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Klobürštel Theorem on Trees

Updated 12 January 2026
  • The Klobürštel theorem is a discrete analogue of the classical Faber–Krahn theorem that defines a sharp spectral bound for finite trees based on interior and boundary vertex counts.
  • It uniquely identifies a comet structure as the minimizer of the first Dirichlet eigenvalue, computed through Rayleigh quotient analysis and combinatorial Laplacians.
  • The proof employs rearrangement moves and monotonicity principles, offering actionable insights for optimizing tree configurations in spectral graph theory.

The Klobürštel theorem is a discrete analogue of the classical Faber–Krahn theorem for the first Dirichlet eigenvalue of trees, providing a sharp spectral inequality for finite simple trees with given interior and boundary vertex counts. It establishes that among all such trees, a specific "comet" structure uniquely minimizes the first Dirichlet eigenvalue, providing both a precise inequality and a constructive characterization for extremal cases. The theorem situates itself in spectral graph theory and features rigorously articulated supporting concepts, including the combinatorial Laplacian, Dirichlet boundary conditions, and Rayleigh quotient analysis. Its development is attributed to the work of Bıyıkoğlu, Leydold, Lin, Liu, You, and Zhao, and incorporates earlier discrete Faber–Krahn results for regular trees and trees with fixed matching number (Lin et al., 5 Jan 2026).

1. Formal Definitions and Spectral Setup

Let G=(V,E)G = (V, E) denote a finite simple graph. A nonempty, proper subset BVB \subsetneq V is designated the boundary. The interior, denoted Ω=VB\Omega = V \setminus B, is assumed to induce a connected subgraph. The graph's combinatorial Laplacian Δ\Delta acts on functions f:VRf : V \to \mathbb{R} by

(Δf)(x)=yx(f(y)f(x)),xV.(\Delta f)(x) = \sum_{y \sim x} (f(y) - f(x)),\quad x \in V.

The Dirichlet eigenvalue problem in this context seeks solutions to

Δf(x)=λf(x),xΩ,fB=0,- \Delta f(x) = \lambda f(x), \quad x \in \Omega, \quad f|_B = 0,

whose spectrum 0<λ1λ20 < \lambda_1 \le \lambda_2 \le \cdots is governed via the Rayleigh quotient

R(G,B)(f)=(x,y)E(f(x)f(y))2xΩf(x)2,R_{(G, B)}(f) = \frac{\sum_{(x, y) \in E} (f(x) - f(y))^2}{\sum_{x \in \Omega} f(x)^2},

with

λ1=minf≢0R(G,B)(f).\lambda_1 = \min_{f \not\equiv 0} R_{(G, B)}(f).

A "tree with boundary" refers to a pair T=(V,E;B)T = (V, E; B) where (V,E)(V, E) is a tree and BB specifies the boundary. The matching number of GG is the largest cardinality of a set of pairwise disjoint edges.

2. Statement of the Theorem and Extremal Construction

For integers n2n \ge 2 and 1kn11 \le k \le n - 1, define

T(n,k)={T: T is a tree on n vertices, B={leaves}, Ω=k}\mathcal T^{(n, k)} = \left\{ T :~ T\text{ is a tree on } n\text{ vertices},~ B = \{\text{leaves}\},~ |\Omega| = k \right\}

as the class of trees with kk interior vertices and boundary BB being the set of leaves. The "comet" Cn,kC_{n, k} is constructed by forming a path x0x1xkx_0 \sim x_1 \sim \cdots \sim x_k, declaring x0x_0 and all new leaves as boundary, and attaching n(k+1)n - (k + 1) leaves at xkx_k. Thus, Ω={x1,,xk}\Omega = \{x_1, \dots, x_k\}, B=nk|B| = n - k.

Klobürštel theorem: In the class T(n,k)\mathcal T^{(n, k)}, the first Dirichlet eigenvalue obeys the sharp bound

λ1(T)λ1(Cn,k)=2(1cosπk+1)\lambda_1(T) \ge \lambda_1(C_{n, k}) = 2 \left(1 - \cos \frac{\pi}{k + 1}\right)

for every TT(n,k)T \in \mathcal T^{(n, k)}, with equality if and only if TT is isomorphic to the comet Cn,kC_{n, k} (Lin et al., 5 Jan 2026).

3. Proof Ingredients and Monotonicity Principles

The proof consists of several combinatorial and variational arguments:

  • Monotonicity under extensions (subgraphs): If TTT' \subseteq T is obtained by converting interior vertices to boundary or deleting edges between boundary vertices (without increasing interior degrees), then

λ1(T)λ1(T).\lambda_1(T) \le \lambda_1(T').

