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Article

Pointwise Rectangular Lipschitz Regularities for Fractional Brownian Sheets and Some Sierpinski Selfsimilar Functions

by
Mourad Ben Slimane
1,*,†,
Moez Ben Abid
2,†,
Ines Ben Omrane
3,† and
Mohamad Maamoun Turkawi
1,†
1
Department of Mathematics, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
2
Ecole Supérieure des Sciences et Technologie de Hammam Sousse, Université de Sousse, Sousse 4011, Tunisia
3
Department of Mathematics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), P.O. Box 90950, Riyadh 11623, Saudi Arabia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Mathematics 2020, 8(7), 1179; https://doi.org/10.3390/math8071179
Submission received: 18 May 2020 / Revised: 24 June 2020 / Accepted: 6 July 2020 / Published: 17 July 2020
(This article belongs to the Special Issue Fractals: Geometry, Analysis and Mathematical Physics)

Abstract

:
We consider pointwise rectangular Lipschitz regularity and pointwise level coordinate axes Lipschitz regularities for continuous functions f on the unit cube I 2 in R 2 . Firstly, we provide characterizations by simple estimates on the decay rate of the coefficients (resp. leaders) of the expansion of f in the rectangular Schauder system, near the point considered. We deduce that pointwise rectangular Lipschitz regularity yields pointwise level coordinate axes Lipschitz regularities. As an application, we refine earlier results in Ayache et al. (Drap brownien fractionnaire. Potential Anal. 2002, 17, 31–43) and Kamont (On the fractional anisotropic Wiener field. Probab. Math. Statist. 1996, 16, 85–98), where uniform rectangular Lipschitz regularity of the trajectories of the fractional Brownian sheet over the total I 2 (or any cube) was considered. Actually, we prove that fractional Brownian sheets are pointwise rectangular and level coordinate axes monofractal. On the opposite, we construct a class of Sierpinski selfsimilar functions that are pointwise rectangular and level coordinate axes multifractal.

1. Introduction

Many authors have studied several properties of anisotropic random fields, see for example [1,2,3,4,5,6,7,8,9,10,11,12,13], and the references therein for further information. Some of these fields are models for textures in images (see [11] and the references therein).
For a given two parameter index H ¯ = ( H 1 , H 2 ) ( 0 , 1 ) 2 , the fractional Brownian sheet { B H ¯ ( x ) : x = ( x 1 , x 2 ) } , is a real-valued centered Gaussian field, introduced by Kamont in [7], then redefined by Ayache et al. in [2] through the following fractional integration with respect to the standard real-valued Brownian sheet W on R 2
x = ( x 1 , x 2 ) R + 2 B H ¯ ( x ) = R 2 i = 1 2 g H i ( x i , u i ) d W ( u ) ,
where
u = ( u 1 , u 2 ) , g a ( t , s ) = ( t s ) + a 1 / 2 ( s ) + a 1 / 2 a n d s + = max ( s , 0 ) .
The realizations of the fractional Brownian sheet are continuous. The covariance is given by
E [ B H ¯ ( t 1 , t 2 ) B H ¯ ( s 1 , s 2 ) ] = i = 1 2 K 2 H i ( t i , s i )
where
K 2 a ( t , s ) = 1 2 ( | t | 2 a + | s | 2 a | t s | 2 a )
is the covariance kernel of the fractional Brownian motion B a in R with Hurst index a.
Recall that a corresponds to the critical uniform Lipschitz exponent of the sample paths of B a over any arbitrary compact interval I; one has, almost surely
sup { α ( 0 , 1 ) : B a L i p α ( I ) } = a .
Actually, (see for example [14]), B a is monofractal of order a in the sense that
t sup { α ( 0 , 1 ) : B a L i p α ( t ) } = a .
Let us recall the notions of L i p α ( I ) and L i p α ( t 0 ) . Without any loss of generality, let I denotes the unit interval [ 0 , 1 ] .
Definition 1.
Let u be a continuous function on I (we write u C ( I ) ). Let t 0 I . Let α ( 0 , 1 ) . We say that u is Lipschitz of order α at t 0 and we write u L i p α ( t 0 ) , if there exists C > 0 such that
t I | u ( t ) u ( t 0 ) | C | t t 0 | α .
We say that u is Lipschitz of order α on I and we write u L i p α ( I ) , if the constant C in (2) is uniform on all t 0 I .
We say that u is uniform Lipschitz on I if there exists δ > 0 such that u L i p δ ( I ) .
When H 1 H 2 , the fractional Brownian sheet given in (1) has the following anisotropic operator-selfsimilarity:
a 1 , a 2 > 0 a 1 H 1 a 2 H 2 B H ¯ ( x 1 / a 1 , x 2 / a 2 ) = B H ¯ ( x ) in   law .
It is proved that the fractional Brownian sheet has stationary rectangular increments. In [2] (resp. [7]), it is also proved that for any cube Q R 2 , the restrictions B Q H ¯ of realizations of B H ¯ to Q are uniform rectangular Lipschitz with order H ¯ = ( H 1 , H 2 ) for H 1 < H 1 and H 2 < H 2 , in the sense that
C > 0 ; ( x , y ) Q 2 | y B Q H ¯ ( x ) | C i = 1 2 | y i x i | H i ,
where rectangular increments of a continuous function f are defined for x = ( x 1 , x 2 ) and y = ( y 1 , y 2 ) by
y f ( x ) = f ( y ) f ( x 1 , y 2 ) f ( y 1 , x 2 ) + f ( x ) .
This paper is concerned with pointwise rectangular Lipschitz regularity and pointwise level coordinate axes Lipschitz regularities; without any loss of generality, we will take Q the unit cube I 2 = [ 0 , 1 ] 2 .
Definition 2. 
(Pointwise rectangular Lipschitz regularity)
Let f be a continuous function on I 2 (we write f C ( I 2 ) ). Let x I 2 . Let α ¯ = ( α 1 , α 2 ) ( 0 , 1 ) 2 . We say that f is rectangular Lipschitz of order α ¯ at x and we write f L i p α ¯ ( x ) , if there exists C > 0 such that
y I 2 | y f ( x ) | C i = 1 2 | y i x i | α i .
We say that f is rectangular Lipschitz of order α ¯ on I 2 and we write f L i p α ¯ ( I 2 ) , if the constant C in (6) is uniform on all x I 2 .
We say that f is uniform Lipschitz on I 2 if there exists δ > 0 such that f L i p δ ( I 2 ) in the sense that there exists C > 0 such that
x , y I 2 | f ( y ) f ( x ) | C | x y | δ .
Let ( e 1 , e 2 ) be the canonical basis of R 2 .
Definition 3. 
(Pointwise level coordinate axes Lipschitz regularities)
Let s ( 0 , 1 ) , x = ( x 1 , x 2 ) I 2 and f C ( I 2 ) . We say that f N s ( x , e 1 ) if there exists C > 0 such that
y = ( y 1 , y 2 ) I 2 f ( y ) f ( x 1 , y 2 ) C y 1 x 1 s .
We say that f N s ( x , e 2 ) if there exists C > 0 such that
y = ( y 1 , y 2 ) I 2 f ( y ) f ( y 1 , x 2 ) C y 2 x 2 s .
Clearly
σ ( 0 , 1 ) i = 1 2 N α i ( x , e i ) L i p ( σ α 1 , ( 1 σ ) α 2 ) ( x ) .
Let us mention that pointwise level coordinate axes Lipschitz regularities N s ( x , e i ) are stronger then pointwise directional Lipschitz regularities C s ( x , e i ) that have been studied in [15]. Let f C ( I 2 ) , x = ( x 1 , x 2 ) I 2 and 0 < s < 1 . Recall that f C s ( x , e 1 ) (resp. f C s ( x , e 2 ) ) if there exists a positive constant C such that | f ( y 1 , x 2 ) f ( x ) | C | y 1 x 1 | s y 1 I (resp. | f ( x 1 , y 2 ) f ( x ) | C | y 2 x 2 | s y 2 I ). Actually N s ( x , e i ) C s ( x , e i ) . Of course there is no converse embedding between C s ( x , e i ) and both pointwise rectangular Lipschitz regularity and pointwise level coordinate axes Lipschitz regularities.
In the next section (respectively the third section), we characterize pointwise rectangular Lipschitz regularity (respectively pointwise level coordinate axes Lipschitz regularities) by simple estimates on the decay rate of the coefficients/leaders of the expansion of the function in the basis of tensor products of Schauder functions, near the point considered (see Theorem 1/Theorem 2 (respectively Theorem 3/Theorem 4)). We deduce that pointwise rectangular Lipschitz regularity yields pointwise level coordinate axes Lipschitz regularities (see Theorem 5).
In the fourth section, as an application, we refine result (4) by proving that fractional Brownian sheets are pointwise rectangular and level coordinate axes monofractal (see Theorem 6). A second application will be done to more general anisotropic deterministic selfsimilar functions that can modelize anisotropic turbulence or cascades. We construct a class of Sierpinski selfsimilar functions that are pointwise rectangular and level coordinate axes multifractal (see Theorem 7).
Finally, a short conclusion section is given.

2. Characterization of Lip α ¯ ( x ) in Rectangular Schauder Bases

2.1. Characterization with Rectangular Schauder Coefficients

The rectangular Schauder system { Φ m = ( m 1 , m 2 ) } m N 0 2 of C ( I 2 ) is obtained by tensor products Φ m ( y ) = Φ m ( y 1 , y 2 ) = i = 1 2 ϕ m i ( y i ) , of classical (1-variable) Schauder functions { ϕ m , m 0 } on I, normed in L . Recall that ϕ 0 = 1 , ϕ 1 ( t ) = t , and for m 2 , m = 2 j + n with j 0 and 1 n 2 j , ϕ m ( t ) = ϕ ( 2 j + 1 t 2 n + 1 ) with support [ ( n 1 ) 2 j , n 2 j ] , where ϕ ( t ) = max ( 0 , 1 | t | ) .
Let M = N 0 { 2 , 1 } . For j M , let
N ˜ 2 = { 0 } , N ˜ 1 = { 1 } , and N ˜ j = { 2 j + n : n = 1 , , 2 j } for j 0 .
It is known that if u C ( I ) , then u = j M m N ˜ j b m ( u ) ϕ m with
b 0 ( u ) = u ( 0 ) , b 1 ( u ) = u ( 1 ) u ( 0 )
and
j 0 m = 2 j + n N ˜ j b m ( u ) = u ( 2 n 1 2 j + 1 ) 1 2 u ( n 1 2 j ) + u ( n 2 j ) .
For j = ( j 1 , j 2 ) M 2 , we put
N ˜ j = N ˜ j 1 × N ˜ j 2 .
Denote by 0 and 1 respectively the vectors ( 0 , 0 ) and ( 1 , 1 ) . If a = ( a 1 , a 2 ) and b = ( b 1 , b 2 ) belong to R 2 , we will write a b if a i b i for all i { 1 , 2 } , a < b (resp. a > b ) if a i < b i (respectively a i > b i ) for all i { 1 , 2 } , and a b if either a 1 > b 1 or a 2 > b 2 .
Any f C ( I 2 ) can be written as
f ( y ) = j M 2 m N ˜ j C m Φ m ( y ) = C ( 0 , 0 ) + C ( 0 , 1 ) y 2 + C ( 1 , 0 ) y 1 + C ( 1 , 1 ) y 1 y 2 + j 0 m N ˜ j C ( 0 , m ) ϕ m ( y 2 ) + j 0 m N ˜ j C ( m , 0 ) ϕ m ( y 1 ) + y 1 j 0 m N ˜ j C ( 1 , m ) ϕ m ( y 2 ) + y 2 j 0 m N ˜ j C ( m , 1 ) ϕ m ( y 1 ) + j 0 m = ( m 1 , m 2 ) N ˜ j C m ϕ m 1 ( y 1 ) ϕ m 2 ( y 2 ) ,
where
C ( 0 , 0 ) = f ( 0 , 0 ) , C ( 0 , 1 ) = f ( 0 , 1 ) f ( 0 , 0 ) , C ( 1 , 0 ) = f ( 1 , 0 ) f ( 0 , 0 ) ,
C ( 1 , 1 ) = f ( 1 , 1 ) + f ( 0 , 0 ) f ( 1 , 0 ) f ( 0 , 1 ) ,
j 0 m N ˜ j C ( 0 , m ) = f m ( 0 )
with
f m ( t ) = f ( t , 2 n 1 2 j + 1 ) 1 2 f ( t , n 1 2 j ) + f ( t , n 2 j ) ,
j 0 m N ˜ j C ( m , 0 ) = g m ( 0 )
with
g m ( t ) = f ( 2 n 1 2 j + 1 , t ) 1 2 f ( n 1 2 j , t ) + f ( n 2 j , t ) ,
j 0 m N ˜ j C ( 1 , m ) = f m ( 1 ) f m ( 0 ) ,
j 0 m N ˜ j C ( m , 1 ) = g m ( 1 ) g m ( 0 ) ,
and
j 0 m = ( m 1 , m 2 ) N ˜ j C m = f m 2 ( 2 n 1 1 2 j 1 + 1 ) 1 2 f m 2 ( n 1 1 2 j 1 ) + f m 2 ( n 1 2 j 1 ) .
It is known that both uniform and pointwise Lipschitz regularities L i p α ( I ) and L i p α ( t 0 ) (given in Definition 1) are characterized in Schauder bases (see [16] for example).
Proposition 1. 
Let 0 < α < 1 . Let u C ( I ) .
1. 
u L i p α ( I ) C > 0 j 0 m N ˜ j | b m ( u ) | C 2 α j .
2. 
Let t 0 I . If u L i p α ( t 0 ) then there exists C such that
j 0 m = 2 j + n N ˜ j | b m ( u ) | C ( 2 α j + | t 0 n 2 j | α ) .
Conversely, if u is uniform Lipschitz on I and (16) holds then u L i p α ( t 0 ) for all α < α .
Remark 1.
Let x = ( x 1 , x 2 ) and y = ( y 1 , y 2 ) . Clearly if W ( y ) = u ( y 1 ) v ( y 2 ) , U ( y ) = u ( y 1 ) and V ( y ) = v ( y 2 ) then
y W ( x ) = ( u ( y 1 ) u ( x 1 ) ) ( v ( y 2 ) v ( x 2 ) ) ,
y U ( x ) = 0 a n d y V ( x ) = 0 .
Thanks to Remark 1
  • function
    g 0 ( y ) : = C ( 0 , 0 ) + C ( 0 , 1 ) y 2 + C ( 1 , 0 ) y 1 + C ( 1 , 1 ) y 1 y 2
    belongs to L i p α ¯ ( I 2 ) for all α ¯ = ( α 1 , α 2 ) < 1 ,
  • function
    g 1 ( y ) : = j 0 m N ˜ j C ( 0 , m ) ϕ m ( y 2 ) = f ( 0 , y 2 ) f ( 0 , 0 ) C ( 0 , 1 ) y 2
    belongs to L i p α ¯ ( x ) for all α ¯ = ( α 1 , α 2 ) < 1 ,
  • function
    g 2 ( y ) : = j 0 m N ˜ j C ( m , 0 ) ϕ m ( y 1 ) = f ( y 1 , 0 ) f ( 0 , 0 ) C ( 1 , 0 ) y 1
    belongs to L i p α ¯ ( I 2 ) for all α ¯ = ( α 1 , α 2 ) < 1 ,
  • function
    g 3 ( y ) : = y 1 j 0 m N ˜ j C ( 1 , m ) ϕ m ( y 2 ) = y 1 f ( 1 , y 2 ) f ( 0 , y 2 ) y 1 C ( 1 , 0 ) y 1 y 2 C ( 1 , 1 )
    belongs to L i p α ¯ ( x ) if and only if the one variable function f ( 1 , t ) f ( 0 , t ) belongs to L i p α 2 ( x 2 ) ,
  • function
    g 4 ( y ) : = y 2 j 0 m N ˜ j C ( m , 1 ) ϕ m ( y 1 ) = y 2 f ( y 1 , 1 ) f ( y 1 , 0 ) y 2 C ( 0 , 1 ) y 1 y 2 C ( 1 , 1 )
    belongs to L i p α ¯ ( x ) if and only if the one variable function f ( t , 1 ) f ( t , 0 ) belongs to L i p α 1 ( x 1 ) .
If f is uniform Lipschitz on I 2 , then functions f ( 1 , t ) f ( 0 , t ) and f ( t , 1 ) f ( t , 0 ) are uniform Lipschitz on I, consequently g 3 and g 4 can be sharply characterized in L i p α ¯ ( x ) using the second result of Proposition 1. More precisely
Proposition 2.
Let f C ( I 2 ) , 0 < α ¯ < 1 and x I 2 .
1. 
If g 3 and g 4 belong to L i p α ¯ ( x ) then there exists C > 0 such that
j 0 m = 2 j + n N ˜ j | C ( 1 , m ) | C ( 2 j + n 2 j x 2 ) α 2
and
j 0 m = 2 j + n N ˜ j | C ( m , 1 ) | C ( 2 j + n 2 j x 1 ) α 1 .
2. 
Conversely, if f is uniform Lipschitz on I 2 and both (22) and (23) are satisfied then
i { 3 , 4 } α ¯ < α ¯ g i L i p α ¯ ( x ) .
Remark 2.
Note that if f L i p α ¯ ( x ) then g 3 and g 4 belong to L i p α ¯ ( x ) . In fact
| f ( 1 , t ) f ( 0 , t ) f ( 1 , x 2 ) + f ( 0 , x 2 ) | = | ( 1 , t ) f ( x ) ( 0 , t ) f ( x ) | | ( 1 , t ) f ( x ) | + | ( 0 , t ) f ( x ) | C | t x 2 | α 2
and
| f ( t , 1 ) f ( t , 0 ) f ( x 1 , 1 ) + f ( x 1 , 0 ) | = | ( t , 1 ) f ( x ) ( t , 0 ) f ( x ) | | ( t , 1 ) f ( x ) | + | ( t , 0 ) f ( x ) | C | t x 1 | α 1 .
To achieve the sharp characterization of L i p α ¯ ( x ) by Schauder coefficients, it remains to deal with the series
F ( y ) = j 0 m = ( m 1 , m 2 ) N ˜ j C m ϕ m 1 ( y 1 ) ϕ m 2 ( y 2 ) .
Proposition 3.
Let f C ( I 2 ) , 0 < α ¯ < 1 and x I 2 .
  • If f L i p α ¯ ( x ) then there exists C > 0 such that
    j 0 m = ( m 1 , m 2 ) N ˜ j | C m | C i = 1 2 ( 2 j i + n i 2 j i x i ) α i .
  • Conversely, if f is uniform Lipschitz on I 2 and (26) is satisfied, then the function F given in (25) satisfies
    α ¯ < α ¯ F L i p α ¯ ( x ) .
Proof of Proposition 3.
  • Assume that f L i p α ¯ ( x ) . Recall that coefficients C m are given by (14) where f m 2 is as in (12). Write
    f m 2 ( t ) = f ( t , 2 n 2 1 2 j 2 + 1 ) f ( x 1 , 2 n 2 1 2 j 2 + 1 ) f ( t , x 2 ) + f ( x ) 1 2 f ( t , n 2 1 2 j 2 ) f ( x 1 , n 2 1 2 j 2 ) f ( t , x 2 ) + f ( x ) + f ( t , n 2 2 j 2 ) f ( x 1 , n 2 2 j 2 ) f ( t , x 2 ) + f ( x ) + f m 2 ( x 1 ) = ( t , 2 n 2 1 2 j 2 + 1 ) f ( x ) 1 2 ( t , n 2 1 2 j 2 ) f ( x ) + ( t , n 2 2 j 2 ) f ( x ) + f m 2 ( x 1 ) .
    Thus
