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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python
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164 5 SolvingPartialDifferentialEquations to reduce the partial differential equation to ordinary differential equations. One important technique for achieving this, is based on finite difference discretization of spatial derivatives. 5.1.1 ReductionofaPDEtoaSystemofODEs Introducea spatialmesh in˝withmesh points x0 D0<x1 <x2 < <xN DL: The space between twomeshpointsxi andxiC1, i.e. the interval Œxi;xiC1 , is call a cell. We shall here, for simplicity, assume that each cell has the same length xDxiC1 xi, i D0;:: :;N 1. Thepartial differential equation is valid at all spatial pointsx 2˝, butwemay relax this condition anddemand that it is fulfilled at the internalmeshpoints only, x1;:: :;xN 1: @u.xi;t/ @t Dˇ@ 2u.xi;t/ @x2 Cg.xi;t/; i D1;:: :;N 1: (5.5) Now, at any point xi we can approximate the second-order derivative by a finite difference: @2u.xi;t/ @x2 u.xiC1;t/ 2u.xi;t/Cu.xi 1;t/ x2 : (5.6) It is commonto introduceashortnotationui.t/ foru.xi;t/, i.e.,uapproximatedat somemesh pointxi in space. With this newnotationwe can, after inserting (5.6) in (5.5), write an approximation to the partial differential equation atmesh point .xi;t) as dui.t/ dt DˇuiC1.t/ 2ui.t/Cui 1.t/ x2 Cgi.t/; i D1;:: :;N 1: (5.7) Note thatwehaveadopted thenotationgi.t/ forg.xi;t/ too. What is (5.7)? This is nothingbut a system of ordinary differential equations in N 1unknownsu1.t/;: : : ;uN 1.t/! In otherwords,with aid of thefinite differ- ence approximation (5.6), we have reduced the single partial differential equation toasystemofODEs,whichweknowhowtosolve. In the literature, this strategy is called themethod of lines. Weneedto lookinto the initial andboundaryconditionsaswell. Theinitialcon- ditionu.x;0/D I.x/ translates to an initial condition for everyunknownfunction ui.t/: ui.0/ D I.xi/, i D 0;:: :;N . At the boundaryx D 0weneed anODE in ourODEsystem,whichmust comefromtheboundaryconditionat thispoint. The boundaryconditionreadsu.0;t/D s.t/.WecanderiveanODEfromthisequation bydifferentiatingbothsides:u00.t/D s0.t/. TheODEsystemabovecannotbeused foru00 since that equation involves somequantityu 0 1 outside thedomain. Instead, we use the equationu00.t/ D s0.t/ derived from the boundary condition. For this particular equationwealsoneed tomake sure the initial condition isu0.0/D s.0/ (otherwisenothingwill happen:wegetuD283Kforever).
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Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python
Titel
Programming for Computations – Python
Untertitel
A Gentle Introduction to Numerical Simulations with Python
Autoren
Svein Linge
Hans Petter Langtangen
Verlag
Springer Open
Datum
2016
Sprache
englisch
Lizenz
CC BY-NC 4.0
ISBN
978-3-319-32428-9
Abmessungen
17.8 x 25.4 cm
Seiten
248
Schlagwörter
Programmiersprache, Informatik, programming language, functional, imperative, object-oriented, reflective
Kategorie
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Programming for Computations – Python