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Springer Random Graphs Phase Transitions Gaussian Free Field - Springer

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Description

This comprehensive volume collects lecture notes from the 2017 PIMS-CRM Summer School in Probability held at the University of British Columbia in Vancouver, Canada, from June 5-30, 2017. Featuring contributions from an international gathering of 125 participants across 20 countries, the book presents two main courses, three mini-courses, and twenty-nine lectures covering cutting-edge research in modern probability theory. The content is specifically designed for graduate students beginning their research careers, offering introductory yet rigorous accounts of three active and fascinating areas: scaling limits of random trees, random graphs, phase transitions, and the Gaussian free field. This Springer proceedings volume (number 304 in the Springer Proceedings in Mathematics & Statistics series) serves as an essential resource for students and researchers seeking foundational knowledge in these interconnected fields of contemporary probability.

Key Features

The volume contains lecture notes from the 2017 PIMS-CRM Summer School in Probability featuring 125 graduate students and researchers from 20 countries.

This Springer proceedings volume 304 covers three major research areas in modern probability theory designed for students entering advanced research.

The book includes two main courses, three mini-courses, and twenty-nine individual lectures delivered during the June 2017 summer school at the University of British Columbia.

Content focuses on scaling limits of random trees, random graphs, phase transitions, and the Gaussian free field with rigorous mathematical treatment.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
21 January 2021
Listed Since
07 November 2020

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