Random Matrices and Iterated Random Functions

Part I. Random Matrices

1. On the Limiting Spectral Density of Symmetric Random Matrices with Correlated Entries
Olga Friesen, Matthias Löwe

2. Asymptotic Eigenvalue Distribution of Random Matrices and Free Stochastic Analysis
Roland Speicher

3. Spacings: An Example for Universality in Random Matrix Theory
Thomas Kriecherbauer, Kristina Schubert

4. Stein’s Method and Central Limit Theorems for Haar Distributed Orthogonal Matrices: Some Recent Developments
Michael Stolz

Part II. Iterated Random Functions

5. Large Deviation Tail Estimates and Related Limit Laws for Stochastic Fixed Point Equations
Jeffrey F. Collamore, Anand N. Vidyashankar

6. Homogeneity at Infinity of Stationary Solutions of Multivariate Affine Stochastic Recursions
Yves Guivarc’h, Émile Le Page

7. On Solutions of the Affine Recursion and the Smoothing Transform in the Critical Case
Sara Brofferio, Dariusz Buraczewski, Ewa Damek

8. Power Laws on Weighted Branching Trees
Predrag R. Jelenković, Mariana Olvera-Cravioto

9. The Smoothing Transform: A Review of Contraction Results
Gerold Alsmeyer

10. Precise Tail Index of Fixed Points of the Two-Sided Smoothing Transform
Gerold Alsmeyer, Ewa Damek, Sebastian Mentemeier

11. Conditioned Random Walk in Weyl Chambers and Renewal Theory
C. Lecouvey, E. Lesigne, M. Peigné

Avainsanat: Mathematics, Probability Theory and Stochastic Processes, Functional Analysis