Math Problem Statement

Find the minimum and maximum values of the function f(x, y) = 8x^2 + y^2, subject to the constraint 4x + 2y = 2.

Solution

To solve this problem, we’ll use the method of Lagrange multipliers to find the minimum and maximum values of f(x,y)=8x2+y2f(x, y) = 8x^2 + y^2 subject to the constraint 4x+2y=24x + 2y = 2.

Step 1: Set Up the Lagrange Function

Define the Lagrange function L\mathcal{L} by incorporating the constraint into the function with a multiplier λ\lambda: L(x,y,λ)=8x2+y2+λ(24x2y)\mathcal{L}(x, y, \lambda) = 8x^2 + y^2 + \lambda (2 - 4x - 2y)

Step 2: Compute the Partial Derivatives

To find the critical points, take partial derivatives of L\mathcal{L} with respect to xx, yy, and λ\lambda, and set them equal to zero:

  1. Lx=16x4λ=0\frac{\partial \mathcal{L}}{\partial x} = 16x - 4\lambda = 0
  2. Ly=2y2λ=0\frac{\partial \mathcal{L}}{\partial y} = 2y - 2\lambda = 0
  3. Lλ=24x2y=0\frac{\partial \mathcal{L}}{\partial \lambda} = 2 - 4x - 2y = 0

Step 3: Solve the System of Equations

From equations (1) and (2), we get:

  1. 16x=4λλ=4x16x = 4\lambda \Rightarrow \lambda = 4x
  2. 2y=2λλ=y2y = 2\lambda \Rightarrow \lambda = y

Now, equate λ\lambda values from both equations: 4x=y4x = y

Substitute y=4xy = 4x into the constraint 4x+2y=24x + 2y = 2: 4x+2(4x)=212x=2x=164x + 2(4x) = 2 \Rightarrow 12x = 2 \Rightarrow x = \frac{1}{6}

Then, substitute x=16x = \frac{1}{6} back to find yy: y=4(16)=23y = 4 \left(\frac{1}{6}\right) = \frac{2}{3}

Step 4: Evaluate f(x,y)f(x, y) at (16,23)\left( \frac{1}{6}, \frac{2}{3} \right)

Substitute x=16x = \frac{1}{6} and y=23y = \frac{2}{3} into f(x,y)=8x2+y2f(x, y) = 8x^2 + y^2:

= 8 \cdot \frac{1}{36} + \frac{4}{9} = \frac{2}{9} + \frac{4}{9} = \frac{6}{9} = \frac{2}{3}$$ ### Conclusion The minimum value of $$f(x, y)$$ is $$\frac{2}{3}$$. Since there are no other critical points, this is the only extremum, and no maximum exists. **Answers:** - $$f_{\text{min}} = \frac{2}{3}$$ - $$f_{\text{max}} = \text{DNE}$$ Would you like further details or have any questions? Here are some related questions you might find helpful: 1. What are Lagrange multipliers, and why are they useful? 2. How do we determine if an extremum exists when using constraints? 3. What is the geometric interpretation of the constraint $$4x + 2y = 2$$? 4. Can this method apply to more than two variables and constraints? 5. How would the process change if we were maximizing $$f(x, y)$$? **Tip:** When setting up a Lagrange multiplier problem, remember to carefully derive and solve each partial derivative equation systematically.

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Multivariable Calculus
Lagrange Multipliers
Optimization with Constraints

Formulas

Lagrange function: 𝓛(x, y, λ) = f(x, y) + λ(g(x, y) - c)

Theorems

Lagrange Multipliers

Suitable Grade Level

College