Applications of the Derivative

Applications of the Derivative

Calculus is not just about computing derivatives; it's about using them to understand how quantities change.

Tangent and Normal Lines

The tangent line to a curve y=f(x)y = f(x) at x=cx = c touches the curve at that point and has the same slope, m=f(c)m = f'(c).

Equation of the tangent line:

yf(c)=f(c)(xc)y - f(c) = f'(c)(x - c)

The normal line is perpendicular to the tangent line at the point of tangency. Its slope is 1/f(c)-1/f'(c).

Equation of the normal line:

yf(c)=1f(c)(xc)y - f(c) = -\frac{1}{f'(c)}(x - c)

Rates of Change and Rectilinear Motion

If s(t)s(t) represents the position of an object moving along a straight line at time tt:

  • Velocity: v(t)=s(t)v(t) = s'(t) (Instantaneous rate of change of position)
  • Acceleration: a(t)=v(t)=s(t)a(t) = v'(t) = s''(t) (Rate of change of velocity)
  • Speed: v(t)|v(t)|
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Optimization: Maxima and Minima

One of the most powerful applications is finding optimal values (maximum profit, minimum cost, strongest beam).

  1. Critical Points: Values of cc where f(c)=0f'(c) = 0 or f(c)f'(c) is undefined.
  2. First Derivative Test: Determines if a critical point is a relative maximum or minimum by checking sign changes of f(x)f'(x).
    • Positive to Negative \to Maximum
    • Negative to Positive \to Minimum
  3. Second Derivative Test: Uses concavity.
    • f(c)>0f''(c) > 0 (Concave Up) \to Minimum
    • f(c)<0f''(c) < 0 (Concave Down) \to Maximum
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Curve Sketching

Using derivatives, we can determine the shape of a graph without plotting points manually.

  • Increasing/Decreasing: Sign of f(x)f'(x).
  • Concavity: Sign of f(x)f''(x).
  • Inflection Points: Points where concavity changes (f(x)=0f''(x) = 0 or undefined).

L'Hopital's Rule

Used to evaluate limits of indeterminate forms 0/00/0 or /\infty/\infty.

limxcf(x)g(x)=limxcf(x)g(x)\lim_{x \to c} \frac{f(x)}{g(x)} = \lim_{x \to c} \frac{f'(x)}{g'(x)}

Provided the limit on the right exists.