    C m = f m 2 ( 2 n 1 1 2 j 1 + 1 ) 1 2 f m 2 ( n 1 1 2 j 1 ) + f m 2 ( n 1 2 j 1 ) = ( 2 n 1 1 2 j 1 + 1 , 2 n 2 1 2 j 2 + 1 ) f ( x ) 1 2 ( 2 n 1 1 2 j 1 + 1 , n 2 1 2 j 2 ) f ( x ) + ( 2 n 1 1 2 j 1 + 1 , n 2 2 j 2 ) f ( x ) 1 2 ( n 1 1 2 j 1 , 2 n 2 1 2 j 2 + 1 ) f ( x ) 1 2 ( n 1 1 2 j 1 , n 2 1 2 j 2 ) f ( x ) + ( n 1 1 2 j 1 , n 2 2 j 2 ) f ( x ) + ( n 1 2 j 1 , 2 n 2 1 2 j 2 + 1 ) f ( x ) 1 2 ( n 1 2 j 1 , n 2 1 2 j 2 ) f ( x ) + ( n 1 2 j 1 , n 2 2 j 2 ) f ( x ) .
    Since f L i p α ¯ ( x ) then (26) holds.
  • Conversely, assume that f is uniform Lipschitz on I 2 and (26) is satisfied. Using (12)
    | f m ( t ) | 1 2 | f ( t , 2 n 1 2 j + 1 ) f ( t , n 1 2 j ) | + 1 2 | f ( t , 2 n 1 2 j + 1 ) f ( t , n 2 j ) | C 2 δ j .
    Using (7) and (14)
    j 0 m N ˜ j | C m | C 2 δ j 1 .
    Since
    C m = f m 1 ( 2 n 2 1 2 j 2 + 1 ) 1 2 f m 1 ( n 2 1 2 j 2 ) + f m 1 ( n 2 2 j 2 )
    then similarly
    j 0 m N ˜ j | C m | C 2 δ j 2 .
    It follows that
    j 0 m N ˜ j θ ( 0 , 1 ) | C m | C 2 θ δ j 1 2 ( 1 θ ) δ j 2 .
    Put δ 1 = δ θ and δ 2 = δ ( 1 θ ) . By (26) there exists C > 0 such that
    σ [ 0 , 1 ] j 0 m N ˜ j C m C i = 1 2 2 ( 1 σ ) δ i j i ( 2 j i + n i 2 j i x i ) σ α i .
    Then
    C m C i = 1 2 μ δ i , α i , j i , m i , x i
    where for 0 < δ < 1 , 0 < α < 1 , j 0 , m = 2 j + n N ˜ j and t R
    μ δ , α , j , m , t = 2 ( 1 σ ) δ j ( 2 j + n 2 j t ) σ α .
    For h R , put
    Δ h ϕ m ( t ) = ϕ m ( t + h ) ϕ m ( t )
    and
    R δ , α ( h , t ) = j = 0 m N ˜ j μ δ , α , j , m , t Δ h ϕ m ( t ) .
    Clearly, if h = ( h 1 , h 2 ) then
    x + h Φ m ( x ) = i = 1 2 Δ h i ϕ m i ( x i )
    and the function F given in (25) satisfies
    x + h F ( x ) C i = 1 2 R δ i , α i ( h i , x i ) .
    Relation (36) together with the following lemma yield (27).
 □
Lemma 1.
There exists C > 0 such that
0 < | h | 1 t R δ , α ( h , t ) C | h | σ α + ( 1 σ ) δ .
Proof of Lemma 1. :
Clearly
μ δ , α , j , m , t C 2 ( 1 σ ) δ j ( 2 j σ α + n 2 j t σ α ) .
Remark 3.If m = 2 j + n N ˜ j , with j 0 then ϕ m has support [ ( n 1 ) 2 j , n 2 j ] . It follows that for t I and j 0 , there exists a unique value of m = 2 j + n for which t [ ( n 1 ) 2 j , n 2 j ) .
On the other hand
Δ h ϕ m ( t ) ϕ m ( t ) + ϕ m ( t + h ) .
Relation (38) together with Remark 3 and the triangle inequality n 2 j ( t + h ) n 2 j t + h yield
m N ˜ j μ δ , α , j , m , t Δ h ϕ m ( t ) C 2 ( 1 σ ) δ j ( 2 σ α j + | h | σ α ) .
Since 0 < | h | 1 , let J N 0 such that 2 J h < 2 . 2 J . Split R δ , α ( h , t ) as
R δ , α ( h , t ) = j = 0 J m N ˜ j μ δ , α , j , m , t Δ h ϕ m ( t ) + j = J + 1 m N ˜ j μ δ , α , j , m , t Δ h ϕ m ( t ) .
Since α > 0 , 0 < σ < 1 and δ > 0 then relation (40) yields
j = J + 1 m N ˜ j μ δ , α , j , m , t Δ h ϕ m ( t ) C | h | σ α + ( 1 σ ) δ .
Let us bound the first sum in (41). Since ϕ is Lipschitz then
Δ h ϕ m ( t ) C 2 j h .
An argument similar to that of (40) yields
j = 0 J m N ˜ j μ δ , α , j , m , t Δ h ϕ m ( t ) C j = 0 J 2 ( 1 σ ) δ j ( 2 σ α j + | h | σ α ) 2 j h C | h | σ α + ( 1 σ ) δ .
Both (42) and (43) yield (37). □
Proposition 2 together with Remark 2 and Proposition 3 yield the following full characterization of L i p α ¯ ( x ) .
Theorem 1.
Let f C ( I 2 ) , 0 < α ¯ < 1 and x I 2 .
1. 
If f L i p α ¯ ( x ) then (22) together with (23) and (26) hold.
2. 
Conversely, if f is uniform Lipschitz on I 2 and (22) together with (23) and (26) hold, then
α ¯ < α ¯ f L i p α ¯ ( x ) .

