Abstract
In this paper, a novel class of quantum fractal functions is introduced based on the Meyer-König-Zeller operator . These quantum Meyer-König-Zeller (MKZ) fractal functions employ as the base function in the iterated function system for -fractal functions. For , I closed interval in , it is shown that a sequence of quantum MKZ fractal functions exists which converges uniformly to f without altering the scaling function . The shape of depends on q as well as the other iterated function system parameters. For , , we show that a sequence exists with converging to f. Quantum MKZ fractal versions of some classical Müntz theorems are also presented. For , the box dimension and some approximation-theoretic results of MKZ -fractal functions are investigated in . Finally, MKZ -fractal functions are studied in spaces with .
Keywords:
fractal interpolation function; quantum meyer-könig-zeller operator; smooth quantum fractal functions; constrained approximation; müntz polynomials MSC:
28A80; 26A06; 41A05; 41A29; 41A30; 65D05; 65D07
1. Introduction
Quantum calculus or q-calculus is calculus without the use of limits. This theory has been extensively studied in the fields of approximation theory, special functions, combinatorics, number theory, mechanics, quantum physics, and the theory of relativity. In 1987, Lupaş [1] constructed the q-analogue of Bernstein operators and established convergence estimates and shape preserving properties. In the last three decades, q-extensions of various results in classical approximation theory have been proposed by several researchers. For an albeit incomplete list, see, for instance [2,3,4,5,6,7,8,9,10,11].
Since classical approximation theory and q-approximation theory dispense with the approximation of functions using piecewise smooth functions or infinitely differentiable functions, they are not ideal tools to represent non-differentiable functions such as speech signals, bio-electric recordings, time series, financial series, or seismic data, to name a few.
Fractal functions bestow a constructive approximation theory on irregular functions or functions whose derivatives are non-smooth in nature. Fractal functions easily describe functions that have some degree of self-similarity at different scales. Using iterated function systems (IFSs), Barnsley [12] introduced the construction of fractal interpolation functions (FIFs) to obtain a mathematical representation of data sets arising from irregular functions. He conceptualized the idea of approximation of a continuous function f defined on a real compact interval I by a family of -fractal functions , where is a set of given or appropriately chosen parameters. We refer the interested reader to the vast literature on fractal functions and fractal interpolation and refer only to [13,14,15,16,17,18,19] as an albeit incomplete list of references as they appertain most closely to the setting considered in this paper.
The choice of a base function b is important in the construction of , even though it is avoided in its notation. The graph of is typically a fractal set and dimension results for classes of such fractal functions can be found in, for instance [13,20,21,22,23,24,25,26,27,28].
Shape preserving interpolants play an important role in engineering and the applied sciences. The question of shape preserving aspects of a function f by its fractal perturbation function is answered affirmatively in [29] with a suitable choice for b and .
It is known that an -fractal function of f converges to f when the magnitude of the scaling factors of goes to zero. Vijender et al. [30] proposed a theory of quantum -fractal functions using Bernstein polynomials associated with f as base function. They showed that the convergence of a sequence of quantum -fractal functions towards the function f follows from the convergence of the q-Bernstein polynomials towards f, even when the scaling parameters are non-null.
In this paper, we propose the use of quantum Meyer-König-Zeller functions as base functions, i.e., we require that , to construct a novel sequence of quantum MKZ fractal functions denoted by . It is proved that converges to f as . However, the magnitude/norm of the scaling functions does not go to 0 when is a sequence in (0,1] such that . It is also shown that the shape of depends on the scaling functions as well as . We study the shape preserving aspects of quantum MKZ fractal functions and consider quantum MKZ analogues of two classical Müntz theorems. The latter approach makes use of so-called quantum MKZ fractal Müntz polynomials.
Setting in the quantum MKZ fractal function , we obtain a novel MKZ -fractal function. Some approximation-theoretic properties and the box dimension for the graph of such an MKZ -fractal function is investigated. Finally, we study the existence of MKZ -fractal functions in spaces, , and investigate their approximation-theoretic properties.
2. Background and Preliminaries
In this section, we present the foundations of IFSs and the construction of -fractal functions from a suitable IFS. For more details, the interested reader may consult the important references [12,15,17,26,31].
Let and be the initial segment of of length N. An IFS is a collection of continuous functions on a complete metric space . is called a hyperbolic IFS if each is contractive on X, i.e., its Lipschitz constant
Let . The Hausdorff-Pompeiu metric h on is defined by
where and . It is known that if is a complete metric space then is also a complete metric space, termed the space of fractals in [32].
The Hutchinson map [31] is defined by
If the IFS is hyperbolic, then W is a contraction on with contraction factor . Thus, by the Banach fixed point theorem, a unique G in exists such that
where denotes the m-fold composition of W with itself. The fixed point G is called the attractor of, or deterministic fractal generated by, the hyperbolic IFS .
Now, consider a set of interpolation points
Let , be a set of homeomorphisms from to satisfying
For , let be a function, where K is a suitable compact subset of that contains all the , (the existence of such a set is shown in, i.e., [15]). Assume that each is continuous in the first variable and Lipschitz continuous in the second variable with Lipschitz constant , i.e.,
and
Let and define
Defining a metric on by for , makes into a complete metric space.
Define a Read-Bajraktarević (RB) operator [15] T on by
where denotes the characteristic or indicator function of a set S.
Using the properties of and , it is straight forward to verify that is continuous on I. Also,
where and . Hence, T is a contractive map on the complete metric space . Therefore, by the Banach fixed point theorem, T possesses a unique fixed point . Consequently, from (4), obeys the self-referential functional equation
on I. It can be easily verified that , .
Now, define mappings by
The graph of of is the attractor of the IFS
and satisfies the self-referential set equation
In this setting, is called a fractal interpolation function (FIF) associated with the IFS .
It was observed in [12,15,17] that the concept of FIF may be used to define a class of fractal functions associated with any function , as described in the following.
For this purpose, let . For a given , consider a partition of I satisfying , and a continuous function with that satisfies the endpoint interpolation conditions and .
Choose an . If, for , we set
and determine the constants and via the conditions (1), then the IFS
determines an attractor which is the graph of a fractal function . The function is referred to as an -fractal function for f and may be considered as the fractalization of f (with respect to the scaling vector , the base function b, and the partition ).
The function is the fixed point of the RB operator defined by [15]
on I, where Consequently, satisfies the self-referential equation
The fractal dimension of the graph of depends on the choice of the scaling vector and the [20,21].
To obtain more flexibility in the construction of fractal functions, the constant scalings , , can be replaced by continuous functions with in the IFS (8). Hence,
The corresponding -fractal function is then the fixed point of the RB-operator
and it satisfies a self-referential equation with location-dependent scalings
Using (12), it is easy to show that
The above inequality shows that an -fractal function converges uniformly to f if either or . In particular, if b is taken to be a sequence of MKZ quantum functions, the novel class of MKZ -fractal functions is obtained.
3. MKZ -Fractal Functions
We require the following notation from quantum calculus. For and , let
The q-factorial is defined as
By means of the q-factorial, the q-binomial coefficients are then defined by
for all integers .
Following [33,34,35], we define a sequence of MKZ functions on for by
with
It is easy to verify that
If in (10) we take as the base function , then the corresponding -fractal function
is termed a -fractal function or quantum MKZ fractal function associated with .
Moreover,
It follows from (14) and (15), that the various quantitative and approximation-theoretic properties of -fractal functions depend on the choices for q and the scaling functions .
The graph of a -fractal functions is constructed via the IFS
where
The following theorem ensures the convergences of a sequence of quantum MKZ fractal functions to f in the sup-norm.
Theorem 1.
Let . Then, there exists a sequence of quantum MKZ fractal functions that converges uniformly to f on I, where is a sequence in with and is the fractal function corresponding to the IFS defined in (16). Further, for each integer , we have
where ω denotes the modulus of continuity of f.
Proof.
Let , be a quantum MKZ fractal function corresponding to f. From (13), we obtain
By ([33], Theorem 2), it follows that
which implies uniform convergence of to f.
□
Example 1.
We want to construct a quantum MKZ fractal function associated with . Choose and consider its partition . Furthermore, let , , . We take as a sequence of base functions.
The quantum MKZ fractal functions are depicted in Figure 1a–c and represent the graphs of , , and , respectively, at the second level of iteration. Figure 1b,c show the effect of q on the quantum MKZ fractal function.
Figure 1.
MKZ fractal functions of .
Figure 1a,c ensure that the fractal function provides better approximation of , than . From and , we observe that these two functions do not have the same irregularity even when their scaling functions are the same. Note that exhibits irregularities on all scales, whereas exhibits irregularities on small scales. Figure 1d is the blow-up of a small part of showing irregularities of on small scales. One reason for these irregularities is that the scaling functions do not satisfy the inequalities ([36], Theorem 3.2).
Theorem 2.
Let be endowed with the sup-norm. For every , the -operator , , is bounded and linear.
Proof.
We know from [34] that is a positive linear operator. Further, it is known that , where . Then,
Thus, Hence is a bounded operator. By reference [19], we know that is a linear and bounded operator. □
4. Constrained Quantum MKZ Fractal Approximation
When we are interested in the computation of energy associated with a wave-function in the time-independent Schrödinger equation, then the energy must be non-negative [37]. Similarly, one may be interested in a non-negative solution of a q-difference equation [38], of q-fractional order differential equations [39], or the q-heat and q-wave equation [40]. As quantum fractal functions are more general than the classical q-functions, one can search for non-negative quantum MKZ fractal function solutions to these problems. For this reason, we study constrained approximation by quantum MKZ fractal functions in the following.
Theorem 3.
Let and on I. Let be a partition of I satisfying the condition and let be a sequence in (0,1] such that . Then, the sequence of IFSs determines a sequence of non-negative quantum MKZ fractal functions that converges uniformly to f if the scaling functions are chosen to satisfy the following two conditions:
- 1.
- ;
- 2.
- For all ,Here, we set , , , and . denotes a positive real number strictly larger than .
Proof.
By Theorem 1, there exists a sequence of quantum MKZ fractal functions that converges to f. Now suppose that and on I. It is known (cf. for instance, [34]) that is a positive linear operator and thus on I. This implies that is positive. We have that
Clearly, , iff , for all . Note that I is the attractor of the IFS . As is defined recursively, we only need to show that whenever using suitable restrictions on the functions .
To this end, suppose and , , is such that , for all . Now, there are two cases:
Case 1: , for all .
Then, yields . Therefore,
is true for all if
As and it is easy to verify that
if , which is equivalent to the condition
Similarly, using and , the second inequality in (22) is true, whenever , which is equivalent to
Combining, these two sub-cases, we obtain that , , for all if
Case 2: , for all .
Then yields . Hence,
is valid for all whenever
As and , then, from the first inequality in (23), we obtain . Hence,
Again, due to the fact that and , we observe that the second inequality in (23) holds if
Combining these two results, we conclude that , , for all if
Both cases yield the desired restrictions on the functions in (20). □
By Theorem 3, it is found that for every continuous function f on I with on I, there exists a sequence of non-negative quantum MKZ fractal functions which converges to f in the sup-norm.
Example 2.
Here, we give an example to illustrate Theorem 3. Let and let , . Further, let and define , , and .
Assume that , . Then, the scaling functions and the sequence fulfill the conditions stated in Theorem 3. In Figure 2a, the fractal quantum MKZ fractal function is shown and provides a positive approximation for f.
Figure 2.
Positivity of MKZ fractal function according to Theorem 3. A positive quantum MKZ fractal function (a) and a non−positive quantum MKZ fractal function (b).
The following theorem gives the existence of a double sequence of positive quantum MKZ fractal functions which converges to f in the sup-norm.
Theorem 4.
Let be a sequence of positive functions in that converges to . Let be a partition of I satisfying the condition and let be a sequence in (0,1] such that .
Suppose that , , are affine maps of the form satisfying the conditions , . Let
Let be the MKZ fractal function associated with the IFS
Then, the double sequence of IFSs generates a double sequence of positive quantum MKZ fractal functions which converges to f in sup-norm provided that all scaling functions obey the conditions:
- 1.
- ;
- 2.
- For all ,where , , , and . Here, denotes a positive real number strictly greater than .
Proof.
It follows easily from Theorem 3 that the MKZ fractal functions are positive on I if the scaling functions , , obey the inequalities in (24).
