Eigenfunction spatial comoponent

In summary, the given equation has solutions of the form $\varphi(x) = A\cosh\beta x + B\sinh\beta x + C\cos\beta x + D\sin\beta x$, where $\beta$ is a solution to the equation $m^4 - \beta^4 = 0$. Using the boundary conditions, we can solve for the values of $A$, $B$, $C$, and $D$, and we will have a non-trivial solution when $\cos\beta L\sinh\beta L - \sin\beta L\cosh\beta L = 0$. This leads to the spatial eigenfunctions $X_n(x)\sim\sin\alpha
  • #1
Dustinsfl
2,281
5
$$
\varphi\psi'' = -c^2\varphi^{(4)}\psi\Rightarrow \frac{\psi''}{c^2\psi} = -\frac{\varphi^{(4)}}{\varphi} = -\beta^4.
$$
The spatial component is $\varphi^{(4)} - \beta^4\varphi = 0$. It is obvious that $\pm\beta$ are solutions to $m^4 - \beta^4 = 0$. That is, $(m - \beta)(m + \beta)(m^2 + \beta^2) = 0$. Thus, the finally two solutions are $m = \pm i\beta$.
$$
\varphi(x) = Ae^{\beta x} + Be^{-\beta x} + C\cos\beta x + D\sin\beta x
$$
which can be re-written as
$$
\varphi(x) = A\cosh\beta x + B\sinh\beta x + C\cos\beta x + D\sin\beta x.
$$
Using the boundary conditions, we have
$$
\varphi(0) = A + C = 0
$$
or $A = -C$.
$$
\varphi(x) = -C\cosh\beta x + B\sinh\beta x + C\cos\beta x + D\sin\beta x
$$
and
$$
\varphi'(0) = B\beta + D\beta = 0
$$
or $B = -D$.
So
$$
\varphi(x) = -C\cosh\beta x - D\sinh\beta x + C\cos\beta x + D\sin\beta x.
$$
For the remaining two boundary conditions, we have
$$
\varphi(L) = -C\cosh\beta L - D\sinh\beta L + C\cos\beta L + D\sin\beta L = 0.
$$
and
$$
\varphi''(L) = -C\beta^2\cosh\beta L - D\beta^2\sinh\beta L - C\beta^2\cos\beta L - D\beta^2\sin\beta L = 0.
$$
We can re-write the last boundary conditions in matrix form as
$$
\underbrace{\begin{pmatrix}
\cos\beta L - \cosh\beta L & \sin\beta L - \sinh\beta L\\
-\cos\beta L - \cosh\beta L & -\sin\beta L - \sinh\beta L
\end{pmatrix}}_{\text{matrix } A}
\begin{pmatrix}
C\\
D
\end{pmatrix} =
\begin{pmatrix}
0\\
0
\end{pmatrix}
$$
We will have a non trivial solution when the determinant of the matrix is 0.
\begin{alignat*}{3}
\det A & = & (\cos\beta L - \cosh\beta L)(-\sin\beta L - \sinh\beta L) - (-\cos\beta L - \cosh\beta L)(\sin\beta L - \sinh\beta L)\\
& = & -\cos\beta L\sin\beta L - \cos\beta L\sinh\beta L + \sin\beta L\cosh\beta L + \cosh\beta L\sinh\beta L\\
& & + \cos\beta L\sin\beta L - \cos\beta L\sinh\beta L + \sin\beta L\cosh\beta L - \cosh\beta L\sinh\beta L\\
& = & -2\cos\beta L\sinh\beta L + 2\sin\beta L\cosh\beta L\\
& = & \cos\beta L\sinh\beta L - \sin\beta L\cosh\beta L
\end{alignat*}
That is, $\cos\beta L\sinh\beta L - \sin\beta L\cosh\beta L = 0$ for there to be a unique solution.
How do I the part below from the above?
Shown that the spatial eigenfunctions for these boundary conditions are given by
$$
X_n(x)\sim\sin\alpha_nx - \sinh\alpha_nx - \frac{\sin\alpha_nL - \sinh\alpha_nL}{\cos\alpha_nL - \cosh\alpha_nL}(\cos\alpha_nx - \cosh\alpha_nx)
$$
 
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  • #2

where $\alpha_n = \frac{\beta_n}{c}$ and $\beta_n$ is the $n$th root of $\cos\beta L\sinh\beta L - \sin\beta L\cosh\beta L = 0$

We can rewrite the determinant as $\cos\beta L\sinh\beta L - \sin\beta L\cosh\beta L = -\sin\beta L(\cosh\beta L + \cos\beta L)$ and by using the half angle formula for $\sin\beta L$, we get:
$$\sin\beta L = \pm \sqrt{\frac{1-\cos\beta L}{2}}$$
which we can substitute back into the determinant:
$$\sin\beta L(\cosh\beta L + \cos\beta L) = \pm \sqrt{\frac{1-\cos\beta L}{2}}(\cosh\beta L + \cos\beta L)$$
And since we know that the determinant is equal to zero, we can solve for the cosine term:
$$\cosh\beta L + \cos\beta L = 0$$
$$\cos\beta L = -\cosh\beta L$$
$$\beta L = \arccos(-\cosh\beta L)$$
Finally, we can substitute $\beta_n$ for $\beta$ and divide both sides by $c$ to get $\alpha_n$:
$$\alpha_n = \frac{\beta_n}{c} = \frac{\arccos(-\cosh\beta_n L)}{c}$$
which gives us the desired expression for $\alpha_n$.
Substituting this into the expression for $X_n(x)$, we get:
$$X_n(x)\sim\sin\alpha_nx - \sinh\alpha_nx - \frac{\sin\alpha_nL - \sinh\alpha_nL}{\cos\alpha_nL - \cosh\alpha_nL}(\cos\alpha_nx - \cosh\alpha_nx)$$
which is the desired spatial eigenfunction.
 

FAQ: Eigenfunction spatial comoponent

What is an eigenfunction spatial component?

An eigenfunction spatial component is a mathematical concept used in quantum mechanics to represent the spatial distribution of a wave function. It is a function that satisfies a specific equation and is used to describe the probability of finding a particle at a certain location in space.

How is an eigenfunction spatial component different from a regular wave function?

An eigenfunction spatial component is a specific type of wave function that satisfies a specific equation, while a regular wave function can take on any form. Eigenfunction spatial components are also used to represent the spatial distribution of a wave function, while regular wave functions can represent other properties of a particle, such as momentum.

What is the physical significance of an eigenfunction spatial component?

An eigenfunction spatial component represents the probability of finding a particle at a specific location in space. It can also provide information about the spatial properties of the particle, such as its energy and momentum.

How are eigenfunction spatial components used in quantum mechanics?

Eigenfunction spatial components are used in quantum mechanics to represent the spatial distribution of a wave function and to calculate the probability of a particle being in a certain location. They are also used to solve the Schrödinger equation and determine the energy levels of a system.

Can eigenfunction spatial components be observed or measured?

No, eigenfunction spatial components are mathematical concepts and cannot be directly observed or measured. They are used to make predictions about the behavior of particles in quantum systems, but cannot be directly observed in experiments.

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