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Springer Nature - PMC COVID-19 Collection logoLink to Springer Nature - PMC COVID-19 Collection
. 2023 May 31:1–8. Online ahead of print. doi: 10.1140/epjs/s11734-023-00865-x

Local α-fractal interpolation function

Akash Banerjee 1,, Md Nasim Akhtar 1,2,#, M A Navascués 1,#
PMCID: PMC10231303  PMID: 37359184

Abstract

Constructions of the (global) fractal interpolation functions on standard function spaces got a lot of attention in the last centuries. Motivated by the newly introduced local fractal functions corresponding to a local iterated functions system which is the generalization of the traditional iterated functions system we construct the local non-affine α- fractal functions in this article. A few examples of the graphs of these functions are provided. A fractal operator which takes the classical function to its local fractal counterpart is defined and some of its properties are also studied.

Introduction

Fractal functions are used as an alternative tool for interpolation and approximation purposes. It was first introduced by Barnsley [1] such that the graph of this function is the attractor of some iterated function system (IFS). Fractal functions usually are non-smooth functions and they interpolate a set of given data, for example, {(xi,yi)R2:xi<xi+1,i=1,2,,K}, which is quite different from the traditional interpolation techniques, where one can only produce piece-wise differentiable interpolation functions. Fractal interpolation functions are used in many diverse areas, like data analysis, image compression, signal processing etc [1721]. For instance, in [19] Fractal functions are used to predict the seven-day moving average of daily positive cases due to COVID-19, for the upcoming three months from December 13, 2021, of six countries including India.

Motivated by the work of Barnsley [1], Navascués [3] defined a special kind of fractal function known as α-fractal function. These functions not only interpolate but also approximate any continuous function defined on compact intervals of R. By choosing the base function (see Sect. 2.3) as a nowhere differentiable function ( like, a Weierstrass function [16]) one can have non-smooth analogues of a continuous function. In consecutive papers [914], fractal dimension of α-fractal function is also studied.

In a more general and flexible setting Masssopust [6] defined local fractal functions, which are fixed points of a particular class of Read-Bajactarević (RB) operators defined on the space of all bounded functions. The author also showed that the graphs of these local fractal functions are attractors of a specific local IFS. Massopust also defined local fractal functions on unbounded domains and derived conditions so that local fractal functions are elements of various standard function spaces like Lebesgue spaces, the smoothness spaces, the homogeneous Hölder spaces, the Sobolev spaces, Besov and Triebel-Lizorkin spaces (see [68]).

In this paper, we construct a generalised version of α-fractal functions through the lens of local fractal functions. These local α-fractal functions interpolate as well as approximate bounded functions on compact intervals of R.

This paper is structured as the following. In Sect. 2 first, we introduce iterated function systems and define the attractor of an IFS, then we provide the construction of fractal interpolation functions and α-fractal functions, also a brief summary of local fractal functions is given. In Sect. 3, we give the construction of the local α-fractal function, provide some examples and also define an operator attached to local α-fractal functions and study some properties of this operator.

Preliminaries

Iterated function system

Let X be a topological space and βi:XX (i=1,2,,K;KN) are continuous functions. The space X with the functions βi is called an iterated function system or IFS and it is denoted by {X;βi:i=1,2,,K}. Let HX be the set of all non-empty compact subsets of X. Define the Hutchinson operator Q:HXHX by

Q(S)=i=1Kβi(S) 1

SHX. When X is a metric space with metric dX, we can define a metric dH on the space HX by,

dH(S1,S2)=inf{ϵ0:S1N(S2,ϵ),S2N(S1,ϵ)} 2

for S1,S2HX, where

N(S,ϵ)={xX:dX(x,s)ϵfor somesS}. 3

When (X,dX) is complete then (HX,dH) is also complete. The IFS {X;βi:i=1,2,,K} is called hyperbolic if the maps βi’s are contractions, that is, there exists θi[0,1) such that

dX(βi(x),βi(y))θidX(x,y) 4

And in that case, Q is also a contraction map on the complete metric space (HX,dH) [15]. A set BHX is called an attractor of the IFS {X;βi:i=1,2,,K}, if

Q(B)=B. 5

When Q is a contraction on the complete metric space (HX,dH) by the Banach fixed point theorem there exists a unique set BHX such that Q(B)=B i.e. B is the unique attractor of the associated IFS {X;βi:i=1,2,,K}.

