On the Products of Stochastic and Diagonal Matrices

Published: 01 Jan 2023, Last Modified: 28 Sept 2024CoRR 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Consider a stochastic matrix $P$ and diagonal matrix $D.$ In this work, we introduce Tilted matrices. A Tilted matrix is the product $D'PD$, where $D'$ is a diagonal normalization that makes the product stochastic. We then provide several results on products of Tilted matrices, which can be desirable for analyses of Markov Decision Processes. Lastly, we obtain a convergence rate result for the product of Tilted reversible matrices.
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