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A family of singular functions and its relation to harmonic fractal analysis and fuzzy logic

  • Enrique de Amo EMAIL logo , Manuel Díaz Carrillo and Juan Fernández-Sánchez
Published/Copyright: December 17, 2016

Abstract

We study a parameterized family of singular functions which appears in a paper by H. Okamoto and M. Wunsch (2007). Various properties are revisited from the viewpoint of fractal geometry and probabilistic techniques. Hausdorff dimensions are calculated for several sets related to these functions, and new properties close to fractal analysis and strong negations are explored.

MSC 2010: 26A30; 26A24; 26A48; 11A67

1 Introduction and preliminaries

Examples of singular functions, that is, monotone increasing continuous functions whose derivatives vanish almost everywhere, have been known since the end of the 19th century (see [1]). Since then, these functions have been studied from a wide variety of fields very distant from one another. Some classes of these functions have been considered in Probability Theory (see [2-4]) as well as in Number Theory, where what is known as Minkowski’s question mark function is specially relevant (see [5-8]). It relates to the alternate dyadic and continuous fraction systems of representation. Another example of singular function that relates to representation number systems can be found in [9]. Possibly the best known and most widely studied singular function is Cantor’s (see [10] and the references therein) which can be studied with the aid of the 2- or 3-base representation systems, although it is often geometrically built as the limit of a sequence of functions with polygonal graphs. This is also the case of the functions firstly studied by Cahen [11], which Salem [7] introduced using geometric ideas similar to those of Cantor. Other references related to these functions can be found in [7, 12-16].

In recent times, a parameterized family of continuous functions has been considered by Okamoto in [17], and revisited in [18] to see if they are also singular. They contain Bourbaki and Perkins’ nowhere differentiable functions as well as Cantor’s singular function. In this paper, we study a wide family of two-parametric singular functions fa,b and explore new properties, several of them closely related to fractal analysis and strong negations. We borrow a few ideas from [18, Sec.4], starting with an exact definition of what we mean by fa,b.

Definition 1.1

Let a,b ∈ ]0, 1[ and fa,b be defined on the unit interval [0, 1] by iterations of piecewise affine functionsfnn=0, as follows:

Let f0(x) = x, and suppose that fn has been properly defined on the whole unit interval. Then, for fn+1we define

fn+1k3n:=fnk3n,k=0,...,3n,fn+13k+13n+1:=1afnk3n+afnk+13n,k=0,...,3n1,fn+13k+23n+1:=1bfnk3n+bfnk+13n,k=0,...,3n1,
and complete its definition for eachxk3n,k+13n as the segment that joints the pointsk3n,fk3n and

k+13n,fk+13nin its graph.

Now, let fa,b(x) = limn→∞fn(x) for all x ∈ [0,1].

Let us mention that f12,12 is the Cantor function and f23,13 is the function defined by Bourbaki (see [17, 19]). We will

consider 0 < a < b < 1 such that (a,b)13,23.

Theorem 1.2

([18, Th.5]). fa,b is a continuous, strictly monotone, and singular function.

This paper is structured in the following way: In Section 2 we show new properties of fa,b, from the viewpoint of fractal geometry theory. We prove that the graph of fa,b is a compact set (an attractor) that appears as the fixed point of a suitable contraction mapping, which directly implies its monotony and continuity. Moreover, we characterize fa,b as the unique bounded function satisfying a given system of functional equations. We will provide further proof of the singularity of fa,b with the sole aid of probabilistic techniques, using the result that the sequence of Fourier coefficients of its associated measure d fa,b does not converge to zero (for a given monotone function S, dS denotes its Stieltjes measure). In the same section, we also establish the Hausdorff dimension of sets related to fa,b, one of them is a measure zero set whose image by fa,b has measure one, and its dimension is obtained as an application of the Besicovitch-Eggleston theorem. To this end, we previously introduced a representation system called a, b-system. In Section 3 we generalize all the results to a 4-parametric family of functions. Once more, we calculate Hausdorff dimensions for the sets associated with these functions again. The last section is devoted to applications of the family of singular functions studied. With these and the representation system referred to above, we find a bi-parametric family of Katok foliations. In addition, we establish its relation to harmonic analysis on fractals and to strong negations in fuzzy logic.

