The birthday problem and zero-error list codes
Abstract
As an attempt to bridge the gap between classical information theory and the combinatorial world of zero-error information theory, this paper studies the performance of randomly generated codebooks over discrete memoryless channels under a zero-error constraint. This study allows the application of tools from one area to the other. Furthermore, it leads to an information-theoretic formulation of the birthday problem, which is concerned with the probability that in a given population, a fixed number of people have the same birthday. Due to the lack of a closed-form expression for this probability when the distribution of birthdays is not uniform, the resulting computation is not feasible in some applications; the information-theoretic formulation, however, can be analyzed for all distributions.
Additional Information
© 2017 IEEE. This material is based upon work supported by the National Science Foundation under Grant Numbers 1321129, 1527524, and 1526771. The first author thanks Ming Fai Wong for helpful discussions regarding an earlier version of Theorem 2.Attached Files
Submitted - 1802.04719.pdf
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Additional details
- Eprint ID
- 80532
- Resolver ID
- CaltechAUTHORS:20170816-163747105
- NSF
- CCF-1321129
- NSF
- CCF-1527524
- NSF
- CCF-1526771
- Created
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2017-08-16Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field