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Understanding the Extreme Value Theorem

Oct 8, 2024

Lecture Notes on Extreme Value Theorem

Introduction

  • Extreme Value Theorem: A key theorem in calculus regarding continuous functions.
  • Purpose: Determines conditions under which a function is guaranteed to have a maximum and minimum.
  • Limitation: Does not provide the method to calculate these extrema, only assures their existence.

Definitions

  • Maximum of a Function

    • A function has a maximum at a point if, at that point, the function's value, say ( f(c) ), is greater than or equal to its value at any other point in the domain.
    • Formal Definition: There exists a ( c ) in the domain ( I ) such that for all ( x ) in ( I ), ( f(x) \leq f(c) ).
    • Note: The maximum is the value ( f(c) ), occurring at input ( c ).
  • Minimum of a Function: Similar definition structure to the maximum.

Understanding Extrema Through Examples

  • Example 1: Function with a maximum inside an interval.
  • Example 2: Function with a maximum at an endpoint.
  • Example 3: Function without a maximum due to an open interval.
  • Example 4: Function without a maximum, with an unbounded domain and vertical asymptote.

Observations from Examples

  • Closed and Bounded Intervals: Functions on closed intervals with both endpoints included tend to have maxima and minima.
  • Open Intervals and Discontinuities: Functions on open intervals or with discontinuities may lack maxima or minima.

Extreme Value Theorem

  • Statement: If ( f ) is continuous on a closed and bounded interval ([a, b]), then ( f ) must have both a maximum and a minimum.
  • Proof: Although not covered, the theorem's proof is noted as complex and typically covered in advanced analysis courses.

Challenge

  • Construct a Function:
    • That is continuous on an interval missing one endpoint (e.g., excluding 0, including 1).
    • Does not have a maximum or minimum.
    • Hint: Visualize a graph, then derive an equation.

Conclusion

  • The theorem offers a foundational understanding that helps predict the behavior of continuous functions on closed intervals.
  • Practical implications in various fields of mathematics and applied sciences.