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arxiv: 2604.26385 · v1 · submitted 2026-04-29 · 🧮 math.CO

On a conjecture of distance spectral extremal problems

Pith reviewed 2026-05-07 11:22 UTC · model grok-4.3

classification 🧮 math.CO
keywords distance spectral radiusextremal graph theoryconjecturepath complementsspectral radius minimizationconnected graphs with m edges
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The pith

The complement of balanced disjoint paths minimizes the distance spectral radius for any number of edges.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper solves the conjecture that among all connected graphs with exactly m edges, the one with smallest distance spectral radius is always the complement of a balanced disjoint union of paths. It gives a single proof that works for the full range of the auxiliary parameter s from 1 to n-1, covering both the previously settled large-s cases and the open small-s cases. The result therefore completely characterizes the extremal graph in terms of n and s derived from m. A reader cares because the distance spectral radius encodes global distance structure, so knowing its minimizer supplies a concrete structural description for how to arrange m edges to keep all pairwise distances as small as possible in the spectral sense.

Core claim

For every m ≥ 3 let n satisfy binom(n-1,2) < m ≤ binom(n,2) and write m = binom(n-1,2) + s with 1 ≤ s ≤ n-1. The unique graph in the class G(m) of connected m-edge graphs that minimizes the distance spectral radius ρ(G) is the complement of a balanced disjoint union of paths, denoted overline{P_{n,s+1}}.

What carries the argument

Comparison principle for ordering distance spectral radii of candidate graphs, supported by increment analysis of Φ-functions on paths and cycles together with path-balancing and Neumann-series walk counting.

If this is right

  • The extremal graph is unique for every m.
  • One proof technique now covers the entire range of s.
  • Balancing the lengths of the paths in the complement is essential for minimality.
  • All earlier partial results for large s are recovered as special cases.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same structural description may govern minimizers for other distance-based matrices such as the distance Laplacian.
  • The comparison and increment techniques could be tested on small explicit graphs to give independent verification for small s.
  • The result supplies a candidate construction for network-design problems that seek to minimize average or spectral distance.

Load-bearing premise

The comparison principle and Φ-function increment analysis correctly rank the distance spectral radii of every graph in G(m) even when s is small.

What would settle it

A single connected graph with m edges whose distance spectral radius is strictly smaller than that of overline{P_{n,s+1}} would disprove the claim.

read the original abstract

Brualdi and Hoffman proposed a well-known problem of determining the graph with maximum adjacency spectral radius among all graphs with given size $m$. Early work by Friedland and Stanley addressed some specific cases. This problem was later completely solved by Rowlinson and recently revisited by Cheng and Weng. Pioneering work on the distance matrix was carried out by Graham and Pollak, as well as by Graham and Lov\'{a}sz. The distance spectral radius $\rho (G)$ of a connected graph $G$ is the largest eigenvalue of its distance matrix. In this paper, we completely solve the problem of characterizing the connected graph with minimum distance spectral radius among all graphs with size $m$. Let $\mathcal{G}(m)$ be the class of connected graphs with $m$ edges. For every $m \ge 3$, let $n$ be the unique integer satisfying $\binom{n-1}{2} < m \le \binom{n}{2}$, and we write $m = \binom{n-1}{2} + s$ with $1 \le s \le n-1$. Recently, Lin and Zhou [Adv. in Appl. Math. 173 (2026)] investigated the graph in $\mathcal{G}(m)$ that minimizes $\rho(G)$ in the range $s \ge \max\{ \frac{n-6}{2}, 1\}$. However, the problem is much more difficult in the remaining range $1 \le s \le \frac{n-7}{2}$, and they conjectured that the unique minimizer is $\overline{P_{n,s+1}}$, the complement of a balanced disjoint union of paths. Using novel matrix analysis, we solve this conjecture in the affirmative. Moreover, we provide a new unified proof for the entire range $1 \le s \le n-1$. The key ingredients in our proof argument include an innovative comparison principle for the distance spectral radius, an increment analysis of $\Phi$-functions on paths and cycles, an argument for balancing path lengths, and a walk enumeration technique via the Neumann series.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper claims a complete affirmative solution to the conjecture of Lin and Zhou: among all connected graphs with m edges (where m = binom(n-1,2) + s and 1 ≤ s ≤ n-1), the unique graph minimizing the distance spectral radius ρ(G) is the complement of a balanced disjoint union of paths, denoted overline{P_{n,s+1}}. The authors supply a new unified proof covering the full range, including the previously open interval 1 ≤ s ≤ (n-7)/2, via a novel comparison principle for ρ(D), increment analysis of Φ-functions on paths and cycles, a balancing argument, and walk enumeration through the Neumann series.

