Lagrange multipliers find critical points of f(x,y,z) subject to g(x,y,z)=12. Analyzing their Hessian reveals a maximum of 18 and a minimum of 6.
Finding Extreme Values of f(x, y, z) subject to g(x, y, z)
Objective Function:

Constraint: g(x, y, z) =

Approach: We use Lagrange multipliers to find critical points and analyze their nature.
1. Lagrange Multiplier Setup:
Introduce a Lagrange multiplier λ and solve the system of equations:
∇f(x, y, z) = λ ∇g(x, y, z)
g(x, y, z) = 12
2. Solving the System:
This system leads to a quartic equation in y. Solving for y, we find four possible values. Substituting each into the system and solving for x and z, we get four critical points.
3. Analyzing Critical Points:
By evaluating the Hessian matrix of f at each critical point, we can determine whether it is a maximum, minimum, or saddle point.
4. Extreme Values:
Among the critical points, the maximum value of f(x, y, z) is 18 and the minimum value is 6.
Complete question below:
Problem: Find the extreme values of f(x, y, z) subject to the constraint g(x, y, z)
Objective function:

Constraint:
