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Mathematics for Quantum Physics
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1d0244a1
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Scarlett Gauthier
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Add first page and first example of second page from first set of lecture notes on DE's.
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!8
Differential Equations Lecture 1
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@@ -7,12 +7,119 @@ title: Differential Equations
A differential equation 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 dependent variable and hence any derivatives will be full
derivatives. Equations which involve a function of several dependent variables
functions of one
in
dependent variable and hence any derivatives will be full
derivatives. Equations which involve a function of several
in
dependent variables
and their partial derivatives are handled in courses on
*Partial Differential Equations*
.
We consider functions $x(t)$ and define $
\d
ot{x}(t)=
\f
rac{dx}{dt}$, $x^{(n)}(t)=
\f
rac{d^{n}x}{dt^{n}}$
We consider functions $x(t)$ and define $
\d
ot{x}(t)=
\f
rac{dx}{dt}$,
$x^{(n)}(t)=
\f
rac{d^{n}x}{dt^{n}}$. An $n$
*-th*
order differential equation is
an equation of the form
$$x^{(n)}(t) = f(x^{(n-1)}(t),
\c
dots, x(t), t).$$
Typically, $n
\l
eq 2$. Such an equation will usually be presented with a set of
initial conditions,
$$x^{(n-1)}(t_{0}) = x^{(n-1)}_{0},
\c
dots, x(t_0)=x_0. $$
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,
$$
\d
ot{f}(x)=x. $$
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 $x^{(n)}(t) = f(x^{(n-1)}(t),
\c
dots, x(t), t)$
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
$$
**x(t)**
=
\b
egin{bmatrix}
x_1(t)
\\
\v
dots
\\
x_{m}(t)
\\
\e
nd{bmatrix}.$$
A system of first order linear equations is then written as
$$
\d
ot{
**x(t)**
} =
**f**
(
**x(t)**
,t) $$
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,
$$
\d
ot{x}(t) = f(t). $$
When $F(t)$ is an anti-derivative of $f(t)$ i.e. $
\d
ot{F}=f$, then the solutions
to this type of equation are
$$x(t) = F(t) + c. $$
!!! check "Example: Differential equations from calculus"
Given the equation
$$
\d
ot{x}(t)=t, $$
one finds by integrating that the solution is $
\f
rac{1}{2}t^2 + c$. But we
can also re-write this equation in the form we have been discussing,
$$
\d
ot{x}(t)=f(x(t)).$$
This implies that $
\f
rac{f(x(t))}{
\d
ot{x}(t)} = 1$. Let $F(x)$ be the
anti-derivative of $f(x)$. Then, making use of the chain rule
$$
\f
rac{f(x)}{dot{x}(t)} =
\f
rac{
\f
rac{dF}{dx}}{
\f
rac{dx}{dt}} =
\f
rac{d}{dt}F(x(t)) = 1$$
$$
\L
eftrightarrow F(x(t)) = t + c.$$
From this we notice that if we can solve for $x(t)$ then we have the
solution!
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