vela said:
If you have just two functions, you can usually tell by inspection if they are multiples of each other, so it's relatively easy to see if two functions are not independent. But that's not the same as proving linear independence. Using the Wronskian is a quick way to do that if it works.
No, you can't do that because the solutions will depend on what p(x) and q(x) are. Can you give us the complete problem you're trying to do?
Its a three part question vela,
First part is having that ode mentioned in orginally post.
y'' + p(x)y' + q(x)y = 0
where x belongs to the interval I and [tex]x_0 \in I[/tex] assume that [tex]y_1(x) \neq 0[/tex]
Show that the second solution of the ode can be expressed
[tex]y_2(x) = y_1(x) \int_{x_0}^{x} \frac{1}{y_1(t)^2}e^{-\int_{x_0}^{t} p(u) du}dt[/tex]
Assuming that [tex]y_1(x)[/tex] is a solution of the original equation. Then
[tex]y_2(x) = y_1(x) \cdot v(x)[/tex] is the second solution of the ode where v(x) is an unknown funct.
by taking the derivative of [tex]y_2(x)[/tex] (since this a solution) I plug the respective first order and second order derivative of y2 into the original equation and obtain
[tex]\frac{v''(t)}{v'(t)} + 2\cdot \frac{y_1'(t)}{y_1(t)} + p(u) = 0[/tex]
This eqn is seperable and thus by v'' = w
then I obtain
[tex]\frac{w'(t)}{w(t)} + 2\cdot \frac{y_1'(t)}{y_1(t)} = - p(u) du[/tex]
and by integrating on both sides with the their respective variables
I get
[tex]ln|w(t) \cdot y_1^2(t)| = - \int p(u) du[/tex]
I take exp on both sides of the equality and obtain
[tex]w(t) \cdot y_1^2(t) = e^{- \int p(u) du}[/tex]
which by integrating again yields
[tex]v = c_1\cdot \int e^{- \int p(u) du}dt + c_2[/tex] and by choosing c1= 1 and c2 = 0 then I obtain
[tex]y_2(x) = y_1(x) \int_{x_0}^{x} \frac{1}{y_1(t)^2}e^{-\int_{x_0}^{t} p(u) du}dt[/tex]
which is the second solution for the ode. where the solution set is defined on the interval [tex]x_0 \leq t \leq x[/tex] and integrant p on the subinterval [tex]x_0 \leq u \leq t[/tex]
What I know about p and q that they are functions defined on I.
That leads to the second question, vela.
2) Show that (I,y1) and (I,y2) are linear independent.
Well I can't check the wronskian for the ode since p and q aren't givin exact? Do I choose a couple of functions to represent p and q and calculate the solution set of y1 and y2 and if this yields a wronskian different from zero then by magic their solution funct y1(x) and y2(x) are linear independent?