Solving a DE: Finding Power Series Solutions about z = 0

In summary, the conversation discusses finding the power series solutions of a differential equation and using the indicial equation to determine the recurrence relation for the coefficients. The larger root of the indicial equation is chosen to obtain a solution, and the value of a_0 is an arbitrary selection.
  • #1
Benny
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Can someone please explain some steps of a worked example.

Q. Find the power series solutions about z = 0 of 4zy'' + 2y' + y = 0.

(note: y = y(z))

Writing the equation in standard form:

[tex]
y'' + \frac{1}{{2z}}y' + \frac{1}{{4z}}y = 0
[/tex]

Let [tex]y = z^\sigma \sum\limits_{n = 0}^\infty {a_n z^n }[/tex]

The indicial equation has roots zero and (1/2).

Using the substitution for y above the DE becomes:

[tex]
\sum\limits_{n = 0}^\infty {\left[ {\left( {n + \sigma } \right)\left( {n + \sigma - 1} \right) + \frac{1}{2}\left( {n + \sigma } \right) + \frac{1}{4}z} \right]} a_n z^n = 0
[/tex]...(1)

Demanding that the coefficients of z^n vanish separately in the above equation we obtain the recurrence relation:

[tex]
\left( {n + \sigma } \right)\left( {n + \sigma - 1} \right)a_n + \frac{1}{2}\left( {n + \sigma } \right)a_n + \frac{1}{4}a_{n - 1} = 0
[/tex]

What happened to the factor of z which was multiplied by (1/4) in (1)?

If we choose the larger root, 1/2, then the recurrence relation becomes [tex]a_n = \frac{{ - a_{n - 1} }}{{2n\left( {n + 1} \right)}}[/tex]

Setting a_0 = 1 we find...etc

I am told that the larger of the two roots of the indicial equation always leads to a solution. However, I don't understand why a_0 is set equal to one? Is that an arbitrary selection or is it convenient?

Any help would be good thanks.
 
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  • #2
Benny said:
[tex]\left( {n + \sigma } \right)\left( {n + \sigma - 1} \right)a_n + \frac{1}{2}\left( {n + \sigma } \right)a_n + \frac{1}{4}a_{n - 1} = 0[/tex]

What happened to the factor of z which was multiplied by (1/4) in (1)?
It's there, it's the [itex]\frac{1}{4}a_{n-1}[/itex]. Do you see why?
If we choose the larger root, 1/2, then the recurrence relation becomes

[tex]a_n = \frac{{ - a_{n - 1} }}{{2n\left( {n + 1} \right)}}[/tex]
I've never done problems like this before, but if you are getting this by substituting [itex]\sigma = \frac{1}{2}[/itex] into:

[tex]\left( {n + \sigma } \right)\left( {n + \sigma - 1} \right)a_n + \frac{1}{2}\left( {n + \sigma } \right)a_n + \frac{1}{4}a_{n - 1} = 0[/tex]

then you should get:

[tex]a_n = \frac{{ - a_{n - 1} }}{{2n\left( {\mathbf{2}n + 1} \right)}}[/tex]
Setting a_0 = 1 we find...etc

I am told that the larger of the two roots of the indicial equation always leads to a solution. However, I don't understand why a_0 is set equal to one? Is that an arbitrary selection or is it convenient?
Different choices of a0 will give different solutions, and you should indeed expect a family of solutions, not just one solution. Are there any given boundary conditions that might explain the choice of a0 = 1? If not, then perhaps it is just arbitrary/convenient/conventional, I don't know myself.
 
  • #3
There aren't any ICs or BCs in the example so a_0 = 1 might have been chosen simply to illustrate the solution method. Thansk for your help.
 

FAQ: Solving a DE: Finding Power Series Solutions about z = 0

What is a power series solution?

A power series solution is a mathematical technique used to approximate a function using a series of terms with increasing powers of a variable. It is often used to solve differential equations.

How do you find a power series solution about z = 0?

To find a power series solution about z = 0, the function must first be expanded into a series using the Maclaurin series. Then, the coefficients of the series can be found by taking derivatives of the function and evaluating them at z = 0.

What is the importance of solving a DE using power series?

A power series solution allows for a more accurate approximation of a function, especially for functions that are difficult to solve using traditional methods. It also allows for the calculation of an infinite number of terms, providing a more precise solution.

What are some applications of power series solutions in science?

Power series solutions are widely used in physics, engineering, and other scientific fields to solve differential equations that arise in various systems, such as circuits, mechanics, and thermodynamics. They are also used in signal processing and image reconstruction.

Are there any limitations to using power series solutions?

One limitation of power series solutions is that they only provide an approximation of the function, which may not be accurate for all values of the variable. Additionally, the convergence of the series may be limited, making it difficult to find a solution in some cases.

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