Skip to main content
뒤로

The Second Derivative Test definitions

컨트롤 버튼이 '내비게이션' 모드로 변경되었습니다.
1/14
  • Second Derivative Test
    A method using the sign of the second derivative at a critical point to determine if it is a local maximum or minimum.
  • Concavity
    Describes whether a graph bends upward or downward, determined by the sign of the second derivative.
  • Critical Point
    A value where the first derivative equals zero, serving as a candidate for local extrema.
  • Local Maximum
    A point where the function value is higher than all nearby points, indicated by a negative second derivative.
  • Local Minimum
    A point where the function value is lower than all nearby points, indicated by a positive second derivative.
  • First Derivative
    Represents the slope of the function and is used to locate critical points by setting it equal to zero.
  • Second Derivative
    Measures the rate of change of the first derivative and reveals the function's concavity.
  • Sign of the Second Derivative
    Indicates whether a function is concave up or down at a critical point, guiding the classification of extrema.
  • Power Rule
    A differentiation technique used to find derivatives of polynomial terms efficiently.
  • Local Extrema
    Collective term for local maximum and minimum points within a function's domain.
  • First Derivative Test
    An alternative method for classifying critical points when the second derivative is zero or undefined.
  • Optimization
    The process of finding maximum or minimum values of a function, often applied in economics and calculus.
  • Marginal Analysis
    A technique in economics using derivatives to assess changes in cost or benefit with respect to small changes in input.
  • Factoring
    A method for simplifying derivatives by expressing them as products, aiding in solving equations for critical points.