Spectral Networks Spectral Networks
Lecture Notes in Mathematics

Spectral Networks

Bridging Higher-rank Teichmüller Theory and BPS States

Clarence Kineider and Others

Publisher Description

This open access book offers a comprehensive introduction to spectral networks from a unified viewpoint that bridges geometry with the physics of supersymmetric gauge theories. It provides the foundational background needed to approach the frontiers of this rapidly evolving field, treating geometric and physical aspects in parallel. After surveying fundamental topics in algebra and geometry, a detailed introduction to higher-rank Teichmüller theory is developed, including Fock–Goncharov theory for Hitchin representations, maximal representations and the more recent notion of Θ-positivity.

Spectral networks are subsequently introduced, emphasizing their utility in the study of character varieties via the abelianization and non-abelianization maps they define. In parallel, key aspects of four-dimensional gauge dynamics with eight supercharges are explored, including electric–magnetic duality, Seiberg–Witten theory, and class S theories. The role of spectral networks as a framework for determining and analyzing BPS spectra in class S theories is then examined. The final chapter outlines recent applications of spectral networks across a range of contemporary research areas.

This volume is intended for researchers and advanced students in either mathematics or physics who wish to enter the field.

GENRE
Science & Nature
RELEASED
2026
April 25
LANGUAGE
EN
English
LENGTH
550
Pages
PUBLISHER
Springer Nature Switzerland
SELLER
Springer Nature B.V.
SIZE
83.5
MB
Planar Maps, Random Walks and Circle Packing Planar Maps, Random Walks and Circle Packing
2019
Mathematical Epidemiology Mathematical Epidemiology
2008
Introduction to ℓ²-invariants Introduction to ℓ²-invariants
2019
Hopf Algebras and Their Generalizations from a Category Theoretical Point of View Hopf Algebras and Their Generalizations from a Category Theoretical Point of View
2018
Ramanujan Summation of Divergent Series Ramanujan Summation of Divergent Series
2017
Large Deviations for Random Graphs Large Deviations for Random Graphs
2017