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| Content Provider | Springer Nature Link |
|---|---|
| Author | Affeldt, Reynald Hagiwara, Manabu Sénizergues, Jonas |
| Copyright Year | 2013 |
| Abstract | The most fundamental results of information theory are Shannon’s theorems. These theorems express the bounds for (1) reliable data compression and (2) data transmission over a noisy channel. Their proofs are non-trivial but are rarely detailed, even in the introductory literature. This lack of formal foundations is all the more unfortunate that crucial results in computer security rely solely on information theory: this is the so-called “unconditional security”. In this article, we report on the formalization of a library for information theory in the SSReflect extension of the Coq proof-assistant. In particular, we produce the first formal proofs of the source coding theorem, that introduces the entropy as the bound for lossless compression, and of the channel coding theorem, that introduces the capacity as the bound for reliable communication over a noisy channel. |
| Starting Page | 63 |
| Ending Page | 103 |
| Page Count | 41 |
| File Format | |
| ISSN | 01687433 |
| Journal | Journal of Automated Reasoning |
| Volume Number | 53 |
| Issue Number | 1 |
| e-ISSN | 15730670 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2013-12-11 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Information theory Shannon’s theorems Noisy-channel coding theorem Coq SSReflect Mathematical Logic and Formal Languages Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Symbolic and Algebraic Manipulation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computational Theory and Mathematics Software |
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