Fractal interpolation function

Let {xi:i=0,1,,K}R, where KN, be such that xi<xi+1,i{0,1,,K-1}. Let A=[x0,xK] be a closed and bounded interval. Let {(xi,yi):i=0,1,,K} be a set of data points. Setting Ji=[xi-1,xi], define Li:AJi be such that,

Li(x0)=xi-1,Li(xK)=xi 6

and

|Li(c)-Li(d)|l|c-d| 7

where l[0,1) and for all c,dA and i=1,2,,K. Let αi(-1,1) and continuous maps Fi:A×RR be such that

Fi(x0,y0)=yi-1,Fi(xK,yK)=yi 8

and

|Fi(c,d1)-Fi(c,d2)||αi||d1-d2| 9

for all i=1,2,,K and cA and d1,d2R. Define the maps wi:A×RJi×R by

wi(x,y)=(Li(x),Fi(x,y)),(x,y)A×R. 10

Let G={g:ARgis continuous andg(x0)=y0,g(xN)=yN}. G forms a complete metric space with respect to the sup metric

d(g1,g2)=sup{|g1(x)-g2(x)|:xA}.

Theorem 1

[Barnsley [1]] The IFS A×R;wi:i=1,2,,K has a unique attractor G, which is the graph of a continuous function f^:AR such that f^(xi)=yi,i=0,1,,K.

Following is an example of a fractal interpolation function.

Example 1

Let {(i,sin(6i))i=0,1/2,1} be a data set. A FIF corresponding to this data set is given in Fig. 1.

Fig. 1.

Fig. 1

FIF corresponding to the data set {(i,sin(6i))i=0,1/2,1}

Define an operator T:GG by,

Tg(x)=Fi(Li-1(x),gLi-1(x)),xJi,wherei=1,2,,K. 11

Then T is a contraction on G, i.e for g1,g2G

Tg1(x)-Tg2(x)|α|g1(x)-g2(x),for allxA, 12

where |α|:=max{|αi|:i=1,2,,K}. Since αi(-1,1), |α|[0,1).

Again by Banach fixed point theorem, T being a contraction on the complete metric space G, has a unique fixed point which is f^ itself, i.e. T(f^)=f^. f^ is called a FIF corresponding to the data set {(xi,yi):i=0,1,,K}.

One of the widely popular ways of defining a FIF is by choosing the maps Li’s and Fi’s as the following,

Li(x)=aix+di,Fi(x,y)=αiy+qi(x),i=1,2,,K 13

where the constants ai,di are determined by (6) and the maps qi:AR are chosen continuous functions such that (8) holds. If we choose qi(x) to be linear then the corresponding FIF is called an Affine FIF (cf. [1, 2]).

Construction of α-fractal function

Set C(A) as the space of all real valued continuous functions on A equipped with the sup norm g=sup{|g(x)|:xA}. Let gC(A). Navascués in [3, 4] took

qi(x)=g(Li(x))-αi·b(x),i=1,2,,K 14

where bC(A) with b(x0)=f(x0),b(xK)=f(xK) and bg. b is known as the base function.

Definition 1

[4] Let gα be the continuous function whose graph is the attractor of the IFS (10), (13) and (14). Then, the function gα is called the α-fractal function associated to g with respect to the base function b(x) and the partition Δ=(x0<x1<<xK).

Following is an example of a α-fractal function.

Example 2

The Fig. 2 represents a α-fractal function corresponding to the function sin(6x).

Fig. 2.

Fig. 2

α-Fractal function corresponding to sin(6x)

The choices made in (13) and (14), shapes T into a particular form as the following,

Tg(x)=f(x)+αi·(g-b)Li-1(x),xJi,i=1,2,,K. 15

Hence gα satisfies the following self-referential equation

gα(x)=f(x)+αi·(g-b)Li-1(x),xJi,i=1,2,,K. 16

Construction of local fractal function

In this section, we introduce the construction, given by P. R. Massopust [6] of bounded local fractal functions. These functions are defined as the fixed points of a particular type of RB operators acting on the complete metric space of bounded functions.

For this purpose, let {Yi:i=1,2,,K} be a family of nonempty connected subsets of a connected topological space Y. Suppose {λi:YiYi=1,2,,K} is a family of injective mappings with the property that {λi(Yi):i=1,2,,K} forms a partition of Y. Now suppose that (Z,dZ) is a complete linear metric space and B(Y,Z):={g:YZgis bounded}, endowed with the sup metric d(g1,g2)=sup{dY(g1(y),g2(y)):yY}.

For i{1,2,,K}, define γi:Yi×ZZ be a mapping such that r[0,1) and yYi and z1,z2Z

dZ(γi(y,z1),γi(y,z2))r·dZ(z1,z2). 17

That is, γi is uniformly contractive in the second variable.

Now we can define a RB operator T:B(Y,Z)ZY by

Th(y):=i=1Kγi(λi-1(y),hiλi-1(y))χλi(Yi)(y) 18

   where hi:=hYi and

χM(y)=1,yM0,yM.

One can check that T is a well-defined contraction on the complete metric space B(YZ) and hence by the Banach Fixed Point Theorem T has, therefore, a unique fixed point g in B(YZ). This unique fixed point is called a local fractal function g=gΦ (generated by T) [6].

Local α-fractal function

Let {Ai:i=1,2,,K} be a collection of non-empty connected subsets of A=[x0,xK] such that x0Ai,i{1,2,,K} and xKAK.

Also let, λi:AiA be injective maps with the following properties:

  1. {λi(Ai):i=1,2,,K} forms a partition of A, i.e.
    • i=1Nλi(Ai)=A and
    • λi(Ai)λj(Aj)=.
  2. λi(x0)=xi-1,i=1,2,,KandλK(xK)=xK 19

For i{1,2,,K}, define γi:Ai×RR be a mapping for which r[0,1) such that, aAi and b1,b2R

|γi(a,b1)-γi(a,b2)|r|b1-b2| 20

that is, γi is uniformly contractive in the second variable.

Set B(A,R)={g:ARgis bounded} and define a metric d(f,g)=supxA|f(x)-g(x)|. Then (B(A,R),d) is a complete metric space.

Define a RB operator T:B(A,R)RA by

Th(x):=i=1Kγi(λi-1(x),hiλi-1(x))χλi(Ai)(x), 21

where hB(A,R),    χS(x)=1,xS0,xS.     and    hi:=hAi.

Note that T is well-defined and T(B(A,R))B(A,R).

Also, for h,gB(A,R)

d(Th,Tg)=supxA|Th-Tg|=supi{1,2,,K}supxλi(Ai)|γi(λi-1(x),hiλi-1(x))-γi(λi-1(x),giλi-1(x))|supi{1,2,,K}supxλi(Ai)r|hiλi-1(x)-giλi-1(x)|rsupi{1,2,,K}supxλi(Ai)|hiλi-1(x)-giλi-1(x)|rsupxA|h(x)-g(x)|=rd(h,g)

which shows that T is a contraction on the complete metric space B(A,R). Hence by Banach Fixed Point theorem there exists a unique hB(A,R) such that T(h)=h, that is T has a unique fixed point h in B(A,R). This unique fixed point is called local fractal function h=hT (generated by T).

Next, we would like to a particular form of the maps γi. Let the maps γi:Ai×RR be defined by the following,

γi(x,y):=qi(x)+αi(x)y, 22

where qi,αiB(Ai,R),i{1,2,,K}.

