Math Problem Statement

Use Lagrange multiplier techniques to find the local extreme values of the given function subject to the stated constraint. If appropriate, determine if the extrema are global. (If a local or global extreme value does not exist enter DNE.) f(x, y) = 6x + y + 4 with constraint g(x, y) = xy = 1

Solution

To find the local extreme values of the function f(x,y)=6x+y+4f(x, y) = 6x + y + 4 subject to the constraint g(x,y)=xy=1g(x, y) = xy = 1 using the method of Lagrange multipliers, we follow these steps:

Step 1: Set up the Lagrange multiplier equations

We introduce a Lagrange multiplier λ\lambda and set up the system of equations given by the gradients of the function and the constraint: f(x,y)=λg(x,y)\nabla f(x, y) = \lambda \nabla g(x, y) This gives the following system:

  • The gradient of f(x,y)f(x, y) is f(x,y)=(6,1)\nabla f(x, y) = (6, 1)
  • The gradient of g(x,y)=xy1g(x, y) = xy - 1 is g(x,y)=(y,x)\nabla g(x, y) = (y, x)

Thus, the Lagrange multiplier equations are: (6,1)=λ(y,x)(6, 1) = \lambda (y, x) This produces the two equations:

  1. 6=λy6 = \lambda y
  2. 1=λx1 = \lambda x

Step 2: Solve for λ\lambda

From the first equation, solve for λ\lambda: λ=6y\lambda = \frac{6}{y} From the second equation: λ=1x\lambda = \frac{1}{x} Equating the two expressions for λ\lambda, we get: 6y=1x\frac{6}{y} = \frac{1}{x} Cross-multiply: 6x=y6x = y

Step 3: Use the constraint

We now use the constraint xy=1xy = 1. Substitute y=6xy = 6x into the constraint: x(6x)=1x(6x) = 1 6x2=16x^2 = 1 x2=16x^2 = \frac{1}{6} x=±16x = \pm \frac{1}{\sqrt{6}}

Step 4: Find corresponding values of yy

For x=16x = \frac{1}{\sqrt{6}}, we have: y=6x=6×16=6y = 6x = 6 \times \frac{1}{\sqrt{6}} = \sqrt{6} For x=16x = -\frac{1}{\sqrt{6}}, we have: y=6x=6×16=6y = 6x = 6 \times -\frac{1}{\sqrt{6}} = -\sqrt{6}

Step 5: Evaluate f(x,y)f(x, y) at the critical points

Now, evaluate the function f(x,y)=6x+y+4f(x, y) = 6x + y + 4 at the critical points:

  1. At (16,6)\left( \frac{1}{\sqrt{6}}, \sqrt{6} \right): f(16,6)=6×16+6+4=6+6+4=26+4f\left( \frac{1}{\sqrt{6}}, \sqrt{6} \right) = 6 \times \frac{1}{\sqrt{6}} + \sqrt{6} + 4 = \sqrt{6} + \sqrt{6} + 4 = 2\sqrt{6} + 4
  2. At (16,6)\left( -\frac{1}{\sqrt{6}}, -\sqrt{6} \right): f(16,6)=6×(16)+(6)+4=66+4=26+4f\left( -\frac{1}{\sqrt{6}}, -\sqrt{6} \right) = 6 \times \left( -\frac{1}{\sqrt{6}} \right) + \left( -\sqrt{6} \right) + 4 = -\sqrt{6} - \sqrt{6} + 4 = -2\sqrt{6} + 4

Step 6: Determine the nature of the extrema

  • At (16,6)\left( \frac{1}{\sqrt{6}}, \sqrt{6} \right), f(x,y)=26+4f(x, y) = 2\sqrt{6} + 4
  • At (16,6)\left( -\frac{1}{\sqrt{6}}, -\sqrt{6} \right), f(x,y)=26+4f(x, y) = -2\sqrt{6} + 4

Since the function f(x,y)=6x+y+4f(x, y) = 6x + y + 4 is linear, it does not have global extrema on the entire plane, but the constraint xy=1xy = 1 restricts it to a hyperbola. Therefore, the values 26+42\sqrt{6} + 4 and 26+4-2\sqrt{6} + 4 are local extrema, but they are not necessarily global.

Conclusion:

  • The maximum value is 26+42\sqrt{6} + 4
  • The minimum value is 26+4-2\sqrt{6} + 4

Do you want further details or have any questions?

Here are 5 related questions to expand on this topic:

  1. What are the conditions for global extrema in Lagrange multiplier problems?
  2. How does the method of Lagrange multipliers apply to higher dimensions?
  3. Can Lagrange multipliers be used with inequality constraints?
  4. What role does the constraint play in determining the extrema?
  5. How does linearity in f(x,y)f(x, y) influence the outcome of Lagrange multiplier problems?

Tip: Always check the nature of the constraint when solving Lagrange multiplier problems, as it can restrict the domain of the function and affect whether the extrema are local or global.

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Math Problem Analysis

Mathematical Concepts

Lagrange Multipliers
Constrained Optimization
Partial Derivatives
Critical Points

Formulas

∇f(x, y) = λ∇g(x, y)
Gradient of f(x, y): (6, 1)
Gradient of g(x, y) = xy - 1: (y, x)
Solving system: λ = 6/y = 1/x
Constraint: xy = 1

Theorems

Lagrange Multiplier Theorem
Critical Points Analysis

Suitable Grade Level

Undergraduate - Calculus