Combinatorial Courant-Fischer-Weyl Minimax Principle on Cheeger $k$-constants of Weighted Forests
Zijun Meng, Dong Zhang
TL;DR
The paper develops the first combinatorial analogue of the Courant-Fischer-Weyl minimax principle for Cheeger $k$-constants on weighted forests, providing max-min and min-max reformulations via subpartitions and union-closed families. It proves a nonlinear, $L^1$-Rayleigh-quotient version of the minimax principle and shows that, on forests, the Cheeger constants $h_k(G)$ coincide with the $k$-th minimax eigenvalues of the forest $1$-Laplacian $\Delta_1$ and are independent of the admissible index. The authors further derive a refined multi-way Cheeger inequality using the graph $p$-Laplacian and a loop-count parameter $\beta$, obtaining bounds that tighten as $p\to1$ and extend to graphs with few cycles via $h_{k-\beta}(G)\le \lambda_k(\Delta_1)\le h_k(G)$. Collectively, the work unifies combinatorial and spectral viewpoints, enabling sharper isoperimetric estimates, robust eigenvalue characterizations for forests, and extensions to graphs near-forests with controlled cycle structure.
Abstract
We establish novel max-min and minimax characterizations of Cheeger $k$-constants in weighted forests, thereby providing the first combinatorial analogue of the Courant-Fischer-Weyl minimax principle. As for applications, we prove that the forest 1-Laplacian variational eigenvalues are independent of the choice of typical indexes; we propose a refined higher order Cheeger inequality involving numbers of loops of graphs and $p$-Laplacian eigenvalues; and we present a combinatorial proof for the equality $h_k=λ_k(Δ_1)$ which connects the 1-Laplacian variational eigenvalues and the multiway Cheeger constants.
