Math Problem Statement
Find the exact extreme values of the function z = f(x, y) = 43 x + 14 y + 70 subject to the following constraints: y >= 0 y <= 16 - x^2 Complete the following: f_(min) = -102 at (x,y) = (-4,0)
f_(max) =
Solution
To find the maximum of the function subject to the constraints and , we will proceed by checking the critical points and the boundary of the region defined by these constraints.
Step 1: Analyze the constraint
The constraint defines a region bounded by the parabola , and since , we are only interested in the part of the parabola where , or , meaning .
Thus, we are working within the following region:
Step 2: Evaluate the function along the boundaries
Along :
When , the function simplifies to:
Now, evaluate this for and :
-
At :
-
At :
Thus, on the lower boundary , the function reaches a minimum value of at and a maximum value of at .
Along :
Now, substitute into the function:
We need to find the critical points by taking the derivative of this expression with respect to and setting it equal to zero:
Setting , we get:
Now, evaluate at :
Thus, at .
Step 3: Conclusion
The maximum value occurs along the boundary when , and the approximate maximum value is:
Summary:
- at
- at
Would you like more details or have any questions?
Related Questions:
- How do we verify whether a critical point is a maximum or a minimum in constrained optimization?
- Can we use Lagrange multipliers for this problem? How would that work?
- What would the behavior of the function be if we changed the constants in the function ?
- How do we interpret the constraint geometrically?
- Could we solve this problem using a graphical method?
Tip:
When solving optimization problems with constraints, always check the boundary conditions as the extrema often occur on these boundaries.
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Math Problem Analysis
Mathematical Concepts
Multivariable Calculus
Constrained Optimization
Parabolic Boundary
Formulas
z = 43x + 14y + 70
y <= 16 - x^2
First derivative test: dz/dx = 43 - 28x
Theorems
Optimization on Boundary
Critical Points of Multivariable Functions
Suitable Grade Level
College-Level Calculus
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