2 Properties of fa,b

2.1 Analytic properties

First, as we pointed out above, we examine new properties of fa,b from a geometric point of view. But the tool we shall use is the Hausdorff-Pompeiu metric (see [20, 21]). A straightforward way to introduce this metric is as follows:

Let 𝒦([0,1]2) denote the space of compact subsets in [0,1]2. For each A and B in 𝒦 ( [0,1]2) we put

ρ (A, B) := sup {dist (b, A) : bB},

and then 𝒦 ([0,1]2) is complete metric space endowed with the metric

D (A, B) := max {ρ (A, B), ρ(B, A)}.

Thus, the graph of fa,b is a self-affine subset of the unit square [0,1]2, obtained as the fixed point of a suitable contraction C in the space 𝒦 ([0, l]2), via the Contaction Mapping Theorem.

The underlying idea is graphically expressed in Fig. 1.

Fig. 1 The transform of the unit square by C
Fig. 1

The transform of the unit square by C

The graph of the polygonal fn is defined by iteration as the image, by a contraction C that is defined below, of the graph of fn-1 with the start f0 = identity.

For convenience, let us put a1= a; a2 = b – a; a3 = 1 – b.

Proposition 2.1

The mapping

C:K[0,1]2K[0,1]2C(T):=C1t(T)C2(T)C3(T),
where C1, C2 and C3 are contractions given by
C1:[0,1]2[0,1],2C1(x,y)=x3,ayC2:[0,1]2[0,1],2C2(x,y)=1+x3,a+a2yC3:[0,1]2[0,1],2C3(x,y)=2+x3,b+a3y,(1)

(a, b, a2, a3 ∈ ]0,1 [) is a contraction for the Hausdorff metric in 𝒦 ([0, 1]2).

The graph of fa,b, is the unique invariant set for the iterated function system defined by (1), that is the fixed point of C. The next result follows as a consequence of the definition of fa,b, and its graph is a compact set.

Corollary 2.2

The function fa,b is monotonic and continuous.

Now, since each affine contraction represents a functional equation, according to the Banach fixed point theorem, we have fa ,b determined by the following functional equations.

Theorem 2.3

The function fa,b is the unique bounded solution of the system of functional equations

hx3=ah(x)h1+x3=a+a2h(x)h2+x3=b+a3h(x)(2)
Corollary 2.4

The area under the graph of fa,b, is01fa,b(x)dx=2a1+a22.

In [22], for Okamoto’s one-parameterized function it is proved that fa = fa, 1-a is non-differentiable almost everywhere at the critical parameter value. In [19], the performance of fa is explored almost everywhere for different values of a. For fa,b we have the following general result.

Theorem 2.5

The derivativefa,b(x)when it exists, can only vanish.

Proof

If fa,b(0+) exists, then it must vanish. To prove it, we take into account that fa,b13n=an and fa,b23n=ban1. This implies that the slope of the segments joining the point (0, 0) with (13n,an),(23n,ban1) and 13n1,an1 are, repectively, (3a)n,3b(3a)n12and(3a)n1.Iffa,b(0+) exists and does not vanish, then the

limits of the quotients (3a)n(3a)n1=3aand3b(3a)n12(3a)n1=3b2 exist and are equal to 1. That is, (a,b)=13,23 which is a contradiction.

A similar argument allows us to obtain fa,b(1)=0, if it exists.

By repeting this reasoning or using the system of functional equations (2), it follows that if exist, the numbers fa,bm3kandfa,bm3k+ are zero.

Let us suppose that x cannot be expanded in the form m3k. If fa,b(x) exists and does not vanish,

limkfa,b(yk+1)fa,b(xk+1)yk+1xk+1:fa,b(yk)fa,b(xk)ykxk=1

for sequences (xk) and (yk) that converge to x such that xkx < yk.

Let us take

xk:=maxj3k:j=0,...,3kandj3kx,

and

yk:=minj3k:j=0,...,3kandx<j3k,

then we have

fa,b(yk+1)fa,b(xk+1)yk+1xk+1:fa,b(yk)fa,b(xk)ykxk{3ai:i=1,2,3}.

