Second order and higher order equations occur frequently in science and engineering (like pendulum problem etc.) and hence has its own importance. It has its own flavour also. We devote this section for an elementary introduction.
Here is an interval contained in and the functions and are real valued continuous functions defined on The functions and are called the coefficients of Equation (8.1.1) and is called the non-homogeneous term or the force function.
Equation (8.1.1) is called linear homogeneous if and non-homogeneous if
Recall that a second order equation is called nonlinear if it is not linear.
is a second order equation which is nonlinear.
We now state an important theorem whose proof is simple and is omitted.
It is to be noted here that Theorem 8.1.5 is not an existence theorem. That is, it does not assert the existence of a solution of Equation (8.1.2).
For example, all the solutions of the Equation (8.1.2) form a solution space. Note that is also a solution of Equation (8.1.2). Therefore, the solution set of a Equation (8.1.2) is non-empty. A moments reflection on Theorem 8.1.5 tells us that the solution space of Equation (8.1.2) forms a real vector space.
The natural question is to inquire about its dimension. This question will be answered in a sequence of results stated below.
We first recall the definition of Linear Dependence and Independence.
The functions are said to be linearly independent if are not linear dependent.
To proceed further and to simplify matters, we assume that in Equation (8.1.2) and that the function and are continuous on
In other words, we consider a homogeneous linear equation
The next theorem, given without proof, deals with the existence and uniqueness of solutions of Equation (8.1.3) with initial conditions for some
A word of Caution: NOTE THAT THE COEFFICIENT OF
An important application of Theorem 8.1.9 is that
the equation (8.1.3) has exactly
linearly
independent solutions. In other words, the set of all solutions
over
forms a real vector space of dimension
Use initial condition on
and
to show that the only solution is indeed
. Hence the result follows.
We now show that any solution of Equation (8.1.3) is a linear
combination of
and
.
Let
be any solution of Equation
(8.1.3) and let
and
Consider the function
defined by
(8.1.5)
The unique solutions
and
exist by virtue of Theorem
8.1.9. We now claim that
and
are linearly
independent. Consider the system of linear equations
where
and
are unknowns. If we can show that the only
solution for the system (8.1.6) is
,
then the two solutions
and
will be linearly independent.
Consider a
non-singular matrix
with
Let
be a fundamental
system for the differential Equation 8.1.3 and
Then the rows of the matrix
also form a fundamental system for
Equation 8.1.3. That is, if
is a fundamental
system for Equation 8.1.3 then
is also a fundamental system whenever
Note that
is also a fundamental
system. Here the matrix is