Partial Differential Equations
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Partial Differential Equations







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Partial Differential Equations. Introduction Adam Zornes, Deng Li Discretization Methods Chunfang Chen, Danny Thorne, Adam Zornes. What do You Stand For?. A PDE is a P artial D ifferential E quation This is an equation with derivatives of at least two variables in it.
Partial Differential Equations

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Slide 1

Partial Differential Equations

  • Introduction

    • Adam Zornes, Deng Li

  • Discretization Methods

    • Chunfang Chen, Danny Thorne, Adam Zornes

Slide 2

What do You Stand For?

  • A PDE is a Partial Differential Equation

  • This is an equation with derivatives of at least two variables in it.

  • In general, partial differential equations are much more difficult to solve analytically than are ordinary differential equations

Slide 3

What Does a PDE Look Like

  • Let u be a function of x and y. There are several ways to write a PDE, e.g.,

    • ux + uy = 0

    • du/dx + du/dy = 0

Slide 4

The Baskin Robin’s esq Characterization of PDE’s

  • The order is determined by the maximum number of derivatives of any term.

  • Linear/Nonlinear

    • A nonlinear PDE has the solution times a partial derivative or a partial derivative raised to some power in it

  • Elliptic/Parabolic/Hyperbolic

Slide 5

Six One Way

  • Say we have the following: Auxx + 2Buxy + Cuyy + Dux + Euy + F = 0.

  • Look at B2 - AC

    • < 0 elliptic

    • = 0 parabolic

    • > 0 hyperbolic

Slide 6

Or Half a Dozen Another

  • A general linear PDE of order 2:

  • Assume symmetry in coefficients so that A = [aij] is symmetric. Eig(A) are real. Let P and Z denote the number of positive and zero eigenvalues of A.

    • Elliptic: Z = 0 and P = n or Z = 0 and P = 0..

    • Parabolic: Z > 0 (det(A) = 0).

    • Hyperbolic: Z=0 and P = 1 or Z = 0 and P = n-1.

    • Ultra hyperbolic: Z = 0 and 1 < P < n-1.

Slide 7

Elliptic, Not Just For Exercise Anymore

  • Elliptic partial differential equations have applications in almost all areas of mathematics, from harmonic analysis to geometry to Lie theory, as well as numerous applications in physics.

  • The basic example of an elliptic partial differential equation is Laplace’s Equation

    • uxx - uyy = 0

Slide 8

The Others

  • The heat equation is the basic Hyperbolic

    • ut - uxx - uyy = 0

  • The wave equations are the basic Parabolic

    • ut - ux - uy = 0

    • utt - uxx - uyy = 0

  • Theoretically, all problems can be mapped to one of these

Slide 9

What Happens Where You Can’t Tell What Will Happen

  • Types of boundary conditions

    • Dirichlet: specify the value of the function on a surface

    • Neumann: specify the normal derivative of the function on a surface

    • Robin: a linear combination of both

  • Initial Conditions

Slide 10

Is It Worth the Effort?

  • Basically, is it well-posed?

    • A solution to the problem exists.

    • The solution is unique.

    • The solution depends continuously on the problem data.

  • In practice, this usually involves correctly specifying the boundary conditions

Slide 11

Why Should You Stay Awake for the Remainder of the Talk?

  • Enormous application to computational science, reaching into almost every nook and cranny of the field including, but not limited to: physics, chemistry, etc.

Slide 12

Example

  • Laplace’s equation involves a steady state in systems of electric or magnetic fields in a vacuum or the steady flow of incompressible non-viscous fluids

  • Poisson’s equation is a variation of Laplace when an outside force is applied to the system

Slide 13

Poisson Equation in 2D

Slide 14

Example: CFD

Slide 15

Coupled Eigenvalue Problem

  • Structure/Acoustic Coupled system

Slide 16

3D Coupled Problem

Ω0 : a three-dimensional acoustic region,

S0 : a plate region,

Γ0=∂Ω0\S0 : a part of the boundary of the acoustic field,

∂S0 : the boundary of the plate,

P0 : the acoustic pressure in Ω0,

U0 : the vertical plate displacement,

c : the sound velocity,

ρ0 : the air mass density,

D : the flexural rigidity of plate,

ρ1 : the plate mass density,

n : the outward normal vector on ∂Ω from Ω0, and

σ : the outward normal vector on ∂S0 from S0.

Slide 17

2D Coupled Problem

Slide 18

2D Un-coupled Problem

  • Acoustic Problem

Slide 19

2D Un-coupled Problem

  • Structure Problem

,

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Slide 20

HomeworkMake the procese how to get theeigenvalue of structure problem(on previous page).


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