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Home / Differential Equations / First Order DE's
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I apologize for the outage on the site yesterday and today. Lamar University is in Beaumont Texas and Hurricane Laura came through here and caused a brief power outage at Lamar. Things should be up and running at this point and (hopefully) will stay that way, at least until the next hurricane comes through here which seems to happen about once every 10-15 years. Note that I wouldn't be too suprised if there are brief outages over the next couple of days as they work to get everything back up and running properly. I apologize for the inconvienence.

Paul
August 27, 2020

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## Chapter 2 : First Order Differential Equations

In this chapter we will look at solving first order differential equations. The most general first order differential equation can be written as,

$$$\frac{{dy}}{{dt}} = f\left( {y,t} \right) \label{eq:eq1}$$$

As we will see in this chapter there is no general formula for the solution to $$\eqref{eq:eq1}$$. What we will do instead is look at several special cases and see how to solve those. We will also look at some of the theory behind first order differential equations as well as some applications of first order differential equations. Below is a list of the topics discussed in this chapter.

Linear Equations – In this section we solve linear first order differential equations, i.e. differential equations in the form $$y' + p(t) y = g(t)$$. We give an in depth overview of the process used to solve this type of differential equation as well as a derivation of the formula needed for the integrating factor used in the solution process.

Separable Equations – In this section we solve separable first order differential equations, i.e. differential equations in the form $$N(y) y' = M(x)$$. We will give a derivation of the solution process to this type of differential equation. We’ll also start looking at finding the interval of validity for the solution to a differential equation.

Exact Equations – In this section we will discuss identifying and solving exact differential equations. We will develop of a test that can be used to identify exact differential equations and give a detailed explanation of the solution process. We will also do a few more interval of validity problems here as well.

Bernoulli Differential Equations – In this section we solve Bernoulli differential equations, i.e. differential equations in the form $$y' + p(t) y = y^{n}$$. This section will also introduce the idea of using a substitution to help us solve differential equations.

Substitutions – In this section we’ll pick up where the last section left off and take a look at a couple of other substitutions that can be used to solve some differential equations. In particular we will discuss using solutions to solve differential equations of the form $$y' = F(\frac{y}{x})$$ and $$y' = G(ax + by)$$.

Intervals of Validity – In this section we will give an in depth look at intervals of validity as well as an answer to the existence and uniqueness question for first order differential equations.

Modeling with First Order Differential Equations – In this section we will use first order differential equations to model physical situations. In particular we will look at mixing problems (modeling the amount of a substance dissolved in a liquid and liquid both enters and exits), population problems (modeling a population under a variety of situations in which the population can enter or exit) and falling objects (modeling the velocity of a falling object under the influence of both gravity and air resistance).

Equilibrium Solutions – In this section we will define equilibrium solutions (or equilibrium points) for autonomous differential equations, $$y' = f(y)$$. We discuss classifying equilibrium solutions as asymptotically stable, unstable or semi-stable equilibrium solutions.

Euler’s Method – In this section we’ll take a brief look at a fairly simple method for approximating solutions to differential equations. We derive the formulas used by Euler’s Method and give a brief discussion of the errors in the approximations of the solutions.