Math Problem Statement
Find the global max of f(x,y,z)=xyz subject to the constraint 2x+y+2z=243.
Solution
To find the global maximum of the function subject to the constraint , we can use the method of Lagrange multipliers.
Step 1: Set up the Lagrange multiplier equations
We define the Lagrange multiplier function: where and is the constraint.
Thus,
Step 2: Compute partial derivatives
We need to find the partial derivatives of and set them equal to zero.
For :
For :
For :
For (the constraint equation):
Step 3: Solve the system of equations
Now we solve the system of equations:
From equations (1) and (2), we can express in terms of : Substitute into equation (1): This simplifies to:
Now, substitute into equation (3): Cancel the common factor of 2: If , we can divide by :
Thus, we have:
Step 4: Substitute into the constraint
Substitute and into the constraint :
Step 5: Find the values of and
Since and , we have:
Step 6: Find the value of the objective function
Now substitute , , and into the objective function :
Thus, the global maximum value of subject to the constraint is .
Additional Questions:
- How do the Lagrange multipliers help in solving constrained optimization problems?
- What is the role of the constraint in this problem?
- What would happen if we had different constraints?
- How do we confirm that this is indeed the global maximum?
- How can the method of Lagrange multipliers be extended to more variables?
Tip:
Always check if the values you get make sense within the context of the problem—sometimes the mathematical solution might need interpretation or verification with boundary conditions.
Ask a new question for Free
By Image
Drop file here or Click Here to upload
Math Problem Analysis
Mathematical Concepts
Optimization
Lagrange Multipliers
Multivariable Calculus
Formulas
Lagrange Multiplier method: \( \mathcal{L}(x, y, z, \lambda) = f(x, y, z) - \lambda \cdot g(x, y, z) \)
Constraint: \( 2x + y + 2z = 243 \)
Partial derivatives of Lagrange function
Theorems
Lagrange Multiplier Theorem
Constrained Optimization
Suitable Grade Level
College-Level (Calculus 3, Multivariable Calculus)
Related Recommendation
Maximize and Minimize f(x, y, z) = xyz using Lagrange Multipliers with Constraint x^2 + 2y^2 + 3z^2 = 96
Optimization of f(x, y, z) = 3x + 2y + 4z with Constraint x^2 + 2y^2 + 6z^2 = 81
Max/Min Optimization using Lagrange Multipliers for xyz with Constraint
Finding Global Maxima and Minima using Lagrange Multipliers
Minimization of f(x,y,z) Using Lagrange Multipliers with Constraint xyz=12000