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Discrete Analogue of Kokarev's Bound

Updated 21 November 2025
  • The paper introduces a discrete analogue of Kokarev’s bound, establishing extremal inequalities that link graph genus, boundary size, and spectral parameters.
  • It employs refined triangulation, circle packing, and branched holomorphic mappings alongside Rayleigh quotient techniques to extend continuous bounds to discrete settings.
  • These results have significant applications in spectral geometry, quantum physics, and Boolean function analysis, revealing optimal scaling behaviors across contexts.

The discrete analogue of Kokarev’s bound describes a family of extremal inequalities for spectral, functional, and probabilistic quantities defined on discrete structures (e.g., graphs or cubes) that parallel sharp geometric or analytic inequalities in the continuum. Originally, Kokarev’s bound characterized optimal upper limits on the first (nontrivial) Steklov eigenvalue of a compact Riemannian surface in terms of genus and boundary length. In the discrete context, multiple independent lines of research (graph Steklov problems, discrete Schrödinger operators, and local tail behavior for Boolean polynomials) have established analogues of this phenomenon, demonstrating that the interplay between topology, boundary size, and function growth seen in smooth settings extends to the discrete.

1. Discrete Steklov Eigenvalue Bound for Graphs

For a finite, simple, undirected graph G=(V,E)G = (V,E) with a distinguished nonempty boundary subset δΩV\delta\Omega \subset V and maximum degree DD, the first nontrivial Steklov eigenvalue, λ2(G,δΩ)\lambda_2(G,\delta\Omega), generalizes the spectral Dirichlet-to-Neumann map from Riemannian geometry. The discrete Steklov problem seeks nonconstant f:VRf: V \to \mathbb{R} with

Δf(x)=0(xVδΩ),νf(x)=λf(x)(xδΩ),\Delta f(x) = 0 \quad (x \in V \setminus \delta\Omega), \qquad \partial_\nu f(x) = \lambda f(x) \quad (x \in \delta\Omega),

where

(Δf)(x)={x,y}E(f(x)f(y)),(νf)(x)={x,y}E(f(x)f(y)).(\Delta f)(x) = \sum_{\{x,y\}\in E}(f(x) - f(y)), \qquad (\partial_\nu f)(x) = \sum_{\{x,y\}\in E}(f(x) - f(y)).

The genus gg of GG is the smallest gg for which GG admits an embedding in a closed orientable surface of genus gg. The discrete analogue of Kokarev's bound, proved in (Chen et al., 19 Nov 2025), states:

For any finite graph GG of genus gg and bounded degree DD, with nonempty boundary δΩ\delta\Omega, >λ2(G,δΩ)C(D)gδΩ,>> \lambda_2(G, \delta\Omega) \leq C(D)\frac{g}{|\delta\Omega|}, > where C(D)C(D) depends only on DD. In particular, for planar graphs (g=0g=0), this reduces to λ2O(1)/δΩ\lambda_2 \leq O(1)/|\delta\Omega|, recovering previous planar results.

This bound matches the functional dependence of Kokarev's continuous bound, which is λ2(M,M)8π(g+1)M\lambda_2(M,\partial M) \leq \tfrac{8\pi(g+1)}{|\partial M|} for a compact surface MM of genus gg.

2. Methodology and Proof Techniques

The proof framework in (Chen et al., 19 Nov 2025) leverages a refinement of the topological and analytic structure of GG:

  • Graph Triangulation and Refinement: The graph GG is triangulated and further subdivided (hexagonal subdivision) to control the combinatorics, ensuring that the degree and genus are preserved and that boundary size grows in a controlled manner.
  • Circle Packing and Riemann Surface Embeddings: The Koebe-Andreev-Thurston theorem provides a circle packing of the refined graph G(k)G^{(k)} on a genus-gg Riemann surface.
  • Branched Holomorphic Mapping: By the Riemann-Roch argument (Kelner), there exists a holomorphic map from the surface to the sphere S2S^2 of degree O(g)O(g), with controlled branching.
  • Rayleigh Quotient via Vector-Valued Test Functions: The Steklov Rayleigh quotient is evaluated using vector-valued functions derived from pushing boundary circle centers to S2S^2. After Möbius normalization, these vectors have zero mean and unit norm on the boundary.
  • Energy Estimates and Summation: The numerator in the Rayleigh quotient corresponds (up to constants) to the total spherical area covered O(g)O(g)-fold by the map; the denominator is proportional to δΩ|\delta\Omega|. This yields λ2(G,δΩ)g/δΩ\lambda_2(G,\delta\Omega) \lesssim g/|\delta\Omega|.

3. Boundary, Genus, and Scaling Behavior

The upper bound is sharp up to universal constants, both in continuous and discrete settings. The genus gg appears linearly in the numerator, while the boundary size δΩ|\delta\Omega| controls the denominator. In the case g=0g=0, the bound reduces to an O(1)/δΩO(1)/|\delta\Omega| dependence, consistent with the planar case and corresponding results for trees and block graphs as in (Lin et al., 11 Jul 2024). For graphs with unbounded maximum degree DD, C(D)C(D) grows linearly with DD; for nonorientable surfaces, analogous bounds are expected to hold.

