Question:
Find the minimum of $f(x, y)=3x^2+4y^2+4xy-11x-6y$ where $x$ and $y$ are reals and characterise the instances of equality.
My approach:
My first thought was to factorise this into a square. However, that is clearly not possible. AM-GM and Jenson's does not apply here due to the $-11x-6y$. Cauchy-Schwarz and other inequalities do not seem to apply either. According to dcode.fr, the minimum is $-\dfrac{41}{4}$ and equality is achieved when $x=2$ and $y=-\frac{1}{4}$, but I do not know how to prove this. Any help will be appreciated!
When the minimum of $f(x, y)$ is achieved, by definition, the derivative of $f(x, y)$ with respect to both $x$ and $y$ must be $0$ (when the other is held constant). Hence, it suffices to find the derivative of $f(x, y)$ with respect to both $x$ and $y$.
The derivative of $f(x, y)$ with respect to $x$ is $$\begin{align} \frac{\partial f}{\partial x} &=\frac{\partial}{\partial x}\left[3x^2+4y^2+4xy-11x-6y\right] \\ &=\frac{\partial}{\partial x}\left[3x^2+(4y-11)x+(4y^2-6y)\right] \\ &=6x+4y-11 & \text{since }y\text{ is held constant} \end{align}$$
Similarly, the derivative of $f(x, y)$ with respect to $y$ is $$\begin{align} \frac{\partial f}{\partial y} &=\frac{\partial}{\partial y}\left[3x^2+4y^2+4xy-11x-6y\right] \\ &=\frac{\partial}{\partial y}\left[4y^2+(4x-6)y+(3x^2-11x)\right] \\ &=8y+4x-6 & \text{since }x\text{ is held constant} \end{align}$$
Suppose that the minimum of $f(x, y)$ is achieved when $(x, y)=(x_0, y_0)$. Then, we will have
$$ \begin{cases} 6x_0+4y_0=11 \\ 4x_0+8y_0=6 \\ \end{cases} \\ \implies \begin{cases} x_0=2 \\ y_0=-\frac{1}{4} \\ \end{cases} $$
Now, we can substitute this back into $f(x, y)$ to get $$f(x_0, y_0)=-10\frac{1}{4}$$
Now, it suffices to prove that this is indeed the global minimum. Consider the double partial derivative of $f(x, y)$.
The double derivative of $f(x, y)$ with respect to $x$ is $$\begin{align} \frac{\partial^2 f}{\partial x^2} &=\frac{\partial}{\partial x}\left[6x+4y-11\right] \\ &=6 \end{align}$$
Similarly, the double derivative of $f(x, y)$ with respect to $y$ is $$\begin{align} \frac{\partial^2 f}{\partial y^2} &=\frac{\partial}{\partial y}\left[8y+4x-6\right] \\ &=8 \end{align}$$
Lastly, the double derivative of $f(x, y)$ with respect to $xy$ is $$\begin{align} \frac{\partial^2 f}{\partial x\partial y} &=\frac{\partial}{\partial x}\frac{\partial f}{\partial y} \\ &=\frac{\partial}{\partial x}\left(8y+4x-6\right) \\ &=4 \end{align}$$
Now, consider the Hessian matrix. Its determinant will be $6\times8-(4)^2=32>0$. Coupled with the fact that $\dfrac{\partial^2 f}{\partial x^2}>0$, we can conclude that $-10\frac{1}{4}$ is indeed the local minimum. However, since $f(x, y)$ is also strictly convex, $-10\frac{1}{4}$ is also the global minimum.
Hence, the minimum of $f(x, y)$ is $-10\frac{1}{4}$ with equality if and only if $x=2$ and $y=-\frac{1}{4}$.