Linearly Independent Solutions[help please]

In summary, the author is trying to find two linearly independent solutions to a equation, but is having difficulty understanding how to do so. They say that if the coefficient of y" were x2 then it would be a singular point and that generally, speaking, you CANNOT write both independent solutions as power series. They provide a theory about how Frobenius's method works and explain that when the solutions of the indicial equation differ by an integer, the other solution must be ln(x) times the first.
  • #1
jezznar
3
0
1. Homework Statement
Find two linearly independent solutions valid for x>0

xy''+y=02. Homework Equations
well first of all, all the solutions that i get to see in the forums is interms of the euler formula.. but in the course that I am taking(advanced engineering mathematics), it is expressed using a power formula... can anyone please teach me how to do this?..3. The Attempt at a Solution

y = Summation of (a_n)(x^n) n=0 -> infinity
y'' = Summation of (n)(n-1)(a_n)(x^[n-2]) n=0 -> infinity // so yeah just differentiation

*substituting it to the equation

= [ Summation of (n)(n-1)(a_n)(x^[n-1]) n=0 -> infinity ] + [Summation of (a_n)(x^n) n=0 -> infinity]

*shifting the y equation to achieve same degree of x
= [ Summation of (n)(n-1)(a_n)(x^[n-1]) n=0 -> infinity ] + [Summation of (a_[n-1] )(x^[n-1]) n=1 -> infinity]

*getting the recurrence releationship


a_2k = [-1]^k a_1 / 2k! [2k-1]!


a_[2k+1] =[-1]^k a_1 / [2k+1]![2k]!

*now substituting it to a power series formula

y= a_0 + [ SUmmation of [a_2k] x^2k k=1 -> infinity ] + a_1 x + [ Summation of a_[2k+1] x^[2k+1] k=1 -> infinity ] +...

*now after that I really don't know how to obtain the two linearly independent solutions.. can someone enlighten me?.. did I even do this right? =[

any help will be very much appreciated...
 
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  • #2
Well, actually you can't get this "in terms of Euler's formula" if you are thinking of the formulas for solving "Euler type" equations because this is not. If the coefficient of y" were x2 then it would be.

I'm afraid you aren't going to like the answer! x=0 is a singular point because the coefficient of y" becomes 0. Generally, speaking you CANNOT write both independent solutions as power series.

You can use Frobenious' method: write
[tex]y(x)= \sum_{n=0}^{\infty} a_n x^{n+ c}[/tex]
where c is a constant which may not be positive or even an integer.
Now we get
[tex]y"= \sum_{n=0}^{\infty} (n+c)(n+c-1)a_n x^{n+c-1}[/tex]
and the equation becomes
[tex]y"+ y= \sum_{n=0}^{\infty} (n+c)(n+c-1)a_n x^{n+c-1}+ \sum_{n=0}^{\infty} a_n x^{n+ c}= 0[/itex]
If we look for the lowest possible power of x, we see that taking n=0 in each sum gives xc-1 in the first sum and xc in the second. So the lowest possible power of x is xc-1 and its coefficient is c(c-1)a0. Since the sum itself is 0, all coefficients of powers of x must be 0 so we have c(c-1)a0= 0. Now there is an "ambiguity" in this: we could reduce c by an integer while absorbing that constant in n and get different coefficients giving the same sum. We avoid that ambiguity by requireing that the sum actually start with n= 0- that is, that a0 is not 0. Since c(c-1)a0= 0, we have the "indicial equation", c(c-1)= 0 so either c= 0 or c= 1. Taking c= 0, of course, is just a regular power series solution.

Now for the part you won't like! Frobenius' theory shows that when the solutions of the indicial equation differ by an integer, the other solution cannot be written as a power series in that way. What does happen is that the second indpendent solution must be ln(x) times the first!
 
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  • #3
i see... hmmmm... now i get why I can't solve for anything... I guess I need to start all over again and restudy these type of problems and plugin "indicial equations."

Thank you very much hallsofivy!

//edit:
oh my, I think I'm starting to get this. :) thank you very much! I'll try to post my solution when I get back from school.. thankiez again :)
 
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Related to Linearly Independent Solutions[help please]

What are linearly independent solutions?

Linearly independent solutions are a set of solutions to a system of linear equations that cannot be represented as a linear combination of each other. This means that each solution is unique and cannot be obtained by multiplying another solution by a constant.

How do I determine if a set of solutions is linearly independent?

To determine if a set of solutions is linearly independent, you can use the Wronskian test. This involves taking the determinant of a matrix composed of the solutions, and if the determinant is non-zero, the solutions are linearly independent. Another method is to check if the solutions are scalar multiples of each other, as this would indicate dependence.

Why is it important to have linearly independent solutions?

Linearly independent solutions are important because they allow us to find the general solution to a system of linear equations. Without linearly independent solutions, we would only be able to find specific solutions, rather than a general solution that can be applied to different scenarios.

Can a set of linearly dependent solutions still be useful?

Yes, a set of linearly dependent solutions can still be useful in certain situations. For example, if we are interested in finding a particular solution to a system of linear equations, we can use linearly dependent solutions to construct it. However, for finding a general solution, linearly independent solutions are necessary.

Are linearly independent solutions unique?

Yes, linearly independent solutions are always unique. This is because they cannot be represented as a linear combination of each other, so each solution is distinct and cannot be obtained by any other means.

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