Math Problem Statement

Find the maximum and minimum values of the function f(x,y,z)=yz+xy subject to the constraints y2+z2=225 and xy=7

Solution

We need to find the maximum and minimum values of the function:

f(x,y,z)=yz+xyf(x, y, z) = yz + xy

subject to the constraints:

y2+z2=225(1)y^2 + z^2 = 225 \quad \text{(1)} xy=7(2)xy = 7 \quad \text{(2)}

To solve this problem, we will apply the method of Lagrange multipliers, which involves introducing multipliers λ\lambda and μ\mu for the two constraints.

Step 1: Define the Lagrange function

The Lagrange function L(x,y,z,λ,μ)\mathcal{L}(x, y, z, \lambda, \mu) is given by:

L(x,y,z,λ,μ)=f(x,y,z)λ(g1(y,z)225)μ(g2(x,y)7)\mathcal{L}(x, y, z, \lambda, \mu) = f(x, y, z) - \lambda(g_1(y, z) - 225) - \mu(g_2(x, y) - 7)

where:

  • f(x,y,z)=yz+xyf(x, y, z) = yz + xy
  • g1(y,z)=y2+z2g_1(y, z) = y^2 + z^2
  • g2(x,y)=xyg_2(x, y) = xy

So the Lagrange function becomes:

L(x,y,z,λ,μ)=yz+xyλ(y2+z2225)μ(xy7)\mathcal{L}(x, y, z, \lambda, \mu) = yz + xy - \lambda(y^2 + z^2 - 225) - \mu(xy - 7)

Step 2: Take partial derivatives and set them equal to zero

We need to take the partial derivatives of L\mathcal{L} with respect to xx, yy, zz, λ\lambda, and μ\mu, and set each to zero.

Partial derivatives:

Lx=yμy=0y(1μ)=0\frac{\partial \mathcal{L}}{\partial x} = y - \mu y = 0 \quad \Rightarrow \quad y(1 - \mu) = 0 Ly=z+x2λyμx=0\frac{\partial \mathcal{L}}{\partial y} = z + x - 2\lambda y - \mu x = 0 Lz=y2λz=0\frac{\partial \mathcal{L}}{\partial z} = y - 2\lambda z = 0 Lλ=(y2+z2225)=0y2+z2=225\frac{\partial \mathcal{L}}{\partial \lambda} = -(y^2 + z^2 - 225) = 0 \quad \Rightarrow \quad y^2 + z^2 = 225 Lμ=(xy7)=0xy=7\frac{\partial \mathcal{L}}{\partial \mu} = -(xy - 7) = 0 \quad \Rightarrow \quad xy = 7

Step 3: Solve the system of equations

From Lx=0\frac{\partial \mathcal{L}}{\partial x} = 0, we have y(1μ)=0y(1 - \mu) = 0. This gives two cases:

Case 1: y=0y = 0

  • If y=0y = 0, then from the constraint xy=7xy = 7, we get x=7yx = \frac{7}{y}, but this is undefined, so y=0y = 0 leads to an invalid solution.

Case 2: μ=1\mu = 1

  • From the equation y(1μ)=0y(1 - \mu) = 0, we get μ=1\mu = 1.

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Math Problem Analysis

Mathematical Concepts

Lagrange Multipliers
Multivariable Calculus
Constrained Optimization

Formulas

Lagrange function: 𝓛(x, y, z, λ, μ) = yz + xy - λ(y² + z² - 225) - μ(xy - 7)
Partial derivatives for optimization

Theorems

Lagrange Multiplier Theorem

Suitable Grade Level

College/University Level (Calculus III or higher)