Constants at the end of the Frobenius method

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SUMMARY

The discussion centers on the application of constants in the Frobenius method, specifically in the context of solving the differential equation 2xy'' + y' + y = 0. The solutions derived are y1(x) = C1[1 - x + 1/6*x^2 - 1/90*x^3 + ...] and y2(x) = C2x^(1/2)[1 - 1/3*x + 1/30*x^2 - 1/630*x^3 + ...]. The constants C1 and C2 are determined by initial or boundary conditions, not from the coefficients within the brackets. The discussion emphasizes that different initial conditions lead to different solutions within the same vector field.

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ABearon
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TL;DR
are c1 and c2 just random coefficients
I'm having a hard time grasping the concept of reducing the two recursive relations at the end of the frobenius method.

For example, 2xy''+y'+y=0
after going through all the math i get
y1(x) = C1[1-x+1/6*x^2-1/90*x^3+...]
y2(x) = C2x^1/2[1-1/3*x+1/30*x^2-1/630*x^3+...]

I know those are right, and I know we solve for what's inside the bracket by taking a C0 out. I'm just trying to clarify that, since c0 is different for each term and since it is arbitrary we can just write c1 for y1 and c2 for y2. I want to make sure this is where the c1 and c2 come from and not from trying to take out a c1 in the y1 brackets and c2 in the y2 brackets.
 
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The constants only depend on the initial or boundary conditions. A certain solution is a certain flow through a vector field: different initial conditions make different flows although the vector field does not change.

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Example: ##\left(y'\right)^2 -4y = 0## has the solution ##y=x^2##. But this is only half the truth. All functions ##y(x)=x^2+c## are solutions, too. And we find the value of ##c## by knowing some actual value of ##y(x_0)##. More or higher derivatives result in more initial conditions. The point ##x_0## is often chosen to be ##x_0=0## but could by any other. Say in my example we have ##y(-3)=16##, then ##y(-3)=(-3)^2+c=16## which get's us ##c=7##.
 

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