SOLUTION OF STOCHASTIC HEAT EQUATION

We consider heat distribution problem in a bar of finite length under random heat source. The phenomenon is modelled as one dimensional stochastic heat equation. Analytically the equation is written as an abstract Cauchy problem in an appropriate Hilbert space. It is solved via semigroup theory t...

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Main Author: Robby
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/44323
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:44323
spelling id-itb.:443232019-10-10T10:23:53ZSOLUTION OF STOCHASTIC HEAT EQUATION Robby Indonesia Final Project stochastic heat equation, abstract Cauchy problem, semigroup theory INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/44323 We consider heat distribution problem in a bar of finite length under random heat source. The phenomenon is modelled as one dimensional stochastic heat equation. Analytically the equation is written as an abstract Cauchy problem in an appropriate Hilbert space. It is solved via semigroup theory to get a mild solution. The solution of this problem is simulated using Python. The numpy package is used for the vector and matrix computation, and the matplotlib package is used for plotting. We observe disintegration of smoothing effect of the heat equation by the presence of white noise modelled after the random heat source; the solution to the stochastic heat equation loses in regularity. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description We consider heat distribution problem in a bar of finite length under random heat source. The phenomenon is modelled as one dimensional stochastic heat equation. Analytically the equation is written as an abstract Cauchy problem in an appropriate Hilbert space. It is solved via semigroup theory to get a mild solution. The solution of this problem is simulated using Python. The numpy package is used for the vector and matrix computation, and the matplotlib package is used for plotting. We observe disintegration of smoothing effect of the heat equation by the presence of white noise modelled after the random heat source; the solution to the stochastic heat equation loses in regularity.
format Final Project
author Robby
spellingShingle Robby
SOLUTION OF STOCHASTIC HEAT EQUATION
author_facet Robby
author_sort Robby
title SOLUTION OF STOCHASTIC HEAT EQUATION
title_short SOLUTION OF STOCHASTIC HEAT EQUATION
title_full SOLUTION OF STOCHASTIC HEAT EQUATION
title_fullStr SOLUTION OF STOCHASTIC HEAT EQUATION
title_full_unstemmed SOLUTION OF STOCHASTIC HEAT EQUATION
title_sort solution of stochastic heat equation
url https://digilib.itb.ac.id/gdl/view/44323
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