First derivative test
In calculus, the first derivative test uses the first derivative of a function to determine whether a given critical point of a function is a local maximum, a local minimum, or neither. If f is a function, then f has a relative maximum at x = c if for all points a near c, f(c) > f(a), and f has a relative minimum at x = c if for all points a near c, f(c) < f(a).
First derivative test
Let f be a differentiable function with f'(c) = 0, then
Suppose f(x) is continuous at a stationary point x0.
If f'(x) > 0 on an open interval extending left from x0 and f'(x) < 0 on an open interval extending right from x0, then f(x) has a relative maximum (possibly a global maximum) at x0. If f'(x) < 0 on an open interval extending left from x0 and f'(x) > 0 on an open interval extending right from x0, then f(x) has a relative minimum (possibly a global minimum) at x0.
If f'(x) has the same sign on an open interval extending left from x0 and on an open interval extending right from x0, then f(x) has an inflection point at x0.
This is a method for determining whether an inflection point is a minimum, maximum, or neither.
If the derivative of a function changes sign around a critical point, the function is said to have a local (relative) extremum at that point. If the derivative changes from positive (increasing function) to negative (decreasing function), the function has a local (relative) maximum at the critical point. If, however, the derivative changes from negative (decreasing function) to positive (increasing function), the function has a local (relative) minimum at the critical point. When this technique is used to determine local maximum or minimum function values, it is called the First Derivative Test for Local Extrema. Note that there is no guarantee that the derivative will change signs, and therefore, it is essential to test each interval around a critical point.
Consider the example :
f(x) = x4 - 8 x2 we have to find all local extrema for the function.
f(x) has critical points at x = -2, 0, 2. Because f'(x) changes from negative to positive around -2 and 2, f has a local minimum at (-2,-16) and (2,-16). Also, f'(x) changes from positive to negative around 0, and hence, f has a local maximum at (0,0).
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