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Single Basepoint Subdivision Schemes for Manifold-valued Data: Time-Symmetry Without Space-Symmetry

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Abstract

This paper establishes smoothness results for a class of nonlinear subdivision schemes, known as the single basepoint manifold-valued subdivision schemes, which shows up in the construction of wavelet-like transform for manifold-valued data. This class includes the (single basepoint) Log–Exp subdivision scheme as a special case. In these schemes, the exponential map is replaced by a so-called retraction map f from the tangent bundle of a manifold to the manifold. It is known that any choice of retraction map yields a C 2 scheme, provided the underlying linear scheme is C 2 (this is called “C 2 equivalence”). But when the underlying linear scheme is C 3, Navayazdani and Yu have shown that to guarantee C 3 equivalence, a certain tensor P f associated to f must vanish. They also show that P f vanishes when the underlying manifold is a symmetric space and f is the exponential map. Their analysis is based on certain “C k proximity conditions” which are known to be sufficient for C k equivalence.

In the present paper, a geometric interpretation of the tensor P f is given. Associated to the retraction map f is a torsion-free affine connection, which in turn defines an exponential map. The condition P f =0 is shown to be equivalent to the condition that f agrees with the exponential map of the connection up to the third order. In particular, when f is the exponential map of a connection, one recovers the original connection and P f vanishes. It then follows that the condition P f =0 is satisfied by a wider class of manifolds than was previously known. Under the additional assumption that the subdivision rule satisfies a time-symmetry, it is shown that the vanishing of P f implies that the C 4 proximity conditions hold, thus guaranteeing C 4 equivalence. Finally, the analysis in the paper shows that for k≥5, the C k proximity conditions imply vanishing curvature. This suggests that vanishing curvature of the connection associated to f is likely to be a necessary condition for C k equivalence for k≥5.

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Notes

  1. For S x to be well defined, adjacent points must be sufficiently close. We implicitly assume this condition throughout.

  2. We do not assume here that the connection is the Levi-Civita connection of an underlying Riemannian metric. Consequently, these curves are not necessarily geodesics in the sense of Riemannian geometry.

  3. In [31, Appendix] P f is shown to be independent of the choice of coordinates, and therefore a trilinear map of the tangent bundle of M. In differential geometry jargon, this is also called a tensor field of type (1,3) on M.

  4. This is not to be confused with the order k condition in Definition 9.

  5. For the smallest support C k subdivision scheme, namely the dyadic subdivision scheme coming from the degree k+1 B-spline, L is exactly k.

  6. Recall that S and S lin always satisfy the order two proximity condition.

  7. This lemma was overlooked in the order three proximity analysis in [31]. Notice that the zeros in the last column of [31, Table 1] correspond exactly to the cases where all J, \(J_{1}^{i}\), i=1,…,α are all empty.

  8. We wish to thank one of the referees for suggesting this proof.

  9. For the reference, the order four condition on a general manifold can be expressed in a general coordinate system as F 0,4 u 4F 2,2(u 2;u 2)−4F 1,2(u;u,F 0,2 u 2)−F 1,2(F 0,2 u 2;u 2)−2F 0,2(F 1,2(u;u 2),u)−2F 0,2(F 0,2(u 2)2)−4F 0,2(u,F 0,2(u,F 0,2(u 2)))=0, assuming that the order three condition \(P_{f}(u)=F_{0,2}(u, F_{0,2}(u,u) ) + \frac{1}{2} F_{1,2}(u; u,u) - \frac{1}{2} F_{0,3}(u,u,u)=0\) already holds.

  10. For M=ℝn or ℝ+, this kind of “linear subdivision schemes in disguise” are explored in [22].

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Acknowledgements

Tom Duchamp gratefully acknowledges the support and hospitality provided by the IMA during his visit from April to June 2011, when much of the work in this article was completed.

Gang Xie’s research was supported by the Fundamental Research Funds for the Central Universities and the National Natural Science Foundation of China (No. 11101146).

Thomas Yu’s research was partially supported by the National Science Foundation grants DMS 0915068 and DMS 1115915. He is also indebted to a fellowship offered by the Louis and Bessie Stein family.

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Correspondence to Thomas Yu.

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Communicated by Arieh Iserles.

