## ABSTRACT

Minimize J[ y ] b a

F ( x, y(x), y′(x)

) dx

Subject to y(a) = ya y(b) = yb

⎫ ⎪⎪⎪⎪⎪⎬

⎪⎪⎪⎪⎪⎭

(14.1)

or subject to conditions on or including y′(a), y′(b). Also, the integral may involve higher order derivatives of y. Often the problem has a natural interpretation in terms of energy in a system. In Chapter 13 we studied minimization of a function that depends on several inde-

pendent variables, that is, unknowns to be solved for. In Chapter 14 we will minimize an integral which depends on a function which is the unknown to be solved for. That is inherently a more mind boggling problem, but results from Chapter 13 will still be relevant. A function is admissible if it is continuous and piecewise continuously differentiable

on the interval [ a, b ]. If higher order derivatives are in the integrand then the class of admissible functions may be further restricted to involve higher order differentiability. A functional is a mapping from a vector space to scalar values. For example, in (14.1)

the mapping

F ( x, y(x), y′(x)

) dx

is a functional.