Vertex-Based Localization of Generalized Tur\'{a}n Problems
Rajat Adak, L. Sunil Chandran

TL;DR
This paper introduces a vertex-based localization framework to generalize bounds on the number of complete subgraphs in graphs avoiding certain paths and cycles, providing new extremal graph characterizations.
Contribution
It extends Luo's bounds on subgraph counts using vertex-based localization, characterizes extremal graphs, and generalizes existing cycle bounds and related results.
Findings
Derived new bounds for the number of $K_s$ in $ extit{F}$-free graphs
Characterized extremal graphs attaining these bounds
Generalized previous cycle and path bounds in graph theory
Abstract
Let be a family of graphs. A graph is called -free if it does not contain any member of . Generalized Tur\'{a}n problems aim to maximize the number of copies of a graph in an -vertex -free graph. This maximum is denoted by . When , it is simply denoted by . Erd\H{o}s and Gallai established the bounds and . This was later extended by Luo \cite{luo2018maximum}, who showed that and . Let denote the number of copies of in . In this paper, we use the vertex-based localization framework, introduced in \cite{adak2025vertex}, to generalize Luo's bounds. In a graph , for each $v…
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