Thus, if 3ai 1 for the three values, this is a contradiction. If some of them equal 1, then the other two differ from 1, because we have avoided the case a = 1/3 and b = 2/3. Therefore, if we obtain 3ai = 1, we shall change that quotient by

fa,byk+13k+1fa,bxk+1yk+13k+1xk+1:fa,b(yk)fa,b(xk)ykxk,

or by

fa,b(yk)fa,b(xk13k+1)ykxk13k+1:fa,b(yk+1)fa,b(xk)yk+1xk.

This quotient is 3(ai+aj)2, with i ≠ j, and differs from 1.

For each k we have described the possibility of taking the quotient on a finite set (where 1 is not included). Consequently, the limit fa,b(x) must be zero.

Note that the theorem above provides a new proof for the singularity of fa,b.

2.2 Singular functions as the convolution of distribution functions

We shall prove that fa,b can be obtained as an infinite convolution S of atomic probabilities, and that the sequence of Fourier coefficients of dS does not converge to zero. A number of definitions and results to be used later are recorded bellow.

If F1 and F2 are distribution functions, then the function F(x)=RF1(yx)dF2(y) is called the convolution of the distribution functions F1 and F2. This is a new distribution function denoted as F = F1* F2. The convolution F1 * F2 provides the distribution function of the sum of two independent random variables with distribution functions F1 and F2.

Let F be a distribution function, then its characteristic function F~ is the expected value of eixt, that is,

F~t=Eeixt=+eixtdF(x),

the nth moment Mn of F is defined as +xndFxyσ2=M2M12.

By imposing conditions on the distribution functions, Jessen and Wintner in their paper [3], obtain convergence criteria for the convolution of distribution functions. To be more specific, in [3] they obtain the following results.

Lemma 2.6

([3, Th. 4]). If F2(Fn) is finite for every n, then the convergence of two seriesn=1E(Fn) andn=1σ2(Fn) implies the weak convergence of Hn(x) = F1 * F2 * ...* Fn(x) (i.e. Hn(x) → H(x) for each x at which H is continuous).

Theorem 2.7

([3, Th. 35]). If F = F1 * F2 * · · · is a convergent infinite convolution of distribution functions Fn each of which is purely discontinuous, then F is either purely discontinuous, or singular, or absolutely continuous.

The next result can be found in [23, pg. 46].

Theorem 2.8

Let γn = maxz{Fn(z+) – Fn(z–)}, then the infinite convolution F(x) = (F1 * F2 * ...) (x) iscontinuous if and only if the series n1(1γn) diverges.

Finally, in [26] the following useful result is proven.

Lemma 2.9

If Fn and F have characteristic functions F~n and F~,, respectively, and (Fn) is weakly convergent to F, then F~nxF~x for each x.

Definition 2.10

Let be the infinite convolution function S := F1 *F2*F3*..., where F1, F2, F3,... are distribution functions given, for each positive integeer n, by

Fn(x)=0,x<0a,0x<13nb,13nx<23n1,x23n

This function S is well defined. In fact, let us note that, for every n:

E(Fn)=a2+2a33n,M2(Fn)=a2+4a332n,σ2(Fn)=a2+4a332n(a2+2a3)232n.

The convergence of the corresponding series ensures, by Lemma 2.6, the weak convergence of the convolution, that is, S(x) exists for every x.

Theorem 2.11

With the notation as in the above definition, we have:

  1. The characteristic function of S isS~(t)=n=1Q(a1+a2eit3n+a3ei2t3n).

  2. The sequence of Fourier coefficients of S~,, i.e. Sp=01e2πpixdS(x),, does not converge to zero.

  3. S is a singular function.

Proof

  1. The characteristic function of Fn is a1+a2eit3n+a3ei2t3n. If H = F * G, then their respective characteristic functions satisfy the relation H~=F~G~, and as a consequence, by Lemma 2.6, we obtain that the characteristic of S is S~(t)=n=1(a1+a2eit3n+a3ei2t3n).

