Concentration of the adjacency matrix and of the Laplacian in random graphs with independent edges
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Summary
It is proved that the adjacency matrix and the Laplacian of that random graph are concentrated around the corresponding matrices of the weighted graph whose edge weights are the probabilities in the random model.
- Type
- preprint
- Published
- 2009-11-03
- Cited by
- 213
- References
- 62
- Access
- Open access
- OpenAlex
- https://openalex.org/W1789701990
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:115173011
Keywords
Adjacency matrix, Combinatorics, Mathematics, Adjacency list, Laplacian matrix
References
- Probability on Banach spaces
- Random Graphs: Notation
- The Spectral Gap of Random Graphs with Given Expected Degrees
- The concentration of measure phenomenon
- Perturbation theory for linear operators
- Spectral Graph Theory
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- A proof of Alon's second eigenvalue conjecture and related problems
- Percolation on finite graphs and isoperimetric inequalities
- Random Vectors in the Isotropic Position
- The Spectra of Random Graphs with Given Expected Degrees
- Random Graph Coverings I: General Theory and Graph Connectivity
- The two possible values of the chromatic number of a random graph
- ‘‘Extrinsic’’ and ‘‘Intrinsic’’ Data in Quantum Measurements: Asymptotic Convex Decomposition of Positive Operator Valued Measures
- The Tight Constant in the Dvoretzky-Kiefer-Wolfowitz Inequality
- The Largest Eigenvalue of Sparse Random Graphs
- Relating quantum privacy and quantum coherence: an operational approach.
- Sharp concentration of the chromatic number on random graphsGn, p
- Quasi-random graphs
- Relative expanders or weakly relatively Ramanujan graphs
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- User-Friendly Tools for Random Matrices: An Introduction
- Concentration and regularization of random graphs
- Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model
- Out-of-sample Extension for Latent Position Graphs
- On Some Extensions of Bernstein's Inequality for Self-adjoint Operators
- Dimension-free tail inequalities for sums of random matrices
- Deriving Matrix Concentration Inequalities from Kernel Couplings
- Invertibility of random submatrices via tail decoupling and a Matrix Chernoff Inequality
- A Limit Theorem for Scaled Eigenvectors of Random Dot Product Graphs
- On the Spectra of General Random Graphs
- Kolmogorov’s law of the iterated logarithm for noncommutative martingales
- Role of normalization in spectral clustering for stochastic blockmodels
- Universally Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs
- TAIL BOUNDS FOR ALL EIGENVALUES OF A SUM OF RANDOM MATRICES
- Sparse random graphs: regularization and concentration of the Laplacian
- Concentration of the Stationary Distribution on General Random Directed Graphs
- A central limit theorem for scaled eigenvectors of random dot product graphs
- The Masked Sample Covariance Estimator: An Analysis via the Matrix Laplace Transform
- Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
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