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Main Author: Hirche, Christoph
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2508.19951
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author Hirche, Christoph
author_facet Hirche, Christoph
contents A fundamental question in information theory is to quantify the loss of information under a noisy channel. Partial orders are typical tools to that end, however, they are often also challenging to evaluate. For the special class of binary input symmetric output (BISO) channels, Geng et al. showed that among channels with the same capacity, the binary symmetric channel (BSC) and binary erasure channel (BEC) are extremal with respect to the more capable order. Here we extend on this result by considering partial orders based on Renyi mutual information. We establish the extremality of the BSC and BEC in this setting with respect to the generalized Renyi capacity. In the process, we also generalize the needed tools and introduce $α$-Lorenz curves.
format Preprint
id arxiv_https___arxiv_org_abs_2508_19951
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Renyi partial orders for BISO channels
Hirche, Christoph
Information Theory
A fundamental question in information theory is to quantify the loss of information under a noisy channel. Partial orders are typical tools to that end, however, they are often also challenging to evaluate. For the special class of binary input symmetric output (BISO) channels, Geng et al. showed that among channels with the same capacity, the binary symmetric channel (BSC) and binary erasure channel (BEC) are extremal with respect to the more capable order. Here we extend on this result by considering partial orders based on Renyi mutual information. We establish the extremality of the BSC and BEC in this setting with respect to the generalized Renyi capacity. In the process, we also generalize the needed tools and introduce $α$-Lorenz curves.
title Renyi partial orders for BISO channels
topic Information Theory
url https://arxiv.org/abs/2508.19951