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Some contributions to free probability and random matrices/ Sukrit Chakraborty

By: Material type: TextTextPublication details: Kolkata: Indian Statistical Institute, 2020Description: viii, 155 pagesDDC classification:
  • 23 519.2 C431
Online resources:
Contents:
Introduction -- Boolean convolutions and regular variation -- Regular variation and free regular infinitely divisible laws -- Largest eigenvalue in the rank one case -- Largest eigenvalue in the finite rank case
Production credits:
  • Guided by Prof. Rajat Subhra Hazra and Prof. Arijit Chakrabarty
Dissertation note: Thesis (Ph.D.) -Indian Statistical Institute, 2020
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Holdings
Item type Current library Call number Status Notes Date due Barcode Item holds
THESIS ISI Library, Kolkata 519.2 C431 (Browse shelf(Opens below)) Available E-Thesis TH469
Total holds: 0

Thesis (Ph.D.) -Indian Statistical Institute, 2020

Introduction -- Boolean convolutions and regular variation -- Regular variation and free regular infinitely divisible laws -- Largest eigenvalue in the rank one case -- Largest eigenvalue in the finite rank case

Guided by Prof. Rajat Subhra Hazra and Prof. Arijit Chakrabarty

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