Let . As is a sequence of positive functions in that converges to f in , there exists a natural number such that
Employing Theorem 2 of [33], we can see that for each , , as . Thus, there exists a such that
Given that is the MKZ fractal function obtained from the IFS , satisfies the functional equation
on I. It is easy to derive the following estimate from (27):
From (26) and (28), we obtain
Combining (25) and (29) shows that for a given , there exists a such that
confirming that the sequence converges uniformly to f. □
The following theorem gives the existence of a one-sided sequential approximation by MKZ fractal functions.
Theorem 5.
Let with on I. Let be a partition of I satisfying the condition and let be a sequence in such that . For all , let denote the MKZ fractal functions associated with the IFS .
Then, the sequence of IFSs determines a sequence of MKZ fractal functions with on I, , and this sequence converges uniformly to f, provided that the scaling vector α of each satisfies the following conditions:
- 1.
- ;
- 2.
- For each ,where , , and .
Proof.
By the construction of the MKZ fractal function, we observe that satisfies the following functional equation for :
This functional equation is a rule to obtain the values of at distinct points in I at the -th iteration using the value of at points in I at the r-th iteration. Thus, if we can show that the result is true at the first iteration, then it is true for all subsequent iterations.
We begin the iteration process at the nodal points , , where g as interpolates f at these nodes and . Now, we want to verify that on . By (31), this is equivalent to proving that
If we choose the functions to be positive, then the above inequality is true provided that
The sufficient condition for the validity of the above inequality is
Therefore, if the functions , , are chosen according to (30), then on I. □
Example 3.
Let and be two continuous functions defined on and let be a uniform partition of I. Further, let , .
If we take , , and , then the scaling vector α satisfies the required conditions (30) in Theorem 5. Figure 3a shows the MKZ fractal function and verifies that on I.
Corollary 1.
Let with on I. Let be a partition of I satisfying the condition and let be a sequence in such that . Then, there exist sequences and of -fractal functions which converge to f and g, respectively, and which satisfy on I, whenever the scaling functions are chosen according to
where and .
Proof.
The corollary follows immediately from Theorem 5 by choosing f as and . □
Example 4.
In this example, we illustrate Corollary 1. To this end, let and , . Let and choose , , and . Further, let , . Then f and g, the scaling functions , and satisfy the required conditions in Corollary 1. (See, also Figure 4a). Figure 4b depicts the quantum MKZ fractal functions on I.
Figure 4.
MKZ fractal functions preserving positivity.
Theorem 6.
Let be convex and , for all Then for all and the sequence is non-increasing for each .
Proof.
Using the functional Equation (15) of and keeping (Theorem 3.2, [34]) in mind, we conclude that for , ,
By means of (34), we conclude that ensuring that . As the fractal function is constructed iteratively, we obtain for all .
(15) and the functional equations of and , respectively, yield
Note that both and join up at the interpolation data points and that subsequent values are generated iteratively from the same data. Taking their difference and using the fact that for all (cf. Theorem 3.3, [34]), we obtain that, for all , and ,
As the right hand side of (35) is zero at the first iteration, it is ensured that for all . □
Remark 1.
Using the hypotheses of Theorem 1 and Theorem 6, we can construct a non-increasing sequence of positive quantum MKZ fractal functions converging to , provided f is convex and non-negative.
5. Approximation with Quantum MKZ Fractal Müntz Polynomials
Let , with if , , and . The set of real-valued monomials
is called a finite Müntz system. The linear space
is known as a (finite) Müntz space and
is referred to as the Müntz system corresponding to .
Definition 1.
Let and let be a partition of I satisfying . Suppose , where is a bounded function on I with .
A quantum MKZ fractal Müntz polynomial is a finite linear combination of functions , , , where
is a quantum MKZ fractal Müntz monomial.
For , we have that
Let . Then, the set is termed a quantum MKZ fractal Müntz space associated with .
Theorem 7.
(Fractal version of the full Müntz theorem in : Let be a partition of satisfying and let be a sequence in (0,1] such that . Let , where is a bounded function on I with , . Further, let be a sequence of distinct positive real numbers. Then, the set
is dense in with respect to the sup norm if
Proof.