  2. Let us denote by Sp:=S~(2πp) the Fourier coefficients of dS. The expression of S~ allows us to obtain that S3q p= Sp for all q ≥ 0. Since the measure is not equal to the Lebesgue measure, then there exists n > 0 such that Sp ≠ 0, and, as a consequence, the Fourier coefficients do not converge to zero.

  3. The functions in the convolution are purely discontinuous, thus S is also pure. But it is neither discontinuous, by Theorem 2.8, nor absolutely continuous, because by b) it does not satisfy the Riemann-Lebesgue theorem. Therefore, it must be singular.

For a nonnegative integer m < 3n, let us consider its expansion in the base 3 m = r030 + r13l + r232 + ... + rn-13n-1, with ri ∈ {0, 1, 2}. Set c(m) (resp., u(m) and d(m)) the number of times that the digit 0 appears (resp., 1s and 2s) in the above expansion of m.

Lemma 2.12

The distribution function F1 * F2 * · · · * Fn has the following associated probability

Pnm3n=a1c(m)a2u(m)a3d(m).
Proof

The proof is reached by induction. The statement is true for the first values. Let us suppose that it is true for n — 1, and we will prove it for n. (Let us denote by Pn¯ the associated probability with Fn.)

If m is congruent with zero module 3, i.e. m = 3k, then

k=r130+r231+r332++rn13n2,m=0+r131+r232+r333++rn13n1,

and

Pnm3n=Pn3k3n=Pn1k3n1Pn¯(0)=a1Pn1k3n1.

Taking into account that the expansion of m has one less 0 than the expansion of k, and the same number of 1s and 2s, by applying the induction hypothesis we obtain the desired result.

For the cases m = 1 (mod 3) and m = 2 (mod 3) we proceed in a similar way.

Applying the above lemma and making an inductive hypothesis we obtain the following result.

Lemma 2.13

a) F1F2Fn3n113n=a.

b) F1F2Fn23n113n=b.

Now, we show the relationship between fa,b and S.

Theorem 2.14

fa,b is the infinite convolution function S.

Proof

We have to prove that the graph of Gn = F1 * F2 *...* Fn and Cn(d) are the same set, where d denotes the segment (0,1)(1,1)¯ and C is given by (2.1), but for a finite set of points. Namely, the intersection of Cn(d) and the line x=k3nfor1k3n1 has two points: k3n,Gnk3nandk3n,Gnk3n where the minus sign means left-side limit. For the other values of x, the graph of Gn and the set Cn(d) coincide.

Set Cn(x) := max{y : (x, y) ∈ Cn(d)}. It is immediate that G113=C113,G123=C123. Thus we will show that for n, it follows that Cnk3n=Gnk3nfor0k<3n. Let us suppose that it is also true for n – 1.

For 0 ≤ m < 3n-1, we consider these possibilities:

a) Gnm3n=k=0mPnk3n=k=0ma1Pn1k3n1=a1Gn1m3n=a1Cn1m3n=Cnm3n, where the second equality is true because when we write k with one more digit, this must be zero.

b)If Gnm+3n13n=a1+a2Gn1m3n1=a1+a2Cn1m3n1=Cnm3n1, the proof is similar to the above.

c)If Gnm+2.3n13n=a1+a2+a3Gn1m3n1=a1+a2+a3Cn1m3n1=Cnm3n1, the proof also follows similarly.

This ensures that the statement is also true for n.

If Gn are step functions that coincide with fa,b at points in the form m3n with 0 ≤ m < 3n, then limnGn(x)=fa,b(x)for allx ∈[0,1].

Remark 2.15

Theorems 2.11and 2.14 give further proof of Okamoto and Wunsch’s result [18, Th. 5] using exclusively probability theory methods. In fact, fa,b is a singular function and additionally we know its characteristic function, as well as the fact that the sequence of its Fourier coefficients does not converge to zero.

3 Fractal sets associated with fa,b

This section is devoted to describing several sets related to the function fa,b and to computing their Hausdorff dimensions. We need some additional results.