Appendices

Appendix A: Proof of Lemma 19

By the definition of S lin, the sequence is the second square bracket of (4.6) is simply \(\prod_{i} S_{\mathrm{lin}} A_{J_{2}^{i}} - S_{\mathrm{lin}}\prod_{i} A_{J_{2}^{i}}\), where A J is thought of as a sequence on ℤ whose hth entry is \(A^{h}_{J}\). Note that A J is a polynomial sequence of degree |J|. Since \(\sum_{i=1}^{\alpha}|J_{2}^{i}| \leq k\), and S lin leaves the polynomial spaces Π , k, invariant, both \(\prod_{i} S_{\mathrm{lin}} A_{J_{2}^{i}}\) and \(S_{\mathrm{lin}} \prod_{i} A_{J_{2}^{i}}\), and hence also their difference, must have degrees no bigger than \({\sum_{i=1}^{\alpha}|J_{2}^{i}|}\).

We now prove that, in fact, the difference is two degree less than what we expect. The proof of this part merely requires the simple fact ∑ a 2+σ =1. Note that

$$A_j^{h-\ell} = \frac{1}{j!} \biggl(h^j + B_j(\ell) h^{j-1} + \sum_{d<j-1} B_j^d(\ell) h^d \biggr) . $$

If J=(j 1,…,j γ ),

$$A_{J}^{h-\ell} = \prod A_{j_i}^{h-\ell} = \frac{1}{j_1!\cdots j_\gamma!} \bigl( h^{|J|} + B_J(\ell) h^{|J|-1} + \cdots \bigr), $$

where \(B_{J}(\ell) = B_{j_{1}}(\ell) + \cdots+ B_{j_{\gamma}}(\ell)\). Write J!:=j 1!⋯j γ ! and \(D:=\sum_{i} |J_{2}^{i}|\). By aggregating terms one more time we have

$$\prod_{i=1}^\alpha A_{J_2^i}^{h-\ell} =\frac{1}{J_2^1!\cdots J_2^\alpha!} \Biggl( h^{D} + \sum_{i=1}^\alpha B_{J_2^i}(\ell) \cdot h^{D-1} + \mbox{lower deg. terms} \Biggr) . $$

It should now be evident that both the h D and the h D−1 terms in \(\prod_{i=1}^{\alpha}\sum_{\ell}a_{2\ell+\sigma} A_{J_{2}^{i}}^{h-\ell}\) and \(\sum_{\ell}a_{2\ell+\sigma} \prod_{i=1}^{\alpha}A_{J_{2}^{i}}^{h-\ell}\) are the same, and hence drop off under the difference. The lemma follows.

Appendix B: Proof of Lemma 20

Using only the property that S lin reproduces Π 3, by Lemma 19, we already know that for each fixed σ=0 or 1, \(\varXi_{i}^{h,\sigma}\) or \(\varUpsilon_{i}^{h,\sigma}\) is a quadratic polynomial in h, therefore, so are

$$\varXi_1^{h,\sigma}-\varXi_2^{h,\sigma}, \;\; \varXi_3^{h,\sigma}- \frac{3}{2} \varXi_1^{h,\sigma}, \;\; \varUpsilon_1^{h,\sigma}-\varUpsilon_2^{h,\sigma} . $$

The lemma is proved if we can prove that in each of these three cases, the sequence is actually a single quadratic polynomial sampled at 2h+σ. (Recall Remark 18.) But this is equivalent to showing that

(B.1)
(B.2)
(B.3)

Our goal is to prove that (B.1)–(B.3) hold under the additional assumption that S lin has a dual time-symmetry.

Preparation

Since S lim reproduces Π 3, we have the sum rules

(B.4)
(B.5)

Combining (B.4) with the dual time-symmetry of S lim, expressed as a 2+1=a −2 , we have

$$\sum_{\ell}a_{2\ell+1}\ell=\sum _{\ell}a_{-2\ell}\ell=-\sum_{\ell}a_{2\ell} \ell = -\sum_{\ell}a_{2\ell+1} \biggl( \ell+ \frac{1}{2} \biggr) = -\frac {1}{2}-\sum _{\ell}a_{2\ell+1}\ell , $$

from which we obtain the identity

$$ \sum_{\ell}a_{2\ell+1} \ell=-\frac{1}{4}. $$
(B.6)

We compute as follows using the sum rules:

This gives the identity

$$ \sum_{\ell}a_{2\ell+1} \ell^3=-\frac{3}{4}\sum_{\ell}a_{2\ell +1} \ell^2+\frac{1}{32}. $$
(B.7)

Finally use Eqs. (B.4)–(B.7) to obtain the next three identities:

$$ \sum_\ell a_{2\ell+1}(h-\ell)=h+\frac{1}{4}, $$
(B.8)
$$ \sum_\ell a_{2\ell+1}(h-\ell)^2=h^2-2h\sum _\ell a_{2\ell+1}\ell +\sum _\ell a_{2\ell+1}\ell^2 =h^2+ \frac{1}{2}h+\sum_\ell a_{2\ell+1} \ell^2, $$
(B.9)

and

(B.10)

We are now ready to prove (B.1)–(B.3).

