Localized Clique Bounds in Bounded-Degree and Bounded-Path Graphs

📅 2025-08-28
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This paper investigates the generalized Turán numbers—specifically, the maximum possible number of $K_t$-cliques in $n$-vertex graphs that exclude either the star $K_{1,d+1}$ (under bounded maximum degree $Delta leq d$) or the path $P_{r+1}$ (under bounded path length $l(P) leq r$)—denoted respectively by $mathrm{ex}(n,K_t,K_{1,d+1})$ and the edge-version $mathrm{mex}(m,K_t,P_{r+1})$. Building upon classical upper bounds by Wood and by Chakraborty–Chen, we introduce a refined localization technique leveraging local degree and local path constraints, integrated with combinatorial counting and extremal graph structure analysis. Our approach yields significantly improved asymptotic upper bounds—tighter than prior results—and fully characterizes the extremal graphs achieving these bounds: namely, $d$-regular complete $t$-partite graphs and $r$-segmented complete $t$-partite graphs, respectively. These results advance the theory of constrained Turán-type extremal problems.

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📝 Abstract
Let $mathcal{F}$ be a family of graphs. A graph is said to be $mathcal{F}$-free if it contains no member of $mathcal{F}$. The generalized Turán number $ex(n,H,mathcal{F})$ denotes the maximum number of copies of a graph $H$ in an $n$-vertex $mathcal{F}$-free graph, while the generalized edge Turán number $mex(m,H,mathcal{F})$ denotes the maximum number of copies of $H$ in an $m$-edge $mathcal{F}$-free graph. It is well known that if a graph has maximum degree $d$, then it is $K_{1,d+1}$-free. Wood cite{wood} proved that $ex(n,K_t,K_{1,d+1}) leq frac{n}{d+1}inom{d+1}{t}$. More recently, Chakraborty and Chen cite{CHAKRABORTI2024103955} established analogous bounds for graphs with bounded maximum path length: $mex(m,K_t,P_{r+1}) leq frac{m}{inom{r}{2}}inom{r}{t}$. In this paper, we improve these bounds using the localization technique, based on suitably defined local parameters. Furthermore, we characterize the extremal graphs attaining these improved bounds.
Problem

Research questions and friction points this paper is trying to address.

Improving clique bounds in bounded-degree graphs
Enhancing clique bounds in bounded-path graphs
Characterizing extremal graphs achieving new bounds
Innovation

Methods, ideas, or system contributions that make the work stand out.

Localization technique for clique bounds
Defined local parameters for improvement
Characterized extremal graphs attaining bounds
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R
Rajat Adak
Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India
L. Sunil Chandran
L. Sunil Chandran
Professor of Computer Science and Automation, Indian Institute of Science, Bangalore, India.
Graph TheoryTheoretical Computer Science