Let be a function defined in an open interval containing . The derivative of a function at is denoted by and is defined by:

Differentiation Rules:

  • Constant rule
  • Power rule
  • Sum rule
  • Difference rule
  • Constant multiple rule
  • Product rule
  • Quotient rule

Chain Rule If we have then

Derivatives of Exponentials & Logarithms

Numerical Differentiation

  • One-sided (forward) difference:

  • One-sided (backward) difference:

  • The central difference:

Fermat’s Theorem

If has a local extremum at and is differentiable at , then .

Extreme Value Theorem: A continuous function over a closed, bounded interval has an absolute maximum and minimum. Each extremum occurs at a critical point or an endpoint.

Rolle’s Theorem

Let be a continuous function over the closed interval and differentiable over the open interval such that . There then exists at least one such that .

Mean Value Theorem

Let be continuous over the closed interval and differentiable over the open interval . Then, there exists at least one point , such that:

  1. If for all x$$\epsilon (a,b), then is an increasing function over
  2. If for all x$$\epsilon (a,b), then is an decreasing function over

Convex vs Concave Functions

FeatureConvexConcave
Visual ShapeCup / Smile ()Cap / Frown ()
Midpoint TestLine is above the curveLine is below the curve
OptimizationEasy to find the minimumEasy to find the maximum
Second Derivative