Critical Points & Extrema

A function \(f\) has a relative (local) minimum at \(x = c\) if \({f(c) \leq f(x)}\) for all \(x\) in an interval around \(c;\) the number \(f(c)\) is the value of that relative (local) minimum. If \({f(c) \leq f(x)}\) for all \(x\) in the domain of \(f,\) the number \(f(c)\) is called the absolute (global) minimum. Relative and absolute maximum values are defined similarly, and a minimum or maximum value is generally referred to as an extremum (pl. extrema).

Fermat’s Theorem – If \(f\) has an extremum at \(x=c\) and \(f'(c)\) exists, then \(f'(c)=0.\)

Such a number \(c\) in the domain of \(f\) at which either \(f'(c) = 0\) or \(f'(c)\) doesn’t exist is called a critical number, and the point \(\bigl(c, f(c)\bigr)\) on the graph of \(f\) is the critical point corresponding to \(c.\) A function’s collection of critical points serves as a list of all possible candidates for locations of the function’s extrema.


Extreme Value Theorem – If \(f\) is continuous on a closed interval \([a,b],\) there must exist an absolute extremum of \(f\) on that interval.

Rolle’s Theorem – If \(f\) is continuous on \([a,b]\) and differentiable on \((a,b),\) and \(f(a) = f(b),\) there must exist \(c\) in \((a,b)\) such that \(f'(c)=0.\)

Mean Value Theorem – If \(f\) is continuous on \([a,b]\) and differentiable on \((a,b),\) there must exist \(c\) in \((a,b)\) such that \( f'(c) = \frac{f(b)-f(a)}{b-a}\,.\)