I have some sort of issue on this problem. Here it is: Show that the backwards heat equation, $\frac {\partial u}{\partial t} = -k \frac {\partial^2 u}{\partial x^2}$, subject to $u(0,t) = u(L,t) = 0, u(x,0) = f(x)$ is not well posed.
Here is my attempt at the solution. I used the Method Of Separation Of Variables to work on this problem, $[u(x,t) = F(x)G(t)]$. By separation of variables, the P.D.E. turns out to be $\frac {1}{G} \frac{\partial G}{\partial T} = \frac {-k}{F} \frac{\partial^2 F}{\partial x^2} = \lambda$. I only focused on the conditions for $\lambda$ only for the function $F(x)$. For $\lambda =0$ and $\lambda <0$, the solution would be trivial. For $\lambda > 0$, I found the general solution as $F(x) = B_n \sin (\frac{n \pi x }{L}) $ which $B_n$ are arbitrary constants for $n = 1,2,3,......$
Now for this condition on $\lambda$ on $G(t)$, I had that $G(t) = C_n e^{k\frac{n \pi x}{L}t}$ which $u(x,t)= \sum_{i=1}^{n}b_n e^{k\frac{n \pi x}{L}t}\sin (\frac{n \pi x }{L}) $ which $b_n = B_n*C_n$. When I initialize the initial condition, the general solution would be $u(x,0)= \sum_{i=1}^{n}b_n\sin (\frac{n \pi x }{L}) = f(x) $. I know this a Fourier Series representation but I do not understand how to find out if this is well-posed or not. A well posed solution is if the solution is unique and if the solution depends continuously on the data.
Am I on the right track?