Caution
If you have not had Math 410 (linear algebra), then you will need to read Appendix 11.3 before starting Chapter 5.
Definition 5.1.1
A second order differential equation is said to be linear if it can be written as
We call the function on the right a forcing function, since in physical applications it is often related to a force acting on some system modeled by the differential equation. We say that Equation is homogeneous if or nonhomogeneous if .
Note: This use of homogeneous is different from how we used it in section 2.4, but should not cause confusion.
Since these definitions are like the corresponding definitions in Section 2.3 for the linear first order equation
it is natural to expect similarities between methods of solving Equation and Equation . However, solving Equation is more difficult than solving Equation . In this case it is necessary to solve the homogeneous equation
before we solve the nonhomogeneous Equation , and this section is devoted to studying (not solving) Equation .
The next theorem gives sufficient conditions for existence and uniqueness of solutions of initial value problems for Equation . We omit the proof.
Suppose and are continuous on an open interval let be any point in and let and be arbitrary real numbers Then the initial value problem
has a unique solution on
Since is obviously a solution of Equation we call it the trivial solution. Any other solution is nontrivial. Under the assumptions of Theorem 5.1.1
, the only solution of the initial value problem
on is the trivial solution.
The next three examples illustrate concepts that we’ll develop later in this section. You shouldn’t be concerned with how to find the given solutions of the equations in these examples. This will be explained in later sections.
Example
The coefficients of and in
are the constant functions and , which are continuous on . Therefore Theorem 5.1.1
implies that every initial value problem for Equation has a unique solution on .
- Verify that and are solutions of Equation on .
- Verify that if and are arbitrary constants, is a solution of Equation on .
- Solve the initial value problem
Solution a
If then and , so
If , then and , so
Solution b
If then and
so for all . Therefore is a solution of Equation on .
Solution c
We can solve Equation by choosing and in Equation so that and . Setting in Equation and Equation shows that this is equivalent to
Solving these equations yields and . Therefore is the unique solution of Equation on .
Theorem 5.1.1
implies that if and are arbitrary real numbers then the initial value problem
has a unique solution on an interval that contains , provided that , , and are continuous and has no zeros on . To see this, we rewrite the differential equation in Equation as
and apply Theorem 5.1.1
with and .
Example
The equation
has the form of the differential equation in Equation , with , , and , which are are all continuous on . However, since we must consider solutions of Equation on and . Since has no zeros on these intervals, Theorem 5.1.1
implies that the initial value problem
has a unique solution on if , or on if .
- Verify that is a solution of Equation on and is a solution of Equation on and .
- Verify that if and are any constants then is a solution of Equation on and .
- Solve the initial value problem
- Solve the initial value problem
Solution a
If then and , so for in . If , then and , so for in or .
Solution b
If then and so for in or .
Solution c
To solve Equation , we choose and in Equation so that and . Setting in Equation and Equation shows that this is equivalent to
Solving these equations yields and . Therefore is the unique solution of Equation on .
Solution d
We can solve Equation by choosing and in Equation so that and . Setting in Equation and Equation shows that this is equivalent to
Solving these equations yields and . Therefore is the unique solution of Equation on .
Caution
Although the formulas for the solutions of Equation and Equation are both , you should not conclude that these two initial value problems have the same solution. Remember that a solution of an initial value problem is defined on an interval that contains the initial point; therefore, the solution of Equation is on the interval , which contains the initial point , while the solution of Equation is on the interval , which contains the initial point .
Definition 5.1.2
If and are defined on an interval and and are constants, then we call
a linear combination of and .
Example
is a linear combination of and .
is a linear combination of and .
The next theorem states a fact that we’ve seen verified in Examples 5.1.1
and 5.1.2
.
If and are solutions of the homogeneous equation
on then any linear combination
of and is also a solution of on
Proof
If then
Therefore
since and are solutions of Equation .
The General Solution of a Homogeneous Linear Second Order Equation
You should note that both of Example 5.1.1 and Example 5.1.2 are second order homogeneous differential equations and each had two solutions; this is not a coincidence and we will see why this is true later in this chapter. For now though, we need to discuss how these solutions are "independent" from one another.
Definition 5.1.3
We say that two functions and defined on an interval are linearly independent on if neither is a constant multiple of the other on . In particular, this means that neither can be the trivial solution of Equation , since, for example, if we could write . We’ll also say that the set is linearly independent on .
Example
Since is nonconstant, and from Example 5.1.1 are linearly independent on .
Since is nonconstant, and from Example 5.1.2 are linearly independent on and .
Definition 5.1.4
We say that any set of two linearly independent solutions of on is a fundamental set of solutions of Equation on .
Example
{} is a fundamental set of solutions of the differential equation in Example 5.1.1
{} is a fundamental set of solutions of the differential equation in Example 5.1.2
Definition 5.1.5
The set of all linear combinations of a fundamental set of solutions and of Equation is called the general solution of on .
Example
is the general solution of the differential equation in Example 5.1.1.
is the general solution of the differential equation in Example 5.1.2.
Let's take a moment to discuss why a fundamental set of solutions is so important - we'll also develop an important idea we will use later in the class.
Suppose and are continuous on and is a fundamental set of solutions of the homogeneous equation
on .
Let be an arbitrary point in , and suppose a linear combination of , , is an arbitrary solution of Equation on . Then, solving for and will give us the unique solution of the initial value problem
that is, and are the numbers obtained by evaluating and at . Moreover, and can be any real numbers, since Theorem 5.1.1
implies that Equation has a solution no matter how and are chosen. Therefore is a fundamental set of solutions of Equation on if and only if it is possible to write any solution of the initial value problem Equation as . This is equivalent to requiring that the system
has a solution for every choice of . Let’s try to solve Equation .
Multiplying the first equation in Equation by and the second by yields
and subtracting the second equation here from the first yields
Multiplying the first equation in Equation by and the second by yields
and subtracting the first equation here from the second yields
If
we can divide Equation and Equation through by the quantity on the left to obtain
no matter how and are chosen. This motivates us to consider conditions on and that imply Equation .
This is only possible if and this is only the case when and are linearly independent.
The Wronskian
The expression is very important in this class and we define it formally here.
Definition 5.1.6
The function is called the Wronskian of .
The Wronskian is a determinant and is written
Suppose and are continuous on let and be solutions of
on .
Then
a. and are a set of linearly independent solutions of if and only if W on
b. and are a set of linearly dependent solutions if and only if W on
So, and are a fundamental set of solutions of if and only if W on , and is therefore the general solution of .
Example
Use Theorem 5.1.3 to verify that the solutions from Examples 5.1.1
and 5.1.2
form a fundamental set of solutions to the given differential equations.
Solution a
for all .
Solution b
for all on or .
Example
Use the Wronskian to show and are linearly dependent.
The natural question here is: why do we need a Wronskian to determine linear independence if we can just check to see if one solution is a multiple of another solution? While that is true, it won't be so easy to see linear independence if we move to higher order equations, and then it will become indispensable. Additionally, this idea plays a significant role in solving nonhomogeneous equations later in the chapter.