Significance. If the central arguments hold, the result fully characterizes the distance-spectral minimizers in G(m) for every m ≥ 3, closing the gap left by Lin and Zhou’s work on the larger-s regime. The introduction of a comparison principle and Φ-increment analysis constitutes a methodological contribution that could extend to other distance-matrix extremal problems.

major comments (2)
  1. [Proof of the main result for the difficult range (high-level description in abstract and §3)] The novel comparison principle for the distance spectral radius (invoked throughout the proof of the main theorem for 1 ≤ s ≤ (n-7)/2) is load-bearing for both the minimality and uniqueness claims, yet the manuscript provides no independent verification—such as explicit eigenvalue computations or exhaustive checks on small-n instances in this regime—where the path-complement structure is most unbalanced; this directly addresses the skeptic’s concern about unverified ordering of candidate graphs.
  2. [Increment analysis and balancing argument (abstract and corresponding proof section)] The increment analysis of Φ-functions on paths and cycles, combined with the balancing argument, is used to establish that any graph in G(m) has ρ at least as large as that of overline{P_{n,s+1}}; however, the manuscript does not supply an explicit check that the strict inequality is preserved for all non-isomorphic pairs when s ≤ (n-7)/2, which is required to support the uniqueness assertion.
minor comments (2)
  1. [Introduction] The citation to Lin and Zhou (Adv. in Appl. Math. 173 (2026)) should include a note clarifying its status, as the year is in the future relative to the arXiv posting.
  2. [Introduction and Theorem 1.1] Notation for overline{P_{n,s+1}} and the precise definition of the balanced path union could be restated explicitly in the statement of the main theorem for reader convenience.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading of our manuscript and the constructive feedback. We respond to each major comment below, indicating the revisions we plan to make.

read point-by-point responses
  1. Referee: [Proof of the main result for the difficult range] The novel comparison principle for the distance spectral radius is load-bearing for both the minimality and uniqueness claims, yet the manuscript provides no independent verification—such as explicit eigenvalue computations or exhaustive checks on small-n instances in this regime—where the path-complement structure is most unbalanced.

    Authors: We acknowledge that the manuscript relies on the theoretical development of the comparison principle without additional numerical checks for the range 1 ≤ s ≤ (n-7)/2. To address this concern and provide reassurance regarding the ordering of candidate graphs, we will add a new subsection in the revised version containing explicit computations of the distance spectral radius for small n (e.g., n ≤ 12) in the relevant s range, comparing the proposed minimizer with other potential candidates. This will serve as independent verification. revision: yes

  2. Referee: [Increment analysis and balancing argument] The increment analysis of Φ-functions on paths and cycles, combined with the balancing argument, is used to establish that any graph in G(m) has ρ at least as large as that of overline{P_{n,s+1}}; however, the manuscript does not supply an explicit check that the strict inequality is preserved for all non-isomorphic pairs when s ≤ (n-7)/2, which is required to support the uniqueness assertion.

    Authors: The balancing argument shows that unbalanced partitions lead to strictly larger Φ values, and thus larger ρ, with equality only for isomorphic graphs. However, we agree that making the strictness explicit for non-isomorphic cases in the difficult range would strengthen the uniqueness proof. In the revision, we will expand the relevant section to include a detailed case analysis or additional lemmas demonstrating that the inequality is strict unless the graphs are isomorphic. revision: yes

Circularity Check

0 steps flagged

No circularity: proof deploys novel comparison principle and Φ-increment analysis as independent tools

full rationale

The derivation chain rests on four explicitly introduced techniques—an innovative comparison principle for ρ(D), increment analysis of Φ-functions on paths/cycles, a balancing argument for path lengths, and Neumann-series walk enumeration—none of which are shown to reduce by the paper’s own equations to the target minimizer or to any fitted parameter. The conjecture itself originates in prior work by Lin and Zhou (distinct authors), and the present manuscript supplies a unified proof rather than invoking self-citation as load-bearing justification. No equation or step equates the claimed extremal graph to a quantity defined in terms of itself or to a statistical fit on the same data; the argument therefore remains self-contained.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The proof rests on standard linear algebra (eigenvalue properties of symmetric matrices) and graph-theoretic facts (connectedness, distance matrix definition) with no free parameters fitted to data, no invented entities, and no ad-hoc axioms beyond those already established in the literature.

axioms (1)
  • standard math The distance matrix of a connected graph is symmetric and nonnegative with positive off-diagonal entries for non-adjacent vertices.
    Invoked implicitly when applying spectral radius comparisons and Neumann series expansion.

pith-pipeline@v0.9.0 · 5688 in / 1281 out tokens · 47004 ms · 2026-05-07T11:22:12.389778+00:00 · methodology

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Reference graph

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