2000 character limit reached
Concentration Inequalities for Markov Jump Processes (2210.06157v1)
Published 12 Oct 2022 in math.PR
Abstract: We derive concentration inequalities for empirical means $\frac{1}{t} \int_0t f(X_s) ds$ where $X_s$ is an irreducible Markov jump process on a finite state space and $f$ some observable. Using a Feynman-Kac semigroup we first derive a general concentration inequality. Then, based on this inequality we derive further concentration inequalities. Hereby we use three different methods; perturbation theory, Poincar\'e inequalities and information inequalities. We also obtain a Bernstein type concentration inequality.