epiphany Flashcards
Gauss map is a smooth map associating to every point p on a regular surface a
unit normal vector perpendicular to tangent space of surface at point
since normal vectors lie in the unit sphere the Guass map is a
smooth map between surface
Derivative at point p of a smooth map between surfaces is
a linear map from tangent space of surface at p to tangent space of unit sphere at point N(p) (N(p) is gauss map at point p)
d_pN is a linear map from T_pS into
itself (endomorphism)
Weingarten map is
-d_pN
Weingarten map, a linear map of vector space T_pS is symmetric with respect to the
nbilinnear form <.,.>_p
-d_pN can be represented by a
symmetric matrix with respect to an orthonormal basis of T_pS
Eignevalues and eigenvectors of symmetric matrices (b=c) are all
real and eigenvectors of diff eigenvalues of symmetric matrix are perpendicular
Weingarten map can be represented by a matric once we have chosen a
basis of T_pS
matrix is symmetric then A^T =
A
since - d_pN is symmetric, A_ij = <-d_pN(w_j),w_i>_p =
= <-d_pN(w_i),w_j>_p = A_ji
Eignevalues, trace and determinant do not depend on
choice of basis
A and A’ are linked by
A’ = B^(-1)AB
Trace of a matrix is the
sum of its diagonal entries and sum of its eigenvalues
determinant can also be
product of its eigenvalues
Principal curvatures of S at p are
eigenvalues k1(p),k2(p) of -d_pN
The principal direction of S at p=
eigenvectors X1(p),X2(p) of -d_pN
Gauss curvature is the product of the
principal curvatures
Mean curvature is the
average of the principal curvatures (SUM AND DIVIDE BY 2)
We have positive gauss curvature if both principal curvatures
have the same sign
det of product =
product of determinants
det of inverse of matrix A =
1/det A
H(p) =
1/2 * sum of diagonal matrices