The method of lagrange multipliers is used in mathematical optimization when finding maxima and minima of a function subject to equality constraints.
There steps of using lagrange multipliers are:
- Solve the system of equations $\nabla f(x, y,z) = \lambda \nabla g(x, y,z)$, where $g$(x, y, z) is the constraint function and $f(x, y, z)$ is the function we are optimizing.
- Plug in the solutions and identify the maximum/minimums
In the question provided, we have $f(x, y, z) = 3x + 5y + 2z$ and $g(x) = x^3 \cdot y^2 \cdot z^4$.
We are also provided the constraint that $x, y, z > 0$.
We take the partial derivatives of $f(x)$ with respect to $x, y $ and $z$ and set them equal to the partial derivatives of $\lambda$ times the partial derivative of $g(x)$ with respect to $x, y$ and $z$ respectively to get the system of equations:
\begin{cases} 2 = 4x^3y^2z^3\lambda \\ 5 = 2x^3yz^4\lambda \\ 3 = 3x^2y^2z^4 \lambda \\ x^3 \cdot y^4 \cdot z^4 = 17 \end{cases}
Solving the system of equations yields that $\lambda$ can take many many values (Wolfram Alpha gave me around 10), but only one is real, which is 0.02599997.
This leads us to the conclusion that the minimum occurs when $x = \frac{z}{2}$ and when $x = \frac{5y}{2}$
We can substitute this into the constraint function and find that $x = 1.2341, y = 0.4936 $ and $z = 2.4682$.
Plugging these into $f(x, y, z)$ will give us the minimum value of approximately $f(x, y, z) = 11.1067$
Thank you to @Alex Silva for helping me with this.