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 f(x,y,z)=xyzf(x, y, z) = xyz subject to the constraint 2x+y+2z=2432x + y + 2z = 243, we can use the method of Lagrange multipliers.

Step 1: Set up the Lagrange multiplier equations

We define the Lagrange multiplier function: L(x,y,z,λ)=f(x,y,z)λg(x,y,z)\mathcal{L}(x, y, z, \lambda) = f(x, y, z) - \lambda \cdot g(x, y, z) where f(x,y,z)=xyzf(x, y, z) = xyz and g(x,y,z)=2x+y+2z243g(x, y, z) = 2x + y + 2z - 243 is the constraint.

Thus, L(x,y,z,λ)=xyzλ(2x+y+2z243)\mathcal{L}(x, y, z, \lambda) = xyz - \lambda (2x + y + 2z - 243)

Step 2: Compute partial derivatives

We need to find the partial derivatives of L(x,y,z,λ)\mathcal{L}(x, y, z, \lambda) and set them equal to zero.

For xx:

Lx=yzλ2=0\frac{\partial \mathcal{L}}{\partial x} = yz - \lambda \cdot 2 = 0 yz=2λyz = 2\lambda

For yy:

Ly=xzλ1=0\frac{\partial \mathcal{L}}{\partial y} = xz - \lambda \cdot 1 = 0 xz=λxz = \lambda

For zz:

Lz=xyλ2=0\frac{\partial \mathcal{L}}{\partial z} = xy - \lambda \cdot 2 = 0 xy=2λxy = 2\lambda

For λ\lambda (the constraint equation):

Lλ=(2x+y+2z243)=0\frac{\partial \mathcal{L}}{\partial \lambda} = -(2x + y + 2z - 243) = 0 2x+y+2z=2432x + y + 2z = 243

Step 3: Solve the system of equations

Now we solve the system of equations:

  1. yz=2λyz = 2\lambda
  2. xz=λxz = \lambda
  3. xy=2λxy = 2\lambda
  4. 2x+y+2z=2432x + y + 2z = 243

From equations (1) and (2), we can express λ\lambda in terms of x,y,zx, y, z: λ=xz\lambda = xz Substitute into equation (1): yz=2xzyz = 2xz This simplifies to: y=2xy = 2x

Now, substitute y=2xy = 2x into equation (3): x(2x)=2xzx(2x) = 2xz 2x2=2xz2x^2 = 2xz Cancel the common factor of 2: x2=xzx^2 = xz If x0x \neq 0, we can divide by xx: x=zx = z

Thus, we have: y=2xandz=xy = 2x \quad \text{and} \quad z = x

Step 4: Substitute into the constraint

Substitute y=2xy = 2x and z=xz = x into the constraint 2x+y+2z=2432x + y + 2z = 243: 2x+2x+2x=2432x + 2x + 2x = 243 6x=2436x = 243 x=2436=40.5x = \frac{243}{6} = 40.5

Step 5: Find the values of yy and zz

Since y=2xy = 2x and z=xz = x, we have: y=2(40.5)=81y = 2(40.5) = 81 z=40.5z = 40.5

Step 6: Find the value of the objective function

Now substitute x=40.5x = 40.5, y=81y = 81, and z=40.5z = 40.5 into the objective function f(x,y,z)=xyzf(x, y, z) = xyz: f(40.5,81,40.5)=40.5×81×40.5f(40.5, 81, 40.5) = 40.5 \times 81 \times 40.5 f(40.5,81,40.5)=40.52×81f(40.5, 81, 40.5) = 40.5^2 \times 81 40.52=1640.2540.5^2 = 1640.25 1640.25×81=132562.251640.25 \times 81 = 132562.25

Thus, the global maximum value of f(x,y,z)=xyzf(x, y, z) = xyz subject to the constraint is 132562.25\boxed{132562.25}.

Additional Questions:

  1. How do the Lagrange multipliers help in solving constrained optimization problems?
  2. What is the role of the constraint 2x+y+2z=2432x + y + 2z = 243 in this problem?
  3. What would happen if we had different constraints?
  4. How do we confirm that this is indeed the global maximum?
  5. 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.

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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)