24 P. D. TAFTI AND M. UNSER with e ζ 2γ+d−1 irr = e ξ irr 2γ − d−1 2γ eξ sol and e ζ sol = − 1 2γ eξ 2γ+1 irr + 2γ eξ sol . −γ −γ Appendix B. Conjugacy of (− ´∆) and (− `∆) . −ξ −ξ We proceed to show that for all test functions f and g ∈ d , −γ −γ 〈(− ´∆) f , g〉 = 〈f ,(− `∆) g〉. −ξ −ξ −γ Using Parseval’s identity and the definition of (− `∆) in (2.14) we can write −ξ ∫ −γ 〈f ,(− `∆) g〉 = −ξ (2π)−d [ ˆf (ω)] H ˆΦ−γ d −ξ (ω)[Rγ ĝ](ω) dω ⎡ ⎤ ∫ = (2π) −d [ ˆf (ω)] H ˆΦ−γ (ω) ⎢ d −ξ ⎣ĝ(ω) − ∑ T k [ĝ]ω k ⎥ ⎦ dω. |k|≤⌊2γ− d 2 ⌋ (B.1) Moreover, T k [ĝ] = ĝ (k) (0) k! (−j) = ∫ k x k g(x) dx. d k! By combining this and (B.1) we get ∫ −γ 〈f ,(− `∆) g〉 = −ξ (2π)−d [ ˆf (ω)] H ˆΦ−γ (ω) d −ξ ⎡ ⎤ · ⎢ ⎣ e ∫ −j〈x,ω〉 − ∑ (−j) k x k ω k g(x) dx⎥ d k! ⎦ dω. |k|≤⌊2γ− d 2 ⌋ ∫ −γ = (− ´∆) f d −ξ (x)H g(x) dx; where the last step follows from exchanging the order of integration and using the definition of the right inverse given in (2.15), together with the identity ˆΦ−γ −γ −ξ (ω)H = ˆΦ (ω). The −ξ −γ last integral is by definition equal to the scalar product 〈(− ´∆) f , g〉. −ξ REFERENCES [1] MUTHUVEL ARIGOVINDAN, Variational Reconstruction of Vector and Scalar Images from non-Uniform Samples, PhD thesis, EPFL, Biomedical Imaging Group, 2005. Available from: http://library.epfl. ch/theses/nr=3329. [2] MARCO AVELLANEDA AND ANDREW J. MAJDA, Simple examples with features of renormalization for turbulent transport, Philos. Trans. Roy. Soc. London Ser. A, 346 (1994), pp. 205–233. [3] ALBERT BENASSI, STÉPHANE JAFFARD, AND DANIEL ROUX, Elliptic gaussian random processes, Rev. Mat. Iberoamericana, 13 (1997), pp. 19–90. [4] THIERRY BLU AND MICHAEL UNSER, Self-similarity: Part II—Optimal estimation of fractal processes, IEEE Trans. Signal Process., 55 (2007), pp. 1364–1378.
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