Asymptotic behavior of coefficients

In summary, the eigenvalue problem of the Schroedinger equation can be solved using various methods. One such method is the continued fraction method, which involves representing the solution of the differential equation as a power series and using a three term recurrence relation to obtain the asymptotic behavior of the coefficients. However, this method only works in special cases and may not be applicable to all problems. For a more detailed explanation and steps for finding the asymptotic expansion, one can refer to the paper "Asymptotic expansions for second order linear difference equations" by R. Wong and H. Li.
  • #1
intervoxel
195
1
The eigenvalue problem of Schroedinger equation can be solved in a variety of ways. The continued fraction method can be stated by the following recipe:

- represent the solution of the D.E. as a power series

- replace back this solution into the D.E.

- obtain a three term recurrence relation by aligning its indices;

- obtain the asymptotic behavior of the two coefficients -- the general asymptotic behavior is a combination of these terms

- check if the limit of the ratio of these coefficients as n tends to infinity is zero

- case positive, the solution used in the numerator is the minimal solution

- the quantization condition is given by c_1(lambda)=0;

- calculate the modulus of the ratio between successive terms of these solutions

- check the series convergence using these values (make a series expansion if necessary);

- if it converges then we can invoke Pincherle's theorem to create a continued fraction expansion and thereby a transcendental equation for finding the eigenvalues.

My question is:

Given the difference equation

[tex]
a_{n+2}+A_n(\lambda)a_{n+1}+B_n(\lambda)a_n=0
[/tex]

where

[tex]
A_n(\lambda)=-\frac{(n+1)(2\delta+\epsilon+3(n+\gamma))+Q}{s(n+2)(n+1+\gamma)}
[/tex]

and

[tex]
B_n(\lambda)=\frac{(n+\alpha)(n+\beta)}{2(n+2)(n+1+\gamma)}
[/tex]

I know (see http://arxiv.org/abs/hep-th/0207133v2) that the asymptotic behavior of the coefficients is given by

[tex]
a_n^{(1)}\sim 2^{-n}n^{-1-\lambda/2}\sum_{s=0}^{\infty}\frac{c_s^{(1)}}{n^s}
[/tex]

and

[tex]
a_n^{(2)}\sim n^{-3}\sum_{s=0}^{\infty}\frac{c_s^{(2)}}{n^s}
[/tex]I have to do the a similar calculation in my research project but I couldn't find out the procedure used to calculate the asymptotic expansion above. Please, can someone show me the steps to such a solution?

I tried to follow the text by Saber Elaydi, An Introduction to Difference Equations without success.
 
Last edited:
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  • #2
Oh, come on. Could anyone at least cite a good book about this subject, please?
 
  • #3
intervoxel said:
- obtain a three term recurrence relation by aligning its indices;
You only get a 3-term relation in very special cases, such as the harmonic oscillator and the hydrogen atom. So, for most problems, this method doesn't work.

Did you try the reference cited in the hepth paper you mention?

R. Wong and H. Li, “Asymptotic expansions for second order linear difference equations”, J. Comput. Appl. Math. 41 (1992) 65.
 

FAQ: Asymptotic behavior of coefficients

What is the definition of asymptotic behavior of coefficients?

The asymptotic behavior of coefficients refers to the long-term or ultimate behavior of the coefficients in a mathematical expression or equation. It describes how the coefficients change as the independent variable approaches a certain value, typically infinity.

Why is understanding asymptotic behavior important in scientific research?

Understanding the asymptotic behavior of coefficients can help scientists make predictions about the behavior of a system or process in the long-term. It can also provide insights into the underlying mechanisms or relationships within a system.

What are some common methods for analyzing asymptotic behavior of coefficients?

Some common methods for analyzing asymptotic behavior include using limit notation, studying the growth rates of coefficients, and performing asymptotic analysis using techniques such as Big O notation.

How does the asymptotic behavior of coefficients relate to the overall behavior of a mathematical expression?

The asymptotic behavior of coefficients can provide information about the overall behavior of a mathematical expression. For example, if the coefficients approach a constant value as the independent variable increases, the overall behavior may also approach a constant value.

Are there any practical applications of understanding asymptotic behavior of coefficients?

Yes, there are many practical applications of understanding asymptotic behavior. For example, it can be applied in fields such as physics, engineering, and economics to model and predict the behavior of systems or processes in the long-term. It can also be used in data analysis and algorithm design to optimize performance and efficiency.

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