dY/dt = Ay, The derivative is given by this transformation matrix of A on the vector Y. 1.look for particular solutions by separting the variable y(t)=e^(vt)x : Ax=Vx 2.Find all eigenvalues and eigenvectors of A: Au_j=V_j*U_j, j=1,2,3...n 3.if eigen vectors {u1,u2,u3..un} are linearly independent(form a basis in R^n) y(t)=c1e^(V_1*t)+c2e^(V_2*t)+...+cne^(V_n*t)
okay i think i do follow it now, but yes do write it out, ill be nice to see the steps laid out
So you want to understand why the matrix thingy works? Like at what point does it stop making sense or seem unreasonable to you? Like in the past when we had \[\LARGE y'' + 3y' +2y=0\] we could just use \[\LARGE y=e^{r t}\] and solve \[\LARGE r^2+3r+2r=(r+1)(r+2)\] to get \[\LARGE y=C_1e^{-t}+C_2e^{-2t}\] It's basically just an extension of this.
I am not really sure I know how to formally prove it, but the matrix is just a quick shorthand for doing a bunch of tedious calculations it's not like we're really doing something crazy.
yeah
Just looking at a single term, you get \[\LARGE y_n=e^{\lambda_n t}\] so the derivative is \[\LARGE y_n'=\lambda_n e^{\lambda_n t}\] so we can really consider this as a scalar multiple. \[\LARGE \frac{d}{dt}y_n=\lambda_n y_n\] where lambda is the eigen value and d/dt is the transformation. That's why we call these eigen functions
okay this is what i got so far |dw:1412842954920:dw|
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