In this section we need to take a look at the equation of a line in R 3 R 3 . As we saw in the previous section the equation y = m x + b y = m x + b does not describe a line in R 3 R 3 , instead it describes a plane. This doesn’t mean however that we can’t write down an equation for a line in 3-D space. We’re just going to need a new way of writing down the equation of a curve. So, before we get into the equations of lines we first need to briefly look at vector functions. We’re going to take a more in depth look at vector functions later. At this point all that we need to worry about is notational issues and how they can be used to give the equation of a curve. The best way to get an idea of what a vector function is and what its graph looks like is to look at an example. So, consider the following vector function. → r ( t ) = ⟨ t , 1 ⟩ r → ( t ) = ⟨ t , 1 ⟩ A vector function is a function that takes one or more variables, one in this case, and returns a...
There’s not too much to this section. We’re just going to work an example to illustrate how Laplace transforms can be used to solve systems of differential equations.
Example 1 Solve the following system.
First notice that the system is not given in matrix form. This is because the system won’t be solved in matrix form. Also note that the system is nonhomogeneous.
We start just as we did when we used Laplace transforms to solve single differential equations. We take the transform of both differential equations.
Now plug in the initial condition and simplify things a little.
Now we need to solve this for one of the transforms. We’ll do this by multiplying the top equation by and the bottom by -3 and then adding. This gives,
Solving for gives,
Partial fractioning gives,
Taking the inverse transform gives us the first solution,
Now to find the second solution we could go back up and eliminate to find the transform for and sometimes we would need to do that. However, in this case notice that the second differential equation is,
So, plugging the first solution in and integrating gives,
Now, reapplying the second initial condition to get the constant of integration gives
The second solution is then,
So, putting all this together gives the solution to the system as,
We start just as we did when we used Laplace transforms to solve single differential equations. We take the transform of both differential equations.
Now plug in the initial condition and simplify things a little.
Now we need to solve this for one of the transforms. We’ll do this by multiplying the top equation by and the bottom by -3 and then adding. This gives,
Solving for gives,
Partial fractioning gives,
Taking the inverse transform gives us the first solution,
Now to find the second solution we could go back up and eliminate to find the transform for and sometimes we would need to do that. However, in this case notice that the second differential equation is,
So, plugging the first solution in and integrating gives,
Now, reapplying the second initial condition to get the constant of integration gives
The second solution is then,
So, putting all this together gives the solution to the system as,
Compared to the last section the work here wasn’t too bad. That won’t always be the case of course, but you can see that using Laplace transforms to solve systems isn’t too bad in at least some cases.
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