Solving Homogeneous System $R(r)=A_m\mathcal{J}_m(kr)+B_m\mathcal{Y}_m(kr)$

In summary: J}_m(kr) - \frac{\mathcal{J}_m(ka)}{\mathcal{Y}_m(ka)}\mathcal{Y}_m(kr)\right]$$In summary, we can obtain the expression $R(r) = A_m\left[\mathcal{J}_m(kr)-\frac{\mathcal{J}_m(ka)}{\mathcal{Y}_m(ka)} \mathcal{Y}_m(kr)\right]$ by using the eigenvalue equation and the fact that the determinant of the matrix in the given equation is equal to 0. This allows us to simplify the expression and eliminate the term involving $\mathcal{Y}_m(kr
  • #1
Dustinsfl
2,281
5
$R(r) = A_m\mathcal{J}_m(kr) + B_m\mathcal{Y}_m(kr)$
$$
\begin{pmatrix}
\mathcal{J}_m(ka) & \mathcal{Y}_m(ka)\\
\mathcal{J}_m(kb) & \mathcal{Y}_m(kb)
\end{pmatrix}
\begin{pmatrix}
A_{m}\\
B_{m}
\end{pmatrix} =
\begin{pmatrix}
0\\
0
\end{pmatrix}
$$
In order for our system to have a non-trivial solution, we require that the determinant be 0.
Therefore,
$$
\mathcal{J}_m(ka)\mathcal{Y}_m(kb) - \mathcal{J}_m(kb)\mathcal{Y}_m(ka) = 0
$$
which is our eigenvalue equation.

How do I get to this now:
$$
R(r) = A_m\left[\mathcal{J}_m(kr)-\frac{\mathcal{J}_m(ka)}{\mathcal{Y}_m(ka)} \mathcal{Y}_m(kr)\right]
$$
 
Last edited:
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  • #2


To get to this expression, you can use the fact that the determinant of the matrix in the given equation is equal to 0. This means that either $\mathcal{J}_m(ka) = 0$ or $\mathcal{Y}_m(kb) = 0$.

Assuming $\mathcal{J}_m(ka) = 0$, we can substitute this into the eigenvalue equation to get:
$$
\mathcal{J}_m(ka)\mathcal{Y}_m(kb) - \mathcal{J}_m(kb)\mathcal{Y}_m(ka) = 0 \\
0 - \mathcal{J}_m(kb)\mathcal{Y}_m(ka) = 0 \\
\mathcal{Y}_m(ka) = 0
$$
Thus, $\mathcal{Y}_m(ka)$ must be equal to 0 for the determinant to be 0. This means that we can write our solution as:
$$
R(r) = A_m\mathcal{J}_m(kr) + B_m\mathcal{Y}_m(kr) = A_m\mathcal{J}_m(kr)
$$
since $\mathcal{Y}_m(kr)$ is 0.

Next, we can use the fact that $\mathcal{J}_m(ka) = 0$ to simplify our expression further. We can write $\mathcal{J}_m(kr)$ as:
$$
\mathcal{J}_m(kr) = \mathcal{J}_m(kr) - \mathcal{J}_m(ka) + \mathcal{J}_m(ka)
$$
We can then substitute this into our expression for $R(r)$ to get:
$$
R(r) = A_m\left[\mathcal{J}_m(kr) - \mathcal{J}_m(ka) + \mathcal{J}_m(ka)\right] = A_m\left[\mathcal{J}_m(kr) - \mathcal{J}_m(ka)\right]
$$
Finally, we can use the fact that $\mathcal{Y}_m(ka) = 0$ to simplify further and get the desired expression:
$$
R(r) = A_m\left[\mathcal{
 

FAQ: Solving Homogeneous System $R(r)=A_m\mathcal{J}_m(kr)+B_m\mathcal{Y}_m(kr)$

What is a homogeneous system?

A homogeneous system is a system of linear equations where all the constants are equal to zero. This means that the equations have no independent term and the only solutions are the trivial ones.

What is the meaning of the variables in the equation?

The variable r represents the distance from the origin, while k is a constant that determines the frequency of the solution. The variables A_m and B_m are the coefficients of the Bessel functions, which are used to solve the equation.

How do you solve a homogeneous system using Bessel functions?

To solve a homogeneous system, we use the Bessel functions $\mathcal{J}_m(kr)$ and $\mathcal{Y}_m(kr)$, which are solutions to the Bessel's differential equation. We plug these functions into the equation and solve for the coefficients A_m and B_m by applying boundary conditions.

What are the applications of solving homogeneous systems using Bessel functions?

Solving homogeneous systems using Bessel functions has many applications in physics and engineering. It is commonly used in solving problems related to heat transfer, wave propagation, and diffusion.

Are there any limitations to using Bessel functions to solve homogeneous systems?

One limitation of using Bessel functions is that they can only be used for circular or cylindrical symmetry problems. Additionally, the solutions may only be valid for a certain range of values for the variables r and k, depending on the specific problem at hand.

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