Asymptotic mathcing for a first order differential equation

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Discussion Overview

The discussion centers on the application of asymptotic matching techniques to a first-order differential equation, specifically examining the behavior of the solution as a parameter approaches zero. Participants explore the validity of approximations in different regions of the solution and the challenges faced in understanding the matching process.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant presents the differential equation and proposes an approximate equation for small values of the parameter, suggesting that the region of validity for the left solution is determined by the condition \( x \ll e^{-1/2} \) as \( e \) approaches zero.
  • Another participant challenges this view, indicating that the matching region is not solely determined by the approximations made but rather from the matching process itself, suggesting a different interval of matching.
  • They provide specific forms for the left and right solutions, indicating that both approximations share the same functional dependence under certain conditions, specifically for \( x \gg 1 \) and \( x \ll e^{-1/3} \).
  • A participant expresses gratitude for the insights and seeks recommendations for additional resources to better understand the material, indicating the complexity of the topic for undergraduate students.
  • Another participant notes that asymptotic methods are typically covered at the graduate level and shares their experience using these methods in fluid mechanics, mentioning the identification of small parameters for perturbation analysis.

Areas of Agreement / Disagreement

Participants express differing views on the determination of the matching region and the validity of approximations, indicating that multiple competing perspectives remain unresolved.

Contextual Notes

There are limitations in the assumptions made regarding the regions of validity for the solutions, and the discussion highlights the complexity of the mathematical techniques involved without resolving these uncertainties.

Who May Find This Useful

This discussion may be useful for students and researchers interested in asymptotic analysis, differential equations, and their applications in fields such as fluid mechanics and mathematical physics.

hanson
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The first-order differential equation
[tex]y' +(ex^2+1+1/x^2)y=0[/tex], with boudary value y(1) =1

Using, asymptotic mathcing to study the behaviour of the sltion as e tends to +0, when x is not too large, the term [tex]ex^2[/tex] is negligible so an approximate equation for y is
[tex]y'_L +(1+1/x^2)y_L=0[/tex].

When x is large, [ tex ]ex^2 [ /tex ] is not negligible but [tex]1/x^2[/tex] is. Therefore, an approximate equation valid as x tends to infinity is [tex]y'_R +(ex^2+1)y_R=0[/tex].

I think that te upper edge of the left region would be the largest value of x for which ex^2 is still small compared with 1. This would suggest that the left region consists of those x for which x<<e^-(1/2) as e tends to +0. But actually the region of validity of the left solution is e^(-1/3) (e tends to +0)...Can anyone explain this to me??

Sams as the right region...Please kindly help
 
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That's a nice quote of the example lying in Benders&Orszag book. It's a nice book, but sometimes is pretty tough to follow. And I remember this same question arised in class when we saw this example.

Actually the interval of matching for x seems diferent at leading order than that foresought by looking at the equation. The matching region is not given by the approximation you make on the terms of the equation but is given from the matching itself.

The left solution is [tex]y_L=e^{-x+1/x}+O(\epsilon)[/tex] which for large [tex]x[/tex] gives [tex]y_L\sim e^{-x}[1+1/x+O(1/x^2,\epsilon)][/tex].

On the other hand, the right solution is [tex]y_R=a e^{-\epsilon x^3/3-x}[/tex], which for small [tex]x[/tex] gives [tex]y_R\sim e^{-x}[1-\epsilon x^3/3+O(\epsilon^2 x^6)][/tex].

That is, for [tex]x>>1[/tex] AND [tex]x<<\epsilon ^{-1/3}[/tex] (look at the second term on the right solution expansion), then both approximations have the same functional dependence, i.e. [tex]y\sim e^{-x}[/tex] if [tex]a=1[/tex]. The uniform approximation to leading order is then [tex]y=y_R+y_L-e^{-x}[/tex].

Successive approximations will probably narrow the matching region.

I thought you were doing undergrad, this is a little advanced for it, isn't it?. Hope you are getting interest on this matter, a difficult one though. For me it sounds challenging, my thesis is all about this applied to Fluid Mechanics theory.
 
Clausius2! Thank you so much! I have waited for the answer to this question for long!

Yes..that book is pretty tough to follow...particularly for an undergraduate student like me, who is a bit crap in mathematics...

Is there any other books that you think may act as reference or some sort of help so that I can follow Bender a bit easier?
 
hanson said:
Clausius2! Thank you so much! I have waited for the answer to this question for long!

Yes..that book is pretty tough to follow...particularly for an undergraduate student like me, who is a bit crap in mathematics...

Is there any other books that you think may act as reference or some sort of help so that I can follow Bender a bit easier?

The answer is no as far as i know. I was taught based on that book, but it was a graduate level course. Asymptotic methods is something used typically in grad level, and I use it for working out approximate analytical solutions to moderately complex fluid flows. What one does is to identify a small parameter (Reynolds#, a ratio of dimensions, a ratio of times), called the perturbation parameter, and solve for a solution in series of that small parameter (an asymptotic series). I do know that for instance WKB method is also used widely in Quantum Mechanics.
 

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