MHB The Jacobian and area differential

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The discussion centers on the definition of differentiability for a coordinate transformation T(u) at a point p, involving the matrix J(p) as the total derivative. The limit expression provided indicates the conditions under which T(u) is differentiable. The symbol || || represents the vector norm, typically interpreted as the length of the vector. In this context, it is defined as the square root of the sum of the squares of its components. Understanding this notation is crucial for grasping the concept of differentiability in the context of the Jacobian and area differentials.
WMDhamnekar
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I don't understand the following definition. If we let $u=\langle u,v \rangle$ , $p=\langle p,q\rangle,$ $x=\langle x,y \rangle$,then (x,y)=T(u,v) is given in vector notation by

x=T(u). A coordinate transformation T(u) is differentiable at a point p , if there exists a matrix J(p) for which $\lim_{u\to p}\frac {||T(u)-T(p)-J(p)(u-p)||}{||u-p||}=0.$when it exists, J(p) is the total derivative of T(u). What does this symbol || || indicate?
 
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Dhamnekar Winod said:
I don't understand the following definition. If we let $u=\langle u,v \rangle$ , $p=\langle p,q\rangle,$ $x=\langle x,y \rangle$,then (x,y)=T(u,v) is given in vector notation by

x=T(u). A coordinate transformation T(u) is differentiable at a point p , if there exists a matrix J(p) for which $\lim_{u\to p}\frac {||T(u)-T(p)-J(p)(u-p)||}{||u-p||}=0.$when it exists, J(p) is the total derivative of T(u). What does this symbol || || indicate?


Hi Dhamnekar Winod,

The notation $\|\mathbf x\|$ means the vector norm of $\mathbf x$.
If nothing else is specified it is the usual length of the vector and:
$$\|\mathbf x\| = \sqrt{x^2+y^2}$$