Besov norms of the continuous wavelet transform in variable Lebesgue space

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Besov norms of the continuous wavelet transform in variable Lebesgue space Drema Lhamu1 · Sunil Kumar Singh2 Received: 10 April 2020 / Revised: 10 April 2020 / Accepted: 25 July 2020 © Springer Nature Switzerland AG 2020

Abstract In this paper, the continuous wavelet transform is studied in variable L p(·) spaces. Parseval relation and Reconstruction formula for the continuous wavelet transform in variable L p(·) spaces are derived. The characterization of variable Besov spaces associated with the continuous wavelet transform is also presented. Keywords Variable Lebesgue space · Continuous wavelet transform · Besov space Mathematics Subject Classification 65T60 · 46F12 · 30H25

1 Introduction In this section, we recall the definition and basic properties of Lebesgue variable spaces which will be used throughout this paper. A detailed discussion of properties of Lebesgue variable spaces may be found in [1,3,4]. Definition 1 (Exponent function) Suppose  is a Lebesgue measurable subset of Rn . Let P() be the set of all Lebesgue measurable functions p(·) :  → [1, ∞]. The elements of P() are called exponent functions. Given p(·) ∈ P(), we define the following numbers: p− = ess inf p(x) and p+ = ess sup p(x). x∈

B

x∈

Sunil Kumar Singh [email protected] Drema Lhamu [email protected]

1

Department of Mathematics, Jawaharlal Nehru College, Pasighat, Arunachal Pradesh 791102, India

2

Department of Mathematics, Mahatma Gandhi Central University, Motihari, Bihar 845401, India

D. Lhamu , S. K. Singh

For p(·) ∈ P(), we define three subset of  as: ∞ ( p) = {x ∈  : p(x) = ∞} 1 ( p) = {x ∈  : p(x) = 1} ∗ ( p) = {x ∈  : 1 < p(x) < ∞} . The conjugate (dual) exponent function p  (·) is defined by the formula 1 1 +  = 1, for all x ∈ . p(x) p (x) Definition 2 Given  ⊂ Rn , p(·) ∈ P(), the space L p(·) () denotes the space of all measurable functions f on  such that the modular  ρ p(·) ( f ) :=

\∞

| f (x)| p(x) d x < ∞

(1)

and ess sup | f (x)| < ∞.

(2)

x∈∞

The space L p(·) () is a Banach space with the norm    f  L p(·) = inf λ > 0 : ρ p(·) ( f /λ) ≤ 1 . In variable space we can also consider spaces where exponent function p(·) is unbounded. For example, we could take p(x) = 1 + |x|; x ∈ Rn , such spaces behave differently than the classical Lebesgue space. In this case we have L ∞ (Rn ) ⊂ L p(·) (Rn ). Given g ∈ L ∞ , for fix λ > g∞ then 

 Rn

|g(x)| λ

 p(·)

 dx ≤

Rn



||g(x)||∞ λ

1+|x| dx < ∞

and so g ∈ L p(·) (Rn ). 

Theorem 1 (Hölder’s inequality) [1, p. 278] Let f ∈ L p(·) (), g ∈ L p (·) () and 1 ≤ p(x), p  (x) ≤ ∞. Then  

with k = sup

1 p(·)

+ sup

| f (x)g(x)|d x ≤ k  f  L p(·) g L p (·) ,

1 p  (·) .

(3)

Besov norms of the continuous wavelet transform in variable… 1 Theorem 2 [1, p. 279] Let p(x) + supx∈\∞ r (x) < ∞. Then

1 q(x)

=

1 r (x) ;

p(x) ≥ 1, q(x) ≥ 1, r (x) ≥ 1 and let

 f g L r (·) ≤ C  f  L p(·) g L q(·) , for all functions f ∈ L p(·) (), g ∈ L q(·) (), where C = sup\∞ sup\∞

r (x) q(x) .

(4) r (x) p(x)

+

Theo