Chain Rules for Rényi Information Combining

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Christoph Hirche
  • Xinyue Guan
  • Marco Tomamichel

External Research Organisations

  • Technical University of Munich (TUM)
  • National University of Singapore
  • River Valley High School (RVHS)
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Details

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Information Theory, ISIT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages204-209
Number of pages6
ISBN (electronic)9781665475549
Publication statusPublished - 2023
Externally publishedYes
Event2023 IEEE International Symposium on Information Theory, ISIT 2023 - Taipei, Taiwan
Duration: 25 Jun 202330 Jun 2023

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2023-June
ISSN (Print)2157-8095

Abstract

Bounds on information combining are a fundamental tool in coding theory, in particular when analyzing polar codes and belief propagation. They usually bound the evolution of random variables with respect to their Shannon entropy. In recent work this approach was generalized to Rényi a-entropies. However, due to the lack of a traditional chain rule for Rényi entropies the picture remained incomplete. In this work we establish the missing link by providing Rényi chain rules connecting different definitions of Rényi entropies by Hayashi and Arimoto. This allows us to provide new information combining bounds for the Arimoto Rényi entropy. In the second part, we generalize the chain rule to the quantum setting and show how they allow us to generalize results and conjectures previously only given for the von Neumann entropy. In the special case of a = 2 we give the first optimal information combining bounds with quantum side information.

ASJC Scopus subject areas

Cite this

Chain Rules for Rényi Information Combining. / Hirche, Christoph; Guan, Xinyue; Tomamichel, Marco.
2023 IEEE International Symposium on Information Theory, ISIT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 204-209 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2023-June).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Hirche, C, Guan, X & Tomamichel, M 2023, Chain Rules for Rényi Information Combining. in 2023 IEEE International Symposium on Information Theory, ISIT 2023. IEEE International Symposium on Information Theory - Proceedings, vol. 2023-June, Institute of Electrical and Electronics Engineers Inc., pp. 204-209, 2023 IEEE International Symposium on Information Theory, ISIT 2023, Taipei, Taiwan, 25 Jun 2023. https://doi.org/10.1109/ISIT54713.2023.10206941
Hirche, C., Guan, X., & Tomamichel, M. (2023). Chain Rules for Rényi Information Combining. In 2023 IEEE International Symposium on Information Theory, ISIT 2023 (pp. 204-209). (IEEE International Symposium on Information Theory - Proceedings; Vol. 2023-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT54713.2023.10206941
Hirche C, Guan X, Tomamichel M. Chain Rules for Rényi Information Combining. In 2023 IEEE International Symposium on Information Theory, ISIT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 204-209. (IEEE International Symposium on Information Theory - Proceedings). doi: 10.1109/ISIT54713.2023.10206941
Hirche, Christoph ; Guan, Xinyue ; Tomamichel, Marco. / Chain Rules for Rényi Information Combining. 2023 IEEE International Symposium on Information Theory, ISIT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 204-209 (IEEE International Symposium on Information Theory - Proceedings).
Download
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abstract = "Bounds on information combining are a fundamental tool in coding theory, in particular when analyzing polar codes and belief propagation. They usually bound the evolution of random variables with respect to their Shannon entropy. In recent work this approach was generalized to R{\'e}nyi a-entropies. However, due to the lack of a traditional chain rule for R{\'e}nyi entropies the picture remained incomplete. In this work we establish the missing link by providing R{\'e}nyi chain rules connecting different definitions of R{\'e}nyi entropies by Hayashi and Arimoto. This allows us to provide new information combining bounds for the Arimoto R{\'e}nyi entropy. In the second part, we generalize the chain rule to the quantum setting and show how they allow us to generalize results and conjectures previously only given for the von Neumann entropy. In the special case of a = 2 we give the first optimal information combining bounds with quantum side information.",
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