2.2. Characterization of L i p α ¯ ( x ) by Decay Conditions of Schauder Leaders

An equivalent characterization of L i p α ¯ ( x ) by decay conditions of Schauder leaders can also be obtained.
If j 0 and m = n + 2 j N ˜ j , we will denote by λ the dyadic interval
λ m = [ ( n 1 ) 2 j , n 2 j ) .
Set
3 λ m = [ ( n 2 ) 2 j , ( n + 1 ) 2 j ) .
If t I , denote by λ j ( t ) the dyadic interval at scale j that contains t.
For j = ( j 1 , j 2 ) 0 and m = ( m 1 , m 2 ) N ˜ j , with m i = n i + 2 j i , define the Schauder leader of f at m by
d m = d λ m 1 × λ m 2 = sup λ m 1 × λ m 2 λ m 1 × λ m 2 | C m | ,
where λ m i = [ ( n i 1 ) 2 j i , n i 2 j i ) for m i = n i + 2 j i N ˜ j .
If j = ( 1 , j 2 0 ) and m = ( 1 , m 2 ) , with m 2 = n 2 + 2 j 2 N ˜ j 2 , define the Schauder leader of f at m by
d m = sup λ m 2 λ m 2 | C ( 1 , m 2 ) | .
If j = ( j 1 0 , 1 ) and m = ( m 1 , 1 ) , with m 1 = n 1 + 2 j 1 N ˜ j 1 , define the Schauder leader of f at m by
d m = sup λ m 1 λ m 1 | C ( m 1 , 1 ) | .
If j = ( j 1 , j 2 ) 0 , set
d j ( x ) = max λ m 1 × λ m 2 3 λ j 1 ( x 1 ) × 3 λ j 2 ( x 2 ) d m .
If j = ( 1 , j 2 0 ) , set
d j ( x ) = max λ m 2 3 λ j 2 ( x 2 ) d ( 1 , m 2 ) .
If j = ( j 1 0 , 1 ) , set
d j ( x ) = max λ m 1 3 λ j 1 ( x 1 ) d ( m 1 , 1 ) .
Theorem 2.
Let f C ( I 2 ) , 0 < α ¯ < 1 and x I 2 .
1. 
If f L i p α ¯ ( x ) then there exists C > 0 such that
j = ( 1 , j 2 0 ) d j ( x ) C 2 j 2 α 2 ,
j = ( j 1 0 , 1 ) d j ( x ) C 2 j 1 α 1
and
j 0 d j ( x ) C i = 1 2 2 j i α i .
2. 
Conversely, if f is uniform Lipschitz on I 2 and (53) together with (54) and (55) hold, then
α ¯ < α ¯ f L i p α ¯ ( x ) .
Proof of Theorem 2.
  • Let f L i p α ¯ ( x ) .
    • Since g 3 and g 4 belong to L i p α ¯ ( x ) then by Proposition 2
      j 0 m = 2 j + n N ˜ j | C ( 1 , m ) | C ( 2 j + n 2 j x 2 ) α 2
      and
      j 0 m = 2 j + n N ˜ j | C ( m , 1 ) | C ( 2 j + n 2 j x 1 ) α 1 .
      Let j 1 , if λ 3 λ then j j 1 and n 2 j x i C 2 j for all i { 1 , 2 } . Hence (57) and (58) yield (53) and (54).
    • Thanks to Proposition 3
      j 0 m = ( m 1 , m 2 ) N ˜ j | C m | C i = 1 2 ( 2 j i + n i 2 j i x i ) α i .
      Let j 1 , if λ i 3 λ i then j i j i 1 and n i 2 j i x i C 2 j i for all i { 1 , 2 } . Hence (59) yields (55).
  • The converse part is reminiscent of that of [17] page 17. Assume that f is uniform Lipschitz on I 2 and (53) together with (54) and (55) hold.
    • Let t I . Let j 0 be given. If λ = [ ( n 1 ) 2 j , n 2 j ) , denote by λ = [ ( n 1 ) 2 j , n 2 j ) the dyadic interval defined by
      -
      if λ 3 λ j ( t ) , then λ = λ j ( t ) and j = j ,
      -
      else, if j = sup { l : λ 3 λ l ( t ) } , then λ = λ j ( t ) and it follows that there exists C > 0 such that 1 C 2 j | n 2 j t | C 2 j .
      Set m = n + 2 j . In the first case, relation (53) implies that
      | C ( 1 , m ) | d ( 1 , j ) ( x ) C 2 j α 2 = C 2 j α 2 .
      Similarly, relation (54) implies that
      | C ( m , 1 ) | d ( j , 1 ) ( x ) C 2 j α 1 = C 2 j α 1 .
      In the second case,
      | C ( 1 , m ) | d ( 1 , j ) ( x ) C 2 j 2 α 2 C | n 2 j x 2 | α 2
      and
      | C ( m , 1 ) | d ( j , 1 ) ( x ) C 2 j 1 α 1 C | n 2 j x 1 | α 1 .
      The conclusion of the converse part of Proposition 2 holds.
      If j 0 . With the same notations as above
      | C ( m 1 , m 2 ) | C i = 1 2 ( 2 j i α i + | n i 2 j i x i | α i ) .
      The conclusion of the converse part of Theorem 3 holds. □

3. Pointwise Level Coordinate Axes Lipschitz Regularities

Remark 4.
Clearly if W ( y ) = u ( y 1 ) v ( y 2 ) then W ( y ) W ( x 1 , y 2 ) = ( u ( y 1 ) u ( x 1 ) ) v ( y 2 ) and W ( y ) W ( y 1 , x 2 ) = u ( y 1 ) ( v ( y 2 ) v ( x 2 ) ) .
Thanks to Remark 4, we have the following results.
  • Function g 0 given in (17) belongs to i = 1 2 N s ( x , e i ) for all 0 < s < 1 .
  • Function g 1 given in (18) belongs to N s ( x , e 1 ) for all 0 < s < 1 . It belongs to N s ( x , e 2 ) if and only if the one variable function f ( 0 , t ) belongs to L i p s ( x 2 ) .
  • Function g 2 given in (19) belongs to N s ( x , e 2 ) for all 0 < s < 1 . It belongs to N s ( x , e 1 ) if and only if the one variable function f ( t , 0 ) belongs to L i p s ( x 1 ) .
  • Function g 3 given in (20) belongs to N s ( x , e 1 ) for all 0 < s < 1 . It belongs to N s ( x , e 2 ) if and only if the one variable function f ( 1 , t ) f ( 0 , t ) belongs to L i p s ( x 2 ) .
  • Function g 4 given in (21) belongs to N s ( x , e 2 ) for all s < 1 . It belongs to N s ( x , e 1 ) if and only if the one variable function f ( t , 1 ) f ( t , 0 ) belongs to L i p s ( x 1 ) .

