REVIEW 5 minor 2 cited by
Maximizing Alternating Paths via Entropy
T0 review · 0 major / 5 minor · reviewed 2026-08-15 · deepseek-v4-flash
Pith's one-line read The paper proves a sharp, asymptotically tight bound on red-blue alternating walks of every odd length in any edge-coloured graph.
desk verdict A solid entropy-method proof of the odd alternating path bound, with the main risk being a lengthy computer-inspired case analysis that is only spot-checked. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
An auxiliary edge-coloured forest H_{2k+1}. Starting from P^A_{2k+1}, the construction attaches pendant red and blue edges, two-edge pendant paths, isolated edges, and isolated vertices in multiplicities encoded by three symmetric integer vectors x, y, z (Definition 4.1). A homomorphism from H_{2k+1} to the path covers every vertex and every edge exactly k(k+1)^2(2k+1)+1 times; because H_{2k+1} is a forest, this covering lets the entropy lemma (Lemma 3.15) produce a random homomorphism from H_{2k+1} to G whose entropy is exactly e(H_{2k+1})/e(P^A_{2k+1}) times the entropy of a uniform random homomorphism from the path to G. That gives the lower comparison t(P)^{1/e(P)} ≤ t(H)^{1/e(H)}. A separate degree-counting argument bounds t(H) from above by a constant power of t(P), and the two inequalities sandwich t(P) into the claimed constant.
What would settle it
For k=2 and n=5, enumerate all $2^{{10}}$ red/blue colourings of K_5 and compute, for each, the number of homomorphisms from the six-vertex alternating path P^A_5 into the coloured graph; if any colouring yields more than 540 homomorphisms—equivalently t(P^A_5,G) > 108/3125—Theorem 1.2 is false. If no colouring exceeds 540, the k=2 case passes its smallest exact test.
Extended reading notes
Core claim
Theorem 1.2 is the paper's central discovery: for every k≥1 and every edge-coloured graph G, t(P^A_{2k+1},G) ≤ k^k(k+1)^{k+1}(2k+1)^{-2k-1}, where t is the homomorphism density—the probability that a uniformly random map of the path's vertices into G respects adjacency and edge colours. The constant is asymptotically tight: a graph where every vertex has red degree about (k+1)/(2k+1)n and blue degree about k/(2k+1)n realizes the bound in the limit. The theorem resolves the odd alternating path case of a problem stated in [2] and complements the known even-length result t(P^A_{2k},G) ≤ (1/2)^{2k}. The proof works with homomorphisms, which need not be injective, rather than copies; the paper notes the two formulations agree up to lower-order terms.
Load-bearing premise
The proof rests on an exact bookkeeping identity for every k — the integer vectors x, y, z define a forest whose natural homomorphism to the alternating path covers every vertex and edge an equal number of times — and this identity is verified only by a lengthy appendix case analysis, so a single missed case or algebraic slip would collapse Lemma 2.1 and hence Theorem 1.2.
Editorial extensions
If this is right
- The odd alternating path problem in the semi-inducibility framework is settled: the homomorphism density of P^A_{2k+1} is asymptotically at most the explicit constant, and this is best possible.
- The same kind of construction with a simpler forest H_{2k} reproduces the even-length bound t(P^A_{2k},G) ≤ (1/2)^{2k}, giving a second proof of that result.
- Near-extremal graphs must have a red/blue degree split close to the ratio (k+1):k, so the extremal examples are explicit and not exotic.
- The entropy comparison of Section 3 applies to any edge-coloured forest that evenly covers a target path, so the method is a general tool for path and forest semi-inducibility rather than a one-off calculation.
- For trees with r colours and one edge of each colour at each non-leaf, the same argument yields a multicolour bound of (1/r)^{e(T)}.
Reading between the lines
- The paper's linear-programming search suggests a recipe for other targets: for any edge-coloured tree, one can set up a small linear program whose feasible integer solutions are exactly the auxiliary forests needed for an entropy proof; the same search could be run for alternating cycles of length 4k+2, where no covering forest is currently known.
