Applied linear operators and spectral methods/Differential equations of distributions

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Differential equations in the sense of distributions

We can also generalize the notion of a differential equation.

Definition:

The differential equation u=f is a differential equation in the sense of a distribution (i.e., in the weak sense) if f and u are distributions and all the derivatives are interpreted in the weak sense.

Suppose is the generalized differential operator

=an(x)dndxn+an1(x)d(n1)dx(n1)++a0(x)

where ai(x) is infinitely differentiable.

We seek a u such that

u,ϕ=f,ϕϕD

which is taken to mean that

u,*ϕ=f,ϕϕD.

Note that

ak(x)dkudxk,ϕ=dkudxk,ak(x)ϕ=(1)ku,ddxk[ak(x)ϕ]

Therefore,

*ϕ=(1)ndn(anϕ)dxn+(1)n1d(n1)(an1ϕ)dx(n1)++a0ϕ.

Here * is the formal adjoint of . We can check that (*)*=. If =* we say that is formally self adjoint.

For example, if n=2 then

=a2(x)d2dx2+a1(x)ddx+a0(x)

Then

*ϕ=d2(a2ϕ)dx2d(a1ϕ)dx+a0ϕ

or,

*ϕ=a2ϕ+(2a'2a1)ϕ+(a'2a'1+a0)ϕ.

Therefore, for * to be self adjoint,

*ϕ=ϕ=a2ϕ+a1ϕ+a0ϕ

Hence

a'2=a1a'2=a1.

In such a case, is called a Sturm-Liouville operator.

Example

To solve the differential equation

xdudx=0

we seek a distribution u which satisfies

xu,ϕ=u,(xϕ)=0

Define ψ:=(xϕ). Then ψ must be a test function. We can show that ψ is a test function if and only if

(2)ψ(x)dx=0and0ψ(x)dx=0

Now let us pick two test functions ϕ0 and ϕ1 satisfying

ϕ0(x)dx=0and0ϕ0(x)dx=1

and

ϕ1(x)dx=1and0ϕ1(x)dx=0

Then we can write any arbitrary test function ϕ(x) as a linear combination of ϕ0 and ϕ1 plus a terms which has the form of ψ:

ϕ(x)=ϕ0(x)0ϕ(s)ds+ϕ1(x)ϕ(s)ds+ψ(x)

which serves to define ψ(x). Note that ψ satisfies equation (2).

Since u,ψ=0, the action of u on ϕ is given by

u,ϕ=u,ϕ0H(x)ϕ(s)ds+u,ϕ1ϕ(s)ds

Therefore the solution is

u=C1H(x)+C2

where C1:=u,ϕ0 and C2:=u,ϕ1. Template:Lectures