Next: More Matrix Eigenvalue Theory
Up: Coupled Oscillations
Previous: Equilibrium State
It is evident that if our system is initialized in some equilibrium state, with
all of the
set to zero, then it will remain in this state for ever.
But what happens if the system is slightly perturbed from the equilibrium
state?
Let
 |
(774) |
for
, where the
are small. To lowest order in
, the
kinetic energy (770) can be written
 |
(775) |
where
 |
(776) |
and
 |
(777) |
Note that the weights
in the quadratic form (775) are now constants.
Taylor expanding the potential energy function about the equilibrium state, up to second-order in the
, we obtain
 |
(778) |
where
, the
are specified in Equation (773), and
 |
(779) |
Now, we can set
to zero without loss of generality. Moreover, according to Equation (773), the
are all zero. Hence, the expression (778) reduces to
 |
(780) |
Note that, since
, the constants weights
in the
above quadratic form are invariant under interchange of the indices
and
: i.e.,
 |
(781) |
With
and
specified by the quadratic forms (775) and (780), respectively, Lagrange's equations of motion (772) reduce to
 |
(782) |
for
.
Note that the above coupled differential equations are linear in the
. It follows
that the solutions are superposable.
Let us search for solutions of the above equations in which all of the perturbed coordinates
have a common time variation of the form
 |
(783) |
for
.
Now, Equations (782) are a set of
second-order differential equations.
Hence, the most general solution contains
arbitrary constants of integration. Thus, if we can find sufficient independent solutions of the form (783) to Equations (782) that the superposition
of these solutions contains
arbitrary constants then we can be sure that we
have found the most general solution. Equations
(782) and (783) yield
 |
(784) |
which can be written more succinctly as a matrix equation:
 |
(785) |
Here,
is the real [see Equation (779)] symmetric [see Equation (781)]
matrix of the
values.
Furthermore,
is the real [see Equation (770)] symmetric [see Equation (777)]
matrix of the
values. Finally,
is the
vector of the
values, and
is a null vector.
Next: More Matrix Eigenvalue Theory
Up: Coupled Oscillations
Previous: Equilibrium State
Richard Fitzpatrick
2011-03-31