Renormalization group

Gaussian fixed point

A Gaussian fixed point is a fixed point of the renormalization group flow which is noninteracting in the sense that it is described by a free field theory. The word Gaussian comes from the fact that the probability distribution is Gaussian at the Gaussian fixed point. This means that Gaussian fixed points are exactly solvable (trivially solvable in fact). Slight deviations from the Gaussian fixed point can be described by perturbation theory. (Wikipedia).

Video thumbnail

Fixed and Periodic Points | Nathan Dalaklis

Fixed Points and Periodic points are two mathematical objects that come up all over the place in Dynamical systems, Differential equations, and surprisingly in Topology as well. In these videos, I introduce the concepts of fixed points and periodic points and gradually build to a proof of

From playlist The New CHALKboard

Video thumbnail

What is a fixed point?

In this video, I prove a very neat result about fixed points and give some cool applications. This is a must-see for calculus lovers, enjoy! Old Fixed Point Video: https://youtu.be/zEe5J3X6ISE Banach Fixed Point Theorem: https://youtu.be/9jL8iHw0ans Continuity Playlist: https://www.youtu

From playlist Calculus

Video thumbnail

The circle and Cartesian coordinates | Universal Hyperbolic Geometry 5 | NJ Wildberger

This video introduces basic facts about points, lines and the unit circle in terms of Cartesian coordinates. A point is an ordered pair of (rational) numbers, a line is a proportion (a:b:c) representing the equation ax+by=c, and the unit circle is x^2+y^2=1. With this notation we determine

From playlist Universal Hyperbolic Geometry

Video thumbnail

Fixed points and stability: one dimension

Shows how to determine the fixed points and their linear stability of a first-order nonlinear differential equation. Join me on Coursera: Matrix Algebra for Engineers: https://www.coursera.org/learn/matrix-algebra-engineers Differential Equations for Engineers: https://www.coursera.org

From playlist Differential Equations

Video thumbnail

KS5 - Stationary & Turning Points

"Maxima and minima and stationary points."

From playlist Differentiation (AS/Beginner)

Video thumbnail

What are opposite rays

πŸ‘‰ Learn essential definitions of points, lines, and planes. A point defines a position in space. A line is a set of points. A line can be created by a minimum of two points. A plane is a flat surface made up of at least three points. A plane contains infinite number of lines. A ray is a li

From playlist Points Lines and Planes

Video thumbnail

What are opposite rays

πŸ‘‰ Learn essential definitions of points, lines, and planes. A point defines a position in space. A line is a set of points. A line can be created by a minimum of two points. A plane is a flat surface made up of at least three points. A plane contains infinite number of lines. A ray is a li

From playlist Points Lines and Planes

Video thumbnail

What are opposite Rays

πŸ‘‰ Learn essential definitions of points, lines, and planes. A point defines a position in space. A line is a set of points. A line can be created by a minimum of two points. A plane is a flat surface made up of at least three points. A plane contains infinite number of lines. A ray is a li

From playlist Points Lines and Planes

Video thumbnail

A New Physics-Inspired Theory of Deep Learning | Optimal initialization of Neural Nets

A special video about recent exciting developments in mathematical deep learning! πŸ”₯ Make sure to check out the video if you want a quick visual summary over contents of the β€œThe principles of deep learning theory” book https://deeplearningtheory.com/. SPONSOR: Aleph Alpha πŸ‘‰ https://app.al

From playlist Explained AI/ML in your Coffee Break

Video thumbnail

Amine Marrakchi: Ergodic theory of affine isometric actions on Hilbert spaces

The Gaussian functor associates to every orthogonal representation of a group G on a Hilbert space, a probability measure preserving action of G called a Gaussian action. This construction is a fundamental tool in ergodic theory and is the source of a large and interesting class of probabi

From playlist Probability and Statistics

Video thumbnail

Measures on spaces of Riemannian metrics - Dmitry Jakobson

Dmitry Jakobson McGill University July 21, 2014 This is joint work with Y. Canzani, B. Clarke, N. Kamran, L. Silberman and J. Taylor. We construct Gaussian measure on the manifold of Riemannian metrics with the fixed volume form. We show that diameter and Laplace eigenvalue and volume entr

From playlist Mathematics

Video thumbnail

Self-avoiding walk in dimension 4 - Roland Bauerschmidt

Self-avoiding walk in dimension 4 - Roland Bauerschmidt Roland Bauerschmidt University of British Columbia; Member, School of Mathematics January 28, 2014 The (weakly) self-avoiding walk is a basic model of paths on the d-dimensional integer lattice that do not intersect (have few interse

From playlist Mathematics

Video thumbnail

Roland Bauerschmidt - The Renormalisation Group - a Mathematical Perspective (1/4)

In physics, the renormalisation group provides a powerful point of view to understand random systems with strong correlations. Despite advances in a number of particular problems, in general its mathematical justification remains a holy grail. I will give an introduction to the main concep

From playlist Roland Bauerschmidt - The Renormalisation Group - a Mathematical Perspective

Video thumbnail

A tale of two point processes in the plane by Manjunath Krishnapur

Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst

From playlist Large deviation theory in statistical physics: Recent advances and future challenges

Video thumbnail

Introduction to Wilsonian Renormalization Group by Anna Hasenfratz

PROGRAM NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (II

From playlist NUMSTRING 2022

Video thumbnail

Diffuse Decompositions of Polynomials - Daniel Kane

Daniel Kane Stanford University April 22, 2013 We study some problems relating to polynomials evaluated either at random Gaussian or random Bernoulli inputs. We present some new work on a structure theorem for degree-d polynomials with Gaussian inputs. In particular, if p is a given degree

From playlist Mathematics

Video thumbnail

Roland Bauerschmidt - The Renormalisation Group - a Mathematical Perspective (2/4)

In physics, the renormalisation group provides a powerful point of view to understand random systems with strong correlations. Despite advances in a number of particular problems, in general its mathematical justification remains a holy grail. I will give an introduction to the main concep

From playlist Roland Bauerschmidt - The Renormalisation Group - a Mathematical Perspective

Video thumbnail

Large Deviations for the Largest Eigenvalue of Sub-Gaussian Wigner Matrices by Nicholas Cook

PROGRAM: TOPICS IN HIGH DIMENSIONAL PROBABILITY ORGANIZERS: Anirban Basak (ICTS-TIFR, India) and Riddhipratim Basu (ICTS-TIFR, India) DATE & TIME: 02 January 2023 to 13 January 2023 VENUE: Ramanujan Lecture Hall This program will focus on several interconnected themes in modern probab

From playlist TOPICS IN HIGH DIMENSIONAL PROBABILITY

Video thumbnail

What is the definition of a ray

πŸ‘‰ Learn essential definitions of points, lines, and planes. A point defines a position in space. A line is a set of points. A line can be created by a minimum of two points. A plane is a flat surface made up of at least three points. A plane contains infinite number of lines. A ray is a li

From playlist Points Lines and Planes

Related pages

Fixed point (mathematics) | Quantum triviality