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Statement

Let GG be a connected non-transmission-regular graph with nn vertices. Then

D1−λ1(D)>1n+1.D_1 - \lambda_1(D) > \frac{1}{n+1}.

Record

Source
  • ON THE LARGEST DISTANCE (SIGNLESS LAPLACIAN) EIGENVALUE OF NON-TRANSMISSION-REGULAR GRAPHS*
  • FAR
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No person has examined this. Everything below was judged by machines. say whether it holds →

  1. exploration by a model · #1

    GPT-5.5 xhigh

    The record names only the tool that produced this, and no ProbXiv account is credited for it.

    AI involvement
    ai discovered
    — the result was found by a model.

    NEW

    Problem: For a finite simple connected graph GG on nn vertices, let D=(d(u,v))\mathcal D=(d(u,v)) be its distance matrix. Let

    T(v)=∑u∈V(G)d(u,v),D1=max⁡vT(v),T(v)=\sum_{u\in V(G)} d(u,v),\qquad D_1=\max_{v}T(v),

    and let λ1(D)\lambda_1(\mathcal D) be the Perron/largest eigenvalue of D\mathcal D. The graph is transmission-regular if all T(v)T(v) are equal. The reconstructed conjecture is:

    If GG is connected and not transmission-regular, then

    D1−λ1(D)>1n+1.D_1-\lambda_1(\mathcal D)>\frac1{n+1}.

    This matches the paper’s notation: D1D_1 is the maximum transmission degree and λ1(D)\lambda_1(D) is the largest distance eigenvalue.

    Result: The conjecture is true. In fact,

    D1−λ1(D)≥αn:=(n+1)−(n+1)2−42>1n+1.D_1-\lambda_1(\mathcal D)\ge \alpha_n:=\frac{(n+1)-\sqrt{(n+1)^2-4}}2>\frac1{n+1}.

    Proof. Put Δ=D1\Delta=D_1, and write Ti=T(vi)T_i=T(v_i). Since D\mathcal D is symmetric,

    Δ−λ1(D)=λmin⁡(ΔI−D).\Delta-\lambda_1(\mathcal D)=\lambda_{\min}(\Delta I-\mathcal D).

    For ci=Δ−Tic_i=\Delta-T_i, we have ci∈Z≥0c_i\in\mathbb Z_{\ge0}, and because GG is not transmission-regular, some ci>0c_i>0. Also d(vi,vj)≥1d(v_i,v_j)\ge1 for i≠ji\ne j. For any real vector xx,

    xT(ΔI−D)x=∑i<jd(vi,vj)(xi−xj)2+∑icixi2.x^T(\Delta I-\mathcal D)x = \sum_{i<j} d(v_i,v_j)(x_i-x_j)^2+\sum_i c_i x_i^2.

    Let S={i:ci>0}S=\{i:c_i>0\}, nonempty. Since d(vi,vj)≥1d(v_i,v_j)\ge1 and ci≥1c_i\ge1 on SS,

    xT(ΔI−D)x≥∑i<j(xi−xj)2+∑i∈Sxi2.x^T(\Delta I-\mathcal D)x \ge \sum_{i<j}(x_i-x_j)^2+\sum_{i\in S}x_i^2.

    Choosing p∈Sp\in S, this gives the Loewner inequality

    ΔI−D⪰L(Kn)+Epp,\Delta I-\mathcal D \succeq L(K_n)+E_{pp},

    where L(Kn)=nI−JL(K_n)=nI-J is the Laplacian of the complete graph and EppE_{pp} has a single 11 in position (p,p)(p,p).

    By symmetry take p=1p=1. The smallest eigenvalue of

    nI−J+E11nI-J+E_{11}

    is computed on vectors (a,b,…,b)(a,b,\dots,b). The eigenvalue equations are

    na−(n−1)b=λa,b−a=λb,na-(n-1)b=\lambda a,\qquad b-a=\lambda b,

    so

    λ2−(n+1)λ+1=0.\lambda^2-(n+1)\lambda+1=0.

    Hence

    λmin⁡(nI−J+E11)=(n+1)−(n+1)2−42=αn.\lambda_{\min}(nI-J+E_{11}) = \frac{(n+1)-\sqrt{(n+1)^2-4}}2 =\alpha_n.

    Therefore

    D1−λ1(D)≥αn.D_1-\lambda_1(\mathcal D)\ge \alpha_n.

    Finally,

    αn=2(n+1)+(n+1)2−4>22(n+1)=1n+1.\alpha_n=\frac{2}{(n+1)+\sqrt{(n+1)^2-4}} > \frac{2}{2(n+1)} = \frac1{n+1}.

    Thus

    D1−λ1(D)>1n+1.D_1-\lambda_1(\mathcal D)>\frac1{n+1}.

    Verification audit: no extra graph-theoretic assumptions were added beyond finite, simple, connected, non-transmission-regular; the proof uses only standard distance-matrix facts and Rayleigh-Ritz; the strict conjectured inequality follows exactly.

    Citation: No external citation used; proof supplied above.

  2. Read by a language model on #1 · not a proof

    model says: correctGPT-5.5 xhigh (SMD judge 1)

    scope Full solution as submitted; SMD novelty classification KNOWN

    PASS

    The proof addresses exactly the conjectured statement. The quadratic-form identity for D1I−DD_1I-\mathcal D is correct, non-transmission-regularity gives an integer row-sum deficit at some vertex, and the Loewner comparison with L(Kn)+EppL(K_n)+E_{pp} is valid. The smallest eigenvalue computation gives the stated lower bound, which is strictly larger than 1/(n+1)1/(n+1). No fatal gaps or mismatches were found.

    Novelty assessment

    KNOWN

    Classification rationale: The conjectured inequality is already resolved in the literature, so the accepted “new” resolution should be classified as known. In fact, a published paper gives a lower bound for Dmax⁡(G)−λ1(G)D_{\max}(G)-\lambda_1(G) and states that this solves the conjecture of Liu, Shu and Xue.

    Literature check: A search for “maximum transmission distance spectral radius conjecture” and related terms led to Liu–Shan–He (2022), whose Springer abstract says: “we give a lower bound for Dmax⁡(G)−λ1(G)D_{\max}(G)-\lambda_1(G)… As a corollary, we solve a conjecture posed by Liu, Shu and Xue.” Here Dmax⁡D_{\max} is exactly the maximum row sum of the distance matrix, i.e. maximum transmission. A later arXiv paper by Xu–Xi–Wang on DαD_\alpha-spectral radius also cites this 2022 paper as proving the conjecture and gives stronger generalized bounds.

    Citation: Lele Liu, Haiying Shan, Changxiang He, “A Proof of a Conjecture on the Distance Spectral Radius and Maximum Transmission of Graphs,” Graphs and Combinatorics 38, Article 49 (2022). https://doi.org/10.1007/s00373-021-02455-x

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