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</script>Suppose the vertices of the \(k\)-regular connected graph \(G_ n\) can be partitioned into two sets \(X\) and \(Y\) such that all vertex-degrees in the subgraphs induced by \(X\) and \(Y\) are at least \(\lceil k/2 \rceil\) and \(\lfloor k/2 \rfloor\), respectively. Let \(W_ k(G_ n)\) denote the minimum value of \(\| X |-| Y \|\) over all such partitions of the vertices of \(G_ n\) and let \(W_ k (n)\) denote the maximum value of \(W_ k (G_ n)\) over all such graphs \(G_ n\). The author obtains the value of or upper bounds for \(W_ k (n)\) for \(1 \leq k \leq 7\) and \(n\) sufficiently large, among other things. For example, he shows that \(W_ 7(n) \leq (17n + 356)/33\) if \(n \geq 24\) and \(n\) is even.
Extremal problems in graph theory, upper bounds, regular graphs, graphical decompositions, Discrete Mathematics and Combinatorics, vertex partitions, Theoretical Computer Science
Extremal problems in graph theory, upper bounds, regular graphs, graphical decompositions, Discrete Mathematics and Combinatorics, vertex partitions, Theoretical Computer Science
| citations 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). | 3 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
