Slope and Extreme Points

A continuous function \(f\) is increasing on an interval if for every two numbers \(a\) and \(b\) in that interval for which \(a \lt b\) we have \(f(a) \lt f(b).\) Since the derivative \(f'(c)\) is the rate at which \(f\) is changing at \(x=c,\) we can also conclude that \(f\) is increasing on an interval if \(f'(c) \gt 0\) for all \(c\) in that interval. Similarly a function \(f\) is decreasing on an interval if for every two numbers \(a\) and \(b\) in that interval for which \(a \lt b\) we have \(f(a) \gt f(b),\) or \(f'(c) \lt 0\) for all \(c\) in that interval. I.e. positive slope corresponds to a function increasing and a negative slope correspond to a function decreasing.

A function \(f\) has a relative (local) minimum at \(x = c\) if \(f(c) \lt f(x)\) for all \(x\) around \(c,\) and \(f(c)\) is the minimum value. Similarly a function \(f\) has a relative (local) maximum at \(x = c\) if \(f(c) \gt f(x)\) for all \(x\) around \(c.\) and \(f(c)\) is the maximum value. A relative minimum or maximum is generally referred to as a relative (local) extremum (pl. extrema), and the point \(\bigl(c, f(c)\bigr)\) is called an extreme point. Sometimes these are also referred to as “turning points”. Fact: if \(f(c)\) is a relative extremum of \(f\), then either \(f'(c) = 0\) or \(f'(c)\) doesn’t exist. Due to this fact, every value \(c\) at which either \(f'(c) = 0\) or \(f'(c)\) doesn’t exist is a candidate to be a relative extremum of \(f.\) Such candidate values are typically referred to as critical values of \(f.\) A critical value \(c\) will sincerely correspond to an extrema of \(f\) if \(f'\) changes sign (\(\pm\)) on either side of \(c:\) if \(f'(x) \lt 0\) for \(x \lt c\) and \(f'(x) \gt 0\) for \(x \gt c\) then \(f\) has a relative minimum at \(x = c,\) and similarly if \(f'(x) \gt 0\) for \(x \lt c\) and \(f'(x) \lt 0\) for \(x \gt c\) then \(f\) has a relative maximum at \(x = c.\) This analysis is typically referred to as the first-derivative test.