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Journal of Graph Theory
Article . 2024 . Peer-reviewed
License: Wiley Online Library User Agreement
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
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Extremal Problems for a Matching and Any Other Graph

Extremal problems for a matching and any other graph
Authors: Xiutao Zhu; Yaojun Chen;

Extremal Problems for a Matching and Any Other Graph

Abstract

ABSTRACTFor a family of graphs , a graph is called ‐free if it does not contain any member of as a subgraph. The generalized Turán number is the maximum number of in an ‐vertex ‐free graph and , that is, the classical Turán number. Let be a matching on edges and be any graph. In this paper, we determine apart from a constant additive term and also give a condition when the error constant term can be determined. In particular, we give the exact value of for being any non‐bipartite graph or some bipartite graphs. Furthermore, we determine when is color critical with .

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Keywords

Extremal problems in graph theory, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), matching, FOS: Mathematics, Mathematics - Combinatorics, extremal theory, Structural characterization of families of graphs, Combinatorics (math.CO), Enumeration in graph theory, generalized Turán number

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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