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Stochastic monotonicity and duality for one-dimensional Markov processes

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Kolokoltsov, V. N. (Vasiliĭ Nikitich). (2011) Stochastic monotonicity and duality for one-dimensional Markov processes. Mathematical Notes, Vol.89 (No.5-6). pp. 652-660. ISSN 0001-4346

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Official URL: http://dx.doi.org/10.1134/S0001434611050063

Abstract

The theory of monotonicity and duality is developed for general one-dimensional Feller processes, extending the approach from [11]. Moreover it is shown that local monotonicity conditions (conditions on the Lévy kernel) are sufficient to prove the well-posedness of the corresponding Markov semigroup and process, including unbounded coefficients and processes on the half-line.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Markov processes, Monotonic functions, Duality theory (Mathematics)
Journal or Publication Title: Mathematical Notes
Publisher: Springer
ISSN: 0001-4346
Date: June 2011
Volume: Vol.89
Number: No.5-6
Page Range: pp. 652-660
Identification Number: 10.1134/S0001434611050063
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
References: [1] W.J. Anderson. Continuous -Time Markov Chains. Probability and its Applications. Springer Series in Statistics. Springer 1991. [2] R.F. Bass. Uniqueness in law for pure jump type Markov processes. Prob. Rel. Fields 79 (1988), 271-287. [3] A. Chen and H. Zhang. Stochastic monotonicity and duality for continuous time Markov chains with general Q-matrix. Southeast Asian Bull. Math. 23:3 (1999), 383{408. [4] M.F. Chen. From Markov Chains to Non-Equilibrium Particle Systems. World Scientific, Singapore, 2 nd Ed., 2004. [5] M.F. Chen, F.Y. Wang. On order-preservation and positive correlations for multidi- mensional diffusion process. Prob. Th. Rel. Fields 95 (1993), 421-428. [6] J. Conlisk. Monotone Mobility Matrices. Journal of Mathematical Sociology 15 (1990), 173-191. [7] V. Dardoni. Monotone Mobility Matrices and Income Distribution. Social Choice and Welfare 12 (1995), 181-192. [8] S.N. Ethier, Th. G. Kurtz. Markov Processes { Characterization and Convergence. Wiley Series in Probability and Mathematical Statistics, New York Chicester: Wiley 1986. [9] N. Jacob. Pseudo-differential Operators and Markov Processes. Vol. I,II,III. London: Imperial College Press, 2001, 2002, 2005. [10] O. Kallenberg. Foundations of Modern Probability. Second ed., Springer 2002. [11] V. N. Kolokoltsov. Measure-valued limits of interacting particle systems with k-nary interactions I. Probab. Theory Relat. Fields 126 (2003), 364-394. [12] V.N. Kolokoltsov. On Markov processes with decomposable pseudo-differential generators. Stochastics and Stochastics Reports 76:1 (2004), 1-44. [13] V. N. Kolokoltsov. Nonlinear Markov Semigroups and Interacting Levy Type Processes. Journ. Stat. Physics 126:3 (2007), 585-642. [14] V. N. Kolokoltsov. Nonlinear Markov Processes and Kinetic Equations. Monograph. To appear in Cambridge University Press, 2010. [15] V. N. Kolokoltsov. The Levy-Khintchine type operators with variable Lipschitz continuous coefficients generate linear or nonlinear Markov processes and semigroups. arXiv:0911.5688v1 [Math.PR] (2009). To appear in Probability Theory Related Fields. [16] G.Q. Lang. Stochastic monotonicity and positive correlations of a type of particle systems on Polish spaces (Chinese). Acta Math. Sinica (Chin. Ser.) 52:2 (2009), 309{314. [17] E. Maasoumi. On Mobility. In: A. Ullah, D.E.A. Giles (Eds.) Handbook of Applied Economic Statistics. Marcel Dekker, New York, 1998, p. 119-175. [18] A. Mijatovic, M. Pistorius. Continuously monitored barrier options under Markov processes. arXiv:0908.4028v1 [19] G. Samorodnitski and M. Taqqu. Stochastic mootonicity and slepian-type inequalities for infinitely divisible and stable random vectors. Ann. Probab 21:1 (1993), 143-160. [20] Jie-Ming Wang. Stochastic Comparison and Preservation of Positive Correlations for Levy-type processes. Preprint 2007. [21] Y.H. Zhang Y. H. Sufficient and necessary conditions for stochastic comparability of jump processes. Acta Mathematica Sinica, English Series, 2000, 16:1 (2000), 99-102.
URI: http://wrap.warwick.ac.uk/id/eprint/39350

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