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Part I. Basic Concepts: 1. Non-commutative probability spaces and distributions | |
2. A case study of non-normal distribution | |
3. C*-probability spaces | |
4. Non-commutative joint distributions | |
5. Definition and basic properties of free independence | |
6. Free product of *-probability spaces | |
7. Free product of C*-probability spaces | |
Part II. Cumulants: 8. Motivation: free central limit theorem | |
9. Basic combinatorics I: non-crossing partitions | |
10. Basic Combinatorics II: Mö | |
bius inversion | |
11. Free cumulants: definition and basic properties | |
12. Sums of free random variables | |
13. More about limit theorems and infinitely divisible distributions | |
14. Products of free random variables | |
15. R-diagonal elements | |
Part III. Transforms and Models: 16. The R-transform | |
17. The operation of boxed convolution | |
18. More on the 1-dimensional boxed convolution | |
19. The free commutator | |
20. R-cyclic matrices | |
21. The full Fock space model for the R-transform | |
22. Gaussian Random Matrices | |
23. Unitary Random Matrices | |
Notes and Comments | |
Bibliography | |
Index. |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.