Properties of Smooth Vector Field

Calculus Level pending

Any smooth vector field X : R n R n X:\mathbb R^n\to\mathbb R^n yields a map X ~ : C ( R n ) C ( R n ) , \tilde X:C^\infty(\mathbb R^n)\to C^\infty(\mathbb R^n), defined by ( X ~ f ) ( p ) = D X ( p ) f ( p ) = lim t 0 f ( p + t X ( p ) ) f ( p ) t . (\tilde Xf)(p)=D_{X(p)}f(p)=\lim_{t\to 0}\frac {f(p+tX(p))-f(p)}t. This operation is linear over R \mathbb R and satisfies the product rule: X ~ ( f g ) = X ~ ( f ) g + f X ~ ( g ) . \tilde X(fg)=\tilde X(f)g+f\tilde X(g). Conversely, if a map D : C ( R n ) C ( R n ) D:C^\infty(\mathbb R^n)\to C^\infty(\mathbb R^n) is linear over R \mathbb R and satisfies the following product rule: D ( f g ) = D ( f ) g + f D ( g ) , D(fg)=D(f)g+fD(g), must D D be X ~ \tilde X for certain smooth vector field X X ?

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1 solution

Otto Bretscher
Nov 16, 2018

It is a well-known fact from vector calculus that ω ( f ) = i = 1 n f x i ω ( x i ) \omega(f)=\sum_{i=1}^{n}\frac{\partial f}{\partial x_i}\omega(x_i) for any linear operator ω \omega on C ( R n ) C^{\infty}(\mathbb{R}^n) that satisfies the product rule. But this means that ω ( f ) = f X = X ~ ( f ) \omega(f)=\nabla f \cdot X=\tilde X(f) , the derivative in the direction of X X , where X X is the vector field whose component functions are the ω ( x i ) \omega(x_i) for i = 1 , . . n i=1,..n .

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