(B) Let f be a function of x and y with fx (xo, Yo)= 0 and fy(xo, Yo) = 0 for some (xo, Yo) € dom f. Suppose that the second-order partial derivatives of f are continuous on a disk centered at (xo, Yo). Let D(xo. Yo) =fxx (xo. Yo) fyy (xo. Yo) - [fxy(xo. Yo)]². 1. If D (a, b)> 0 and fxx(a, b)> 0 then (a, b) is a local minimum of f.

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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(B) Let f be a function of x and y with fx (xo, Yo) = 0 and fy (xo, Yo) = 0 for some (xo, Yo) €
dom f. Suppose that the second-order partial derivatives of f are continuous on a disk centered at
(x, yo). Let
D(xo. Yo) = fxx (xo. Yo) fyy(xo, Yo) - [fxy (xo, Yo)]².
1. If D(a, b) > 0 and fxx(a, b) > 0 then (a, b) is a local minimum of f.
2. If D (a, b) > 0 and fxx(a, b) < 0 then (a, b) is a local maximum of f.
3. If D (a, b) < 0 then (a, b) is a saddle point of f.
4. If D (a, b) = 0 then the point (a, b) could be any of a minimum, maximum, or saddle point
(the test is inconclusive) [1].
The goal of this study is to show alternative condition/s when the second partial derivative test
asserts D(a, b) = 0 or an inconclusive result. This will lead to a result of either a local minimum
of for local maximum of for saddle point of f.
Transcribed Image Text:(B) Let f be a function of x and y with fx (xo, Yo) = 0 and fy (xo, Yo) = 0 for some (xo, Yo) € dom f. Suppose that the second-order partial derivatives of f are continuous on a disk centered at (x, yo). Let D(xo. Yo) = fxx (xo. Yo) fyy(xo, Yo) - [fxy (xo, Yo)]². 1. If D(a, b) > 0 and fxx(a, b) > 0 then (a, b) is a local minimum of f. 2. If D (a, b) > 0 and fxx(a, b) < 0 then (a, b) is a local maximum of f. 3. If D (a, b) < 0 then (a, b) is a saddle point of f. 4. If D (a, b) = 0 then the point (a, b) could be any of a minimum, maximum, or saddle point (the test is inconclusive) [1]. The goal of this study is to show alternative condition/s when the second partial derivative test asserts D(a, b) = 0 or an inconclusive result. This will lead to a result of either a local minimum of for local maximum of for saddle point of f.
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