Abstract
Two finite Markov generators L and \(\widetilde L\) are said to be intertwined if there exists a Markov kernel Λ such that \(L\varLambda =\varLambda \widetilde L\). The goal of this paper is to investigate the equivalence relation between finite Markov generators obtained by imposing mutual intertwinings through invertible Markov kernels, in particular its links with the traditional similarity relation. Some consequences on the comparison of speeds of convergence to equilibrium for finite irreducible Markov processes are deduced. The situation of infinite state spaces is also quickly mentioned, by showing that the Laplacians of isospectral compact Riemannian manifolds are weakly Markov-similar.
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References
P. Bérard, Variétés riemanniennes isospectrales non isométriques. Astérisque (177–178), Exp. No. 705, 127–154 (1989). Séminaire Bourbaki, vol. 1988/89
P. Bérard, Transplantation et isospectralité. I. Math. Ann. 292(3), 547–559 (1992). https://doi.org/10.1007/BF01444635
P. Bérard, Transplantation et isospectralité. II. J. Lond. Math. Soc. (2) 48(3), 565–576 (1993). https://doi.org/10.1112/jlms/s2-48.3.565
P. Del Moral, M. Ledoux, L. Miclo, On contraction properties of Markov kernels. Probab. Theory Relat. Fields 126(3), 395–420 (2003). https://doi.org/10.1007/s00440-003-0270-6
P. Diaconis, J.A. Fill, Strong stationary times via a new form of duality. Ann. Probab. 18(4), 1483–1522 (1990)
P. Diaconis, L. Miclo, On times to quasi-stationarity for birth and death processes. J. Theor. Probab. 22(3), 558–586 (2009). https://doi.org/10.1007/s10959-009-0234-6
P. Diaconis, L. Miclo, On quantitative convergence to quasi-stationarity (2014). Available at http://hal.archives-ouvertes.fr/hal-01002622
E.B. Dynkin, Markov processes, in Translated with the Authorization and Assistance of the Author by J. Fabius, V. Greenberg, A. Maitra, G. Majone, vols. I, II. Die Grundlehren der Mathematischen Wissenschaften, Bände 121, vol. 122 (Academic, New York, 1965)
S.N. Ethier, T.G. Kurtz, Markov Processes: Characterization and Convergence. Wiley Series in Probability and Mathematical Statistics: Probability and Mathematical Statistics (Wiley, New York, 1986)
C.S. Gordon, Survey of isospectral manifolds, in Handbook of Differential Geometry, vol. I (North-Holland, Amsterdam, 2000), pp. 747–778. https://doi.org/10.1016/S1874-5741(00)80009-6
N. Ikeda, S. Watanabe, Stochastic Differential Equations and Diffusion Processes. North-Holland Mathematical Library, vol. 24, 2nd edn. (North-Holland, Amsterdam, 1989)
M. Kac, Can one hear the shape of a drum? Am. Math. Mon. 73(4, Part II), 1–23 (1966)
L. Miclo, On absorption times and Dirichlet eigenvalues. ESAIM Probab. Stat. 14, 117–150 (2010). https://doi.org/10.1051/ps:2008037
L. Miclo, On the Markov commutator (2015). Preprint available at https://hal.archives-ouvertes.fr/hal-01143511
S. Pal, M. Shkolnikov, Intertwining diffusions and wave equations (2013). ArXiv e-prints
P. Patie, M. Savov, Spectral expansions of non-self-adjoint generalized Laguerre semigroups (2015). ArXiv e-prints
L.C.G. Rogers, J.W. Pitman, Markov functions. Ann. Probab. 9(4), 573–582 (1981)
Acknowledgements
This paper was motivated by the presentation of Pierre Patie of his paper with Mladen Savov [16], I’m grateful to him for all the explanations he gave me. I’m also thankful to the ANR STAB (Stabilité du comportement asymptotique d’EDP, de processus stochastiques et de leurs discrètisations) for its support.
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Miclo, L. (2018). On the Markovian Similarity. In: Donati-Martin, C., Lejay, A., Rouault, A. (eds) Séminaire de Probabilités XLIX. Lecture Notes in Mathematics(), vol 2215. Springer, Cham. https://doi.org/10.1007/978-3-319-92420-5_10
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