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Conditional Variation
Suppose that we wish to find the function,
, that
maximizes or minimizes the functional
 |
(B.45) |
subject to the constraint that the value of
 |
(B.46) |
remains constant. We can achieve our goal by finding an extremum of the new functional
, where
is an undetermined function. We know
that
, because the value of
is fixed, so if
then
as well. In other words, finding an extremum of
is equivalent
to finding an extremum of
. Application of the Euler-Lagrange
equation yields
![$\displaystyle \frac{d}{dx}\!\left(\frac{\partial F}{\partial y'}\right)-\frac{\...
...da G]}{\partial y'}\right)-\frac{\partial [\lambda G]}{\partial y}\right]= 0.$](img3001.png) |
(B.47) |
In principle, the previous equation, together with the constraint (B.46),
yields the functions
and
. Incidentally,
is generally
termed a Lagrange multiplier. If
and
have no explicit
-dependence then
is usually a constant.
As an example, consider the following famous problem. Suppose that a uniform
chain of fixed length
is suspended by its ends from
two equal-height fixed points that are a distance
apart, where
.
What is the equilibrium configuration of the chain?
Suppose that the chain has the uniform density per unit length
.
Let the
- and
-axes be horizontal and vertical, respectively, and
let the two ends of the chain lie at
. The equilibrium configuration of the chain is specified by the function
, for
, where
is the vertical distance of the chain below its end points at horizontal
position
. Of course,
.
The stable equilibrium
state of a conservative dynamical system is one that minimizes
the system's potential energy. The potential energy of the chain
is written
![$\displaystyle U = - \rho g \int y ds = - \rho g \int_{-a/2}^{a/2} y [1+y'^{ 2}]^{1/2} dx,$](img3006.png) |
(B.48) |
where
is an element of length along the chain, and
the acceleration due to gravity.
Hence, we need to minimize
with respect to small variations in
.
However, the variations in
must be such as to conserve the
fixed length of the chain. Hence, our minimization procedure is subject to
the constraint that
![$\displaystyle l = \int ds = \int_{-a/2}^{a/2}[1+y'^{ 2}]^{1/2} dx$](img3008.png) |
(B.49) |
remains constant.
It follows, from the previous discussion, that we need to minimize the
functional
![$\displaystyle K = U + \lambda l = \int_{-a/2}^{a/2}(-\rho g y+\lambda) [1+y'^{ 2}]^{1/2} dx,$](img3009.png) |
(B.50) |
where
is an, as yet, undetermined constant. Because the integrand
in the functional does not depend explicitly on
, we have
from Equation (B.42) that
![$\displaystyle y'^{ 2} (-\rho g y+\lambda) [1+y'^{ 2}]^{-1/2} - (-\rho g y+\lambda) [1+y'^{ 2}]^{1/2} = k,$](img3010.png) |
(B.51) |
where
is a constant. This expression reduces to
 |
(B.52) |
where
, and
.
Let
 |
(B.53) |
Making this substitution, Equation (B.52) yields
 |
(B.54) |
Hence,
 |
(B.55) |
where
is a constant. It follows from Equation (B.53) that
![$\displaystyle y(x) =-h\left[\lambda' + \cosh\left(-\frac{x}{h} + c\right)\right].$](img3017.png) |
(B.56) |
The previous solution contains three undetermined constants,
,
, and
. We can
eliminate two of these constants by application of the boundary
conditions
. This yields
 |
(B.57) |
Hence,
, and
. It follows that
![$\displaystyle y(x) = h\left[\cosh\left(\frac{a}{2 h}\right) - \cosh\left(\frac{x}{h}\right)\right].$](img3022.png) |
(B.58) |
The final unknown constant,
, is determined via the application of
the constraint (B.49). Thus,
![$\displaystyle l= \int_{-a/2}^{a/2}[1+y'^{ 2}]^{1/2} dx = \int_{-a/2}^{a/2} \cosh\left(\frac{x}{h}\right) dx = 2 h \sinh\left(\frac{a}{2 h}\right).$](img3023.png) |
(B.59) |
Hence, the equilibrium configuration of the chain is given by the curve
(B.58), which is known as a catenary, where the parameter
satisfies
 |
(B.60) |
Next: Multi-Function Variation
Up: Classical Mechanics
Previous: Calculus of Variations
Richard Fitzpatrick
2016-01-25