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Numerical simulation
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Classroom Contents
Extreme Eigenvalue Distributions of Sparse Random Graphs - Jiaoyang Huang
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- 1 Introduction
- 2 Empirical eigenvalue distribution
- 3 Edge expansion constant
- 4 cheekers constant
- 5 Roman routing graphs
- 6 Bipartite routing graphs
- 7 Gaussian or circular ensemble
- 8 Plot eigenvalue distribution
- 9 Distributions are universal
- 10 Numerical simulation
- 11 Bias towards negative axis
- 12 First result
- 13 Second result
- 14 Proof ingredients
- 15 Gaussian distribution
- 16 Spectral result resolution
- 17 Spectral scale of ETA
- 18 Gaussian circular example
- 19 Symmetry
- 20 Simple switching
- 21 High movement
