Harmonic functions | Fourier analysis | Potential theory

Poisson kernel

In mathematics, and specifically in potential theory, the Poisson kernel is an integral kernel, used for solving the two-dimensional Laplace equation, given Dirichlet boundary conditions on the unit disk. The kernel can be understood as the derivative of the Green's function for the Laplace equation. It is named for Siméon Poisson. Poisson kernels commonly find applications in control theory and two-dimensional problems in electrostatics.In practice, the definition of Poisson kernels are often extended to n-dimensional problems. (Wikipedia).

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Math 139 Fourier Analysis Lecture 22: Poisson summation formula

Poisson summation formula; heat kernel for the circle; relation with heat kernel on the line. Heat kernel on the circle is an approximation of the identity. Poisson kernel on the disc is the periodization of the Poisson kernel on the upper half plane. Digression into analytic number the

From playlist Course 8: Fourier Analysis

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Poisson Kernel

Calculation of the sum of r^|n| e^intheta in closed form, which leads to an interesting fishy kernel (the *fish in French* kernel on the unit disk) Includes applications to real and complex analysis. A delight for anyone who likes power series!

From playlist Integrals

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Math 139 Fourier Analysis Lecture 20: Steady-state heat equation in the upper half plane

Statement of problem; formal solution using Fourier transform; definition of Poisson kernel on upper half plane; Fourier transform of Poisson kernel; Poisson kernel is an approximation of the identity; convolution with the Poisson kernel yields a solution; mean value property of harmonic f

From playlist Course 8: Fourier Analysis

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Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Short Introduction to the Poisson Distribution

From playlist Statistics

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Brent Pym: Holomorphic Poisson structures - lecture 2

The notion of a Poisson manifold originated in mathematical physics, where it is used to describe the equations of motion of classical mechanical systems, but it is nowadays connected with many different parts of mathematics. A key feature of any Poisson manifold is that it carries a cano

From playlist Virtual Conference

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Brent Pym: Holomorphic Poisson structures - lecture 3

The notion of a Poisson manifold originated in mathematical physics, where it is used to describe the equations of motion of classical mechanical systems, but it is nowadays connected with many different parts of mathematics. A key feature of any Poisson manifold is that it carries a cano

From playlist Virtual Conference

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I compute the Bergman kernel of the unit polydisk and the unit Euclidean ball. For my previous video on the Bergman kernel see https://www.youtube.com/watch?v=loIC28LNgNM

From playlist Several Complex Variables

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Corner Growth Model on the Circle by Eric Cator

PROGRAM FIRST-PASSAGE PERCOLATION AND RELATED MODELS (HYBRID) ORGANIZERS: Riddhipratim Basu (ICTS-TIFR, India), Jack Hanson (City University of New York, US) and Arjun Krishnan (University of Rochester, US) DATE: 11 July 2022 to 29 July 2022 VENUE: Ramanujan Lecture Hall and online This

From playlist First-Passage Percolation and Related Models 2022 Edited

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From playlist Trimester Seminar Series on the Interplay between High-Dimensional Geometry and Probability

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This video defines a Poisson distribution and then shows how to find Poisson distribution probabilities on the TI-84.

From playlist Geometric Probability Distribution

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Wilhem Stannat - Fluctuation limits for mean-field interacting nonlinear Hawkes processes

---------------------------------- Institut Henri Poincaré, 11 rue Pierre et Marie Curie, 75005 PARIS http://www.ihp.fr/ Rejoingez les réseaux sociaux de l'IHP pour être au courant de nos actualités : - Facebook : https://www.facebook.com/InstitutHenriPoincare/ - Twitter : https://twitter

From playlist Workshop "Workshop on Mathematical Modeling and Statistical Analysis in Neuroscience" - January 31st - February 4th, 2022

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Statistics - 5.3 The Poisson Distribution

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From playlist Applied Statistics (Entire Course)

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From playlist Wolfram Technology Conference 2022

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Alberto Cattaneo: An introduction to the BV-BFV Formalism

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From playlist Topology

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Odo Diekmann: Boosting and waning : on the dynamics of immune status

Abstract: The aim is to describe the distribution of immune status in an age-structured population on the basis of a within-host sub-model for continuous waning and occasional boosting. Inspired by both Feller's fundamental work and the more recent delay equation formulation of physiologic

From playlist Mathematics in Science & Technology

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Spatial Events: Spatial Statistics

Spatial point patterns are collections of randomly positioned events in space. Examples include trees in a forest, positions of stars, earthquakes, crime locations, animal sightings, etc. Spatial point data analysis, as a statistical exploration of point patterns, aims to answer questions

From playlist Wolfram Technology Conference 2021

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10: Time Series - Intro to Neural Computation

MIT 9.40 Introduction to Neural Computation, Spring 2018 Instructor: Michale Fee View the complete course: https://ocw.mit.edu/9-40S18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61I4aI5T6OaFfRK2gihjiMm Covers the Poisson Process, spike train variability, convolutio

From playlist MIT 9.40 Introduction to Neural Computation, Spring 2018

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Poisson Distribution

Definition of a Poisson distribution and a solved example of the formula. 00:00 What is a Poisson distribution? 02:39 Poisson distribution formula 03:10 Solved example 04:22 Poisson distribution vs. binomial distribution

From playlist Probability Distributions

Related pages

Lebesgue measure | Upper half-plane | Abel's theorem | Derivative | Almost everywhere | Fourier series | Unit sphere | Conformal map | Potential theory | Summability kernel | Banach space | Maximum principle | Schwarz integral formula | Unit disk | Green's function | Complex plane | Control theory | Dirac delta function | Holomorphic function | Harmonic function | Möbius transformation | Dirichlet boundary condition | Abel transform | Approximate identity | Hardy space | Lp space | Fourier transform