The Extreme Value Theorem is a game-changer for finding the highest and lowest points of continuous functions. It guarantees these points exist on closed intervals, making it possible to solve real-world problems like maximizing profit or optimizing designs.
The closed interval method is a powerful tool that puts the Extreme Value Theorem into action. By checking critical points and endpoints, we can pinpoint exactly where a function reaches its peaks and valleys, giving us crucial insights for practical applications.
The Closed Interval Method and the Extreme Value Theorem
Extreme Value Theorem implications
- States continuous function on closed interval attains absolute maximum value and absolute minimum value at some numbers and in
- Guarantees existence of absolute extrema for continuous functions on closed intervals (sine function)
- Allows use of closed interval method to find absolute extrema
- Provides foundation for solving optimization problems involving continuous functions on closed intervals (maximizing profit)

Steps of closed interval method
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Ensure function is continuous on closed interval
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Find all critical numbers of in interval
- Critical numbers are values of where or does not exist (cusps, discontinuities)
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Evaluate at each critical number found in Step 2
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Evaluate at endpoints of interval, and
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Compare all function values obtained in Steps 3 and 4
- Largest value is absolute maximum (global maximum)
- Smallest value is absolute minimum (global minimum)

Absolute extrema on closed intervals
- Given continuous function on closed interval , follow steps of closed interval method
- Find all critical numbers of in
- Evaluate at each critical number and endpoints and
- Compare function values to determine absolute maximum and minimum
- Example: Find absolute extrema of on interval
- Critical numbers:
- Evaluate at critical numbers and endpoints:
- Compare values to find absolute maximum and minimum
Optimization with closed interval method
- Optimization problems involve finding maximum or minimum value of function subject to constraints
- Steps to solve optimization problems using closed interval method
- Identify objective function (function to be maximized or minimized)
- Determine constraints on variables (domain restrictions)
- Express objective function in terms of single variable
- Find closed interval over which objective function is defined
- Apply closed interval method to find absolute extrema of objective function on closed interval
- Interpret results in context of original problem
- Example: Rectangular garden has perimeter of 200 ft. Find dimensions that maximize area.
- Objective function: , where is width and is length
- Constraints:
- Closed interval:
- Apply closed interval method to find maximum area