Calculus of Variations

December 6, 2018

Radon–Nikodym

A measure μ on Borel subsets of the real line is absolutely continuous with respect to Lebesgue measure λ (in other words, dominated by λ ) if for every measurable set A, λ(A)=0 implies μ(A)=0. This is written as μλ.

If νμ, then there is a measurable function f:X[0,), such that for any measurable set AX,

(1)ν(A)=Afdμ

The function  f  is called the Radon–Nikodym derivative of ν with respect to μ and is denoted by dνdμ.

Riesz–Markov–Kakutani representation theorem

Let X be a locally compact Hausdorff space. For any positive linear functional ψ on Cc(X), the space of continuous compactly supported complex-valued functions on a locally compact Hausdorff space X, there is a unique regular Borel measure μ on X such that

(2)ψ(f)=Xg(x)dμ(x)

for all g in Cc(X).

Functional derivative

Given a manifold M representing (continuous/smooth) functions ρ (with certain boundary conditions etc.), and a functional F defined as

(3)F:MRorF:MC

let

(4)limε0F[ρ+εg]F[ρ]ε=[ddϵF[ρ+ϵg]]ϵ=0,

where g is an arbitrary function. This is analogous to the directional derivative

(5)limh0f(x+hv)f(x)h=[ddα f(v+α u)]α=0

The quantity εg is called the variation of ρ. In other words,

(6)ψ:g[ddϵF[ρ+ϵg]]ϵ=0

is a linear functional, so by the Riesz–Markov–Kakutani representation theorem, this functional is given by integration against some measure. Then δF/δρ(x) is defined to be the Radon–Nikodym derivative of this measure and therefore

(7)ψ(g)=g(x)δFδρ(x)dx

We think of the function δF/δρ(x) as the gradient of F at the point ρ and

g(x)δFδρ(x)dx as the directional derivative at point ρ in the direction of g.

Euler-Lagrange

Consider the functional

(8)J[f]=abL[x,f(x),f(x)]dx

where f(x)df/dx. If f is varied by adding to it a function δf, and the resulting integrand L(x,f+δf,f+δf) is expanded in powers of δf, then the change in the value of J to first order in δf can be expressed as follows:

(9)δJ=abδJδf(x)δf(x)dx.

The coefficient of δf(x), denoted as δJ/δf(x), is called the functional derivative of J with respect to f at the point x. For this example functional, the functional derivative is the left hand side of the Euler-Lagrange equation

(10)δJδf(x)=LfddxLf