Proof of (B.1)

By definition,

Hence,

Therefore,

$$ \varXi_1^{h+\frac{1}{2},0}- \varXi_1^{h,1}=\frac{1}{2} \biggl[\sum _\ell a_{2\ell+1}(h-\ell)\sum _\ell a_{2\ell+1}(h-\ell)^2-\sum _\ell a_{2\ell+1}(h-\ell)^3 \biggr]. $$
(B.11)

Similarly, we have

$$ \varXi_2^{h+\frac{1}{2},0}- \varXi_2^{h,1}= \biggl(h+\frac{1}{4} \biggr) \biggl[ \biggl(\sum_\ell a_{2\ell+1}(h-\ell) \biggr)^2-\sum_\ell a_{2\ell +1}(h- \ell)^2 \biggr]. $$
(B.12)

Substituting (B.8)–(B.10) into (B.11) and (B.12), yields the two identities

(B.13)

Hence

$$\varXi_1^{h+\frac{1}{2},0}-\varXi_1^{h,1}= \varXi_2^{h+\frac{1}{2},0}-\varXi_2^{h,1} $$

and (B.1) is proved.

Proof of (B.2)

By definition,

Hence,

Therefore,

$$\varXi_3^{h+\frac{1}{2},0}-\varXi_3^{h,1}= \frac{1}{2} \biggl[ \biggl(\sum_\ell a_{2\ell+1}(h-\ell) \biggr)^3-\sum _\ell a_{2\ell+1}(h-\ell)^3 \biggr] . $$

Substituting (B.8) and (B.10) into the above equality, we have

$$\varXi_3^{h+\frac{1}{2},0}-\varXi_3^{h,1}= \frac{3}{2} \biggl(h+\frac {1}{4} \biggr) \biggl(\frac{1}{16}- \sum_\ell a_{2\ell+1}\ell^2 \biggr) . $$

Combining with (B.13) yields

$$\varXi_3^{h+\frac{1}{2},0}-\varXi_3^{h,1}= \frac{3}{2} \bigl(\varXi_1^{h+\frac{1}{2},0}-\varXi_1^{h,1} \bigr) . $$

which proves (B.2).

Proof of (B.3)

By definition of ϒ i with k=4,

Hence,

Therefore,

$$ \begin{aligned}[b] \varUpsilon_1^{h+\frac{1}{2},0}- \varUpsilon_1^{h,1}&=\frac{1}{4} \biggl[\sum _\ell a_{2\ell+1}(h-\ell)\sum _\ell a_{2\ell+1}(h-\ell) (h-\ell -1) \\ &\quad {}-\sum _\ell a_{2\ell+1}(h-\ell)^2(h-\ell-1) \biggr]. \end{aligned}$$
(B.14)

Similarly, we have

$$ \varUpsilon_2^{h+\frac{1}{2},0}- \varUpsilon_2^{h,1}=\frac{1}{2} \biggl(h- \frac{1}{4} \biggr) \biggl[ \biggl(\sum_\ell a_{2\ell+1}(h-\ell) \biggr)^2-\sum _\ell a_{2\ell+1}(h-\ell)^2 \biggr]. $$
(B.15)

Substituting (B.8)–(B.10) into (B.14) and (B.15) yields

$$\varUpsilon_1^{h+\frac{1}{2},0}-\varUpsilon_1^{h,1}= \frac{1}{2} \biggl(h-\frac{1}{4} \biggr) \biggl(\frac{1}{16}- \sum_\ell a_{2\ell+1}\ell^2 \biggr), $$
$$\varUpsilon_2^{h+\frac{1}{2},0}-\varUpsilon_2^{h,1}= \frac{1}{2} \biggl(h-\frac{1}{4} \biggr) \biggl(\frac{1}{16}- \sum_\ell a_{2\ell+1}\ell^2 \biggr). $$

Hence,

$$\varUpsilon_1^{h+\frac{1}{2},0}-\varUpsilon_1^{h,1}= \varUpsilon_2^{h+\frac {1}{2},0}-\varUpsilon_2^{h,1}, $$

and (B.3) is proved.

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Duchamp, T., Xie, G. & Yu, T. Single Basepoint Subdivision Schemes for Manifold-valued Data: Time-Symmetry Without Space-Symmetry. Found Comput Math 13, 693–728 (2013). https://doi.org/10.1007/s10208-013-9144-1

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