Let and be given. Then, by the classical Müntz theorem [41], we know that is dense in with respect to the sup-norm if , where is a sequence of distinct positive real numbers. Hence, there exists a Müntz polynomial , such that
Since p is continuous, as by Theorem 1. Therefore, there exists a natural number such that
where . Now, by (37) and (38),
Hence, there exists a sequence of quantum MKZ fractal Müntz polynomials converging to f in sup-norm; and thus, S is dense in . □
Using arguments similar to those in the proof of Theorem 7, we can prove Theorem 8 using the classical Müntz second theorem (see for instance [41,42]).
Theorem 8.
(Fractal version of Müntz second theorem in Let be partition of satisfying and let be a sequence in such that . Let be a scaling vector, where each is a bounded function on I with , . Let be a sequence of distinct positive real numbers such that . Then, S is dense in with respect to the sup-norm provided that
Proof.
Let and . Then, the classical Müntz theorem [41] ensures the existence of Müntz polynomial such that . By (38), there exists a natural number such that . These two inequalities imply . Hence, S is dense in with respect to the sup norm. □
Theorem 9.
Let where be a partition of and let be a sequence in such that . Let be a vector of scaling functions where is a bounded function on I with , . If is dense in , then
is also dense in .
Proof.
Let and be given. By the density of the set S in , there exists a polynomial of the form , such that . Using Theorem 1, we get . Finally, these two inequalities result in . Therefore, S is dense in . □
6. Approximation by MKZ Fractal Functions
In this section, we investigate some approximation-theoretic properties of MKZ fractal functions and derive conditions for such functions to belong to a Lebesgue space , .
6.1. MKZ-Fractal Approximation and Integral MKZ Fractal Functions
If we set in (14), then the q-MKZ series becomes a classical MKZ series , which is also known as the MKZ series of (see, for instance, [34,43]). The MKZ series is given by the following expression:
with
satisfies the endpoint interpolation conditions
The IFS with maps given by (10), where the base function is taken to be , determines an -fractal function
termed an MKZ -fractal function associated with . Furthermore, this MKZ -fractal function satisfies the functional equation
on I.
It is easy to obtain the estimate
Even if , we can get the convergence of to f as by the following corollaries.
Corollary 2.
Let and . Then converges to f as , and
where ω denotes the usual modulus of continuity of a function f.
Proof.
Corollary 3.
Let and . Then, the uniform error between the MKZ α-fractal functions and its germ f is given by
where ω denotes the usual modulus of continuity of f.
Proof.
Definition 2.
Let , and . Then, is the set of all functions satisfying
Such functions are also called uniformly hölderian with exponent β.
Corollary 4.
Let with for . Further, let . Then, the fractal function defined in (41) satisfies the following estimate:
Proof.
It is known by Corollary 2.6 of [44] that
Employing the above estimate in (42), we obtain the required inequality. Thus, in this case, the convergence rate of to the germ function f is faster than that for or . □
Proposition 1.
(Cf. [43]). Given a continuous function , it holds that
where is the sequence of MKZ operators defined in (39).
The computation of the box and Hausdorff dimension of fractal sets and, in particular, of the graph of fractal functions was carried out by several researchers, i.e., [13,21,22,23,24,25,27]. Below, we present a result for the box dimension of MKZ -fractal functions.
Theorem 10.
Let be uniformly hölderian with exponent satisfying and . Suppose is a uniform partition of I satisfying , for and .
Consider the IFS where is an affine map with
and
Further, assume that the set of interpolation points is not collinear. Let
Then, the box dimension of the graph of has the following bounds:
Proof.
By Proposition 1, implies . Therefore, is also hölderian with exponent . The statements follow from ([20], Theorem 3.1) for Hölder functions. □
6.2. MKZ -Fractal Functions in -Spaces
Given , , where , the integral MKZ operator [45] is defined as
where
and
with denoting the characteristic function on .
In the following theorem, we define MKZ -fractal functions in -spaces using as base function .
Theorem 11.
Let with and let . Suppose that is a partition of I. Denote by , , and the subintervals of I induced by Δ.
Define affine maps on I by . Assume that
Suppose for . Define an RB-operator as follows:
Assume that the vector of scaling functions satisfies
Then T is a contraction map on with Lipschitz constant Λ and its unique fixed point satisfies
Furthermore, the mapping with
is a bounded linear operator.
