Fractional power equation. Solution domain.

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Discussion Overview

The discussion revolves around solving the equation \(\sqrt{x^2-y^2}+\sqrt{\epsilon x^2-y^2} = \beta\) for \(x\), under the conditions \(y>0\), \(\epsilon>1\), and \(\beta \in \mathbb{C}\). Participants explore the solution domain and the conditions under which solutions exist, as well as the implications of varying parameters.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant presents a general form of the solutions for \(x\) and notes that numerical tests yield valid solutions for certain parameter ranges, particularly when \(|\beta|\) is large.
  • Another participant suggests that if \(|\beta|\) is approximately zero, it leads to a simplification where \(x^2[1 - \epsilon] \approx 0\), indicating potential issues when \(\epsilon\) deviates significantly from 1.
  • Some participants express interest in obtaining quantitative, analytical statements regarding the solution domain and the constraints imposed by \(\epsilon\) and \(\beta\>.
  • There is a suggestion to analyze the solution space by considering the lower and upper bounds of \(\beta\) and \(\epsilon\), and how these affect the values of \(x\) and \(y\).

Areas of Agreement / Disagreement

Participants generally agree on the complexity introduced by varying \(\epsilon\) and the need to understand the constraints on the parameters. However, there is no consensus on a definitive analytical expression for the solution domain or the conditions under which solutions exist.

Contextual Notes

Participants note that the analysis depends heavily on the specific values of \(\epsilon\) and \(\beta\), and that solutions may become nonsensical if these parameters lead to values outside established constraints.

Who May Find This Useful

This discussion may be useful for those interested in mathematical modeling, particularly in contexts involving complex equations and parameter constraints in physics or engineering applications.

Final ansatz
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Hi everyone,

I'm currently looking to solve an equation of the general form: [itex]\sqrt{x^2-y^2}+\sqrt{\epsilon x^2-y^2} = \beta[/itex]. I'm interested in solving this equation for [itex]x[/itex] assuming [itex]y>0[/itex], [itex]\epsilon>1[/itex] and [itex]\beta \in \mathbb{C}[/itex]. By squaring the equation twice I can find four potential solutions of the form:
[tex]x = (-1)^n \sqrt{ \frac{\beta^2}{(1-\epsilon)^2}\Big[1+\epsilon+(-1)^m \frac{2}{\beta}\sqrt{\epsilon y^2(2-\epsilon)+\epsilon\beta^2-y^2}\Big]} \ \ \ \ \ \ \ \mathrm{for}\ \{n,m\}\in \{1,2\}.[/tex]
Now, I have tested these solutions numerically for parameters roughly in the range [itex]y\in ]1.67, 2[[/itex] and with [itex]\epsilon \in ]1.01, 4[[/itex]. Generally, I seem to be getting proper solutions if [itex]|\beta|[/itex] is "large" - but if I set e.g. [itex]y = 1.9[/itex], [itex]\epsilon = 2[/itex] and [itex]\beta = 0.02 + i 0.01[/itex] then the solutions are wrong.
I'm consequently quite convinced that [itex]\sqrt{x^2-y^2}+\sqrt{\epsilon x^2-y^2} = \beta[/itex] only has solutions for certain parameters choices - what I want to find out is; can I analytically express when the equation has a solution? I.e. when is the solution domain of the equation empty?

I'll look forward to reading your replies!
 
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Hey Final ansantz and welcome to the forums.

For your question I'm going to assume that |B| is approximately zero. This implies:

√(x^2 - y^2) + √(ex^2 - y^2) = β ~ 0 which implies:
√(x^2 - y^2) ~ -√(ex^2 - y^2) which implies
x^2 - y^2 ~ ex^2 - y^2 which implies
x^2 - ex^2 ~ 0 which implies
x^2[1 - e] ~ 0 which implies x^2 = 0 or e = 1 for this approximation.

But if this relation holds (or is a good approximation which will be the case for |B| being really small), then if e is significantly different from 1, then you will have a problem and get 'non-sensical' results.

If you wanted to do a better analysis of saying 'what' values should be used to get a solution, then instead of making B = 0, you would introduce some kind of epsilon term that corresponds to information about the norm of B.

But yeah given the above, if your e value is near two, then I can see where your answers would give radically different answers that don't make much sense.
 
Thanks for your reply and your kind welcome chiro.
I agree that your suggestion is a good way to qualitatively understand the origin of the problems - and it's clear that the issue becomes significantly more complicated when [itex]\epsilon \neq 1[/itex].

I would however still be very interested in any quantitative, analytical statements about the solution domain of the problem.
 
Final ansatz said:
Thanks for your reply and your kind welcome chiro.
I agree that your suggestion is a good way to qualitatively understand the origin of the problems - and it's clear that the issue becomes significantly more complicated when [itex]\epsilon \neq 1[/itex].

I would however still be very interested in any quantitative, analytical statements about the solution domain of the problem.

In terms of analyzing the problem, you need to take into account your constraints and the effects they have on the solutions.

What will happen is that because you have constraints on your [itex]\epsilon[/itex] and [itex]\beta[/itex] this means you will have constraints on y and subsequently x as well.

If the solutions go outside of these constraints then you will get answers that make no sense since basically these answers assume values that lie outside of your constraint which means that you from an equality to a non-equality (I won't say inequality because that's not what it is: it's a non-equality).

Probably the best way I think you should go about this is to analyze what the solution space is for the lower and upper bounds of your [itex]\beta[/itex] and [itex]\epsilon[/itex] intervals and then using these results get all of the intervals for x and y.

So for example with epilson, first set it to zero and get properties of the rest, set it to infinity, get the properties for the rest then do the same for beta and take the intersection of all the results for x and y and that will tell you what y should be and as a result what x should also be since x is just in terms of y.
 
http://www.datasea.info/avatar1.jpgThanks for your reply and your kind welcome chiro.
 

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