We describe numerical and graphical methods for understanding differential equations.

Slope fields

We cannot (yet!) solve the differential equation However, from the equation alone, we can describe some facts about the solution.

Consider the solution to the differential equation which passes through the point . Is increasing or decreasing at ?
increasing decreasing
By definition, a solution to this differential equation which passes through must have , and This is positive, so the function is increasing at .
In fact, we can say more. The differential equation tells us the slope of any solution passing through a given point.
Consider the solution to the differential equation which passes through the point . What is the slope of the solution at
By definition, a solution to this differential equation which passes through must have , and Hence the slope is at .
The slope of at is .

Given a differential equation, say , we can pick points in the plane and compute what the slope of a solution at those points will be. Repeating this process, we can generate a slope field. The slope field for the differential equation looks like this:

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Let’s be explicit:

Here is the slope field for the differential equation , with a few solutions of the differential equation also graphed.

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Notice that the slope field suggests one solution to this differential equation, which is a straight line.
Of the solutions shown in the slope field above, what is the formula for the linear solution?

Autonomous differential equations

Consider the following differential equations

The first differential equation, , is rather easy to solve, we simply integrate both sides. This type of differential equation is called a pure-time differential equation. Pure-time differential equations express the derivative of the solution explicitly as a function of an independent variable. We can symbolically describe a pure-time differential equation as

On the other hand, the second differential equation, does not involve the independent variable, , at all! Such differential equations are called autonomous differential equations.

Finally the third differential equation, , expresses as a function of both and the independent variable . Such a differential equation is called a nonautonomous differential equation. We can symbolically describe a nonautonomous differential equation as

Which of the following are autonomous differential equations?

Since autonomous differential equations only depend on the function’s value their behavior does not depend on the independent variable,

Which of the five slope fields shown are for autonomous differential equations?
PIC PIC PIC PIC PIC
If a differential equation is autonomous, then all of the slopes will be the same on each horizontal line.
Which of the five slope fields shown are for pure-time differential equations?
PIC PIC PIC PIC PIC
If a differential equation is pure-time, then all of the slopes will be the same on each vertical line.
Which of the five slope fields shown are for differential equations that are neither autonomous nor pure-time?
PIC PIC PIC PIC PIC
If a differential equation is neither autonomous nor pure-time, then the slope will change along horizontal lines and vertical lines.
Consider the differential equation , whose slope field is given below. Which of the following statements appear to be true?
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The solution passing through the origin has . The solution passing through has . The solution passing through is always decreasing. There are two solutions which are constant functions. Every solution has a vertical tangent line at .

Consider the autonomous differential equation: The constant functions and are solutions to this differential equation. In fact, for any autonomous differential equation , where is a function of , if for any constant , then will be a constant solution to the differential equation. These constant solutions are also known as equilibrium solutions. We can witness these solutions if we inspect the slope field:

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Consider the autonomous differential equation . Which of the following are equilibrium solutions?
Consider the slope field of :
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Finally, let’s work an example problem:

Euler’s Method

In science and mathematics, finding exact solutions to differential equations is not always possible. We have already seen that slope fields give us a powerful way to understand the qualitative features of solutions. Sometimes we need a more precise quantitative understanding, meaning we would like numerical approximations of the solutions.

Again, suppose you have set up the following differential equation If we know that solves this differential equation, and , how might we go about approximating ? One idea is to repeatedly use linear approximation.

Let us approximate just using the two subintervals Since , we know that by linear approximation.

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But now, we have so
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Plotting our approximation with the actual solution we find:
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This approximation could be improved by using more subintervals. We will now formalize the method of using repeated linear approximation to approximate solutions to differential equations, and call it Euler’s Method.

Let’s try an example.