5.4: Linear Independence in Terms of Metric Coefficients

The two partial derivative vectors are linearly dependent if and only if their cross product is zero. Thus the condition for regularity is that Xu(u,v) Xv( u,v) is not zero.

Recall that for any two vectors A and B , we have

    |A B|2=|A|2|B| 2sin2(q)
where q is the angle between the vectors. Since sin2(q)=1- cos2(q) , we may write
    |A B|2=|A|2|B| 2-|A| 2|B| 2cos2(q)
    =|A| 2|B| 2-|A B|2

In the case of the partial derivative vectors of a vector function, this gives

    |Xu( u,v) x Xv(u,v)|=g 11(u,v)g22( u,v)-g12(u,v) 2
Thus, the expression to the right in particular is never negative, and it is zero at some point if and only if the parametrization is singular at that point.

Our notation and this last formula suggest a matrix representation of what are formally called the metric coefficients :

    (gij)=(g11g12g21g22)
We often leave out the parameters and recognize that the metric coefficients are always functions of the parameters of the surface. The matrix of metric coefficients is also called "the first fundamental form".

Since the determinant of the metric coefficients appears in many different places it has its own name:

    g(u,v)=det(g11(u,v)g12(u,v)g21(u,v)g22(u,v))


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