Partial Differential Equations - Lecture Notes | MAT 201C, Study notes of Mathematical Methods for Numerical Analysis and Optimization

Material Type: Notes; Class: Analysis; Subject: Mathematics; University: University of California - Davis; Term: Spring 2010;

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Chapter 8
Partial Differential Equations
8.1 Introduction
Definition. PDE: the generic notation
f(Dαu) = 0
where f: function space R( or C). |α|is called the order of differential equation equation.
Example. u= 0 in Rn,u:RnC.L= = Pn
i=1
2
∂x2
iis a linear operator.
Most interesting examples of PDE tend to be nonlinear systems of PDE. PDE courses in general start
with scalar linear PDE’s:
1. Elliptic: Laplace’s equation u= 0 / Poisson’s equation u=f.
2. Parabolic: Heat equation tuu= 0.
3. Hyperbolic: Wave equation 2
tuu= 0.
Differential operators are unbounded operators. That is, taking derivatives does not preserve continuity,
differentiability, etc. Properties of the function spaces changes.
Methods for dealing with unbounded operators:
1. Weak solutions (distributions)
2. Green’s functions.
8.2 Green’s Functions
Associated to a differential operator is a natural domain. Let Abe a differential operator. D(A) is the
subset of the function space that we want to consider.
Example. Aku=u00 (ODE), k= 1,2,3,4. D(A) may be many different things.
1. D(A1) = uC2([0,1]) : u(0) = u(1) = 0.
2. D(A2) = C2([0,1]).
3. D(A3) = H2((0,1)).
4. D(A4) = uH2((0,1)) : u(0) = u(1) = 0
Green’s function act as an inverse to certain differential operators.
Work now where D(A) H,Hfor Hilbert space like L2(Ω), Hk(Ω).
Want D(A) to be density defined in H. If D(A) is not dense in H, mo dify A= 0 on D(A).
1
pf3
pf4
pf5

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Chapter 8

Partial Differential Equations

8.1 Introduction

Definition. PDE: the generic notation f (Dαu) = 0

where f : function space → R ( or C). |α| is called the order of differential equation equation.

Example. ∆u = 0 in Rn, u : Rn^ → C. L = ∆ =

∑n i=

∂^2 ∂x^2 i^ is a linear operator.

Most interesting examples of PDE tend to be nonlinear systems of PDE. PDE courses in general start with scalar linear PDE’s:

  1. Elliptic: Laplace’s equation ∆u = 0 / Poisson’s equation ∆u = f.
  2. Parabolic: Heat equation ∂tu − ∆u = 0.
  3. Hyperbolic: Wave equation ∂^2 t u − ∆u = 0.

Differential operators are unbounded operators. That is, taking derivatives does not preserve continuity, differentiability, etc. Properties of the function spaces changes. Methods for dealing with unbounded operators:

  1. Weak solutions (distributions)
  2. Green’s functions.

8.2 Green’s Functions

Associated to a differential operator is a natural domain. Let A be a differential operator. D(A) is the subset of the function space that we want to consider.

Example. Aku = u′′^ (ODE), k = 1, 2 , 3 , 4. D(A) may be many different things.

  1. D(A 1 ) =

u ∈ C^2 ([0, 1]) : u(0) = u(1) = 0

2. D(A 2 ) = C^2 ([0, 1]).

3. D(A 3 ) = H^2 ((0, 1)).

4. D(A 4 ) =

u ∈ H^2 ((0, 1)) : u(0) = u(1) = 0

Green’s function act as an inverse to certain differential operators. Work now where D(A) ⊂ H, H for Hilbert space like L^2 (Ω), Hk(Ω). Want D(A) to be density defined in H. If D(A) is not dense in H, modify A = 0 on D(A)⊥.

Definition. A : D(A) ⊂ H → H is a densely defined unbounded linear operator on H if its adjoint A∗^ : D(A∗) ⊂ H → H is the operator with

D(A∗) = {y ∈ H : there exists z ∈ H with 〈Ax, y〉 = 〈x, z〉 for all x ∈ D(A)}.

If y ∈ D(A∗) define A∗y = z, where z is the unique element such that 〈Ax, y〉 = 〈x, z〉 for all x ∈ D(A).