Therefore, adding leaves or contracting interior edges can only raise λ1\lambda_1.

  • Rearrangement moves: Within a fixed combinatorial class, three elementary transformations do not increase the Rayleigh quotient for positive test functions:
    • Switching: Edges v1u1v_1u_1 and v2u2v_2u_2 are replaced by v1v2v_1v_2 and u1u2u_1u_2 when eigenfunction values are appropriately ordered.
    • Shifting: A pendant edge uv1uv_1 is reattached to a deeper interior vertex v2v_2 if f(v1)f(v2)f(u)f(v_1) \ge f(v_2) \ge f(u).
    • Jumping: When uv1u \sim v_1 is on the geodesic from v1v_1 to v2v_2, one may replace uv1uv_1 by v1v2v_1v_2 if f(v1)f(v2)f(u)f(v_1) \ge f(v_2) \ge f(u).

Iterative application of these moves transforms any tree in T(n,k)\mathcal T^{(n, k)}—without increasing λ1\lambda_1—to the comet Cn,kC_{n, k}. The strictness of inequalities ensures the uniqueness of the minimizer.

4. Explicit Spectral Formula for the Comet Structure

For the comet Cn,kC_{n, k}, the Dirichlet boundary is {x0}\{x_0\} plus the nk1n-k-1 leaves at xkx_k. Any Dirichlet eigenfunction must vanish at these. Therefore, the nonzero segment of the eigenfunction resides on the path

x0(=0)x1x2xk1xk(=0).x_0 (=0) \sim x_1 \sim x_2 \sim \cdots \sim x_{k-1} \sim x_k (=0).

This path graph admits the Dirichlet spectrum

λ1(Cn,k)=2(1cosπk+1).\lambda_1(C_{n, k}) = 2 \left(1 - \cos \frac{\pi}{k + 1}\right).

Thus, for any TT(n,k)T \in \mathcal T^{(n, k)},

λ1(T)2(1cosπk+1),\lambda_1(T) \ge 2 \left(1 - \cos \frac{\pi}{k + 1}\right),

with equality if and only if TCn,kT \cong C_{n, k}.

5. Associated Formulas and Computational Perspectives

Key analytical expressions utilized include:

Quantity Formula (LaTeX) Description
Graph Laplacian Δf(x)=yx(f(y)f(x))\Delta f(x) = \sum_{y \sim x} (f(y) - f(x)) Linear operator on vertex functions
Dirichlet Rayleigh R(G,B)(f)=(x,y)E(f(x)f(y))2xΩf(x)2R_{(G,B)}(f) = \dfrac{\sum_{(x,y)\in E}(f(x)-f(y))^2}{\sum_{x\in\Omega}f(x)^2} Spectral quotient on (G,B)(G,B)
Faber–Krahn inequality λ1(T)λ1(Cn,k)=2(1cos(π/(k+1)))\lambda_1(T) \ge \lambda_1(C_{n,k}) = 2(1-\cos(\pi/(k+1))) Main theorem

These formulas enable exact and numerically tractable eigenvalue bounds within the stated combinatorial constraints.

6. Sharpness Criteria and Extremal Examples

The sharpness of the Klobürštel theorem is exemplified by specific cases:

  • For k=1k = 1: T(n,1)\mathcal T^{(n,1)} consists solely of the star K1,n1K_{1, n-1}, whose first Dirichlet eigenvalue evaluates as $2$.
  • For k=n2k = n - 2: The boundary has cardinality $2$; the unique extremal "comet" is the path PnP_n, with first Dirichlet eigenvalue 2(1cos(π/(n1)))2(1 - \cos(\pi/(n-1))).
  • Intermediate kk values: In each instance, the unique eigenvalue minimizer is the comet Cn,kC_{n, k}.

A plausible implication is that structural optimizations of trees in spectral graph applications can be reduced to identifying isomorphisms with comet configurations for given interior-boundary counts.

The continuum Faber–Krahn theorem posits that balls minimize the first Dirichlet eigenvalue among domains of fixed volume in Rn\mathbb{R}^n. Discrete analogues for trees were introduced by Leydold (Geom. Funct. Anal., 1997) and generalized by Bıyıkoğlu–Leydold (J. Combin. Theory Ser. B, 2007), addressing degree sequences and matching numbers. Lin, Liu, You, and Zhao further established the Faber–Krahn property for trees with fixed matching number, and formulated the Klobürštel theorem as a corollary for trees with specified interior and boundary vertex counts (Lin et al., 5 Jan 2026).

This body of research provides rigorous combinatorial and spectral tools for characterizing optimal tree structures under Dirichlet constraints, serving as foundational references for ongoing work in spectral graph theory and combinatorial optimization.

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