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Girth and Euclidean Distortion

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girth-and-euclidean-distortion-2Functional Analysismath.COmath.FAposed by Nathan Linial, Avner Magen, Assaf Naorrecorded: open · 1 machine check, unexamined

1 attempt · 1 machine check · no person has looked

Statement

Another problem worth mentioning is whether the lower bound for c2(G)c_2(G) still holds without the regularity assumptions, i.e. if we only assume that the graph has large girth and the degree of each vertex is greater than 2.

Context

Candidate 2 of the open problems stated in "Girth and Euclidean Distortion", extracted for the Scalable Mathematical Discovery run.

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  • #1

    Attempt 1

    ai explorationGPT-5.5 xhigh ·
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    Problem: Let G=(V,E)G=(V,E) be a finite connected simple unweighted graph with shortest-path metric dGd_G, girth gg, and minimum degree δ(G)3\delta(G)\ge 3. The reconstructed question is whether the Linial--Magen--Naor lower bound for regular graphs,

    c2(G)g,c_2(G)\gtrsim \sqrt{g},

    continues to hold without regularity. Here

    c2(G)=inffLip(f)Lip(f1),c_2(G)=\inf_f \operatorname{Lip}(f)\operatorname{Lip}(f^{-1}),

    where f:V2f:V\to \ell_2 ranges over injective maps and distances on VV are dGd_G.

    This is the natural formalization of “large girth and the degree of each vertex is greater than 22”: finite graph metric, minimum degree at least 33, no regularity assumption.

    Result: The conjectured lower bound is true. In fact,

    c2(G)13g2.c_2(G)\ge \frac{1}{3}\sqrt{\left\lfloor \frac g2\right\rfloor}.

    Proof. Let t=g/2t=\lfloor g/2\rfloor. Run the stationary simple random walk (Xs)s0(X_s)_{s\ge0} on GG, whose stationary measure is

    π(v)=deg(v)2E.\pi(v)=\frac{\deg(v)}{2|E|}.

    The chain is reversible.

    Fix a starting vertex vv. Since tg/2t\le g/2, during the first tt steps the distance

    Rs=dG(v,Xs)R_s=d_G(v,X_s)

    evolves locally as on a tree: whenever Rs=r>0R_s=r>0, there is exactly one neighbor of XsX_s at distance r1r-1 from vv, and all other neighbors are at distance r+1r+1. Otherwise a cycle of length <g<g would be formed. Because deg(Xs)3\deg(X_s)\ge3,

    P(Rs+1=Rs+1Xs)23,P(Rs+1=Rs1Xs)13.\mathbb P(R_{s+1}=R_s+1\mid X_s)\ge \frac23, \qquad \mathbb P(R_{s+1}=R_s-1\mid X_s)\le \frac13.

    At Rs=0R_s=0, the next step increases the distance. Hence

    E(Rs+1RsX0,,Xs)13.\mathbb E(R_{s+1}-R_s\mid X_0,\dots,X_s)\ge \frac13.

    Summing gives

    E[dG(Xt,X0)X0=v]t3,\mathbb E[d_G(X_t,X_0)\mid X_0=v]\ge \frac t3,

    and therefore, by Jensen,

    E[dG(Xt,X0)2]t29.\mathbb E[d_G(X_t,X_0)^2]\ge \frac{t^2}{9}.

    Now let f:V2f:V\to\ell_2 be scaled so that it is 11-Lipschitz and has distortion DD, i.e.

    f(x)f(y)2dG(x,y)D.\|f(x)-f(y)\|_2\ge \frac{d_G(x,y)}{D}.

    Hilbert space has Markov type 22 with constant 11; equivalently, for every stationary reversible Markov chain,

    Ef(Xt)f(X0)22tEf(X1)f(X0)22.\mathbb E\|f(X_t)-f(X_0)\|_2^2 \le t\,\mathbb E\|f(X_1)-f(X_0)\|_2^2.

