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 subject to the constraint using the method of Lagrange multipliers, we follow these steps:
Step 1: Set up the Lagrange multiplier equations
We introduce a Lagrange multiplier and set up the system of equations given by the gradients of the function and the constraint: This gives the following system:
- The gradient of is
- The gradient of is
Thus, the Lagrange multiplier equations are: This produces the two equations:
Step 2: Solve for
From the first equation, solve for : From the second equation: Equating the two expressions for , we get: Cross-multiply:
Step 3: Use the constraint
We now use the constraint . Substitute into the constraint:
Step 4: Find corresponding values of
For , we have: For , we have:
Step 5: Evaluate at the critical points
Now, evaluate the function at the critical points:
- At :
- At :
Step 6: Determine the nature of the extrema
- At ,
- At ,
Since the function is linear, it does not have global extrema on the entire plane, but the constraint restricts it to a hyperbola. Therefore, the values and are local extrema, but they are not necessarily global.
Conclusion:
- The maximum value is
- The minimum value is
Do you want further details or have any questions?
Here are 5 related questions to expand on this topic:
- What are the conditions for global extrema in Lagrange multiplier problems?
- How does the method of Lagrange multipliers apply to higher dimensions?
- Can Lagrange multipliers be used with inequality constraints?
- What role does the constraint play in determining the extrema?
- How does linearity in 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
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