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FRACTIONAL BROWNIAN VECTOR FIELDS 1. Introduction. A one ...

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24 P. D. TAFTI AND M. UNSER<br />

with<br />

e ζ 2γ+d−1<br />

irr = e ξ irr<br />

2γ −<br />

d−1<br />

2γ eξ sol<br />

and e ζ sol<br />

= − 1<br />

2γ eξ 2γ+1<br />

irr +<br />

2γ eξ sol .<br />

−γ<br />

−γ<br />

Appendix B. Conjugacy of (− ´∆) and (− `∆) .<br />

−ξ −ξ<br />

We proceed to show that for all test functions f and g ∈ d ,<br />

−γ<br />

−γ<br />

〈(− ´∆) f , g〉 = 〈f ,(− `∆) g〉.<br />

−ξ −ξ<br />

−γ<br />

Using Parseval’s identity and the definition of (− `∆) in (2.14) we can write<br />

−ξ<br />

∫<br />

−γ<br />

〈f ,(− `∆) g〉 = −ξ (2π)−d [ ˆf (ω)] H ˆΦ−γ<br />

d −ξ (ω)[Rγ ĝ](ω) dω<br />

⎡<br />

⎤<br />

∫<br />

= (2π) −d [ ˆf (ω)] H ˆΦ−γ (ω) ⎢<br />

d −ξ ⎣ĝ(ω) −<br />

∑<br />

T k [ĝ]ω k ⎥<br />

⎦ dω.<br />

|k|≤⌊2γ− d 2 ⌋<br />

(B.1)<br />

Moreover,<br />

T k [ĝ] = ĝ (k) (0)<br />

k!<br />

(−j)<br />

=<br />

∫ k x k<br />

g(x) dx.<br />

d k!<br />

By combining this and (B.1) we get<br />

∫<br />

−γ<br />

〈f ,(− `∆) g〉 = −ξ (2π)−d [ ˆf (ω)] H ˆΦ−γ (ω)<br />

d −ξ<br />

⎡<br />

⎤<br />

<br />

· ⎢<br />

⎣<br />

e<br />

∫ −j〈x,ω〉 −<br />

∑ (−j) k x k ω k <br />

g(x) dx⎥<br />

d k!<br />

⎦ dω.<br />

|k|≤⌊2γ− d 2 ⌋<br />

∫<br />

−γ<br />

= (− ´∆) f<br />

d −ξ (x)H g(x) dx;<br />

where the last step follows from exchanging the order of integration and using the definition<br />

of the right inverse given in (2.15), together with the identity ˆΦ−γ<br />

−γ<br />

−ξ (ω)H = ˆΦ (ω). The<br />

−ξ<br />

−γ<br />

last integral is by definition equal to the scalar product 〈(− ´∆) f , g〉.<br />

−ξ<br />

REFERENCES<br />

[1] MUTHUVEL ARIGOVINDAN, Variational Reconstruction of Vector and Scalar Images from non-Uniform<br />

Samples, PhD thesis, EPFL, Biomedical Imaging Group, 2005. Available from: http://library.epfl.<br />

ch/theses/nr=3329.<br />

[2] MARCO AVELLANEDA AND ANDREW J. MAJDA, Simple examples with features of renormalization for<br />

turbulent transport, Philos. Trans. Roy. Soc. London Ser. A, 346 (1994), pp. 205–233.<br />

[3] ALBERT BENASSI, STÉPHANE JAFFARD, AND DANIEL ROUX, Elliptic gaussian random processes, Rev. Mat.<br />

Iberoamericana, 13 (1997), pp. 19–90.<br />

[4] THIERRY BLU AND MICHAEL UNSER, Self-similarity: Part II—Optimal estimation of fractal processes, IEEE<br />

Trans. Signal Process., 55 (2007), pp. 1364–1378.

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