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We show that the product or convex combination of two Markov operators with equivalent stationary measures need not have a stationary measure from the same measure class. More specifically, we exhibit examples of a hitherto undescribed…

Dynamical Systems · Mathematics 2025-03-14 Behrang Forghani , Vadim Kaimanovich

Generalized entropies are studied as Lyapunov functions for the Master equation (Markov chains). Three basic properties of these Lyapunov functions are taken into consideration: universality (independence of the kinetic coefficients),…

Statistical Mechanics · Physics 2007-05-23 Pavel Gorban

Using the renewal approach we prove exponential inequalities for additive functionals and empirical processes of ergodic Markov chains, thus obtaining counterparts of inequalities for sums of independent random variables. The inequalities…

Probability · Mathematics 2013-10-18 Radosław Adamczak , Witold Bednorz

We extend the classical theorems of Khintchine and Schmidt in metric Diophantine approximation to the context of self-similar measures on $\mathbb{R}^d$. For this, we establish effective equidistribution of associated random walks on…

Dynamical Systems · Mathematics 2026-02-24 Timothée Bénard , Weikun He , Han Zhang

We prove an apparently novel concentration of measure result for Markov tree processes. The bound we derive reduces to the known bounds for Markov processes when the tree is a chain, thus strictly generalizing the known Markov process…

Probability · Mathematics 2007-05-23 Leonid Kontorovich

Combining first-order logic and probability has long been a goal of AI. Markov logic (Richardson & Domingos, 2006) accomplishes this by attaching weights to first-order formulas and viewing them as templates for features of Markov networks.…

Artificial Intelligence · Computer Science 2012-06-26 Parag Singla , Pedro Domingos

A new object of the probability theory, the two-sided chain of symbols (introduced in Ref. arXiv:physics/0306170) is used to study isotropy properties of binary multi-step Markov chains with the long-range correlations. Established…

Data Analysis, Statistics and Probability · Physics 2015-06-26 S. S. Apostolov , Z. A. Mayzelis , O. V. Usatenko , V. A. Yampol'skii

We formalize and analyze the notions of stochastic monotonicity and realizable mono-tonicity for Markov Chains in continuous-time, taking values in a finite partially ordered set. Similarly to what happens in discrete-time, the two notions…

Probability · Mathematics 2016-03-08 Paolo Dai Pra , Pierre-Yves Louis , Ida Minelli

The notions of equivalence and strict equivalence for order one differential equations are introduced. The more explicit notion of strict equivalence is applied to examples and questions concerning autonomous equations and equations having…

Algebraic Geometry · Mathematics 2013-03-21 L. X. Chau Ngo , K. A. Nguyen , M. van der Put , J. Top

General Markov chains in an arbitrary phase space are considered in the framework of the operator treatment. Markov operators continue from the space of countably additive measures to the space of finitely additive measures. Cycles of…

Probability · Mathematics 2020-12-09 Alexander I. Zhdanok

We establish a one-to-one correspondence between one-sided and two-sided regular systems of conditional probabilities on the half-line that preserves the associated chains and Gibbs measures. As an application, we determine uniqueness and…

Probability · Mathematics 2007-05-23 R. Fernandez , G. Maillard

Tchakaloff's Theorem establishes the existence of a quadrature rule of prescribed degree relative to a positive, compactly supported measure that is absolutely continuous with respect to Lebesgue measure on $\mathbb{R}^{d}$. Subsequent…

Functional Analysis · Mathematics 2007-05-23 Raul E. Curto , Lawrence A. Fialkow

We consider a sequence of Markov chains $(\mathcal X^n)_{n=1,2,...}$ with $\mathcal X^n = (X^n_\sigma)_{\sigma\in\mathcal T}$, indexed by the full binary tree $\mathcal T = \mathcal T_0 \cup \mathcal T_1 \cup ...$, where $\mathcal T_k$ is…

Probability · Mathematics 2014-06-17 Peter Czuppon , Peter Pfaffelhuber

We propose a new definition of renormalized solution to linear equation with self-adjoint operator generating a Markov semigroup and bounded Borel measure on the right-hand side. We give a uniqueness result and study the structure of…

Analysis of PDEs · Mathematics 2021-03-16 Tomasz Klimsiak

Due to \v{C}encov's theorem, there exists a unique family of invariant symmetric $(0,2)$-tensor fields on the space of positive probability measures on a set of $n$-points indexed by $n\in \mathbb{N}$ under Markov embeddings. We deform…

Differential Geometry · Mathematics 2020-08-25 Hiroshi Matsuzoe , Asuka Takatsu

The paper is dedicated to studying the problem of existence and uniqueness of solutions as well as existence of and exponential convergence to invariant measures for McKean-Vlasov stochastic differential equations with Markovian switching.…

Probability · Mathematics 2022-02-02 Zhenxin Liu , Jun Ma

We give a new, two-step approach to prove existence of finite invariant measures for a given Markovian semigroup. First, we identify a convenient auxiliary measure and then we prove conditions equivalent to the existence of an invariant…

Probability · Mathematics 2016-03-15 Lucian Beznea , Iulian Cîmpean , Michael Röckner

We present a new, efficient procedure to establish Markov equivalence between directed graphs that may or may not contain cycles under the \textit{d}-separation criterion. It is based on the Cyclic Equivalence Theorem (CET) in the seminal…

Artificial Intelligence · Computer Science 2023-09-07 Tom Claassen , Joris M. Mooij

For rank 1 flat symmetric spaces, continuous orbital measures admit absolutely continuous convolution squares, except for Cartan type AI. Hence $L^1$-$L^2$ dichotomy for these spaces holds true in parallel to the compact and non-compact…

Representation Theory · Mathematics 2024-11-26 Sanjeev Kumar Gupta , Nico Spronk

We establish the weak large deviations principle for empirical measures of Markov chains on $\mathbb R^d$ under mild assumptions. In particular, no irreducibility is assumed and the initial measure may be arbitrary. The proof is entirely…

Probability · Mathematics 2026-04-24 Léo Daures
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