Naive regular perturbation

In summary, to solve the given equation (1) for ε = 0.01, we can apply a naive regular perturbation and a leading order balance argument to derive three-term approximations for two of the roots. To find the third root, we can solve the equation numerically. These steps will help us to accurately solve the given equation.
  • #1
sam_0017
22
0
can anyone hlep me with this qustion ?

Consider the equation

ε x^3 + x^2 - x - 6 = 0 ,ε > 0. (1)

1. Apply a naive regular perturbation of the form

x~[itex]^{0}_{∞}Ʃ[/itex] xn εn as ε→0+

do derive a three-term approximation to the solutions of (1).

2. The above perturbation expansion should only give you an approximation for 2 of the roots.
Apply a leading order balance argument to device suitable expansions for the other root, again
in the limit ε → 0+. Again, derive a three-term approximation this third case.

3. Solve (1) numerically for ε = 0.01 ?
 
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  • #2


Hello there,

I would be happy to help you with this question. Let's start by breaking down the problem and discussing the steps we can take to solve it.

1. To begin, we can apply a naive regular perturbation of the form x~^{0}_{∞}Ʃ xn εn as ε→0+ to the given equation (1). This means we will be expanding the solution of x in powers of ε. We can then use this expansion to derive a three-term approximation of the solutions to the equation.

2. However, this perturbation expansion will only give us approximations for two of the roots. To find the third root, we can use a leading order balance argument. This involves balancing the leading order terms of the equation to determine suitable expansions for the third root. Once we have these expansions, we can again derive a three-term approximation for this case.

3. Finally, we can solve the equation (1) numerically for ε = 0.01. This will give us an accurate solution to the equation, which we can compare to our approximations from the previous steps.

I hope this helps to clarify the steps needed to solve this problem. Let me know if you have any further questions or need more assistance. Good luck!
 

Related to Naive regular perturbation

1. What is naive regular perturbation?

Naive regular perturbation is a technique used in physics and mathematics to solve problems that involve small parameters. It involves expanding equations in terms of a small parameter and then solving for the first few terms in the series.

2. How is naive regular perturbation different from other perturbation techniques?

Naive regular perturbation is different from other perturbation techniques, such as singular perturbation or multiple scales, in that it assumes the small parameter is "regular" or of a constant size. This means that the expansion terms are all of the same order of magnitude.

3. When is naive regular perturbation a useful technique?

Naive regular perturbation is a useful technique when the problem being solved involves a small parameter and the solution needs to be found to a high degree of accuracy. It is also useful when other perturbation techniques are not applicable due to the small parameter being regular in size.

4. Are there any limitations to using naive regular perturbation?

Yes, there are some limitations to using naive regular perturbation. It is only applicable to problems with small parameters that are regular in size, and it may not work well for problems with discontinuities or singularities. It also requires a good understanding of the problem and the ability to accurately determine the small parameter.

5. How is the accuracy of the solution in naive regular perturbation determined?

The accuracy of the solution in naive regular perturbation is determined by the number of terms included in the series expansion. The more terms that are included, the higher the accuracy of the solution. However, it is important to note that as more terms are added, the calculations become more complex and may become impractical to solve by hand.

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