Proof.
Using the same arguments as in the proof of ([36], Theorem 2.1), we can easily verify that T is contractive. The remaining part follows using Theorem 3.4 in [46]. □
Theorem 12.
Let , . The MKZ fractal functions , , defined in Theorem 11 converge in -norm to f as and satisfy the estimate
with a constant independent of f and p, and
where is the norm taken over the interval .
Proof.
It is known from Theorem 3 in [45] that , for some . Using this result in (53), we obtain the required estimate. □
Now we give the MKZ-fractal version of the Full Müntz Theorem for .
Theorem 13.
Let be the sequence of district real numbers such that , for all , where and is defined as in (51). Then, the MKZ Müntz space
is dense in if
Proof.
Let and be given. By [41], it is known that the space
is dense in . Therefore, there exists a Müntz polynomial , , such that
As , there exists a natural number such that
Using the linearity of , we can write and, thus, the above inequality becomes
From (54) and (55), we obtain
Hence S is dense in . □
6.3. A remark about the Case
Recall that for , the Lebesgue spaces , a compact interval, are F-spaces whose topology is induced by the complete translation invariant metric
(see, [47], 1.47).
We will show by a counterexample that the above results do not extend to the case . For this purpose, we need to quote a theorem of Orlicz’s.
Theorem 14.
(Orlicz’s Theorem [48]). Suppose that the kernel is measurable in the square , and that
with a constant M and for all . Then, for , the singular integral
exists for a.e. x and is a function of the class . If in addition strongly for all elements of a set which is everywhere dense in , then this is also true for any :
Orlicz theorem is only true for . The following example shows that the above theorem does not hold for :
Example 5.
Let , , , and . Then, for and satisfy all required conditions of Orlicz’s theorem, but
For , Müller [45] proved that the operator is well-defined and bounded using Orlicz’s result, see Theorem 14. The above choices for and f imply that Orlicz’s theorem fails to prove the well-definiteness of the operator in for . More precisely, take again . As seen above, for . By the positivity of (i.e., the series given below is a series of positive terms), we have
where and are given by (47) and (48), respectively. Hence, the integral MKZ operators are not well-defined on for .
7. Conclusions
In this paper, a novel class of fractal functions is introduced using quantum Meyer-König-Zeller (MKZ) functions as base functions in the -fractal interpolation procedure. For , we have constructed a sequence of quantum MKZ fractal functions that converges uniformly to f without altering the scaling functions. The convergence and shape of quantum fractal approximants depend on the variable as well as the scaling functions. For a given positive function , we have generated a sequence of positive MKZ fractal functions that converges uniformly to f provided the scaling functions satisfy certain growth restraints. We have shown the existence of one-sided MKZ fractal approximants for a given function and proved MKZ fractal versions of Müntz theorems in . Finally, we have investigated some approximation-theoretic properties of MKZ -fractal functions in and -spaces.
Author Contributions
Conceptualization, D.K. and A.K.B.C.; methodology, D.K. and P.R.M.; validation, P.R.M., and A.K.B.C.; formal analysis, D.K.; writing—original draft preparation, D.K.; writing—review and editing, A.K.B.C. and P.R.M.; supervision, A.K.B.C. and P.R.M.; All authors have read and agreed to the published version of the manuscript.
Funding
The second author would like to thank IIT Madras for the Institute of Eminence project: SB20210848MAMHRD008558 from Ministry of Education, Government of India.