3.1. Characterization of N s ( x , e i ) by Decay Conditions of Schauder Coefficients

If f is uniform Lipschitz on I 2 , then g 2 and g 4 (resp. g 1 and g 3 ) can be sharply characterized in N s ( x , e 1 ) using the second result of Proposition 1. More precisely
Proposition 4.
Let f C ( I 2 ) , s ( 0 , 1 ) and x I 2 .
1. 
If g 2 and g 4 belong to N s ( x , e 1 ) then there exists C > 0 such that
j 0 m = 2 j + n N ˜ j | C ( m , 0 ) | C ( 2 j + n 2 j x 1 ) s
and
j 0 m = 2 j + n N ˜ j | C ( m , 1 ) | C ( 2 j + n 2 j x 1 ) s .
2. 
Conversely, if f is uniform Lipschitz on I 2 and both (60) and (61) are satisfied then
i { 2 , 4 } s < s g i N s ( x , e 1 ) .
3. 
If g 1 and g 3 belong to N s ( x , e 2 ) then there exists C > 0 such that
j 0 m = 2 j + n N ˜ j | C ( 0 , m ) | C ( 2 j + n 2 j x 2 ) s
and
j 0 m = 2 j + n N ˜ j | C ( 1 , m ) | C ( 2 j + n 2 j x 2 ) s .
4. 
Conversely, if f is uniform Lipschitz on I 2 and both (63) and (64) are satisfied then
i { 1 , 3 } s < s g i N s ( x , e 2 ) .
Remark 5.
Note that if f N s ( x , e 1 ) (resp. f N s ( x , e 2 ) ) then g 2 and g 4 belong to N s ( x , e 1 ) (resp. g 1 and g 3 belong to N s ( x , e 2 ) ).
To achieve the sharp characterization of both N s ( x , e 1 ) and N s ( x , e 2 ) , it remains to deal with the series F given in (25).
Proposition 5.
Let f C ( I 2 ) , 0 < s < 1 and x I 2 .
1. 
(a) 
If f N s ( x , e 1 ) then there exists C > 0 such that
j 0 m = ( m 1 , m 2 ) N ˜ j | C m | C ( 2 j 1 + n 1 2 j 1 x 1 ) s .
(b) 
Conversely, if f is uniform Lipschitz on I 2 and (66) is satisfied, then
s < s F N s ( x , e 1 ) .
1. 
(a) 
If f N s ( x , e 2 ) then there exists C > 0 such that
j 0 m = ( m 1 , m 2 ) N ˜ j | C m | C ( 2 j 2 + n 2 2 j 2 x 2 ) s .
(b) 
Conversely, if f is uniform Lipschitz on I 2 and (68) is satisfied, then
s < s F N s ( x , e 2 ) .
Proof of Proposition 5.
  • (a)
    Let j 0 and m = ( m 1 , m 2 ) N ˜ j . Using (14)
    | C m | = | f m 2 ( 2 n 1 1 2 j 1 + 1 ) f m 2 ( x 1 ) 1 2 f m 2 ( n 1 1 2 j 1 ) f m 2 ( x 1 ) + f m 2 ( n 1 2 j 1 ) f m 2 ( x 1 ) | .
    Since f N s ( x , e 1 ) then using (12) there exists C > 0 such that (66) holds.
    (b)
    Conversely, assume that f is uniform Lipschitz on I 2 and (66) is satisfied.
    As in the beginning of the proof of the converse part in Proposition 3
    C m C μ δ 1 , s , j 1 , m 1 , x 1 2 ( 1 σ ) δ 2 j 2 .
    So
    | F ( y ) F ( x 1 , y 2 ) | C R δ 1 , s ( y 1 x 1 , x 1 ) j 2 0 2 ( 1 σ ) δ 2 j 2 m 2 ϕ m 2 ( y 2 ) C R δ 1 , s ( y 1 x 1 , x 1 ) C | y 1 x 1 | σ s + ( 1 σ ) δ 1 .
  • The proof is similar.
 □
Proposition 4 together with both Remark 5 and Proposition 5 yield the following full characterization of both N s ( x , e 1 ) and N s ( x , e 2 ) .
Theorem 3.
Let f C ( I 2 ) , 0 < s < 1 and x I 2 .
  • (a)
    If f N s ( x , e 1 ) then there exists C > 0 such that (60), (61) and (66) hold.
    (b)
    Conversely, if f is uniform Lipschitz on I 2 and (60) together with (61) and (66) hold, then
    s < s f N s ( x , e 1 ) .
  • (a)
    If f N s ( x , e 2 ) then there exists C > 0 such that (63), (64) and (68) hold.
    (b)
    Conversely, if f is uniform Lipschitz on I 2 and (63) together with (64) and (68) hold, then
    s < s f N s ( x , e 2 ) .

