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This Demonstration shows that the eigenvalues of an random matrix with independent and identically distributed (i.i.d.) random entries, all with zero mean and unit variance, converge to the circular law in the limit as . Thus the limiting spectral distribution is the uniform distribution over the unit disk in the complex plane. This behavior is universal and does not depend on the choice of the probability distribution for the law of entries (see [1] and its references).

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Contributed by: Jessica Alfonsi (December 2020)

(Padova, Italy)

Open content licensed under CC BY-NC-SA

## Snapshots

## Details

Snapshot 1: matrix entries sampled from normal distribution, 100 eigenvalues, limit disk highlighted

Snapshot 2: matrix entries sampled from uniform distribution, 500 eigenvalues, limit disk highlighted

Snapshot 3: matrix entries sampled from custom discrete distribution, 800 eigenvalues, limit disk not highlighted

References

[1] Wikipedia. "Circular Law." (Sep 21, 2020) en.wikipedia.org/wiki/Circular_law.

[2] R. Wicklin, *The Circular Law for Eigenvalues* (blog). (Sep 21, 2020) blogs.sas.com/content/iml/2020/04/27/circular-law-eigenvalues.html.

## Permanent Citation