Acknowledgments
The authors would like to thank the anonymous reviewers for their constructive suggestions which helped to improve the presentation of the paper.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Lupaş, A. A q-analogue of the Bernstein operators. In Seminar on Numerical and Statistical Calculus (Cluj-Napoca, 1987); Univ. Babes: Bolyai, Cluj-Napoca, 1987; pp. 85–92, preprint. [Google Scholar]
- Annaby, M.H.; Mansour, Z.S. q-Fractional Calculus and Equations; Springer: New York, NY, USA, 2012. [Google Scholar]
- Ernst, T. A Comprehensive Treatment of q-Calculus; Birkhäuser Verlag: Basel, Switzerland, 2012. [Google Scholar]
- Exton, H. q-Hypergeometric Functions and Applications; Halstead Press: New York, NY, USA, 1983. [Google Scholar]
- Gal, S.G.; Gupta, V. Approximation of vector-valued functions by q-Durrmeyer operators with applications to random and fuzzy approximation. Oradea Univ. Math. J. 2009, 16, 233–242. [Google Scholar]
- Gupta, V. Some approximation properties on q-Durrmeyer operators. Appl. Math. Comput. 2008, 197, 172–178. [Google Scholar] [CrossRef] [Scilit]
- Gupta, V.; Heping, W. The rate of convergence of q-Durrmeyer operators for 0 < q < 1. Math. Meth. Appl. Sci. 2008, 31, 1946–1955. [Google Scholar]
- Ostrovska, S. The sharpness of convergence results for q-Bernstein polynomials in the case q > 1. Czech. Math. J. 2008, 58, 1195–1206. [Google Scholar] [CrossRef] [Scilit]
- Ostrovska, S. On the image of the limit q-Bernstein operator. Math. Meth. Appl. Sci. 2009, 32, 1964–1970. [Google Scholar] [CrossRef] [Scilit]
- Phillips, G.M. Bernstein polynomials based on the q-integers. Ann. Numer. Math. 1997, 4, 511–518. [Google Scholar]
- Kac, V.; Cheung, P. Quantum Calculus; Springer: New York, NY, USA, 2002. [Google Scholar]
- Barnsley, M.F. Fractal functions and interpolation. Constr. Approx. 1986, 2, 303–329. [Google Scholar] [CrossRef] [Scilit]
- Falconer, K.J. The Hausdorff dimension for self-affine fractals. Math. Proc. Camb. Phil. Soc. 1988, 103, 339–350. [Google Scholar] [CrossRef] [Scilit]
- Massopust, P.R. Fractal functions and their applications. Chaos Solitons Fractals 1997, 8, 171–190. [Google Scholar] [CrossRef] [Scilit]
- Massopust, P.R. Fractal Functions, Fractal Surfaces, and Wavelets, 2nd ed.; Academic Press: San Diego, CA, USA, 2016. [Google Scholar]
- Massopust, P.R. Non-Stationary Fractal Interpolation. Mathematics 2019, 7, 666. [Google Scholar] [CrossRef] [Scilit]
- Navascués, M.A. Fractal polynomial interpolation. Z. Anal. Anwend. 2005, 24, 401–418. [Google Scholar] [CrossRef] [Scilit]
- Navascués, M.A. Non-smooth polynomials. Int. J. Math. Anal. 2007, 1, 159–174. [Google Scholar]
- Navascués, M.A.; Chand, A.K.B. Fundamental sets of fractal functions. Acta Appl. Math. 2008, 100, 247–261. [Google Scholar] [CrossRef] [Scilit]
- Akhtar, M.N.; Prasad, M.G.P.; Navascués, M.A. Box dimensions of α-fractal functions. Fractals 2016, 24, 1650037. [Google Scholar] [CrossRef] [Scilit]
- Barnsley, M.F.; Elton, J.; Hardin, D.P.; Massopust, P.R. Hidden variable fractal interpolation functions. SIAM J. Math. Anal. 1989, 20, 1218–1248. [Google Scholar] [CrossRef] [Scilit]
- Barnsley, M.F.; Massopust, P.R. Bilinear fractal interpolation and box dimension. J. Approx. Theory 2015, 192, 362–378. [Google Scholar] [CrossRef] [Scilit]
- Bedford, T. Dimension and dynamics for fractal recurrent sets. J. Lond. Math. Soc. 1986, 33, 89–100. [Google Scholar] [CrossRef] [Scilit]
- Bedford, T. The box dimension of self-affine graphs and repellers. Nonlinearity 1989, 2, 53–71. [Google Scholar] [CrossRef] [Scilit]
