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math214:02-10

2020-02-10, Monday

\gdef\wt\widetilde \gdef\RM\backslash

Whitney Approximation Theorem.

Thm Suppose MM is a smooth manifold, F:MRkF: M \to \R^k is a continuous map. δ:MR\delta: M \to \R is a positive function. Then, we can find a smooth function F~:MRk\wt F: M \to \R^k, such that F(x)F~(x)<δ(x)|F(x) - \wt F(x)| < \delta(x) for all xMx \in M. Furthermore, if FF is already smooth on a closed set AA, we can choose F~=F\wt F = F on AA.

Sketch of the proof: We do it following steps

  1. By extension of smooht function lemma, we may find a smooth function F0:MRF_0: M \to \R that agrees with FF on AA. Define U0={xMF(x)F0(x)<δ(x)}. U_0 = \{x \in M | | F(x) - F_0(x)| < \delta(x) \}.
  2. For each point xMx \in M, define Ux={yM\AF(y)F(x)<δ(x)/2, and δ(x)/2<δ(y)}U_x = \{ y \in M \RM A |F(y) - F(x)| < \delta(x)/2, \z{ and } \delta(x)/2 < \delta(y) \}.
  3. The collection of open sets {Ux}\{U_x\} covers M\AM \RM A, we choose a countable subcover {Uxi}i=1\{U_{x_i}\}_{i=1}^\infty, and set Ui=UxiU_i = U_{x_i}.
  4. Do a partition of unity {φ0,φi}\{\varphi_0, \varphi_i\} subject to {Ui}i=0\{U_i\}_{i=0}. Then define the function as F~(x)=F0(x)φ0(x)+i=1F(xi)φi(x) \wt F(x) = F_0(x) \varphi_0(x) + \sum_{i=1}^\infty F(x_i) \varphi_i(x) Claim, this function works.

Tubular Neighborhood Theorem

The big plan: we want to be able to approximate a C0C^0 map F:NMF: N \to M by a CC^\infty map F~:NM\wt F: N \to M, such that the C0C^0 distance of FF and F~\wt F is small. In order to do this, we first embed MM to Rm\R^m for some big mm, ι:MRm \iota: M \into \R^m then we smooth the composition ιF:NM\iota \circ F: N \to M, to get G~:NRm\wt G: N \to \R^m, C0C^0-close to the original image of ι(M)\iota(M). Finally, we project G~(N)\wt G(N) back onto MM. This smoothing-then-project-back operation gives a smooth map from NN to MM.

math214/02-10.txt · Last modified: 2020/02/11 20:47 by pzhou