Just like dual space: Note that boundary conditions for A come from D(A) and D(A∗) gives boundary conditions for A∗. We call A is self-adjoint if A∗^ = A, i.e., A∗x = Ax for all x ∈ D(A) and also D(A) = D(A∗); symmetric if A∗Ax = Ax for all x ∈ D(A), A∗^ is an extension of A if D(A) ⊂ D(A∗).

Example. Computing adjoints formally. Let

Au = au′′^ + bu′^ + cu

where a ∈ C^2 ([0, 1]), a ∈ C^1 ([0, 1]), a ∈ C([0, 1]). Let 〈·, ·〉 be the usual inner product.

A∗v = (av)′′^ − (bv)′^ + cv.

For all u, v ∈ C^2 ([0, 1]),

〈v, Au〉 − 〈Av, u〉 =

a(vu′^ − v′u) + (b − a)∇u

1 0

just proof by integration by parts

〈v, Au〉 =

0

v(au′′^ + bu′^ + cu)dx.

Possible domain: H^2 ((0, 1)). If the above a, b, c are smooth enough, then the above formula (Green’s formula holds for all u, v ∈ H^2 ((0, 1)), not formal anymore. The proof is: If u, v ∈ H^2 ((0, 1)), there exists {un} , {vn} ∈ C∞((0, 1)) such that un → u and vn → v in H^2 ((0, 1)). Formula holds for un, vn:

〈vn, Aun〉 − 〈Avn, un〉 = (a(vnu′ n − v n′un) + (b − a)∇u)

1 0

pointwise converges since, by Sobolev embedding, un, vn are C^1.

Assume Au = f , u(0) = u(1) = 0, and given f : [0, 1] → C is continuous. We want to find

u(x) =

0

g(x, y)f (y)dx

where g is called the Green;s function of the above system. Let

D(A) =

u ∈ C^2 ([0, 1]) | u(0) = u(1) = 0

then G : C([0, 1]) → D(A) defined by

Gf (x) =

0

g(x, y)f (y)dy

is the inverse of A. (idea: Au = f , Gf = u) Write the equation for the green’s function in terms of δ(x), i.e., g(x, y) must solve

Ag(x, y) = δ(x − y), g(0, y) = g(1, y) = 0

Formally

Au(x) =

0

Ag(x, y)f (y)dy =

0

δ(x − y)f (y)dy = f (x),

and boundary condition

u(0) =

0

g(0, y)f (y) = 0, u(1) =

0

g(1, y)f (y) = 0.

So u(x, t) = ( û(ξ, t))∨^ is what we mean by the notation. FACT2: Consider ∂^2 t u − c^2 ∆u = 0 with speed c = 1 for us. If f, g are supported in {x ∈ Rn^ : |x| ≤ M }, then u(·, t) is supported in {x ∈ Rn^ : |x| ≤ M + t}. look first at f part of the solution: f has support in {|x| ≤ M }

u(x, t) = cos(Dt)f = (cos(̂ Dt)f )∨^ = (cos(2π |ξ| t)f̂ (ξ))∨

=

e^2 πi|ξ|t^ + e−^2 πi|x|t 2

f

τ̂−tf (ξ) + τ̂tf (ξ)

(f (x + t) + f (x − t))

So if supp f ⊂ {|x| ≤ M }, then supp f (x ± t) ⊂ {|x| ≤ M + t}. Now see g part for n = 1, and obtain in the general solution in n = 1. Not in Fourier form. By Fourier inversion formula, ∫ (^) ∞

−∞

f (ξ)

e^2 πi(x+t)|ξ|^ + e^2 πi(x−t)|ξ| 2

dξ =

(f (x + t) + f (x − t)).

g part

∫ (^) ∞

−∞

g(ξ) e^2 πi(x+t)|ξ|^ − e^2 πi(x−t)|ξ| 4 πiξ

dξ =

−∞

g(k)

∫ (^) x+t

x−t

e^2 πisk 2

dk

∫ (^) x+t

x−t

−∞

g(k)e^2 πiskdkds =

∫ (^) x+t

x−t

g(s)ds.