- Falconer, K.J.; Marsh, D.T. The dimension of affine-invariant fractals. J. Phys. A Math. Gen. 1988, 21, L121. [Google Scholar] [CrossRef] [Scilit]
- Falconer, K.J. Fractal Geometry – Mathematical Foundations and Applications; John Wiley & Sons: Michester, UK, 1990. [Google Scholar]
- Hardin, D.P.; Massopust, P.R. Fractal interpolation functions from Rn to Rm and their projections. Z. Anal. Anwend. 1993, 12, 535–548. [Google Scholar] [CrossRef] [Scilit]
- Urbański, M. Hausdorff dimension of the graphs of continuous self-affine functions. Proc. Am. Math. Soc. 1990, 108, 921–930. [Google Scholar] [CrossRef] [Scilit]
- Viswanathan, P.; Chand, A.K.B.; Navascués, M.A. Fractal perturbation preserving fundamental shapes: Bounds on the scale factors. J. Math. Anal. Appl. 2014, 419, 804–817. [Google Scholar] [CrossRef] [Scilit]
- Vijender, N.; Chand, A.K.B.; Navascués, M.A.; Sebastián, M.V. Quantum α-fractal approximation. Int. J. Comput. Math. 2021, 98, 2355–2368. [Google Scholar] [CrossRef] [Scilit]
- Hutchinson, J.E. Fractals and self-similarity. Indiana Univ. J. Math. 1981, 30, 713–747. [Google Scholar]
- Barnsley, M.F. Fractals Everywhere; Academic Press: San Diego, CA, USA, 1988. [Google Scholar]
- Heping, W. Properties of convergence for the q-Meyer-König and Zeller operators. J. Math. Anal. Appl. 2007, 335, 1360–1373. [Google Scholar] [CrossRef] [Scilit]
- Trif, T. Meyer-König and Zeller operator based on the q-integers. Rev. Anal. Numér. Théor. Approx. 2000, 29, 221–229. [Google Scholar]
- Aral, A.; Gupta, V.; Agarwal, R.P. Applications of q-Calculus in Operator Theory; Springer: New York, NY, USA, 2013. [Google Scholar]
- Vishwanathan, P.; Navascués, M.A.; Chand, A.K.B. Associate fractal functions in Lp-spaces and in one-sided uniform approximation. J. Math. Anal. Appl. 2016, 433, 862–876. [Google Scholar] [CrossRef] [Scilit]
- Schroeder, D.V. Notes on Quantum Mechanics; Weber State University: Ogden, UT, USA, 2022. [Google Scholar]
- El-Shahed, M.; Hassan, H.A. Positive solutions of q-difference equation. Proc. Am. Math. Soc. 2010, 138, 1733–1738. [Google Scholar] [CrossRef] [Scilit]
- Tang, Y.; Zhang, T. A remark on the q-fractional order differential equations. Appl. Math. Comput. 2019, 350, 198–208. [Google Scholar] [CrossRef] [Scilit]
- Bettaibi, N.; Mezlini, K. On the use Of the q-Mellin transform to solve some q-heat and q-wave equations. Int. J. Math. Arch. 2012, 3, 446–455. [Google Scholar]
- Borwein, P.; Erdélyi, T. The full Müntz theorem in C[0,1] and L1[0,1]. J. Math. Soc. 1996, 54, 102–110. [Google Scholar]
- Cheney, E.W. Introduction to Approximation Theory; McGraw-Hill: New York, NY, USA, 1966. [Google Scholar]
- Trif, T. An elementary proof of the preservation of Lipschitz constants by the Meyer-König and Zeller operators. JIPAM J. Inequal. Pure Appl. Math. 2003, 4, 1443–5756. [Google Scholar]
- Lupaş, A.; Müller, M.W. Approximation properties of the Mn-operators. Aequ. Math. 1970, 5, 19–37. [Google Scholar] [CrossRef] [Scilit]
- Müller, M.F. Lp-approximation by the method of integral Meyer-König and Zeller operators. Stud. Math. 1978, 63, 81–88. [Google Scholar] [CrossRef] [Scilit]
- Chand, A.K.B.; Jha, S.; Navascués, M.A. Kantorovich-Bernstein α-fractal function in Lp spaces. Quaest. Math. 2020, 43, 227–241. [Google Scholar] [CrossRef] [Scilit]
- Rudin, W. Functional Analysis, 2nd ed.; McGraw Hill: New York, NY, USA, 1991. [Google Scholar]
- Lorentz, G.G. Bernstein Polynomials; Mathematical Expositions, No. 8; University of Toronto Press: Toronto, ON, Canada, 1953; 130p. [Google Scholar]
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