Key Points

Application of Derivatives

12 Sections
  • Derivative as a Rate of Change

    The derivative dydx\frac{dy}{dx} represents the instantaneous rate of change of a quantity yy with respect to another quantity xx. For a function y=f(x)y = f(x), the rate of change at a specific point x=x0x=x_0 is given by the value of the derivative at that point, f(x0)f'(x_0).

  • Related Rates using the Chain Rule

    If two variables xx and yy both vary with respect to a third variable, typically time tt, their rates of change are related by the Chain Rule. The formula is dydt=dydx×dxdt\frac{dy}{dt} = \frac{dy}{dx} \times \frac{dx}{dt}, which allows finding one rate when others are known.

  • Condition for Increasing Functions

    A function f(x)f(x) is increasing on an interval (a,b)(a, b) if its derivative f(x)0f'(x) \geq 0 for all xx in that interval. The function is strictly increasing if f(x)>0f'(x) > 0 for all xx in (a,b)(a, b).

  • Condition for Decreasing Functions

    A function f(x)f(x) is decreasing on an interval (a,b)(a, b) if its derivative f(x)0f'(x) \leq 0 for all xx in that interval. The function is strictly decreasing if f(x)<0f'(x) < 0 for all xx in (a,b)(a, b).

  • Finding Intervals of Increase or Decrease

    To find the intervals where a function is increasing or decreasing, first find the critical points by solving f(x)=0f'(x) = 0. These points divide the number line into intervals. Test the sign of f(x)f'(x) in each interval to determine the function's behavior.

  • Equation of a Tangent to a Curve

    The slope of the tangent to a curve y=f(x)y = f(x) at a point (x1,y1)(x_1, y_1) is given by the derivative m=f(x1)m = f'(x_1). The equation of the tangent line is then found using the point-slope form: yy1=m(xx1)y - y_1 = m(x - x_1).

  • Equation of a Normal to a Curve

    The normal line is perpendicular to the tangent at the point of contact. Its slope is the negative reciprocal of the tangent's slope, mnormal=1f(x1)m_{\text{normal}} = -\frac{1}{f'(x_1)}, provided f(x1)0f'(x_1) \neq 0. The equation is yy1=1f(x1)(xx1)y - y_1 = -\frac{1}{f'(x_1)}(x - x_1).

  • Critical Points for Maxima and Minima

    A critical point of a function f(x)f(x) is a point cc in its domain where either the derivative is zero, f(c)=0f'(c) = 0, or the derivative is not defined. Local maxima or minima can only occur at these critical points.

  • First Derivative Test for Local Extrema

    At a critical point cc: if f(x)f'(x) changes sign from positive to negative, cc is a point of local maximum. If f(x)f'(x) changes sign from negative to positive, cc is a point of local minimum. If there is no sign change, it is a point of inflection.

  • Second Derivative Test for Local Extrema

    Let cc be a critical point where f(c)=0f'(c) = 0. If the second derivative f(c)<0f''(c) < 0, then cc is a point of local maximum. If f(c)>0f''(c) > 0, then cc is a point of local minimum. If f(c)=0f''(c) = 0, the test is inconclusive.

  • Finding Absolute Maximum and Minimum Values

    To find the absolute maximum and minimum of a function f(x)f(x) on a closed interval [a,b][a, b], find all critical points in (a,b)(a, b). Evaluate f(x)f(x) at these critical points and also at the endpoints aa and bb. The largest of these values is the absolute maximum, and the smallest is the absolute minimum.

  • Marginal Cost and Marginal Revenue

    In economics, if C(x)C(x) is the total cost of producing xx units, the marginal cost is MC=dCdxMC = \frac{dC}{dx}. If R(x)R(x) is the total revenue from selling xx units, the marginal revenue is MR=dRdxMR = \frac{dR}{dx}.

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