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DifferentialEquationsLecture2

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@@ -145,7 +145,124 @@ which form the basis are given as
$$f(x) = e^{\lambda_1 x}, \ x e^{\lambda_1 x} , \ \cdots, \ x^{m_{1}-1} e^{\lambda_1 x}, \ etc.$$
---ADD PROOF HERE---
!!! check "Example: Second order homogeneous linear DE with constant coefficients"
Consider the equation
$$y'' + Ey = 0.$$
Let us reduce this second order equation to a system of two first order
equations. Define
$$y_1=y$$
$$y_2=y'.$$
Writing $**y**= \begin{bmatrix}
y_1 \\
y_2 \\
\end{bmatrix}$, the DE can be written,
$$\dot{**y**} = \begin{bmatrix}
y_2 \\
-E y_1 \\
\end{bmatrix}$$
$$\dot{**y**} = \begin{bmatrix}
0 & 1 \\
-E & 0 \\
\end{bmatrix} \begin{bmatrix}
y_1 \\
y_2 \\
\end{bmatrix}.$$
The characteristic polynomial of this equation is
$$P(\lambda) = \lambda^2 + E.$$
There are three cases for the possible solutions, depending upon the value
of E.
**Case 1: $E>0$**
For ease of notation, define $E=k^2$ for some constant $k$. The
characteristic polynomial can then be factored as
$$P(\lambda) = (\lambda+ i k)(\lambda - i k). $$
Following our formulation for the solution, the two basis functions for the
solution space are
$$f_1(x) = e^{i k x}, \ f_2=e^{- i k x}.$$
Alternatively, the trigonometric functions can serve as basis functions,
since they are linear combinations of $f_1$ and $f_2$ which remain linearly
independent,
$$\Tilde{f_1}(x)=cos(kx), \ \Tilde{f_2}(x)=sin{kx}.$$
**Case 2: $E<0$**
This time, define $E=-k^2$, for constant $k$. The characteristic polynomial
can then be factored as
$$P(\lambda) = (\lambda+ k)(\lambda - k).$$
The two basis functions for this solution are then
$$f_1(x)=e^{k x}, \ f_2(x) = e^{-k x}.$$
**Case 3: $E=0$**
In this case, there is a repeated eigenvalue (equal to $0$), since the
characteristic polynomial reads
$$P(\lambda) = (\lambda-0)^2.$$
Hence the basis functions for the solution space read
$$f_1(x)=e^{0 x} = 1, \ f_{2}(x) = x e^{0 x} = x. $$
# Partial differential equations
A partial differential equation (PDE) is an equation involving a function of two or
more indepenedent variables and derivatives of said function. These equations
are classified similarly to ordinary differential equations (the subject of
our earlier study). For example, they are called linear if no terms such as
$$\frac{\partial y(x,t)}{\partial x} \cdot \frac{d y(x,t)}{\partial t} \ or $$
$$\frac{\partial^2 y(x,t)}{\partial x^2} y(x,t)$$
occur. A PDE can be classified as $n$-th order accorind to the highest
derivative order of either variable occuring in the equation. For example, the
equation
$$\frac{\partial^3 f(x,y)}{\partial x^3} + \frac{\partial f(x,t)}{\partial t} = 5$$
is a $3$-rd order equation because of the third derivative with respect to x
in the equation.
To begin, we demonstrate that PDE's are of fundamental importance in physics,
especially in quantum physics. In particular, the Schr\"{o}dinger equation,
which is of central importance in quantum physics is a partial differential
equation with respect to time and space. This equation is very important
because it describes the evolution in time and space of the entire description
of a quantum system $\psi(x,t)$, which is known as the wavefunction.
For a free particle in one dimension, the Schr\"{o}dinger equation is
$$i \hbar \frac{\partial \psi(x,t)}{\partial t} = - \frac{\hbar^2}{2m} \frac{\partial^2 \psi(x,t)}{\partial x^2}. $$
When we studied ODEs, an initial condition was necessary in order to fully
specify a solution. Similarly, in the study of PDEs an initial condition is
required but now boundary conditions are also required. Going back to the
intuitive discussion from the lecture on ODEs, each of these conditions is
necassary in order to specify an integration constant that occurs in solving
the equation. In partial differential equations at least one such constant will
arise from the time derivative and likewise at least one from the spatial
derivative.
For the Schr\"{o}dinger equation, we could supply the initial conditions
$$\psi(x,0)= \psi_{0}(x) \ & \ \psi(0,t) = \psi{t, L} = 0.$$
This particular set of boundary conditions corresponds to a particle in a box,
a basic situation which comes up often in quantum physics.
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