3.2. Characterization of N s ( x , e i ) by Decay Conditions of Schauder Leaders

If j = ( 2 , j 2 0 ) and m = ( 0 , m 2 ) , with m 2 = n 2 + 2 j 2 N ˜ j 2 , then define the Schauder leader of f at m by
d m = sup λ m 2 λ m 2 | C ( 0 , m 2 ) | .
If j = ( j 1 0 , 2 ) and m = ( m 1 , 0 ) , with m 1 = n 1 + 2 j 1 N ˜ j 1 , then define the Schauder leader of f at m by
d m = sup λ m 1 λ m 1 | C ( m 1 , 0 ) | .
If j = ( 2 , j 2 0 ) , set
d j ( x ) = max λ m 2 3 λ j 2 ( x 2 ) d ( 0 , m 2 ) .
If j = ( j 1 0 , 2 ) , set
d j ( x ) = max λ m 1 3 λ j 1 ( x 1 ) d ( m 1 , 0 ) .
Using the same arguments as in the proof of Theorem 2, we obtain the following results.
Theorem 4.
Let f C ( I 2 ) , 0 < s < 1 and x I 2 .
  • (a)
    If f N s ( x , e 1 ) then there exists C > 0 such that
    j = ( j 1 0 , j 2 { 2 , 1 } ) d j ( x ) C 2 j 1 s
    and
    j 0 d j ( x ) C 2 j 1 s .
    (b)
    Conversely, if f is uniform Lipschitz on I 2 and both (77) and (78) hold, then
    s < s f N s ( x , e 1 ) .
  • (a)
    If f N s ( x , e 2 ) then there exists C > 0 such that
    j = ( j 1 { 2 , 1 } , j 2 0 ) d j ( x ) C 2 j 2 s
    and
    j 0 d j ( x ) C 2 j 2 s .
    (b)
    Conversely, if f is uniform Lipschitz on I 2 and both (80) and (81) hold, then
    s < s f N s ( x , e 2 ) .

3.3. Relationship between L i p α ¯ ( x ) and Pointwise Level Coordinate Axes Lipschitz Regularities

We have already relation (8). In addition, both Theorems 2 and 4 imply that rectangular Lipschitz regularity yields pointwise level coordinate axes Lipschitz regularities.
Set g ( y ) = f ( y ) f ( y 1 , 0 ) and h ( y ) = f ( y ) f ( 0 , y 2 ) . Define
N f ( x , e 1 ) : = sup { s ( 0 , 1 ) : f N s ( x , e 1 ) }
and
N f ( x , e 2 ) : = sup { s ( 0 , 1 ) : f N s ( x , e 2 ) } .
Theorem 5.
If f L i p α ¯ ( x ) and f is uniform Lipschitz on I 2 then g N α 1 ε ( x , e 1 ) and h N α 2 ε ( x , e 2 ) for all ε > 0 .
If f is uniform Lipschitz on I 2 , then
N g ( x , e 1 ) = sup { α 1 ( 0 , 1 ) : α 2 ( 0 , 1 ) f L i p α ¯ ( x ) }
and
N h ( x , e 2 ) = sup { α 2 ( 0 , 1 ) : α 1 ( 0 , 1 ) f L i p α ¯ ( x ) } .

4. Applications

4.1. The Fractional Brownian Sheets

The following result refines result (4).
Theorem 6.
The fractional Brownian sheet B I 2 H ¯ is pointwise rectangular and level coordinate axes monofractal. More precisely, with probability 1,
H ¯ < H ¯ x I 2 B I 2 H ¯ L i p H ¯ ( x ) ,
H ¯ H ¯ x I 2 B I 2 H ¯ L i p H ¯ ( x )
and
x I 2 i { 1 , 2 } N f ( x , e i ) = H i .
Proof of Theorem 6.
The coefficients of the fractional Brownian sheet B I 2 H ¯ in the tensor product Schauder basis were obtained in [7]; in fact
B I 2 H ¯ = j M 2 m N ˜ j C m Φ m
where ( C m ) m 0 is a Gaussian sequence, with E ( C m ) = 0 , and the variance given by the formula
E ( | C m | 2 ) = i = 1 2 a m i
with
a 0 = 0 , a 1 = 1 and a m i = ( 2 2 H i 2 2 ) 2 j i 2 H i for m i N ˜ j i j i 0 .
As mentioned in [2],
y 1 B I 2 H ¯ ( y 1 , 0 ) = 0 and y 2 B I 2 H ¯ ( 0 , y 2 ) = 0
(this remark follows also from the fact that a 0 = 0 ).
In [7], it is mentioned that if m 1 = 0 or m 2 = 0 then C m = 0 almost surely. For m > 0 , put g m = C m E ( | C m | 2 ) . The following lemma can be obtained using same arguments as Corollary 4.6 in [7].
Lemma 2.There exists C > 0 such that, with probability 1,
C sup j > 0 , m N ˜ j sup j j sup m N ˜ j , λ m 1 × λ m 2 λ m 1 × λ m 2 | g m | 1 + | j j | ln 2 < .
Since 2 j H i 2 j H i for all j j , then Theorem 6 follows directly from (88), (89), Theorem 2 and Theorem 5. □