Now, for aAi and b1,b2R

|γi(a,b1)-γi(a,b2)|=|αi(a)×(b1-b2)|αi,Ai|b1-b2||α||b1-b2|

where αi,Ai:=sup{|αi(x)|:xAi} and |α|:=max{|αi|,Ai:i=1,2,,K}. Hence for γi to satisfy (20) we need |α|[0,1).

Continuing with this choice of γi’s, the operator T takes the following form

Th=i=1K(qiλi-1)·χλi(Ai)+i=1K(αiλi-1)·(hiλi-1)·χλi(Ai) 23

Hence by Theorem 3 in [6] there exist a unique hB(A,R) such that T(h)=h i.e h satisfies the self-referential equation

h=i=1K(qiλi-1)·χλi(Ai)+i=1K(αiλi-1)·(hiλi-1)·χλi(Ai) 24

where hi=hAi.

This unique fixed point h in (24) is called bounded local fractal function generated by T with respect to the set of functions {qii=1,2,,K} and {αii=1,2,,K}.

Let H:={gB(A,R)g(x0)=y0andg(xK)=yK}. Then (H,d) is a complete metric space.

Now we would like to consider the functions qi in a special form,

qi(x):=gλi(x)-αi(x)·b(x) 25

where g,bH are such that gb and g(xi)=yi for i=0,1,,K.

By this choice, it is clear that qiB(Ai,R) and hence the operator in (23) can be written in the following form,

Th=i=1K{g-(αi·b)λi-1}·χλi(Ai)+i=1K(αiλi-1)·(hiλi-1)·χλi(Ai)=i=1Kg·χλi(Ai)+i=1K{(αi·hi)λi-1-(αi·b)λi-1}·χλi(Ai)=g+i=1K{αi·(hi-b)λi-1}·χλi(Ai)

or, equivalently

Th=g+αi·(hi-b)λi-1,onλi(Ai),fori=1,2,,K. 26

Again by using (26) and (19), for hH we have

Th(x0)=g(x0)+α1(λ1-1(x0))·(h1(λ1-1(x0))-b(λ1-1(x0)))=g(x0)+α1(x0)·(h1(x0)-b(x0))=g(x0)+α1(x0)·(y0-y0)=g(x0)=y0.

Similarly, it can be checked that Th(xK)=yK.

So we can consider T as an operator on H i.e. T:HH is given by

Th=g+αi·(hi-b)λi-1,onλi(Ai),fori=1,2,,K. 27

Hence T is a contraction mapping on the complete metric space (H,d). So T possesses a unique fixed point say gαH.

Hence for fixed g,bH and for a selected collection of non-empty connected subsets P:={AiA:i=1,2,,K} and injective maps F:={λi:AiAi=1,2,,K} there is a unique gαH such that T(gα)=gα i.e. gα satisfies the self-referential equation

gα=g+αi·(giα-b)λi-1,onλi(Ai),fori=1,2,,K. 28

wheregiα=gαAi.

gα will be called the local α-fractal function associated to g with respect to b and P,F.

Using (19) and since gαH, bH and g(xi)=yi,i{0,1,,K}, we have for i=0,1,,K-1

gα(xi)=g(xi)+αi+1(λi+1-1(xi))·(gi+1α(λi+1-1(xi))-b(λi+1-1(xi)))=g(xi)+αi+1(x0)·(gi+1α(x0)-b(x0))=g(xi)+αi(x0)·(y0-y0)=g(xi)=yiandgα(xK)=g(xK)+αKλK-1(xK)·(gKα(λK-1(xK))-b(λK-1(xK)))=g(xK)+αK(xK)·(gKα(xK)-b(xK))=g(xK)+αi(xK)·(yK-yK)=g(xK)=yK.

This shows that gα interpolates g at {xi:i=0,1,,K}.

Remark 1

If for all i{1,2,,K},αi0 that is |α|=0, then (28) implies gα=g.

