Haar frame characterizations of Besov-Sobolev spaces and optimal embeddings into their dyadic counterparts

09/06/2022
∙
by   Gustavo Garrigós, et al.
∙
0
∙

We study the behavior of Haar coefficients in Besov and Triebel-Lizorkin spaces on ℝ, for a parameter range in which the Haar system is not an unconditional basis. First, we obtain a range of parameters, extending up to smoothness s<1, in which the spaces F^s_p,q and B^s_p,q are characterized in terms of doubly oversampled Haar coefficients (Haar frames). Secondly, in the case that 1/p<s<1 and f∈ B^s_p,q, we actually prove that the usual Haar coefficient norm, {2^j⟨ f, h_j,μ⟩}_j,μ_b^s_p,q remains equivalent to f_B^s_p,q, i.e., the classical Besov space is a closed subset of its dyadic counterpart. At the endpoint case s=1 and q=∞, we show that such an expression gives an equivalent norm for the Sobolev space W^1_p(ℝ), 1<p<∞, which is related to a classical result by Bočkarev. Finally, in several endpoint cases we clarify the relation between dyadic and standard Besov and Triebel-Lizorkin spaces.

READ FULL TEXT

Please sign up or login with your details

Continue with:
Or login with email
Enter Password
Re-enter Password

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×
Pro

Consider DeepAI Pro

Subscribe to DeepAI Pro
DeepAI Pro
Provides a limited generation allowance each month. When exceeded, you are charged overage rates available at deepai.org/pricing. Also includes an ad-free experience and API access. Renews automatically until canceled. Non-refundable.
Subtotal
Total due today

Payment

Add DeepAI credits
DeepAI credits
One-time purchase. Credits are added to your wallet after payment.
Subtotal
Total due today

Payment