Maximizing Alternating Paths via Entropy
Hao Chen, Felix Christian Clemen, Jonathan A. Noel
TL;DR
The paper settles the odd-length semi-inducibility problem for alternating paths in two-edge-colored graphs by proving an exact asymptotic upper bound on the homomorphism density t(P_{2k+1}^A,G) using the entropy method. Central to the approach is constructing an edge-colored forest H_{2k+1} with more edges than P_{2k+1}^A and relating their counts via entropy-based inequalities, including a detailed lower-bound construction and a nuanced upper-bound via local degree arguments. The main result is t(P_{2k+1}^A,G) ≤ k^k (k+1)^{k+1} (2k+1)^{-2k-1}, which is asymptotically tight, and the technique yields a robust framework for similar semi-inducibility problems. The authors also outline avenues for generalizing the method to broader classes of edge-colored trees, forests, and multi-color settings, suggesting rich future work.
Abstract
We prove that if $G$ is an $n$-vertex graph whose edges are coloured with red and blue, then the number of colour-alternating walks of length $2k+1$ with $k+1$ red edges and $k$ blue edges is at most $k^k(k+1)^{k+1}(2k+1)^{-2k-1}n^{2k+2}$. This solves a problem that was recently posed by Basit, Granet, Horsley, Kündgen and Staden. Our proof involves an application of the entropy method.
