Comparing max/min rules for functions y = f (x) and z = f (x, y) k k k k f has an absolute max at a in D if f (x) ≤ f (a) k for all x in D. (Absolute min similarly.) k k f has a relative max at a in D if there is an h > 0 k such that for all |x − a| < h, x is in D k and f (x) ≤ f (a). (Relative min similarly.) k k f has a critical point at a if k either f 0 (a) = 0 or f 0 (a) DNE. k k k If f has a relative max or min at a, k then f has a critical point at a. k k NOT every critical point is a relative max/min. k Example: y = x3 at the origin. k k Second Derivative Test: If f 0 (a) = 0 and if k f 00 is continuous at a, k then the Second Derivative Test can (sometimes) k classify this critical point as a relative max k or relative min. k k If D is a closed interval, then f will have k an absolute max and an absolute min on D. k Furthermore, each of these either occurs at an k endpoint of D or is a local max/min k (and thus a critical point). k k First Derivative Test. Let f 0 (a) = 0. If f 0 changes k sign from − to + as x passes a, then f has a k local min at a. Similarly, if f 0 changes k sign from + to − as x passes a, then f has a k local max at a. k k k k k k k k k k k k k k y = f (x), continuous on domain D of numbers: z = f (x, y), continuous on domain D of points in the plane: f has an absolute max at (a, b) in D if f (x, y) ≤ f (a, b) for all (x, y) in D. (Absolute min similarly.) f has a relative max at (a, b) in D if there is an h > 0 such that for all k(x, y) − (a, b)k < h, (x, y) is in D and f (x, y) ≤ f (a, b). (Relative min similarly.) f has a critical point at (a, b) if either fx (a, b) = fy (a, b) = 0 or at least one of these partial derivatives DNE. If f has a relative max or min at (a, b), then f has a critical point at (a, b). NOT every critical point is a relative max/min. Example: z = x2 − y 2 at the origin. (Saddle point.) Second Derivative Test: If fx (a, b) = fy (a, b) = 0 and if fxx , fxy , fyx , fyy are all continuous at (a, b), then the Second Derivative Test can (sometimes) classify this critical point as a relative max, relative min, or saddle point. If D is closed and bounded, then f will have an absolute max and an absolute min on D. Furthermore, each of these either occurs at a boundary point of D or is a local max/min (and thus a critical point). There is no First Derivative Test.