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Multi-way spectral partitioning and higher-order cheeger inequalities
114
Citations
23
References
2012
Year
Unknown Venue
Spectral TheoryMathematical ProgrammingGraph SparsityEngineeringNetwork AnalysisEducationMulti-way Spectral PartitioningStructural Graph TheorySparse CutDiscrete MathematicsApproximation TheoryGeometric Graph TheoryAlgebraic Graph TheoryLower BoundVariational InequalitySpectral Graph TheoryNetwork ScienceGraph TheorySpectral AnalysisEigenvalue ZeroMetric Graph Theory
A basic fact in spectral graph theory is that the number of connected components in an undirected graph is equal to the multiplicity of the eigenvalue zero in the Laplacian matrix of the graph. In particular, the graph is disconnected if and only if there are at least two eigenvalues equal to zero. Cheeger's inequality and its variants provide an approximate version of the latter fact; they state that a graph has a sparse cut if and only if there are at least two eigenvalues that are close to zero.
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