Abstract
Motivated by the entropy computations relevant to the evaluation of decrease in entropy in bit reset operations, the authors investigate the deficit in an entropic inequality involving two independent random variables, one continuous and the other discrete. In the case where the continuous random variable is Gaussian, we derive strong quantitative bounds on the deficit in the inequality. More explicitly it is shown that the decay of the deficit is sub-Gaussian with respect to the reciprocal of the standard deviation of the Gaussian variable. What is more, up to rational terms these results are shown to be sharp.
Original language | English (US) |
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Title of host publication | 2018 IEEE International Symposium on Information Theory, ISIT 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1973-1977 |
Number of pages | 5 |
ISBN (Print) | 9781538647806 |
DOIs | |
State | Published - Aug 15 2018 |
Event | 2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States Duration: Jun 17 2018 → Jun 22 2018 |
Publication series
Name | IEEE International Symposium on Information Theory - Proceedings |
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Volume | 2018-June |
ISSN (Print) | 2157-8095 |
Other
Other | 2018 IEEE International Symposium on Information Theory, ISIT 2018 |
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Country/Territory | United States |
City | Vail |
Period | 6/17/18 → 6/22/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.