Applied linear operators and spectral methods/Differentiating distributions 2

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Differentiation of distributions with severe discontinuities

Now we will consider the case of differentiation of some locally continuous integrable functions whose discontinuities are more severe than simple jumps.

Example 1

Let us first look at the distribution defined by the locally integrable function

f(x)=H(x)logx

where H(x) is the Heaviside function.

Then

f,ϕ=0ϕ(x)log(x)dx

By definition

f,ϕ=f,ϕ=0ϕ(x)log(x)dx

Since the right hand side is a convergent integral, we can write

f,ϕ=limϵ0ϵϕ(x)logxdx

Integrating by parts,

f,ϕ=limϵ0[ϵϕ(x)xdx+ϕ(ϵ)log(ϵ)]

Now, as ϵ0 we have ϕ(ϵ)ϕ(0) and therefore

(1)f,ϕlimϵ0[ϵϕ(x)xdx+ϕ(0)log(ϵ)]

The right hand side of (1) gives a meaning to (i.e., regularizes) the divergent integral

0ϕ(x)xdx.

We write

f,ϕ=pf[H(x)x],ϕ

where pf[] is the pseudofunction which is defined by the right hand side of (1).

In this sense, if

f(x)=H(x)logx

then

f(x)=pf[H(x)x].

Example 2

Next let the function to be differentiated be

f(x)=log|x|

We can write this function as

f(x)=H(x)logx+H(x)log(x).

Then

f(x)=pf[H(x)x]+pf[H(x)x]=pf[1x]

where the pseudofunction 1/x is defined as the distribution

pf[1x],ϕ=limϵ0[ϵϕ(x)xdx+ϵϕ(x)xdx]

The individual terms diverge at ϵ0 but the sum does not.

In this way we have assigned a value to the usually divergent integral

ϕ(x)xdx.

This value is more commonly known as the Cauchy Principal Value. Template:Lectures