An example regarding asymptotic expansion

In summary, the conversation discussed the topic of asymptotic expansion and its relation to differential equations. The participants asked questions about how to come up with asymptotic relations for a function and why an exp(-x/epsilon) term appears in one of the relations. They also discussed the use of Taylor series and the validity of ignoring the exp(-x/epsilon) term. The conversation also touched on the order of the residue in different expansions and the importance of considering the variable X=x/\epsilon near zero. Overall, the conversation provided insights into the concept of asymptotic expansion and its applications.
  • #1
hanson
319
0
Hi all.
This is not strictly a question on differential equation but I think the topic asymptotic expansion is too closely related to D.E. and I think those experts in D.E. would help with my simple question here.

Please refer to the attached figure. I would like to know how one could come up with the asymptotic relations (1.89) to (1.91) for the function?
Is that we use the Taylor series to expand the function in power of epsilon with ingoring the exp(-x/epsilon) term completely?

And why an exp(-x/epsilon) term suddenly appear in relation (1.91)? This term is not come from any kind of expansion but just that the author wants to tell that exp(-x/epsilon) term is too small and it can be added anywhere without loss of the asymptoticity?

And when the domain becomes 0<=x<=2, ignoring exp(-x/epsilon) is no longer valid?

Are these the author want to tell?
 

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  • #2
First of all, asymptotic expansions aren't unique. They are defined in terms of functions, i.e., you can expand a function in terms of monomials [itex]x^\alpha[/itex] or in powers of logarithms [itex]\log^\alpha x[/itex]. The therms of the expansion are defined as limits. For further reference check Holme's book on perturbation theory or the classical book of Kevorkian & Cole.

Taking this in mind, what happens if you expand [itex]e^{-x/\epsilon}[/itex] to second order and then do a Taylor expansion? of what order is the residue?

What happens if you expand to third order? order of the residue?

What happens... n order?

That should answer your first question. Now, the assumption [itex]x=O(1)[/itex] means that [itex]x[/itex] and [itex]\epsilon[/itex] are not of the same order, so the products [itex]\epsilon^\alpha x^\alpha=O(\epsilon^\alpha)O(1)=O(\epsilon^\alpha)[/itex]. This supposition is valid as long as [itex]x[/itex] is not near zero, because if it is, then [itex]x[/itex] is of order [itex]O(\epsilon)[/itex] (or some function of [itex]\epsilon[/itex] that tends to zero as [itex]\epsilon[/itex] does), and your approximation is no longer valid. Thats why you must take the new variable [itex]X=x/\epsilon[/itex], which is of order [itex]O(1)[/itex] near zero (or one accordingly).

What can we conclude? That the approximation is not the same near zero than away form it. Near zero, the approx is [itex]f(x/\epsilon)[/itex], while away from it is [itex]f(x)[/itex].

Question: How do i paste these two smoothly? For the answer check the references above.
 
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  • #3


Hi there,

Thank you for your question. Asymptotic expansion is indeed closely related to differential equations, as it is a powerful tool for approximating solutions to differential equations in certain regimes.

To answer your first question, yes, one way to obtain the asymptotic relations (1.89) to (1.91) is by using Taylor series expansion. Specifically, the function in question can be expanded in powers of the small parameter epsilon, with the exp(-x/epsilon) term being ignored. This is because in the regime where epsilon is small, this term becomes negligible compared to the other terms in the expansion.

Regarding your second question, the appearance of the exp(-x/epsilon) term in relation (1.91) is not a result of any specific expansion, but rather a way to indicate that this term is indeed small and can be added anywhere without affecting the overall asymptotic behavior of the function.

Finally, you are correct that when the domain becomes 0<=x<=2, ignoring the exp(-x/epsilon) term is no longer valid. This is because in this regime, the exp(-x/epsilon) term becomes significant and cannot be ignored.

I hope this helps clarify the concept of asymptotic expansion for you. Keep in mind that there are other methods for obtaining asymptotic relations, such as the method of dominant balance, and these may be used in different situations. If you have any further questions, please don't hesitate to ask.
 

1. What is an asymptotic expansion?

An asymptotic expansion is a mathematical technique used to approximate the behavior of a function as its variable approaches a certain value, typically infinity or zero. It involves expressing the function as a sum of simpler terms, with each term becoming less and less significant as the value of the variable increases or decreases.

2. How is an asymptotic expansion different from a Taylor series?

An asymptotic expansion is a generalization of the Taylor series, which is a way to represent a function as a sum of powers of its variable. However, a Taylor series is only valid for a finite region around a specific point, while an asymptotic expansion can extend to infinity or zero.

3. What is the purpose of using asymptotic expansions?

Asymptotic expansions are useful in situations where the full expression of a function is too complex to work with, but an approximation is sufficient. They are commonly used in physics, engineering, and other fields to simplify calculations and provide insights into the behavior of a system.

4. Can an asymptotic expansion be used to find the exact value of a function?

No, an asymptotic expansion only provides an approximation of a function's behavior as its variable approaches a certain value. It cannot be used to find the exact value of a function, but it can give a good estimate for large or small values of the variable.

5. How do you determine the accuracy of an asymptotic expansion?

The accuracy of an asymptotic expansion depends on the number of terms included in the expansion. Generally, the more terms included, the more accurate the approximation will be. However, the accuracy also depends on the specific function and the behavior of its variable. It is important to check the validity of an asymptotic expansion through mathematical analysis or numerical methods.

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