We are going to introduce a representation system of real numbers in [0,1] .The method employed is based on the imitation of the action of fa,b on the Y axis. With notations already used above, let us divide the unit interval into subintervals [0, a], [a, b] and [b, 1]. Thus, if y ∈ [0,1], then y can be written as one of the following expressions:

y=b1+a1Zb2+a2Z,b3+a3Z

with b1 = 0, b2 = a, b3, = b, and z ∈ [0,1 ]. We can now apply the above algorithm to z ∈ [0,1], and by iteration we have the formal relation

y=d1+s1d2+s1s2d3+s1s2s3d4+

with di = bj , j = 1,2,3, and si = ak for a suitable j and k, such that if di = bj, then si = aj.

Observe that if y := b2 + a2 z, with z ∈ {0,1}, then y has two formal equalities. But this fact is of no relevance to our task because it is true on a denumerable set, hence on a set of measure zero. The nature of the construction also ensures that for different points their corresponding formal equalities are different, as well.

Proposition 3.1

The series d1+ s1 d2+s1s2d3 +s1s2 s3d4converges to y, that is, the formal equality above is in fact an equality.

Proof

Note that s1 ... sndn+1 ≤ max {a1,a2,a3,b}n+1. Thus, by construction

0y(d1+s1d2+s1s2d3+s1s2s3d4++s1s2sndn+1)=O(max{a1,a2,a3,b}n),

which implies that the series converges to y.

Next, the family of parameterized singular functions is described with the help of the a,b-representation system.

Definition 3.2

The series in the proposition above is named as the a, b-representation of y ∈ [0, 1].

Theorem 3.3

The random variables dn(x) are independent and equally distributed with probability function

P(dn=0)=a1,P(dn=a)=a2,P(dn=b)=a3.

Applying the Law of Large Numbers we obtain the following result.

Proposition 3.4

With the above notation the set of points whose proportion of times that dn = 0 is a1, for dn = a is a2 times or dn = b is a3, has measure 1.

We are now going to exhibit a set of measure zero whose image under fa,b is of measure one and vice versa.

Theorem 3.5

There exists a set of measure zero and Hausdorff dimension

a1lna1+a2lna2+a3lna3ln3
that is mapped on a set of measure one by fa,b.
Proof

The nature of the construction of the representation for a point x=n=1cn3n in [0, 1] and its image fa,b (x) entails that if cn = 0,1,2, then dn = 0, a, b, respectively. Therefore, the set of points whose proportions of 0s, Is and 2s are a1, a2 and a3, respectively, has measure zero and is mapped on a set of measure 1.

The Hausdorff dimension is calculated in [20, Chp. 10].

In addition, we shall give another analogue property using the measure of the normal numbers in [0,1].

We recall that a number is normal in the 3-base if the proportions of 0s, 1s and 2s in this base is 1/3 for each case, and that the set of normal numbers in the 3-base is of measure 1 (see, for instance, [24] or [25]).

Theorem 3.6

There exists a set of measure one that is mapped by fa,b on a set of measure zero and Hausdorff dimension

ln27ln(a1a2a3).
Proof

A normal number in the base 3 has the same proportion for each of the three digits in its expansion. Their images will have the same proportion in the random variables dn. Corollary 3.4 shows that the proportions must be a1, a2 and a3, on a set of measure 1. Thus, the image of normal numbers is a measure zero set.

To calculate the Hausdorff dimension for this zero-measure set, we use that the measure d fa,b concentrates its mass on it. Thus, applying [20, Lemma 4.9], by substitution of balls by neigbourhoods in the following way: If

x=d1+s1d2+s1s2d3+s1s2s3d4+,

then we use the representation method and, in the n-th iteration, we do z = 0 and z = 1, obtaining the extremes of an interval containing x, namely:

[d1++s1s2sn1dn,d1++s1s2sn1dn+s1s2sn].

Clearly, its Lebesgue measure is s1s2 ... sn, and, by construction, its dfba1 -measure is 13n.

Therefore, the Hausdorff dimension is given by the number

supβ>0:limn1/3n(s1s2sn)β<+.

Taking logs, because it must be finite,

limn+nln(3(a1a2a3)β3+o(1))<+,

and the supremum β of these values is ln27ln(a1a2a3).