4. Analogue Results for Discrete Operators and Polynomials

Kokarev-type scaling phenomena also arise in spectral bounds for discrete Schrödinger operators and in hypercontractive inequalities for Boolean polynomials:

  • Discrete Birman–Schwinger Bound: For the free discrete Schrödinger operator H0H_0 on 2(Zd)\ell^2(\mathbb{Z}^d) and potentials VV,

V1/2(H0z)1V1/2C(d)Vd/3,\|\,|V|^{1/2}(H_0 - z)^{-1}|V|^{1/2}\| \leq C(d)\|V\|_{\ell^{d/3,\infty}}

if d4d \geq 4 and Vd/3,(Zd)V \in \ell^{d/3,\infty}(\mathbb{Z}^d) (Tadano et al., 2018). For uniformly decaying V(x)C(1+x)2|V(x)| \leq C(1+|x|)^{-2}, the bound matches the classical (continuous) result and the critical decay is O(x2|x|^{-2}). Nonuniform decays require stronger integrability in the discrete case.

  • Local Tail Bounds for Discrete Cube Polynomials: For a degree-dd polynomial PP on {1,1}n\{ -1, 1 \}^n normalized to mean zero, unit variance, the difference of ere^{-r} and er1e^{-r-1} quantiles satisfies

arar+1Cd(r+1)d/21a_r - a_{r+1} \leq C d (r+1)^{d/2-1}

for r1r \geq 1 and universal CC (Klartag et al., 2021). This “discrete local Kokarev bound” mirrors the continuous-setting result (where the exponent is (d1)/2(d-1)/2), confirming sharp dependence for global tails and postulating optimal order O(1/r)O(1/r) for all dd.

5. Generalizations and Extensions

The discrete Kokarev-type bounds extend to several contexts:

  • Higher Steklov Eigenvalues and Generalized Weights: The circle-packing and flow-deformation arguments permit extension to higher order Steklov eigenvalues λk\lambda_k, as well as edge-weighted and vertex-weighted graphs.
  • Nonorientable and Unbounded-Degree Graphs: For graphs embedded in nonorientable surfaces, similar O(g/δΩ)O(g/|\delta\Omega|) scaling is expected. If degree bounds are relaxed, the upper bound incurs multiplicative DD.
  • Block and Tree Structures: The treatment of block graphs and trees refines the boundary vs. structure scaling, showing that modified parameters---block size or leaf number---can replace genus or degree in extremal inequalities for specific graph classes (Lin et al., 11 Jul 2024).

6. Applications, Implications, and Open Questions

Discrete analogues of Kokarev’s bound inform multiple domains:

  • Spectral Geometry and Extremal Graph Theory: The genus–boundary interplay underpins sharpness results for extremal graph families, revealing classes where λ2g/δΩ\lambda_2 \sim g/|\delta\Omega| as gg\to\infty.
  • Quantum and Mathematical Physics: Sharp resolvent and Birman–Schwinger bounds underpin unitary equivalence of perturbed lattice operators and enable explicit eigenvalue counts under finite-rank perturbations (Tadano et al., 2018).
  • Analysis of Boolean Functions: Local tail inequalities furnish new tools for the concentration of measure on the discrete cube, with direct impact on random graph statistics, isoperimetric inequalities, and higher-order chaos analysis (Klartag et al., 2021).
  • Sharpness and Optimality: The continuous setting is known to be asymptotically optimal for large genus. Plausible implication is that the constructed “stringy” graphs in the discrete case also achieve asymptotic sharpness. For local tail gaps of Boolean polynomials, the O(drd/21d r^{d/2-1}) bound is conjectured not to be optimal for d>2d>2, with universal O(1/r)O(1/r) seen in explicit examples.

7. Summary Table

Setting Discrete Bound Scaling Law
Graph Steklov eigenvalue λ2(G,δΩ)Cg/δΩ\lambda_2(G,\delta\Omega) \leq C\, g/|\delta\Omega| Linear in genus, inverse in boundary
Discrete Schrödinger (Birman-Schwinger) K(z)C(d)Vd/3,\|K(z)\| \leq C(d)\|V\|_{\ell^{d/3,\infty}} (nonuniform decay) Uniform in potential norm
Boolean polynomial quantile gaps arar+1Cd(r+1)d/21a_r - a_{r+1} \leq C d (r+1)^{d/2-1} Degree and quantile-dependent

These results establish a robust “dictionary” between continuous and discrete extremal inequalities, translating sharp geometric-spectral phenomena into analogous combinatorial and analytic statements in the discrete field, with ramifications for spectral geometry, operator theory, and probabilistic combinatorics (Chen et al., 19 Nov 2025, Lin et al., 11 Jul 2024, Tadano et al., 2018, Klartag et al., 2021).

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