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Vertex-Based Localization of generalized Turán Problems

Published 28 Aug 2025 in math.CO and cs.DM | (2508.20936v1)

Abstract: Let F\mathcal{F} be a family of graphs. A graph is called F\mathcal{F}-free if it does not contain any member of F\mathcal{F}. Generalized Tur\'{a}n problems aim to maximize the number of copies of a graph HH in an nn-vertex F\mathcal{F}-free graph. This maximum is denoted by ex(n,H,F)ex(n, H, \mathcal{F}). When HK2H \cong K_2, it is simply denoted by ex(n,F)ex(n,F). Erd\H{o}s and Gallai established the bounds ex(n,Pk+1)n(k1)2ex(n, P_{k+1}) \leq \frac{n(k-1)}{2} and ex(n,Ck+1)k(n1)2ex(n, C_{\geq k+1}) \leq \frac{k(n-1)}{2}. This was later extended by Luo \cite{luo2018maximum}, who showed that ex(n,Ks,Pk+1)nk(ks)ex(n, K_s, P_{k+1}) \leq \frac{n}{k} \binom{k}{s} and ex(n,Ks,Ck+1)n1k1(ks)ex(n, K_s, C_{\geq k+1}) \leq \frac{n-1}{k-1} \binom{k}{s}. Let N(G,Ks)N(G,K_s) denote the number of copies of KsK_s in GG. In this paper, we use the vertex-based localization framework, introduced in \cite{adak2025vertex}, to generalize Luo's bounds. In a graph GG, for each vV(G)v \in V(G), define p(v)p(v) to be the length of the longest path that contains vv. We show that [N(G,K_s) \leq \sum_{v \in V(G)} \frac{1}{p(v)+1}{p(v)+1\choose s} = \frac{1}{s}\sum_{v \in V(G)}{p(v) \choose s-1}] We strengthen the cycle bound from \cite{luo2018maximum} as follows: In graph GG, for each vV(G)v \in V(G), let c(v)c(v) be the length of the longest cycle that contains vv, or $2$ if vv is not part of any cycle. We prove that [N(G,K_s) \leq \left(\sum_{v\in V(G)}\frac{1}{c(v)-1}{c(v) \choose s}\right) - \frac{1}{c(u)-1}{c(u) \choose s}] where c(u)c(u) denotes the circumference of GG. We provide full proofs for the cases s=1s = 1 and s3s \geq 3, while the case s=2s = 2 follows from the result in \cite{adak2025vertex}. \newline Furthermore, we characterize the class of extremal graphs that attain equality for these bounds.

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