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Partial Differential Equations • Introduction – Adam Zornes, Deng Li • Discretization Methods – Chunfang Chen, Danny Thorne, Adam Zornes

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Page 1: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

Partial Differential Equations

• Introduction– Adam Zornes, Deng Li

• Discretization Methods– Chunfang Chen, Danny Thorne, Adam

Zornes

Page 2: 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 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

Page 3: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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

– u/x + u/y = 0

Page 4: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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

Page 5: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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

Page 6: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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.

aijuxi x j + biuxi + cu=di=1

n

∑i, j=1

n

∑ .

Page 7: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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

Page 8: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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

Page 9: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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

Page 10: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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

Page 11: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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.

Page 12: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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

Page 13: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

Poisson Equation in 2D

Page 14: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

Example: CFD

Page 15: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

Coupled Eigenvalue Problem

• Structure/Acoustic Coupled system

Page 16: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

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, andσ : the outward normal vector on ∂S0 from S0.

Page 17: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

2D Coupled Problem

Page 18: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

2D Un-coupled Problem

• Acoustic Problem

Page 19: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

2D Un-coupled Problem

• Structure Problem

0

0

0

0 0

2 2 2, , 0

0

20 0

4 2, 1 0

2

02

0 ,

| 0 ,

| ,

| ,

| | 0 .

x y z

S

y z S

S S

c P P in

P on

PU on S

nD U U P on S

UU on S

ω

ρ ωω ρ

σ

Γ

∂ ∂

⎧− ∇ − = Ω⎪ = Γ⎪⎪∂⎪ =⎨∂⎪ ∇ − =⎪⎪ ∂

= = ∂⎪∂⎩

,

.

Page 20: Partial Differential Equations Introduction –Adam Zornes, Deng Li Discretization Methods –Chunfang Chen, Danny Thorne, Adam Zornes

Homework

Make the procese how to get theeigenvalue of structure problem

(on previous page).