Extreme Values Let f (x,y) be defined on a region R containing P(x 0,y 0 ): P is a relative max of f if f (x,y) ≤ f (x 0,y 0 ) for all (x,y) on an open.

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Presentation transcript:

Extreme Values Let f (x,y) be defined on a region R containing P(x 0,y 0 ): P is a relative max of f if f (x,y) ≤ f (x 0,y 0 ) for all (x,y) on an open disk containing P. P is a relative min of f if f (x,y) ≥ f (x 0,y 0 ) for all (x,y) on an open disk containing P.

(x 0,y 0 ) is a critical point of f if either  f (x 0,y 0 ) = 0 or f x (x 0,y 0 ) or f y (x 0,y 0 ) is undefined. Thm. If point P is a relative extrema, then it is a critical point.

Ex. Find and classify the relative extrema of

An easier way to classify critical points is the Second Partial Derivatives Test. Thm. Second Partial Derivatives Test Let f (x,y) have continuous second partial derivatives on an open region containing (a,b) such that  f (a,b) = 0. Define d = f xx (a,b) f yy (a,b) – [ f xy (a,b)] 2 1) If d > 0 and f xx (a,b) < 0, then (a,b) is a rel. max. 2) If d > 0 and f xx (a,b) > 0, then (a,b) is a rel. min. 3) If d < 0, then (a,b) is a saddle point. 4) If d = 0, then the test fails.

Ex. Find and classify the relative extrema of

Ex. Find the shortest distance from the point (1,0,-2) to the plane x + 2y + z = 4.

Ex. A rectangular box without a lid is made from 12 m 2 of cardboard. Find the maximum volume.

To find the absolute max/min values of f on a closed region D: 1) Find the value of f at any critical point that lie in D. 2) Find the extreme values of f on the boundary of D.  The largest value is the absolute max., the smallest value is the absolute min.

Ex. Find the extreme values of f (x,y) = x 2 – 2xy + 2y on the rectangle D = {(x,y) | 0 ≤ x ≤ 3, 0 ≤ y ≤ 2}.

Ex. Find the extreme values of f (x,y) = 1 + 4x – 5y on the triangular region D with vertices (0,0), (2,0), and (0,3).