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Differential Equations Lecture 1

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---
title: Differential Equations
---
# Differential equations
A differential equation or DE is any equation which involves both a function and some
derivative of that function. In this course we will be focusing on
*Ordinary Differential Equations*, meaning that our equations will involve
functions of one independent variable and hence any derivatives will be full
derivatives. Equations which involve a function of several independent variables
and their partial derivatives are handled in courses on
*Partial Differential Equations*.
We consider functions $x(t)$ and define $\dot{x}(t)=\frac{dx}{dt}$,
$x^{(n)}(t)=\frac{d^{n}x}{dt^{n}}$. An $n$*-th* order differential equation is
an equation of the form
$$x^{(n)}(t) = f(x^{(n-1)}(t), \cdots, x(t), t).$$
Typically, $n \leq 2$. Such an equation will usually be presented with a set of
initial conditions,
$$x^{(n-1)}(t_{0}) = x^{(n-1)}_{0}, \cdots, x(t_0)=x_0. $$
This is because to fully specify the solution to an $n$*-th* order differential
equation, $n-1$ initial conditions are necessary. To understand why we need
initial conditions, look at the following example.
!!! check "Example: Initial conditions"
Consider the following calculus problem,
$$\dot{f}(x)=x. $$
By integrating, one finds that the solution to this equation is
$$\frac{1}{2}x^2 + c,$$
where $c$ is an integration constant. In order to specify the integration
constant, an initial condition is needed. For instance, if we know that when
$x=2$ then $f(2)=4$, we can plug this into the equation to get
$$\frac{1}{2}*4 + c = 4, $$
which implies that $c=2$.
Essentially initial conditions are needed when solving differential equations so
that unknowns resulting from integration may be determined.
!!! info Terminology for Differential Equations
1. If a differential equation does not explicitly contain the
independent variable $t$, it is called an *autonomous equation*.
2. If the largest derivative in a differential equation is of first order,
i.e. $n=1$, then the equation is called a first order differential
equation.
3. Often you will see differential equation presented using $y(x)$
instead of $x(t)$. This is just a different nomenclature.
In this course we will be focusing on *Linear Differential Equations*, meaning
that we consider differential equations $x^{(n)}(t) = f(x^{(n-1)}(t), \cdots, x(t), t)$
where the function $f$ is a linear ploynomial function of the unknown function
$x(t)$. A simple way to spot a non-linear differential euation is to look for
non-linear terms, such as $x(t)*\dot{x}(t)$ or $x^{(n)}(t)*x^{(2)}(t)$.
Often, we will be dealing with several coupled differential equations. In this
situation we can write the entire system of differential equations as a vector
equation, involving a linear operator. For a system of $m$ equations, denote
$$**x(t)** = \begin{bmatrix}
x_1(t) \\
\vdots \\
x_{m}(t) \\
\end{bmatrix}.$$
A system of first order linear equations is then written as
$$\dot{**x(t)**} = **f**(**x(t)**,t) $$
with initial condition $**x(t_0)** = **x_0**$.
# Basic examples and strategies
The simplest type of differential equation is the type learned about in the
integration portion of a calculus course. Such equations have the form,
$$\dot{x}(t) = f(t). $$
When $F(t)$ is an anti-derivative of $f(t)$ i.e. $\dot{F}=f$, then the solutions
to this type of equation are
$$x(t) = F(t) + c. $$
!!! check "Example: First order linear differential equation with constant coefficients"
Given the equation
$$\dot{x}(t)=t, $$
one finds by integrating that the solution is $\frac{1}{2}t^2 + c$.
For first order linear differential equations, it is possible to use the
concept of an anti-derivative from calculus to write a general solution, in
terms of the independent varaible.
$$\dot{x}(t)=f(x(t)).$$
This implies that $\frac{\dot{x}(t)}{f(x)} = 1$. Let $F(x)$ be the
anti-derivative of $\frac{1}{f(x)}$. Then, making use of the chain rule
$$\frac{dot{x}(t)}{f(x(t))} = \frac{dx}{dt}} \cdot \frac{dF}{dx}} = \frac{dF}{dt} = 1$$
$$\Leftrightarrow F(x(t)) = t + c.$$
From this we notice that if we can solve for $x(t)$ then we have the
solution! Having a specific form for the function $f(x)$ can often makes it
possible to solve either implicitly or explicity for the function $x(t)$.
!!! check "Example: Autonomous first order linear differential equation with constant coefficients"
Given the equation
$$\dot{x} = \lambda x, $$
we re-write the equation to be in the form
$$\frac{\dot{x}}{\lambda x} = 1.$$
Now, applying the same process worked through above, let $f(x)=\lambda x$
and $F(x)$ be the anti-derivative of the $\frac{1}{f(x)}$. Integrating
allows us to find the form of this anti-derivative.
$$F(x):= \int \frac{dx}{\lambda x} = \frac{1}{\lambda}log{\lambda x} $$
Now, making use of the general solution we also have that $F(x(t)) =t+c$.
These two equations can be combined to form an equation for $x(t)$,
$$Log(\lambda x) = \lambda t + c$$
$$x(t) = \frac{1}{\lambda} e^c e^{\lambda t} $$
$$x(t) = c_0 e^{\lambda t}$$
where in the last line we defined a new constant $c_0 =\frac{1}{\lambda}e^c$.
Given an initial condition, we could immediately determine this constant $c_0$.
So far we have considered only DE's with constant coefficients, but it is very
common to encounter equations such as the following,
$$\dot{x}(t)=g(t)f(x(t)).$$
This type of differential equation is called a first order differential equation
with non-constant coefficients. If $f(x(t))$ is linear in $x$ then it is also
said to be a linear equation.
This equation can be re-written to isolate the coefficient function, g(t)
$$\frac{dot{x}(t)}{f(x(t))} = g(t). $$
Now, define $F(x)$ to be the anti-derivative of $\frac{1}{f(x)}$, and $G(t)$ to
be the anti-derivative of $g(t)$. Without showing again the use of chain rule on
the left side of the equation, we have
$$\frac{d}{dt} F(x(t)) = g(t) $$
$$\Rightarrow F(x(t)) = G(t) + c $$
Given this form of general solution, knowledge of specific functions $f, g$ would
make it possible to solve for $x(t)$.
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