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Regular Surface definition

  1. Sep 17, 2011 #1
    Hello everyone,

    I'm just getting into differential geometry at the moment and I am confused about one of the conditions in the definition of a regular surface. It is the regularity condition. I'll include the whole definition here for the sake of completeness.

    A subset [itex] S\subset \mathbb{R}^3 [/itex] is a regular surface if, for each [itex]p\in S[/itex], there exists a neighborhood [itex]V[/itex] in [itex]\mathbb{R}^3[/itex] and a map [itex]\mathbf{x}:U\rightarrow V\cap S[/itex] of an open set [itex]U\subset\mathbb{R}^2[/itex] onto [itex]V\cap S\subset\mathbb{R}^3[/itex] such that

    1. [itex]\mathbf{x}[/itex] is infinitely differentiable.

    2. [itex]\mathbf{x}[/itex] is a homeomorphism.

    3. (The regularity condition.) For each [itex]q\in U[/itex], the differential [itex]d\mathbf{x}_q:\mathbb{R}^2\rightarrow\mathbb{R}^3[/itex] is one-to-one.

    (From Differential Geometry of Curves and Surfaces, Do Carmo, 1976)

    Now, I feel like I must have missed something at some point prior to studying this, because I really am not sure what the differential [itex]d\mathbf{x}_q[/itex] represents or how to calculate it. The instructor of the class gave an equivalent condition that makes more sense, but for homework it is necessary to prove that condition and so I have to understand what the third condition means. Can anyone help me here?
     
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  3. Sep 17, 2011 #2

    lavinia

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    X is a vector of three functions. At each point in U, each of these three functions has a differential. dXq is the vector of these differentials at the point,q.
     
  4. Sep 17, 2011 #3
    All right, and thanks for your response, but what is the differential of each function? Is it equivalent to the total derivative? Also, what does one-to-oneness imply for [itex]d\mathbf{x}_q[/itex]? Is it the regular function definition for one-to-one?
     
  5. Sep 17, 2011 #4

    lavinia

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    the differential of a differentiable function maps tangent vector to tangent vectors. Thinking of derivatives as maps on tangent spaces is essential for understanding multivariate calculus. In standard Cartesian coordinates the differential is just the Jacobian matrix viewed as a linear map.
     
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