D’Alembert’s solution to wave equation: (n = 1)

u(x, t) =

(f (x + t) + f (x − t)) +

∫ (^) x+t

x−t

g(s)ds

FACT3: Define the energy for wave equation:

E(t) =

Rn

|∂tu|^2 + |∇u|^2 dt.

Claim E(t) = E(0) where

E(0) =

Rn

|∂tu(x, 0)|^2 + |∇u(x, 0)|^2 dx =

Rn

|g|^2 + |∇f |^2 dx.

We will prove that for all t, E(t) = E(0), furthermore

lim t→∞

Rn

|∂tu|^2 (x, t)dx =

E(0)

Equipartition of energy: E(0) 2

|∂tu|^2 ,

E(0)

|∇u|^2

The equipartition of energy will follow from our Fourier representation of the solution and a modification of the Riemann-Lebesgue lemma (Brodsky) Energy method very standard technique for understanding linear/nonlinear PDE. Idea in general, take equation, multiply by some number of derivatives of u (or just u) and integrate: (Assume u ∈ C 0 ∞ (Rn) )

Rn

∂ t^2 u − ∆u

∂tu dx =

Rn

(∂^2 t u)∂tu dx −

Rn

(∆u)∂tu dx,

where ∫

Rn

(∂^2 t u)∂tu dx =

Rn

∂t(∂tu)^2 dx =

d dt

Rn

(∂tu)^2 dx,

Rn

∆u∂tu dx = +

Rn

∂xi u∂t∂xi u dx =

d dt

Rn

|∂xi u|^2 dx =

d dt

Rn

|∇u|^2 dx.

So

0 =

Rn

∂^2 t u − ∆u

u dx =

d dt

Rn

(∂tu)^2 + |∇u|^2 dx =

d dt E(t).

Thus E(t) = E(0), i.e., energy for wave equation conserved. Also,

E(t) = E(0) =

|g|^2 + |∇f |^2 dx.

Now we want to show

lim t→∞

Rn

|∂tu|^2 (x, t)dx =

E(0)

(Recall Riemann-Lebesgue Lemma: f ∈ L^1 , then f̂ is continuous and f̂ (ξ) → 0 as |ξ| → ∞. Recall

Plancherel: ‖f ‖L 2 =

∥̂f

L^2

Note that ̂u is in FACT1,

∂t ̂u = − 2 π |k| sin(2π |k| t)f̂ (k) + cos(2π |k| t)̂g(k),

and

(∂t ̂u)^2 = 4π^2 |k|^2 sin^2 (2π |k| t)f̂ (k)^2 + cos^2 (2π |k| t)̂g(k)^2 − 4 π |k| sin(2π |k| t) cos(2π |k| t)f̂ (k)̂g(k).

Apply triangular double-angle identity, and apply Plancherel

∫ (∂tu)^2 dx =

(∂t û)^2 dk

= 12 ∫^ |g|^2 + |∇f |^2 dx ︷ ︸︸ ︷ 1 2

4 π^2 |k|^2 f̂ (k)^2 +

g(k)^2 dk

cos(4π |k| t)

g(k)^2 − 4 π^2 |k|^2 f̂ 2

dk −

4 π |k| sin(2π |k| t) cos(2π |k| t)f̂ (k)̂g(k)dk

Since f, g ∈ L^2 , we have f ,̂ ĝ ∈ L^2 and f̂ 2 , ̂g^2 , f̂ ̂g ∈ L^1. Hence

∫ cos(4π |k| t)

∈ L^1 ︷ ︸︸ ︷̂ g(k)^2 − 4 π^2 |k|^2 f̂ 2

dk → 0

as t → ∞.

8.4 Weak Solution

Weak form of the wave equation. Assume u ∈ C^2 (Rn) so all the derivatives in wave equation make sense

∂^2 t u − ∆u = F (x, t), x ∈ Rn, t > 0 u(x, 0) = f (x) ∂u ∂t

(x, 0) = g(x)

Now take φ ∈ C 0 ∞ (Rn+1) and φ = φ(x, t) has compact support in x (i.e., φ(0, x) is not necessarily zero). Multiply φ by F and integrate over space and time: ∫

t> 0

Rn

φF dxdt =

t> 0

Rn

φ

∂^2 t u − ∆u

dxdt.