Theorem 2

Let {(xi,yi)R×R:xi<xi+1,i=0,1,,K} be a data set. Let P:={AiA:i=1,2,,K} be a collection of non-empty connected subsets and F:={λi:AiAi=1,2,,K} be a collection of injective maps with properties mentioned above. Let gB(A,R) such that g(xi)=yi,i=0,1,,K be fixed. Let

α:=(α1,α2,,αK)×i=1KB(Ai,R)

be such that |α|[0,1). Also, let bH with bg. Define T:HH by

Th=g+αi·(hi-b)λi-1,onλi(Ai),fori=1,2,,K.

where hi:=hAi. Then T is a contraction on the complete metric space H and its unique fixed point gα satisfies the self-referential equation

gα=g+αi·(giα-b)λi-1,onλi(Ai),fori=1,2,,K.

where giα=gαAi. Also gα interpolates g at {xi:i=0,1,,K}.

Proof

The proof follows from the previous analysis.

A Local α-fractal function corresponding to a continuous function is given in the following example.

Example 3

Let the data set be (i16,sin6·i16): i=0,1,,16. Let A=[0,1]. Let Ai=[0,i16] and λi=xi+i-116,i=1,2,,16. Fix g(x)=sin6x. Then by choosing b(x)=sin6·x the corresponding local α-fractal function is shown in Fig. 3a and 3b with respect to the following scale vectors

Fig. 3.

Fig. 3

The graph of sin6x (black) and its corresponding local α-fractal function (orange)

  1. αi=0.2,i=odd-0.2,i=even;

  2. αi(x)=0.5·sin60x,i=1,5,9,13exp-2x-1·0.5·sin60x,i=2,6,10,140.5·cos30x,i=3,7,11,150.5·sin40x,i=4,8,12,16

A Local α-fractal function corresponding to a discontinuous function is given in the following example.

Example 4

Let the data set be (i16,10.5i16 sin6i16:i=0,1,,16. Let A=[0,1]. Let Ai=[0,i16] and λi=xi+i-116,i=1,2,,16. Fix g(x)=10.5xsin6x. Then by choosing b(x)=10·sin6x and the corresponding local α-fractal function is shown in figure 4a and 4b with respect to the following scale vectors

Fig. 4.

Fig. 4

The graph of 10.5xsin6x (black) and its corresponding local α-fractal function (orange)

  1. αi=0.2,i=odd-0.2,i=even,

  2. αi(x)=0.5·sin60x,i=1,5,9,13exp-2x-1·0.5·sin60x,i=2,6,10,140.5·cos30x,i=3,7,11,150.5·sin40x,i=4,8,12,16

Remark 2

As we can see in the above examples that the local α-fractal functions are discontinuous in both cases. This is not always the case though, for example, one simple way of getting a continuous local α-fractal function is by choosing K=1 in the corresponding construction (see Sect. 3).

Again from (28) we have

gα=g+αi·(giα-b)λi-1,onλi(Ai),fori=1,2,,KHencegα-g=αi·(giα-b)λi-1,onλi(Ai),fori=1,2,,K

which gives

gα-g,λi(Ai)=αi·(giα-b)λi-1,λi(Ai)αi·(giα-b),Ai=αi,Ai·(giα-b),Ai|α|·(gα-b),A

since this is true for all i{1,2,,K} we can deduce that,

gα-g,A|α|·(gα-b),A|α|gα-g,A+g-b,A

and hence

gα-g,A|α|1-|α|g-b,A 29

Let us define an operator Lα:HH by ggα, that is Lα associates the local α-fractal function gα with g. Also, it is clear that Lα=Lb,P,Fα depends on b and P, F.

Proposition 1

If b and P, F are fixed then for all g,fH

Lα(g)-Lα(f),A11-|α|g-f,A 30

that is Lα satisfies the Lipschitz condition on H.

Proof

By the definition of Lα and using (28), we have

Lα(g)=g+αi·(giα-b)λi-1onλi(Ai),fori=1,2,,KLα(f)=f+αi·(fiα-b)λi-1onλi(Ai),fori=1,2,,K

which gives

Lα(g)-Lα(f)=(g-f)+αi·giα-fiαλi-1onλi(Ai),fori=1,2,,K

Hence

Lα(g)-Lα(f),λi(Ai)g-f,A+|α|·gα-fα,Afori=1,2,,K

which in turn implies that

Lα(g)-Lα(f),Ag-f,A+|α|·gα-fα,A

Hence

Lα(g)-Lα(f),A11-|α|g-f,A

Theorem 3

The operator Lα:HH is continuous on H.