- Because the lower comparison (2.2) is tight for a much larger family than the extremal clique—any graph with prescribed red and blue degrees—the equality cases of the entropy argument may characterize 'locally balanced' graphs and could support a stability version of Theorem 1.2.
- A direct corollary not drawn in the paper: the covering-forest strategy should yield exact density bounds for alternating paths with any fixed colour sequence, provided the target remains a tree and the corresponding linear program admits integer solutions.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper proves that for every k >= 1 and every red/blue edge-coloured graph G, the homomorphism density of the odd alternating path P^A_{2k+1} satisfies t(P^A_{2k+1}, G) <= k^k (k+1)^{k+1} (2k+1)^{-2k-1}, and that this bound is asymptotically tight. This answers Problem 9.2 of Basit, Granet, Horsley, Kündgen and Staden. The proof constructs, for each k, an explicit auxiliary edge-coloured forest H_{2k+1} defined through three integer vectors x, y, z; proves a lower bound on t(P^A_{2k+1}, G)^{1/e(P)} in terms of t(H_{2k+1}, G)^{1/e(H)} using an entropy argument (Lemma 3.15); proves an upper bound on t(H_{2k+1}, G) in terms of t(P^A_{2k+1}, G) by elementary degree counting; and then combines the two inequalities. The vectors x, y, z are chosen so that H_{2k+1} admits a homomorphism to P^A_{2k+1} covering every vertex and edge the same number of times; the verification of the required identities is carried out by a lengthy case analysis in Appendix A.
Significance. If the proof is correct, this is a substantial result: it solves an open problem on semi-inducibility for odd alternating paths and provides the first entropy-method proof of the full family. The paper is self-contained: the entropy lemmas are proved in Section 3, the auxiliary forest is constructed from scratch, and the target constant emerges algebraically rather than being assumed. The authors are also transparent about the provenance of the vectors, which were discovered by solving a linear program for k up to about 40 and then extrapolating a pattern. The main correctness risk is the heavy reliance on the case analysis in Appendix A for Lemmas 4.3 and 4.4; I spot-checked several representative values of k and found the algebra correct, but the proof does not give a conceptual reason for the identities. This is a legitimate concern but not, in my reading, a demonstrated flaw.
minor comments (5)
- [§4, proof of Lemma 2.1, paragraph after Eq. (4.6)] The accounting of edge-colour changes in the transition from H'_2k+1 to H'''_2k+1 is misleading. The text says that the number of blue edges lost is sum_j |Z^B_j| = k sum_j z_j, but deleting the Z-sets actually removes more blue edges: the Z^R_j-Z^RB_j matchings contribute (k+1)z_j blue edges and the Z^B_j-Z^BB_j matchings contribute k z_j blue edges, in addition to the k z_j blue edges from Z^B_j to v_j. The isolated blue edges added to form H'''_2k+1 then give a net loss of k sum_j z_j. The final ratio claim is true, but it should be stated as a net-change computation, not as a direct loss.
- [§4, proof of Lemma 2.1, construction of the covering homomorphism] The sentence 'it is not hard to check that each vertex v_j is covered exactly c(v_j)+1 times and each edge v_jv_{j+1} is covered exactly c(v_j,v_{j+1})+1 times' is the bridge between the construction of H_{2k+1} and Lemmas 4.3 and 4.4. Since the whole proof depends on this point, I recommend adding a short explicit derivation for the vertex and edge cover counts, especially for the Z-sets, where the blue perfect matchings make the count less immediate.
- [Appendix A] Lemma 2.1, and therefore Theorem 1.2, rests entirely on the identities in Lemmas 4.3 and 4.4, whose verification is a long case analysis over congruence classes of k. I checked several representative cases and found no error, but I recommend that the authors add an explicit statement that the listed subcases are exhaustive, and ideally provide a small symbolic verification script or computer algebra check as supplementary material. This is a robustness suggestion rather than a request based on a detected mistake.