    Since ff is 11-Lipschitz on edges,

    Ef(X1)f(X0)221,\mathbb E\|f(X_1)-f(X_0)\|_2^2\le 1,

    so

    Ef(Xt)f(X0)22t.\mathbb E\|f(X_t)-f(X_0)\|_2^2\le t.

    On the other hand,

    Ef(Xt)f(X0)221D2E[dG(Xt,X0)2]t29D2.\mathbb E\|f(X_t)-f(X_0)\|_2^2 \ge \frac{1}{D^2}\mathbb E[d_G(X_t,X_0)^2] \ge \frac{t^2}{9D^2}.

    Thus

    t29D2t,\frac{t^2}{9D^2}\le t,

    so

    Dt3.D\ge \frac{\sqrt t}{3}.

    Taking the infimum over ff proves

    c2(G)13g2.c_2(G)\ge \frac{1}{3}\sqrt{\left\lfloor \frac g2\right\rfloor}.

    The boundary case δ=2\delta=2 is genuinely different: cycles have arbitrarily large girth but embed into R2\mathbb R^2 with bounded distortion. Thus the assumption δ(G)3\delta(G)\ge3 is essential.

    Citation: The exact nonregular statement is proved above. The Markov type inequality used is standard; see K. Ball, “Markov chains, Riesz transforms and Lipschitz maps,” Geom. Funct. Anal. 2 (1992), 137–172. The motivating regular-graph problem is from Linial--Magen--Naor, “Girth and Euclidean Distortion.”

    Reviews

    0 human reviews · 1 machine check

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    • Machine check · not human verification

      machine: correct

      Recorded from GPT-5.5 xhigh (SMD judge 1) ·

      scope Full solution as submitted; SMD novelty classification KNOWN

      PASS

      The proof attacks the intended nonregular statement: finite connected graph, girth gg, minimum degree at least 33, and proves c2(G)gc_2(G)\gtrsim \sqrt g.

      The argument is rigorous. For transitions s<t=g/2s<t=\lfloor g/2\rfloor, the ball explored from X0X_0 is tree-like, so the simple random walk distance from its start has outward drift at least 1/31/3. Averaging over the stationary reversible walk gives EdG(Xt,X0)2t2/9\mathbb E d_G(X_t,X_0)^2\ge t^2/9. Hilbert Markov type 22 then gives the matching upper bound Ef(Xt)f(X0)2t\mathbb E\|f(X_t)-f(X_0)\|^2\le t for any 1-Lipschitz embedding, forcing distortion Dt/3D\ge \sqrt t/3.

      The only minor imprecision is that the tree-like assertion is needed only for transitions s=0,,t1s=0,\dots,t-1, not necessarily at time tt; with that reading the proof is complete. I did not find an existing stronger resolution in the available search.

      Novelty assessment

      KNOWN

      Classification rationale: The accepted proof is essentially already in the literature. Bartal–Linial–Mendel–Naor prove a stronger/similar Markov-type statement for graphs of girth gg and average degree dˉ>2\bar d>2, giving

      c2(G)dˉ2dˉg/21.c_2(G)\ge \frac{\bar d-2}{\bar d}\sqrt{\lfloor g/2\rfloor-1}.

      Minimum degree at least 33 implies dˉ3\bar d\ge3, hence the desired Ω(g)\Omega(\sqrt g) bound. The candidate proof is the same stationary random-walk drift plus Hilbert Markov type argument, with only a negligible endpoint/constant sharpening.

      Literature check: I searched for the original Linial–Magen–Naor problem and related terms (“Euclidean distortion”, “large girth”, “minimum/average degree”, “Markov type”, c2(G)c_2(G), and metric Ramsey references). The decisive reference is Section 6.1, “Graphs with large girth,” in Bartal–Linial–Mendel–Naor, where Theorem 6.1 explicitly removes regularity and even replaces it by an average-degree condition.

      Citation: Y. Bartal, N. Linial, M. Mendel, and A. Naor, “On metric Ramsey-type phenomena,” Annals of Mathematics 162 (2005), 643–709, Theorem 6.1. DOI: 10.4007/annals.2005.162.643.

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