Minimizing a Functional with a Path Length Constraint

Question

Say you have some functional of the form $\int_0^{t_f} L(x,\dot{x},y,\dot{y},z,\dot{z}) dt$ that you're trying to minimize. Normally one can solve this using the Euler-Lagrange equations, and when you have a constraint you can add that to the Lagrangian using Lagrange multipliers. But how do you handle it when the constraint is that the path has to have a specific length, i.e. we require $\int_0^{t_f} \sqrt{\dot{x}^2+\dot{y}^2+\dot{z}^2} dt = a$ for some fixed $a$? Would it suffice to add a Lagrange multiplier of $\lambda(\int_0^{t_f} \sqrt{\dot{x}^2+\dot{y}^2+\dot{z}^2} dt - a)$ to $L$ and move the derivatives inside the integral when applying the Euler-Lagrange equations, or is some other method required?

Answer 1

Constrained calculus of variations problems can be hard. Here is an example of optimizing a functional with respect to a differential equation constraint.

I can get the answer to you tomorrow; there's a book with the answer in it that I left elsewhere, but I'll get it tomorrow and look it up for you.

For what it's worth, those are called isoperimetric problems. Maybe you can find the answer before I do tomorrow :)