
Digital Object Identifier: 10.1214/09-AAP615

Subjects:
Primary: 13P10 , 60C05 , 60J22 , 68W30

Keywords: binomial ideal , Birth-and-death process , commuting variety , Graver basis , Markov basis , matroid , orthogonal polynomial , primary decomposition , regime switching , reversible , toric , unimodular matrix

Rights: Copyright © 2010 Institute of Mathematical Statistics

Vol.20 • No. 1 • February 2010
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