- [§3, proof of Lemma 3.15] In the derivation of the density inequality from the homomorphism inequality, the paper uses that v(H) = v(P^A_{2k+1}) e(H)/e(P^A_{2k+1}) because the covering homomorphism covers every vertex the same number of times. The analogous vertex-count cancellation in the proof of (4.6), namely v(H'_2k+1) = v(H'''_2k+1), is never stated; I recommend adding one sentence to make that step explicit.
- [§1 and §5] There are a few typographical errors: 'asympototically' in Section 1 and 'semi-inducubility' in Section 5. These should be corrected.
Circularity Check
No significant circularity: the entropy framework and the explicit forest construction are proved in-paper, and the LP-based discovery of the vectors is a search heuristic rather than a fitted input.
full rationale
The main claim is derived from Lemma 2.1, which is proved entirely in the paper. Inequality (2.2) follows from Lemma 3.15, whose proof using entropy, the chain rule, the deconditioning lemma, and the distribution gluing lemma is self-contained in Section 3 and does not depend on any external or self-cited result for its validity. Inequality (2.3) is proved by explicit homomorphism counting: the proof deletes pendant sets, applies the elementary bound dR(u)+dB(u) <= n-1 with exponents k and k+1, and then accounts for isolated edges; the target constant emerges from these local inequalities. The forest H_{2k+1} is constructed explicitly in Definition 4.1, and Lemmas 4.3 and 4.4 verify the covering identities by direct algebra in Appendix A. Although the appendix is lengthy and would benefit from independent symbolic checking, that is a verification concern, not circularity: the identities are proved in-paper, not imported. The disclosure that the vectors x, y, z were found by solving a linear program for k up to about 40 and then extrapolating a pattern is a search heuristic; the formulas are subsequently verified for all k, and no value from the target inequality is used as an input. Self-citations such as [3] and [15] appear only for context or for standard entropy tools, and the lemmas actually needed (3.12 and 3.15) are proved in the paper with complete proofs. No step in the derivation reduces by construction to its own input, so there is no circularity.
Assumptions & free parameters
free parameters (1)
- vectors x,y,z defining H_{2k+1} =
explicit formulas in Definition 4.1 (e.g., k=1: x=(0,4,4,0), y=(2,2,2), z=(0,0,0,0))
assumptions (4)
- standard math Standard entropy facts: uniform distribution maximizes entropy; chain rule; deconditioning lemma.
- standard math Markov property for uniformly random homomorphisms from a tree: the image of a child is conditionally independent of all earlier images except the parent.
- standard math A calculus inequality: for x+y <= m, x^a y^b <= m^{a+b} (a/(a+b))^a (b/(a+b))^b.
- domain assumption The semi-inducibility problem can be studied through homomorphism densities rather than labeled copies.
Cite this review
Pith. "Pith review of Maximizing Alternating Paths via Entropy." pith.science (2026). https://pith.science/paper/YI5DSXGK
@misc{pith2026250503903,
author = {Pith},
title = {Pith review of: Maximizing Alternating Paths via Entropy},
year = {2026},
howpublished = {\url{https://pith.science/paper/YI5DSXGK}},
note = {Machine review of arXiv:2505.03903}
}
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, K\"undgen and Staden. Our proof involves an application of the entropy method.
Figures
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Forward citations
Cited by 2 Pith papers
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Semi-inducibility of 4-vertex graphs
The paper determines the semi-inducibility constants for all 4-vertex non-complete graphs except the blue-blue-red path, using flag algebra certificates and stability arguments.
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On Alternating 6-Cycles in Edge-Coloured Graphs
The density of colour-alternating 6-cycles in any red/blue edge-coloured graph is at most (1/2)^6, matching the random colouring.
Reference graph
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Reviewed August 15, 2026 · model on record in the stance chip above.
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