Abstract
The upper Hölder index has been introduced to describe smoothness properties of a continuous function. It can be seen as the irregular counterpart of the usual Hölder index and has been used to investigate the behavior at the origin of the modulus of smoothness in many classical cases.
In this paper, we prove a characterization of the upper Hölder index in terms of wavelet coefficients. This result is a first step in the estimation of this exponent using wavelet methods.
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Communicated by Stéphane Jaffard.
Appendix: Optimality of the Assumptions of Theorem 3
Appendix: Optimality of the Assumptions of Theorem 3
We prove here the optimality of the assumptions of Proposition 5 and thus of Theorem 3. To this end we use two counter-examples already introduced in [19].
1.1 A.1 A Uniform Irregular Function Satisfying Property (8)
Let α∈(0,1), ℓ 0∈N and define the two following sequences of integers (j n ) n∈N and (j n,α ) n∈N as
We aim at proving the following result.
Proposition 12
Let us assume that the multiresolution analysis is compactly supported. Let ε∈(0,1) and ℓ 0 be such that \(\mathrm {supp}(\psi)\subset[-2^{\ell_{0}},2^{\ell_{0}}]\). Furthermore, let us assume that ψ(0)≠0. The function f defined as
satisfies the following properties:
-
1.
f is not a uniformly Hölderian function,
-
2.
the wavelet coefficients of f satisfy property (8),
-
3.
f is uniformly irregular with exponent β, where
$$ \beta=\max\biggl(\alpha\varepsilon,\frac{\alpha\varepsilon}{(1-\alpha )+\alpha\varepsilon}\biggr)<\alpha.$$(27)
Proof
The two first properties being straightforward, we just have to prove that f is uniformly irregular with exponent β. Let n∈N and define
for j∈{j n ,…,j n,α } and
for j∈{j n,α ,…,j n+1−1}. We need to estimate
for any j∈N. First, observe that for j≠j′, supp(f j )∩supp(f j′)=∅. Indeed for any j, we have
and hence \(f(2^{-(j-\ell_{0})})-f(0)=f_{j}(2^{-(j-\ell_{0})})\) for any j∈N.
We now distinguish two cases. Let us first assume that j∈{j n ,…,j n,α }; we have
Therefore, if j n ≤j≤j n,α /2,
whereas if j n,α /2≤j≤j n,α ,
Gathering these inequalities, we have, for any j∈{j n ,…,j n,α },
Let us now consider the second case, where j∈{j n,α +1,…,j n+1−1} for some n∈N. We have
If one remarks that
then for any j n,α +1≤j≤((1−α)+αε)j n+1, we get
whereas if ((1−α)+αε)j n+1≤j≤j n+1−1,
Inequalities (28), (29) and (30) together imply f∈UI β(R d). □
1.2 A.2 Necessity of the Logarithmic Correction in the Wavelet Criteria
Let ε,α∈(0,1), β>1 and define (j n ) n∈N as
for any n∈N. Let us also define the function f α,β,ε on R as follows,
We first give an estimation of the wavelet coefficients (c j,k ) of f α,β,ε .
Proposition 13
Assume that the multiresolution analysis is the Meyer multiresolution analysis. Then for n≥1, any j∈{j n ,…,j n+1−1} and any C>0,
for n sufficiently large.
Proof
Let n∈N and ℓ∈{j n ,…,j n+1−1}. By definition of the wavelet coefficients of a bounded function, we have
Since the trigonometric series f α,β,ε is uniformly converging on any compact,
or
that is,
Since the Meyer wavelet belongs to the Schwartz class, its Fourier transform is symmetric and compactly supported with
the sum in equality (33) contains at most five terms corresponding to
One directly checks that for any n∈N, j∈{j n ,…,j n+1−1}, this implies inequality (32). □
Let us now prove the uniform irregularity properties of the functions f α,β,ε .
Proposition 14
For any β>1 and any (α,ε)∈(0,1)2, \(f_{\alpha,\beta,\varepsilon}\in \mathit{UI}^{\alpha}_{1-\varepsilon }(\mathbf{R})\).
Proof
Let us remark that it is sufficient to prove that for any ℓ∈N,
Let n 0∈N and \(\ell\in\{j_{n_{0}+1},\ldots,j_{n_{0}+1}\}\). By definition, we have
The classical inequality sin(x)≥(2/π)x valid for any x∈[0,π/2] leads to the following inequality if \(j_{n_{0}}+1\le\ell\le j_{n_{0}+1}\),
Let t∈(1,β) such that \(\ell=tj_{n_{0}}\), that is \(j_{n_{0}}=\ell/t\). We get
Since
inequality (34) is satisfied for any ℓ∈N. □
Propositions 13 and 14 together imply the following proposition.
Proposition 15
For any (α,ε,β)∈(0,1)2×(1,+∞), the functions f α,β,ε defined by the relation (31) are uniformly Hölderian, satisfy (8) and belong to \(\mathit{UI}^{\alpha}_{1-\varepsilon }(\mathbf{R})\).
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Clausel, M., Nicolay, S. A Wavelet Characterization for the Upper Global Hölder Index. J Fourier Anal Appl 18, 750–769 (2012). https://doi.org/10.1007/s00041-012-9220-y
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DOI: https://doi.org/10.1007/s00041-012-9220-y