4.2. Sierpinski Selfsimilar Functions

We will construct a class of Sierpinski selfsimilar functions that will be pointwise rectangular and level coordinate axes multifractal. Let s and t be two integers with s < t . Choose A { 0 , 1 , , s 1 } × { 0 , 1 , , t 1 } . For ω = ( a , b ) A , the contraction S ω ( x 1 , x 2 ) = x 1 s + a s , x 2 t + b t maps I 2 into the rectangle
R ω = [ a s , a + 1 s ] × [ b t , b + 1 t ] .
The (general) Sierpinski carpet K (see [18,19,20]) and references therein) is the unique non-empty compact set (see [21,22]) satisfying
K = ω A S ω ( K ) .
It is given by
K = { x I 2 : ( S ω 1 S ω l ) 1 ( x ) ω A R ω ω = ( ω 1 , , ω l ) A l l N } = l N ( ω A l R ω )
where
R ω = ( S ω 1 S ω l ) ( I 2 ) for ω = ( ω 1 , , ω l ) .
Put Γ ( x 1 , x 2 ) = Λ ( x 1 ) Λ ( x 2 ) , where Λ ( t ) = min ( t , 1 t ) if t [ 0 , 1 ] and 0 elsewhere. Clearly Λ ( t ) = 1 2 Φ 2 ( t ) . The Sierpinski selfsimilar function adapted to the subdivision A satisfies
x I 2 f ( x ) = ω A γ ω f ( S ω 1 ( x ) ) + Γ ( x 1 , x 2 ) .
Define
| γ | m a x = max ω A | γ ω | , | γ | m i n = min ω A | γ ω | , a n d H m i n = log | γ | m a x log t .
The following result was obtained in [18].
Proposition 6.
Suppose that ω A | γ ω | < s t , then the series
f ( x ) = Γ ( x ) + l = 1 ( ω 1 , , ω l ) A l γ ω 1 γ ω l Γ S ω l 1 S ω 1 1 ( x ) .
is a unique solution in L 1 ( I 2 ) for equation (92).
If furthermore 1 t < | γ | m a x < 1 , then f L i p H m i n ( I 2 ) with 0 < H m i n < 1 .
The Sierpinski selfsimilar function is written as the superposition of similar anisotropic structures at different scales, reminiscent of some possible modelization of turbulence or cascade models. In [18], we proved that some Sierpinski selfsimilar functions don’t satisfy the thermodynamic formalism.
Clearly if ω l = ( a l , b l ) then
Γ S ω l 1 S ω 1 1 ( x ) = Λ ( s l x 1 s l 1 a 1 s a l 1 a l ) Λ ( t l x 2 t l 1 b 1 t b l 1 b l ) .
Consider the “separated open set condition”
( ω , ω ) A 2 ω ω R ω R ω = .
If x K then there exists a neighborhood ϑ ( x ) of x and L N such that
y ϑ ( x ) f ( y ) = Γ ( y ) + l = 1 L ( ω 1 , , ω l ) A l γ ω 1 γ ω l Γ S ω l 1 S ω 1 1 ( y ) .
It follows that f L i p α ¯ ( x ) for all α ¯ < 1 .
On the other hand, from the “separated open set condition” (94), any x K has a unique expansion
x = l = 1 a l s l , l = 1 b l t l w i t h ( a l , b l ) = ( a l ( x ) , b l ( x ) ) = ω l = ω l ( x ) A .
For L 1 , denote by
ω ( L , x ) = ( ω 1 , , ω L ) a n d γ ω ( L , x ) = γ ω 1 γ ω L .
Let S and T be two positive integers. Assume that s = 2 S and t = 2 T . Set
r ( x ) = lim inf L log | γ ω ( L , x ) | log 2 L .
Theorem 7.
Let 1 t < | γ | m a x < 1 . Assume that the “separated open set condition”(94) holds. Assume furthermore that each column and each row of the grid contains at most one box ω , with ω A . If | γ | m i n < | γ | m a x , then the obtained class of Sierpinski selfsimilar functions f are pointwise rectangular and level coordinate axes multifractal. More precisely, if x K and r ( x ) < S then
f L i p α ¯ ( x ) S α 1 + T α 2 < r ( x ) ,
f L i p α ¯ ( x ) S α 1 + T α 2 > r ( x )
and
( N f ( x , e 1 ) , N f ( x , e 2 ) ) = ( r ( x ) S , r ( x ) T ) .
Proof of Theorem 7.
Clearly Schauder leaders of f satisfy d ( 2 , 2 ) = C ( 2 , 2 ) = 1 4 , and if L 1 , j = ( L S , L T ) , m = ( m 1 , m 2 ) N ˜ j with ( m 1 , m 2 ) = ( n 1 + 2 L S , n 2 + 2 L T ) and ( ( n 1 1 ) 2 L S , ( n 2 1 ) 2 L T ) = ( l = 1 L a l s l , l = 1 L b l t l ) , then d m = C m = 1 4 | γ ω 1 | | γ ω L | (because | γ | max < 1 ).
Let x K and j = ( j 1 , j 2 ) 0 with j 0 . Write ( L 1 1 ) S < j 1 L 1 S and ( L 2 1 ) T < j 2 L 2 T . Put L = max ( L 1 , L 2 ) . Then (47), (50), (94) and the assumption that each column and each row of the grid contains at most one box ω , with ω A , imply that
1 4 | γ ω ( L , x ) | d j ( x ) 1 4 | γ ω ( L 1 , x ) | .
Hence Theorem 2 and Theorem 5 yield Proposition 7. Indeed
ε > 0 L ε L L ε | γ ω ( L , x ) | 2 L ( r ( x ) ε )
and
ε > 0 L n n | γ ω ( L n , x ) | > 2 L n ( r ( x ) + ε ) .
If S α 1 + T α 2 < r ( x ) then for ε = r ( x ) S α 1 T α 2 relations (97) and (98) imply that
L ε L > L ε d j ( x ) C 2 L S α 1 L T α 2 C 2 j 1 α 1 j 2 α 2 .
If S α 1 + T α 2 > r ( x ) then for 2 ε = S α 1 + T α 2 r ( x ) relations (97) and (99) imply that
n d ( L n S , L n T ) ( x ) > 1 4 2 L n S α 1 L n T α 2 + ε L n .
 □

5. Conclusions

In [2,7], it was proved that for any cube Q R 2 , the restrictions B Q H ¯ of realizations of fractional Brownian sheets B H ¯ to Q are uniform rectangular Lipschitz with order H ¯ < H ¯ . In this paper, we first improved that result pointwisely, namely B Q H ¯ are pointwise rectangular (respectively level coordinate axes) monofractal with order H ¯ < H ¯ (respectively H i ). The proof is based on some criteria of the latest pointwise regularities in terms of the rectangular Schauder system, obtained in this paper. A second application of these criteria was done, namely we constructed a class of Sierpinski selfsimilar functions that are pointwise rectangular and level coordinate axes multifractal.

Author Contributions

Conceptualization, M.B.S., M.B.A., I.B.O. and M.M.T.; formal analysis, M.B.S., M.B.A., I.B.O. and M.M.T.; investigation, M.B.S., M.B.A., I.B.O. and M.M.T.; methodology, M.B.S., M.B.A., I.B.O. and M.M.T.; supervision, M.B.S.; writing and original draft, M.B.S. All authors have read and agreed to the published version of the manuscript.

Funding

Mourad Ben Slimane and Mohamad Maamoun Turkawi extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research group No (RG-1435-063).

Conflicts of Interest

The authors declare no conflict of interest.

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Ben Slimane, M.; Ben Abid, M.; Ben Omrane, I.; Turkawi, M.M. Pointwise Rectangular Lipschitz Regularities for Fractional Brownian Sheets and Some Sierpinski Selfsimilar Functions. Mathematics 2020, 8, 1179. https://doi.org/10.3390/math8071179

AMA Style

Ben Slimane M, Ben Abid M, Ben Omrane I, Turkawi MM. Pointwise Rectangular Lipschitz Regularities for Fractional Brownian Sheets and Some Sierpinski Selfsimilar Functions. Mathematics. 2020; 8(7):1179. https://doi.org/10.3390/math8071179

Chicago/Turabian Style

Ben Slimane, Mourad, Moez Ben Abid, Ines Ben Omrane, and Mohamad Maamoun Turkawi. 2020. "Pointwise Rectangular Lipschitz Regularities for Fractional Brownian Sheets and Some Sierpinski Selfsimilar Functions" Mathematics 8, no. 7: 1179. https://doi.org/10.3390/math8071179

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