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In this section we will verify that certain functions are solutions
to first order PDEs. Consider the first order wave equation,
 |
(1.2) |
where
is a constant called the wave speed. We now verify
that the following are all solutions to Equation (1.2).
Example 1. .5
-
The solution is shown in Figure 1.1 at various values of
.
It clearly demonstrates that the initial shape of the function is
maintained and simply propagates to the right.
Figure 1.1:
The solution,
as a function of
at various
values of
.
|
|
-
Hence, the equation is satisfied. Note that
is continuous but
the partial derivatives are not continuous. The solution is shown in
Figure 1.2 for various values of
.
Figure 1.2:
The solution,
as a function of
at various
values of
.
|
|
where
is an arbitrary function. It is
easier to understand what is happening if we define
, so
that
. Hence, the partial derivatives, on using the chain
rule, are
Therefore,
for any functional form for
. This illustrates an important point.
Ordinary differential equations have arbitrary constants but Partial
differential equations have arbitrary functions. The
function
is determined by an initial condition.
- Assume that the initial condition, at
, is
,
where
is a prescribed function. Now if
Hence, the unknown function,
is the prescribed function,
but
the argument is replaced by
. Hence, the solution is
As an illustration, if
, then
satisfies Equation (1.2) and the initial condition.
The next example will verify the solution to other equations, in terms
of an arbitrary function with a specific argument.
Example 1. .6
- Consider the linear, equation
The solution is
, where
is an arbitrary
function.
Hence,
and the equation is satisfied.
- Consider the linear equation without non-constant
coefficients,
The solution is given by
, where
is again an
arbitrary function but this time
.
and so the equation is clearly satisfied.
How do we decide on the argument of the arbitrary functions?
Next: Method of Characteristics
Up: Partial Differential Equations of
Previous: Revision of Partial Differentiation
Prof. Alan Hood
2000-10-30