Beyond the Bethe Free Energy of LDPC Codes via Polymer Expansions
Nicolas Macris, Marc Vuffray

TL;DR
This paper rigorously analyzes the corrections to the Bethe free energy in LDPC codes using polymer expansions, proving that the Bethe approximation becomes exact in the large-size limit for highly noisy channels.
Contribution
It introduces a rigorous method to control loop series expansions for LDPC codes, establishing the Bethe entropy as exact in the asymptotic limit under high noise conditions.
Findings
Bethe free energy is exact for large LDPC codes over noisy channels
Polymer expansion methods effectively control loop series corrections
Results extend to more general graphical models
Abstract
The loop series provides a formal way to write down corrections to the Bethe entropy (and/or free energy) of graphical models. We provide methods to rigorously control such expansions for low-density parity-check codes used over a highly noisy binary symmetric channel. We prove that in the asymptotic limit of large size, with high probability, the Bethe expression gives an exact formula for the entropy (per bit) of the input word conditioned on the output of the channel. Our methods also apply to more general models.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsError Correcting Code Techniques · DNA and Biological Computing · Advanced Wireless Communication Techniques
