Calculus of Variations - Extrema

The calculus of variations is concerned with the maxima or minima of functionals, which are collectively called extrema. A functional depends on a function, somewhat analogous to the way a function can depend on a numerical variable, and thus a functional has been described as a function of a function. Functionals have extrema with respect to the elements f of a given function space defined over a given domain. A functional J is said to have an extremum at the function f0 if ΔJ = J - J has the same sign for all f in an arbitrarily small neighborhood of f0 . The function f0 is called an extremal function or extremal. The extremum J is called a maximum if ΔJ ≤ 0 everywhere in an arbitrarily small neighborhood of f0, and a minimum if ΔJ ≥ 0 there. Weak and strong extrema will be discussed after the norms that are necessary for that discussion are defined in the following.

If f is an element of the function space C(a,b) of all continuous functions that are defined on a closed interval, the norm || f ||0 defined on C(a,b) is the maximum absolute value of f (x) for axb,

 \| f \|_0 \equiv \begin{smallmatrix} \text{MAX} \\ a \le x \le b
\end{smallmatrix} \, |f(x)| \qquad \text{where} \ \ f \in C(a,b) \, .

Similarly, if f is an element of the function space D1(a,b) of all functions of C(a,b) that have continuous first derivatives, the norm || f ||1 defined on D1(a,b) is the sum of the maximum absolute value of f (x) and the maximum absolute value of its first derivative f ′(x), for axb,

 \| f \|_1 \equiv \begin{smallmatrix} \text{MAX} \\ a \le x \le b
\end{smallmatrix} \, |f(x)| \ + \begin{smallmatrix} \text{MAX} \\ a \le x \le b
\end{smallmatrix} \, |f\,'(x)| \qquad \text{where} \ \ f \in D_1(a,b) \, .

A functional J is said to have a weak extremum at the function f0 if there exists some δ > 0 such that, J - J has the same sign for all functions fD1(a,b) with || f - f0 ||1 < δ. Similarly, a functional J is said to have a strong extremum at the function f0 if there exists some δ > 0 such that, J - J has the same sign for all functions fC (a,b) with || f - f0 ||0 < δ.

Both strong and weak extrema are for a space of continuous functions but weak extrema have the additional requirement that the first derivatives of the functions in the space be continuous. A strong extremum is also a weak extremum, but the converse may not hold. Finding strong extrema is more difficult than finding weak extrema. An example of a necessary condition that is used for finding weak extrema is the Euler-Lagrange equation.

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