An introduction to large deviations with applications in physics
These notes are based on the lectures that one of us (HT) gave at the Summer School on the “Theory of Large Deviations and Applications,” held in July 2024 at Les Houches in France. They present the basic definitions and mathematical results that form the theory of large deviations, as well as many simple motivating examples of applications in statistical physics, which serve as a basis for the many other lectures given at the school that covered more specific applications in biophysics, random matrix theory, nonequilibrium systems, geophysics, and the simulation of rare events, among other topics. These notes extend the lectures, which can be accessed online, by presenting exercises and pointer references for further reading.
Authors
- Ivan N. Burenev (ORCID: https://orcid.org/0000-0002-7047-4442)
- Hugo Touchette (ORCID: https://orcid.org/0000-0003-1574-5593)
- V.P. Kharbanda (ORCID: https://orcid.org/0009-0005-5630-6839)
- Daniël W. H. Cloete (ORCID: https://orcid.org/0000-0002-5996-2920)
Institutions
- Stellenbosch University (ZA)
- Université Paris-Saclay (FR)
- Laboratoire de Physique Théorique et Modèles Statistiques (FR)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- SciPost Physics Lecture Notes
- Published
- 2025-10-23
- DOI
- https://doi.org/10.21468/scipostphyslectnotes.104
- Citations
- 3
- Primary Topic
- Advanced Thermodynamics and Statistical Mechanics
- Type
- article
- Field-Weighted Citation Impact
- 3.97