Titlebook: Random Matrices and Iterated Random Functions; Münster, October 201 Gerold Alsmeyer,Matthias L?we Conference proceedings 2013 Springer-Verl

retort

書目名稱Random Matrices and Iterated Random Functions影響因子(影響力)




書目名稱Random Matrices and Iterated Random Functions影響因子(影響力)學(xué)科排名




書目名稱Random Matrices and Iterated Random Functions網(wǎng)絡(luò)公開度




書目名稱Random Matrices and Iterated Random Functions網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Random Matrices and Iterated Random Functions被引頻次




書目名稱Random Matrices and Iterated Random Functions被引頻次學(xué)科排名




書目名稱Random Matrices and Iterated Random Functions年度引用




書目名稱Random Matrices and Iterated Random Functions年度引用學(xué)科排名




書目名稱Random Matrices and Iterated Random Functions讀者反饋




書目名稱Random Matrices and Iterated Random Functions讀者反饋學(xué)科排名

曲解

Asymptotic Eigenvalue Distribution of Random Matrices and Free Stochastic Analysistrices. The main concrete results center around the free Fourth Moment Theorem, which says that for a sequence of random variables which are constrained to live in a fixed free chaos, the convergence to the semicircle distribution can be controlled by the convergence of the second and the fourth moments.

Indigence

商店街

機(jī)警

verdict

Precise Tail Index of Fixed Points of the Two-Sided Smoothing Transforml mild moment condition on the .., our main result asserts that . the main contribution being that . is indeed positive and therefore . the precise tail index of | . | , for the convergence was recently shown by Jelenkovic and Olvera-Cravioto [.].

Annotate

atopic

Large Deviation Tail Estimates and Related Limit Laws for Stochastic Fixed Point Equationsxceedance probability. In the process, we establish an interesting connection between the regularity properties of {..} and the recurrence properties of an associated .-shifted Markov chain. We illustrate these ideas with several examples.

復(fù)習(xí)

Introduction

Asymptotic Eigenvalue Distribution of Random Matrices and Free Stochastic Analysisvide us with tools for qualitative descriptions of the asymptotic eigenvalue distribution of selfadjoint polynomials of independent Gaussian random matrices. The main concrete results center around the free Fourth Moment Theorem, which says that for a sequence of random variables which are constrain