A Potential Theory of General Spatially-Coupled Systems via a Continuum Approximation
Keigo Takeuchi, Toshiyuki Tanaka, and Kenta Kasai

TL;DR
This paper develops a potential theory for multi-dimensional spatially-coupled systems using continuum approximation, showing that fixed boundary conditions lead to optimal performance as system size grows.
Contribution
It introduces a continuum approximation framework for analyzing general spatially-coupled systems with multi-dimensional coupling.
Findings
Potential functions characterize system performance.
Fixed boundary conditions lead to optimal asymptotic performance.
The approach applies to systems of any coupling dimension.
Abstract
This paper analyzes general spatially-coupled (SC) systems with multi-dimensional coupling. A continuum approximation is used to derive potential functions that characterize the performance of the SC systems. For any dimension of coupling, it is shown that, if the boundary of the SC systems is fixed to the unique stable solution that minimizes the potential over all stationary solutions, the systems can approach the optimal performance as the number of coupled systems tends to infinity.
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
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Distributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization
