QFT & Statistical Physics: Exploring Rough Paths & Constructive CFT

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In summary, the Feynman path integral allows for a statistical field theory to be derived from QFT, formalized by the Osterwalder-Schrader conditions. This has led to established connections between QFT and statistical physics, including the famous KPZ equation. Martin Hairer's work on rough paths theory has provided a rigorous understanding of the KPZ equation, which has been recognized with a Fields Medal. This theory also has connections to constructive conformal field theory, which is explained in Hairer's work on regularity structures. These structures allow for the construction of a natural Markov process to describe the Euclidean ##\Phi^{4}_{3}## quantum field theory.
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Because of the Feynman path integral, QFT can be made into a statistical field theory. In rigourous relativistic field theories, this is formalized by the Osterwalder-Schrader conditions. At any rate, there are well established links between quantum field theory and statistical physics.

A famous equation in statistical physics is the KPZ equation, which appears to involve the product of distributions and so isn't obviously well defined, which of course hasn't stopped physicists from finding it meaningful. One of this year's Fields Medals was given to Martin Hairer, apparently for being able to make rigourous sense of the KPZ equation using Terry Lyons's "rough paths" theory.

In this abstract for a talk by Lyons http://www.oxford-man.ox.ac.uk/events/what-can-rough-paths-do-for-you, it is mentioned that rough paths theory is related via Hairer's work to "John Cardy's work on constructive conformal field theory". Is there any simple introduction to what this means?
 
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http://arxiv.org/abs/1012.3873
From constructive field theory to fractional stochastic calculus. (I) An introduction: rough path theory and perturbative heuristics
Jacques Magnen, Jérémie Unterberger


http://iecl.univ-lorraine.fr/~Jeremie.Unterberger/book-rough-paths.pdf
Rough path theory
Jérémie Unterberger

http://arxiv.org/abs/1303.5113v4
A theory of regularity structures
Martin Hairer
"This allows, for the first time, to give a mathematically rigorous meaning to many interesting stochastic PDEs arising in physics. The theory comes with convergence results that allow to interpret the solutions obtained in this way as limits of classical solutions to regularised problems, possibly modified by the addition of diverging counterterms. These counterterms arise naturally through the action of a "renormalisation group" which is defined canonically in terms of the regularity structure associated to the given class of PDEs.
As an example of a novel application, we solve the long-standing problem of building a natural Markov process that is symmetric with respect to the (finite volume) measure describing the ##\Phi^{4}_{3}## Euclidean quantum field theory. It is natural to conjecture that the Markov process built in this way describes the Glauber dynamic of 3-dimensional ferromagnets near their critical temperature."


http://www.hairer.org/notes/Regularity.pdf
Introduction to regularity structures
Martin Hairer

These are short notes from a series of lectures given at the University of Rennes in June 2013, at the University of Bonn in July 2013, at the XVIIth Brazilian School of Probability in Mambucaba in August 2013, and at ETH Zurich in September 2013. They give a concise overview of the theory of regularity structures as exposed in the article [Hai14]. In order to allow to focus on the conceptual aspects of the theory, many proofs are omitted and statements are simplified. We focus on applying the theory to the problem of giving a solution theory to the stochastic quantisation equations for the Euclidean ##\Phi^{4}_{3}## quantum field theory.

 
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Related to QFT & Statistical Physics: Exploring Rough Paths & Constructive CFT

1. What is QFT & Statistical Physics?

QFT (Quantum Field Theory) and Statistical Physics are two branches of physics that deal with the study of matter and energy at the microscopic level. QFT focuses on the interactions between subatomic particles, while Statistical Physics deals with the behavior of large collections of particles.

2. What is the main goal of QFT & Statistical Physics?

The main goal of QFT & Statistical Physics is to provide a theoretical framework for understanding the fundamental processes that govern the behavior of matter and energy. This includes explaining the properties of materials, the nature of subatomic particles, and the behavior of systems at extreme temperatures and pressures.

3. What is Rough Paths & Constructive CFT in relation to QFT & Statistical Physics?

Rough Paths & Constructive CFT (Conformal Field Theory) are two mathematical tools that are used in the study of QFT & Statistical Physics. Rough Paths are a mathematical framework that allows for the analysis of irregular or "rough" paths, while Constructive CFT is a mathematical approach for solving complex problems in QFT & Statistical Physics.

4. What are some real-world applications of QFT & Statistical Physics?

QFT & Statistical Physics have numerous real-world applications, including in the fields of materials science, nuclear physics, cosmology, and quantum computing. These theories have also led to advancements in technology, such as the development of superconductors, lasers, and transistors.

5. How is QFT & Statistical Physics related to other branches of physics?

QFT & Statistical Physics are closely related to other branches of physics, such as classical mechanics, electromagnetism, and thermodynamics. These theories build upon and expand the knowledge and principles established in these other branches, providing a more complete understanding of the physical world.

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