Proof

By proposition 1, we see that Lα satisfies the Lipschitz condition on H and hence Lα is continuous on H.

Now, let us choose b=gu where uB(A,A) and u(x0)=x0, u(xK)=xK, then the operator Lα=Lu,P,Fα, which assigns the local α-fractal function gα to g is linear, as g,hH implies

gα=g+αi·(giα-gu)λi-1,onλi(Ai),fori=1,2,,Khα=h+αi·(hiα-hu)λi-1,onλi(Ai),fori=1,2,,K

and for λ1,λ2R, we have

(λ1gα+λ2hα)=(λ1g+λ2h)+αi·λ1gα+λ2hαi-(λ1gα+λ2hα)uλi-1,

fori=1,2,,K.

Since the solution of the Eq. (28) is unique, for all λ1,λ2R, we have

(λ1g+λ2h)α=(λ1gα+λ2hα). 31

Again using b=gu in Eq. (29), we have

Lα(g)-g,A|α|1-|α|g-gu,A|α|1-|α|g,A+gu,A2|α|1-|α|g,A

and consequently, we can derive the following

Lα(g),A2|α|1-|α|g,A+g,A1+|α|1-|α|g,A

which in turn implies

Lα,A1+|α|1-|α|. 32

It follows that the operator Lα is a linear and bounded operator.

Theorem 4

Fixing the base function b=gu, for uB(A,A) and u(x0)=x0, u(xK)=xK, the operator Lα:HH becomes linear and bounded.

Proof

This statement follows from the above considerations.

Conclusion and future directions

In this paper, we constructed the local α-fractal function on a closed interval [ab]. We provided a couple of examples of the local α-fractal functions corresponding to a continuous function as well as a discontinuous function. Then we studied some properties of the fractal operator which assigns a function with its corresponding local α-fractal function. By modifying the underlying conditions suitably one can define local α-fractal functions in Lebesgue spaces, Sobolev spaces and other standard function spaces. One also expects to define local α-fractal functions for functions defined on non-compact unbounded domains of R. One might also generalise this paper by considering the scale-free fractal interpolation (see [5]). As mentioned in the introduction, Fractal interpolation functions are used in data analysis to interpolate real-world data sets that can not be interpolated by traditional polynomial interpolants. As the data sets involved are often discontinuous, so the local α-fractal functions might be more suitable to study this kind of data as compared to classical fractal interpolation functions.

Author contribution statement

All the authors contributed equally to this work.

Funding

AB acknowledges the Council of Scientific & Industrial Research (CSIR), India, for the financial support under the scheme “JRF” (FileNo. 08/0155(12963)/2022-EMR-I). Md.NA acknowledges the Department of Science and Technology (DST), Govt. of India, for the financial support under the scheme “Fund for Improvement of S &T Infrastructure (FIST)” (File No. SR/FST/MS-I/2019/41).

Data Availability Statement

No data associated in the manuscript.

Declarations

Conflict of interest

All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.

Ethics approval

This work did not contain any studies involving animal or human participants, nor did it take place on any private or protected areas. No specific permissions were required for corresponding locations.

Consent to participate

Not applicable.

Consent for publication

All authors have given consent to publish this work.

Code availability

Not applicable.

Footnotes

Framework of Fractals in Data Analysis: Theory and Interpretation. Guest editors: Santo Banerjee, A. Gowrisankar.

Md. Nasim Akhtar, and M. A. Navascués have contributed equally to this work.

Contributor Information

Akash Banerjee, Email: akash.rs@presiuniv.ac.in.

Md. Nasim Akhtar, Email: nasim.maths@presiuniv.ac.in.

M. A. Navascués, Email: manavas@unizar.es

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