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Unformatted text preview: Notes by David Groisser for MAS 4105, Copyright c 1998 Jacobians, Directional Derivatives, and the Chain Rule. Suppose f 1 ,f 2 ,...f q are functions of p variables x 1 ,...,x p ; thus for 1 i q , f i ( x 1 ,x 2 ,...,x p ) is some real number. For a given point x = ( x 1 ,x 2 ,...,x p ) R p , we can assemble the numbers f 1 ( x ) ,f 2 ( x ) ,...,f q ( x ) into a qcomponent column vector f(x) . (We will also write x as a column vector below.) Thus we obtain a map f : R p R q . (If one or more of the f i s is not defined at every point of R p , we actually get a function whose domain is just a subset of R p , not all of R p .) This is an important and sophisticated perspective on which much of advanced calculus is based. For what we do below, it is best to write points in R p and R q as column vectors, rather than row vectors. We call f : R p R q differentiable at a point a R p if all the partial derivatives f i /x j (1 i q, 1 j p ) exist at x = a and are continuous there. (Technically this definition is not quite right, but it will suffice for us.) At each such a , we define a q p matrix J f ( a ), called the...
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This note was uploaded on 12/27/2011 for the course MAS 4105 taught by Professor Rudyak during the Spring '09 term at University of Florida.
 Spring '09
 RUDYAK

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