Nearly tight frames and space-frequency analysis on compact manifolds
By Daryl Geller, Azita Mayeli. 2007
80 citations recorded by the source corpus.
Let M be a smooth compact oriented Riemannian manifold of dimension n without boundary, and let Δ be the Laplace–Beltrami operator on M. Say $${0 \neq f \in \mathcal{S}(\mathbb R^+)}$$ , and that f (0) = 0. For t > 0, let Kt(x, y) denote the kernel of f (t2 Δ). Suppose f satisfies Daubechies’ criterion, and b > 0. For each j, write M as a disjoint union of measurable sets Ej,k with diameter at most baj, and measure comparable to $${(ba^j)^n}$$ if baj is sufficiently small. Take xj,k ∈ Ej,k. We then show that the functions $${\phi_{j,k}(x)=\mu(E_{j,k})^{1/2} \overline{K_{a^j}}(x_{j,k},x)}$$ form a frame for (I − P)L2(M), for b sufficiently small (here P is the projection onto the constant functions). Moreover, we show that the ratio of the frame bounds approaches 1 nearly quadratically as the dilation parameter approaches 1, so that the frame quickly becomes nearly tight (for b sufficiently small). Moreover, based upon how well-localized a function F ∈ (I − P)L2 is in space and in frequency, we can describe which terms in the summation $${F \sim SF = \sum_j \sum_k \langle F,\phi_{j,k} \rangle \phi_{j,k}}$$ are so small that they can be neglected. If n = 2 and M is the torus or the sphere, and f (s) = se−s (the “Mexican hat” situation), we obtain two explicit approximate formulas for the φj,k, one to be used when t is large, and one to be used when t is small.
Subfields: Applied Mathematics, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/823fa8dc8b74230d3fa48d12a5d98ad3c25642e6
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In Applied Mathematics
In Computational Theory and Mathematics
Citations in the corpus
- Continuous wavelets on compact manifolds (2008, methodology): “In a sequel article ([18]) we shall use a discrete analogue of (4) to construct nearly tight frames in this situation, and show that they are appropriately well-localized (specifically, that they satisfy a space-frequency analysis).”