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slug: godsil-2023-average-mixing-trace-maximum bibkey: godsil2023diagonal doi: 10.48550/arXiv.1910.02039 url: https://arxiv.org/abs/1910.02039v1 triage: theorem motivation_gids:

  • D5/S3/Quantum/Dynamics/AverageMixingTraceMaximum.result

The complete graph maximizes the trace of the average mixing matrix

Problem

Chris Godsil, Krystal Guo and Mariia Sobchuk, Diagonal entries of the average mixing matrix, arXiv:1910.02039v1, Section 9 (Conjecture 9.1 of Australas. J. Combin. 86(3) (2023) 373–386), write:

Based on the computations summarized in Table 2 and on Corollary 6.3, we also make the following conjecture. The complete graph on vertices attains the maximum trace with respect to the for all .

For a graph with adjacency matrix over its distinct eigenvalues, the orthogonal projection onto the -eigenspace, the average mixing matrix of the continuous quantum walk is (Schur product), and .

The precise question, preregistered in issue #11821, is whether for every and every connected graph on vertices. Over all graphs the statement is false: the empty graph has and trace . The paper’s Laplacian results on the maximum trace are stated for connected graphs, and A. Mohan, C. Tamon, Y. Xu and H. Zhan (arXiv:2608.20739, 2026) restate the conjecture over connected graphs.

Motivation

The diagonal entry is the long-run average probability that the walk started at is found at , so the trace measures how lazy the walk is. The frozen declaration D5/S3/Quantum/Dynamics/AverageMixingTraceMaximum.result proves that among connected graphs on vertices the complete graph is the laziest for the adjacency Hamiltonian, the counterpart of the paper’s Laplacian result.

Gap

Issue #11821 classifies the question as Tier 1 and records the bounded literature check before any Lean: the four citing works listed by Semantic Scholar (arXiv:2608.20739, 2404.02236, 2308.16378, 2211.02037) were searched; arXiv:2608.20739 restates the conjecture as open and proves Laplacian results only, and the others cite the paper generally. Web searches for the average mixing matrix with trace, maximum and complete graph, for the coauthor’s thesis, and for vertex bounds on graph angles found no proof; google-deepmind/formal-conjectures has no entry.

These are orchestrator-reported literature readings, not-found-in-searched-scope; they do not establish exhaustive worldwide novelty or exclude an independent answer. The graph-angle literature (Cvetković–Rowlinson–Simić, Eigenspaces of Graphs) was not read.

Route

  1. For a vertex with a neighbour and an eigenvalue , put and . Then , and , so the coordinates of off have squared norm .
  2. Cauchy–Schwarz on the eigen-equation at gives . At a neighbour of , is a combination over vertices other than , so .
  3. Eliminating gives , hence and .
  4. The numbers are nonnegative with sum and each is at most , so $(\widehat M_A){aa}=\sum\theta(E_\theta)_{aa}^2\le 1-2/n+2/n^2n\ge2$ has a neighbour, so ; for the trace is .
  5. For with , : an eigenvector with eigenvalue other than is constant with eigenvalue , and leaves exactly one such eigenbasis vector, so , and .

Falsifier

A connected graph on vertices whose average mixing matrix with respect to the adjacency matrix has trace greater than would falsify the conjecture; the kernel-checked result excludes it. Replacing the adjacency matrix by another Hamiltonian, or dropping connectivity, changes the question.

Evidence

The canonical source is D5/S3/Quantum/Dynamics/AverageMixingTraceMaximum.lean; the only public theorem is result : claim. The public definitions are the spectral idempotent idempotent, the average mixing matrix avgMixing and claim.

  • Module statement identity: sha256:e9ed4aafa0539ad392a8da26418ae5af60eaf51671d3d661f56e05577edd7ac5.
  • result: sha256:543de5ce995d1f90520172a150daffb22fe40d8024fbab20b31098cb15fd7dd0.
  • claim: sha256:6886baf6f8f18b6815d1b15135636c68dd967e4517343a3140921b3dd9f47e86.
  • avgMixing: sha256:7611a60f0f8b9b05283e0dfe4e1ecda2ba69c0aa90a6b731bbba19c013596049.
  • idempotent: sha256:64ed2f0892f8f978123e3bf15ad51c0d5ff7dc5b38413a148671ba2d3f512d5a.
  • Freeze event: sha256:4219620e5a540f5ea48ae5ee766904b8e95a474f3e74c4ec82c1208c48408599.

The proof uses only propext, Classical.choice and Quot.sound, with no native_decide, sorry or new axiom. Inside result, the local fact vertex_bound proves steps 1–3 for any vector with and ; the local fact simplex_bound proves step 4; the local fact complete_diag proves step 5.

Triage

Tier 1 published conjecture; resolution Proved by D5/S3/Quantum/Dynamics/AverageMixingTraceMaximum.result. proof_shape: content; admission_basis: open-problem-resolution (issue #11821). Utility none: the result is a theorem over every .

What the settlement shows

  • Proved inside result, as local facts: vertex_bound gives at every vertex with a neighbour, for every simple graph on vertices, and simplex_bound turns it into ; neither assumes connectivity, which result uses only to give every vertex a neighbour.
  • Follows from those local facts, not stated as a declaration: the trace bound holds for every graph on vertices without isolated vertices. Isolated vertices are exactly where the literal all-graphs reading fails, each contributing to the trace.
  • Proved in this module: the per-vertex bound is attained at every vertex of , where and .
  • Computed, not formalized: over every graph of the NetworkX atlas with at most vertices, the maximum of the vertex bound equals and the maximum trace over connected graphs is attained only by (issue #11821).
  • Open: uniqueness of the maximizer. Equality in the trace bound forces equality in step 3 at every vertex, hence every vertex adjacent to all others; this equality analysis is not formalized here. The paper’s companion questions on the minimum trace and on graphs with constant diagonal remain open here.
  • Open follow-up: whether the second laziest connected graph is the star , which arXiv:2608.20739 raises from data on at most 9 vertices. No additional theorem is included in this settlement.

ASSUMED-UNVERIFIED

The bounded literature check does not establish worldwide priority or absence of an independent solution; in particular the vertex bound may be known in the graph-angle literature, which was not read. The Lean kernel verifies the encoded statement and its axiom closure; correspondence to the external paper is checked by reading the source, the definitions and the mirror. The independence of idempotent from the chosen orthonormal eigenbasis is a standard fact stated in its docstring and not formalized in this module.