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In this survey article, we give an introduction to two methods of proof in random matrix theory: The method of moments and the Stieltjes transform method. We thoroughly develop these methods and apply them to show both the semicircle law and the Marchenko-Pastur law for random matrices with independent entries. The material is presented in a pedagogical manner and is suitable for anyone who has followed a course in measure-theoretic probability theory.
Random matrices (probabilistic aspects), Stieltjes transform method, Marchenko-Pastur law, method of moments, empirical spectral distributions, Probability (math.PR), FOS: Mathematics, random matrix theory, Research exposition (monographs, survey articles) pertaining to probability theory, semicircle law, Mathematics - Probability
Random matrices (probabilistic aspects), Stieltjes transform method, Marchenko-Pastur law, method of moments, empirical spectral distributions, Probability (math.PR), FOS: Mathematics, random matrix theory, Research exposition (monographs, survey articles) pertaining to probability theory, semicircle law, Mathematics - Probability
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