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One-sided versus two-sided regularity properties

Probability

Speaker: Aernout van Enter, University of Groningen
Related Webpage: https://www.rug.nl/staff/a.c.d.van.enter/
Location: Zoom
Start time: Wed, Mar 9 2022, 1:10PM

Stochastic processes can be parametrised by time (such as occurs in Markov chains), in which case conditioning is one-sided (on the past), as naturally occurs in dynamical systems, or by one-dimensional space (which is the case, for example, for one-dimensional Markov fields), as is natural in statistical mechanics, where the conditioning is two-sided (on the right and on the left). I will discuss some examples, in particular generalising this distinction to g-measures versus Gibbs measures, where, instead of a Markovian dependence, the weaker property of continuity (in the product topology) is considered. In particular I will discuss when the two descriptions (one-sided or two-sided) produce the same objects and when they are different. We show moreover the role one-dimensional entropic repulsion plays in this setting. Based on joint work with R. Bissacot, E. Endo and A. Le Ny, and S. Shlosman.