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  3. Chapter 5: Optimization
  4. Optimization functions of one variable
  5. Monotonicity condition extremum

Monotonicity condition extremum

Introduction: A point $x$ such that $y'(x)=0$ is called a stationary point of the function $y(x)$.

Theorem: Assume $c$ is a stationary point of the function $y(x)$. It holds that:
  • if $y'(x)< 0$ for each $x<c$ in the neighborhood of $c$ and $y'(x)> 0$ for each $x>c$ in the neighborhood of $c$, then $y(c)$ is a minimum
  • if $y'(x)> 0$ for each $x< c$ in the neighborhood of $c$ and $y'(x)< 0$ for each $x>c$ in the neighborhood of $c$, then $y(c)$ is a maximum.
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Wiskunde Mathematics for business economics leeromgeving

 

  • Chapter 1: Functions of one variable
  • Chapter 2: Differentiation of functions of one variable
  • Chapter 3: Functions of two variables
  • Chapter 4: Differentiation of functions of two variables
  • Chapter 5: Optimization
    • Optimization functions of one variable
      • Monotonicity
      • Monotonicity and derivative
      • Minimum/maximum
      • Stationary point
      • First-order condition extremum
      • Monotonicity condition extremum
        • Example (film)
        • Exercise 1
        • Exercise 2
        • Exercise 3
        • Exercise 4
      • Alternative monotonicity condition extremum
      • Second-order derivative
      • Second-order condition extremum
    • Applications 1
    • Optimization functions of two variables
    • Applications 2
    • Optimization constrained extremum problems
    • Applications 3
    • Optimization convex/concave functions
  • Chapter 6: Areas and integrals

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