optimize f(x,y)=(x^4 y^4) subject to 4x^2 9y^2=36

To optimize the function f(x, y) = x^4 * y^4 subject to the constraint 4x^2 + 9y^2 = 36, we can use the method of Lagrange multipliers. The Lagrange multipliers technique allows us to find the maximum or minimum of a function subject to one or more constraints.

Here's how we can find the solution step by step:

Step 1: Setup the equations
Let's define a new function L(x, y, λ) = f(x, y) - λ * g(x, y), where g(x, y) is the constraint equation and λ is a Lagrange multiplier.

Our objective is to find the values of (x, y, λ) that satisfy the equations:
∇L = 0,
g(x, y) = 0.

Step 2: Compute Partial Derivatives
Compute the partial derivatives of L(x, y, λ) with respect to x, y, and λ:
∂L/∂x = 4x^3 * y^4 - 2λ * 4x,
∂L/∂y = 4x^4 * y^3 - 2λ * 9y,
∂L/∂λ = -g(x, y) = -4x^2 - 9y^2 + 36.

Step 3: Equate to zero
Set all three partial derivatives equal to zero and solve the resulting system of equations:
4x^3 * y^4 - 2λ * 4x = 0,
4x^4 * y^3 - 2λ * 9y = 0,
-4x^2 - 9y^2 + 36 = 0.

Step 4: Solve for (x, y, λ)
To solve these equations, you may use various methods such as substitution, elimination, or matrices. Simplify the system of equations and find the values of (x, y, λ).

Step 5: Evaluate Critical Points
Once you have the values of (x, y, λ), evaluate the function f(x, y) at the points (x, y) to see which one gives the maximum or minimum value. Plug the (x, y) values into f(x, y) = x^4 * y^4 to find the corresponding function value.

Step 6: Check for Boundary Solutions
In addition to the critical points you found in Step 5, check for solutions on the boundary of the given region defined by the constraint equation 4x^2 + 9y^2 = 36. To do this, substitute the boundary equation into the objective function f(x, y), and find the maximum or minimum values.

Step 7: Determine the Maximum or Minimum
Compare all the function values obtained from Steps 5 and 6, and determine which one gives the maximum or minimum value of f(x, y) subject to the given constraint.

By following these steps, you can optimize the function f(x, y) = x^4 * y^4 subject to the constraint 4x^2 + 9y^2 = 36.