I have the following equation:
$$ f(x,y) = x^2 + cy^2 + 2xy $$
I want to find the values of c for the function $f(x,y)$ has a minimum. However I have to solve it by writing the function in the following form:
$$ f(x,y) = \begin{bmatrix} x \\ y \end{bmatrix} ^T A \begin{bmatrix} x \\ y \end{bmatrix}$$
I generally solve the equations by differentiating by x and y and equating to zero, then forming a Hessian matrix and then checking if my point(s) are a minimum or not. However, I am very unfamiliar to solving it in the form above. Could someone explain the relevance of the form to finding the minimum.
One direct way of doing this is to write $A = \begin{pmatrix} \alpha & \beta \\ \gamma & \delta \end{pmatrix}$ and multiply $$ (x, y) A (x,y)^T = \alpha x^2 + (\beta + \gamma)xy + \delta y^2 $$ which in your case forces $\alpha = 1, \delta = c$ and $\beta + \gamma = 2$, since you have a choice, pick $\beta = \gamma = 1$ so $A = A^T$ and we get $A = \begin{pmatrix} 1 & 1 \\ 1 & c \end{pmatrix}$.
Can you finish? Here is a useful set of lecture notes on optimization of quadratic forms.