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Saddle Point, Asymptotics, Resurgence & Co.

  • elwo06
  • 17 mar
  • Tempo di lettura: 3 min

Decades ago, while investigating finer (non perturbative) effects in quantum physics (instantons and more), I got fashinated by the field.

As I was looking elsewhere, the topic matured, there are even books on the matter nowadays.

I am collecting some of them here.

If you know more or interesting connection, leave a comment. I'll be grateful.


Summary


Broadly speaking, references here are touching on:

  • Resurgence: Trans-series in QFT, string theory, and integrable systems.

  • Asymptotics: Hyperasymptotic methods and Stokes phenomena.

  • Saddle Points: Picard-Lefschetz theory for path integrals and phase transitions.


Resources


With focus on books and reviews/key papers.

I first read about the topic in Quantum Field Theory and Critical Phenomena by Jean Zinn-Justin, immediately captured by resurgence - among the topics.


Resurgence Theory


Key Books & Reviews
  • Resurgence and Trans-Series in Quantum Theories (2023) By Gerald Dunne and Mithat Ünsal (preprint) A comprehensive review connecting resurgence to quantum mechanics, QFT, and lattice models, emphasizing non-perturbative effects like instantons and renormalons.

  • Transseries and Resurgence: A New Paradigm in Asymptotics (2023)

    By Ovidiu Costin (Cambridge University Press)

    Mathematical foundations of trans-series and Écalle’s resurgence theory, with applications to differential equations and quantum mechanics.

  • Nonperturbative Effects and Resurgence in Quantum Theories (2021)

    By Gerald Dunne (Chapter in Handbook of Quantum Field Theory) Focuses on resurgence in gauge theories, including supersymmetric and large-\( N \) systems.


Papers
  • Resurgence in Quantum Field Theory (2015) By Inês Aniceto, Gökçe Başar, and Ricardo Schiappa (arXiv:1412.3259)

    Introduces resurgent trans-series for path integrals and perturbative/non-perturbative relations.

  • Resurgence and the Conifold (2022)

    By Marcos Mariño et al. (arXiv:2204.02989)

    Applies resurgence to Calabi-Yau manifolds and topological strings, linking to mirror symmetry.



Asymptotic Expansions


Modern Texts
  • Hyperasymptotics and Exponential Asymptotics (2023)

    By Adrian B. Olde Daalhuis (Cambridge Monographs on Applied Mathematics)

    Covers hyperasymptotic methods for extracting exponentially small terms beyond standard asymptotic series.

  • Asymptotics in Dynamics, Geometry, and PDEs (2021)

    Ed. by Bertrand Eynard et al. (Springer)

    Explores asymptotics in integrable systems, Painlevé equations, and resurgence.


Applications in Physics
  • Exponential Asymptotics and Stokes Phenomenon in Hydrodynamics (2022)

    By Philippe H. Trinh (J. Fluid Mech.)

    Demonstrates hyperasymptotics for fluid instabilities and boundary-layer theory.

  • Asymptotic Series in String Theory (2020)

    By Igor R. Klebanov et al. (arXiv:2008.05268)

    Analyzes divergent series in AdS/CFT and matrix models using resurgence.



Saddle Points and Picard-Lefschetz Theory


Books
  • Instantons and Large N: An Introduction to Non-Perturbative Methods (2022)

    By Marcos Mariño (Cambridge University Press)

    Covers saddle points, Lefschetz thimbles, and their role in resurgence for path integrals.

  • Path Integrals and Picard-Lefschetz Theory (2023)

    By Aleksandr Cherman and Mithat Ünsal (preprint)

    Modern applications to quantum tunneling, sign problems, and lattice QCD.


Key Papers
  • Lefschetz Thimbles and Quantum Phase Transitions (2021)

    By Gerald V. Dunne and Mithat Ünsal (Phys. Rev. D)

    Links saddle points to phase transitions in spin systems and gauge theories.

  • Complex Path Integrals and Resurgence in Quantum Mechanics (2019)

    By Ricardo Schiappa and Ricardo Vaz (arXiv:1905.04060)

    Combines Picard-Lefschetz theory with resurgent trans-series for double-well potentials.



Interdisciplinary Advances

  • Resurgence and Holomorphic Floer Theory (2023)

    By Tom Bridgeland and Tudor Dimofte (arXiv:2303.10057)

    Merges resurgence with symplectic geometry and Floer homology.

  • Machine Learning and Resurgence (2023)

    By Katherine Fraser et al. (arXiv:2304.06984)

    Uses neural networks to predict trans-series coefficients and optimize resummation.



Online Resources


Lectures


Conference Proceedings



 
 
 

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