Its been about 8 months since I've updated this. This post will probably be the first of two on systems of differential equations.
Systems of Differential Equations (Part I)
In all the previous posts, we dealt with differential equations that had one dependent variable. Now, we introduce the idea of a system of differential equations that have two or more dependent variables. For now, we consider first order systems of two (or three) differential equations.
When we construct our system, we consider the following:
where

is the independent variable. A solution to this system would be a pair of functions

and

such that both equations were satisfied.
Let's go through the following example to introduce us to solving techniques.
Example 23 Find a general solution to the following system of differential equations:
To solve this, we will use techniques in solving second order differential equations.
Since

, we see that when we differentiate the equation wrt x, we have

. Now take notice that

was defined in the second equation. So it follows that

. Also, since

, it now follows that we have

, which becomes the second order equation

.
From here, its a walk in the park...
The characteristic equation is

. Thus,

and

. Therefore,

.
Now that we have a solution for x, we can find the solution for y, since

. It now follows that

.
These two functions form the solution to this system of differential equations.
Let's go through another simple example:
Example 24 Find a particular solution to the system of differential equations
given that 
and

.
Again, we note that

.
We then substitute this value into the second equation to get

.
Now, substitute the first equation into the second to obtain the second order equation
The characteristic equation is
Thus,
Since

, it follows that
We now apply the initial conditions:
Therefore, our pair of solutions to the system of differential equations is

and
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Let us now move on to a technique that is good for solving small systems of differential equations. (We will resort to matrix methods when we have 4 or more equations -- that will be the next post.)
The Method of Elimination
As the title suggests, we will use elimination techniques to help us reduce the system of equations into a differential equation with one unknown variable.
Let us consider a
nth order linear differential operator
where

represents differentiation with respect to

.
Let's now consider a system of differential equations defined by
where

,

,

and

are (different) linear differential operators.
Let's say we wanted to eliminate the independent variable

. Multiplying the first equation by

and the second equation by

, we have the system
Since the linear differential operators multiply like regular polynomials, it follows that

. Now we can subtract the two equations to get
With minor manipulations, we end up with
Once we know what

is, we can then substitute it into either equation in the original system.
Similarly, if we eliminate

, we end up with
Let us go through a couple examples.
Example 25 Find the general solution for the system
Let us first eliminate

.
Then it follows that we have the equation

.
Now the characteristic equation is

. It follows that

or

.
Thus,

.
If we choose to eliminate

instead, we get

.
Thus, it follows that

.
However, there is a slight dilemma. It appears that our solution set contains
four different arbitrary constants. However, by the Theorem for Existence and Uniqueness of Linear Systems, since we have two equations in our system, we should only have exactly two different arbitrary constants. So what now? The solution is simple: Substitute both functions into one of the equations in the original system.
If we substitute them into the first equation

, we see that

.
We now use the fact that

and

are linearly independent. Thus, it follows that

and

.
Therefore, the general solution to our system is

and
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The next post in the tutorial will be on matrix methods to solving systems of differential equations. I will try to post that in the next couple days.