4 Generalization

Although their description is complex, a geometric generalization of the preceding functions can be easily carried out. We directly proceed in the following way, avoiding proofs in the results that follow. They can be derived from the techniques and ideas already used in the proofs of the preceding results.

Definition 4.1

Let a, b, a’, b’ ∈ ]0, 1[ such that a < b and a’ < b’. We set the functionfabab=fa,bfa,b1.

Theorem 4.2

(Functional Equations), faba’b’ is the only bounded function defined in [0, 1] satisfying

h(ax)=ah(x),h(a+a2x)=a+a2h(x),h(b+a3x)=b+a3h(x).(3)
Theorem 4.3

The function faba’b’ is continuous.

Corollary 4.4
01fabab(x)dx=a1a1+a2a2+a2a11(a1a1+a2a2+a3a3).
Theorem 4.5

faba’b’ is an increasing and singular function whose derivative fabab(x),when it exists, can only vanish.

Theorem 4.6

i) There exists a set of measure zero and Hausdorff dimension a1lna1+a2lna2+a3lna3a1lna1+a2lna2+a3lna3that is mapped on a set ofmeasure one by faba’b’.

ii) A set of measure one exists that is mapped by faba’b’ on a set of measure zero and Hausdorff dimensiona1lna1+a2lna2+a3lna3a1lna1+a2lna2+a3lna3.

5 Applications

In this section we apply the main results obtained in this paper to provide nontrivial examples in Measure Theory and Fractal Analysis. On the one hand, we will construct an example of Katok foliation, and on the other hand, we study singular functions and their interaction with harmonic functions defined on a self-similar set.

5.1 Katok Foliation

The first example of a pathological foliation was constructed by Katok. A different version of this construction on the square appeared in Milnor’s work [27], which showed examples of foliations of the unit square such that a full measure set intersects each leaf of the foliation at exactly one point.

Here we introduce all the necessary notions required for the precise formulation of our results.

Definition 5.1

A pair (E, fα) is a Katok foliation if:

  1. E ⊂ [0, l]2is a set of measure 1;

  2. fα is a family of analytic functions from ]0,1[ to [0, 1];

  3. the graphs of the functions fα fill the interior of [0, 1]2;

  4. the graphs of the functions fα are pairwise disjoint;

  5. the graph of each function fα intersects with E at one point at most.

Lemma 5.2

For each x ∈ ]0, 1 [, the function gx(t):=ft2,t(x)is analytic at t ∈ ]0,1 [ and gx(0) = 0, gx (1) = 1.

Proof

If x = d1 + s1d2 + s1s2d3 + s1s2s3d4 +.... then gx(t) is obtained by the substitution of di,si with one of the values 0, t, t2, 1 — t, f (1 — f), depending on . For each substitution, we obtain an expansion series in powers of t. It is clear that gx(0) = 0 and gx(1) = 1 : the series expansion begins with a term in the tn power, thus gx (0) = 0. For the latter, we can write in the form tn + a series of positive terms, with 0 ≤ gx (t) ≤ 1. Hence, by continuity, the equality follows.

Lemma 5.3

For x, x’ ∈ ]0, 1[, x≠ x’, the graphs of g x and gx’ in ]0, l[ are disjoint.

Proof

If (t, gx(t)) and (t, gx’(t)) are equal, the series expansion in the t2, t -representation system of x and x’ is the same. But this would imply x = x’, a contradiction.

Proposition 5.4

The functions ft2,t are singular, and their graphs fill the interior of the unit square [0,1].

Proof

Singularity follows from the above results. Let x ∈ ]0,1[. The function gx is continuous with gx(0) = 0 and gx(1) = 1, and as a consequence, it takes all the values 0 < y < 1.

Theorem 5.5

The pair (E,gx), where

E:=t,y:theproportionofviriablesdiinthet2,trepresentationofyist2,t1t,1t
and gx defined as above, is a Katok foliation.
Proof

E is a set of measure 1 by Fubini’s theorem. The analyticity was already obtained above. To deduce that the graph of each function in the foliation intersects at most at one point is a consequence of the fact that the variables (that only depend on x) appear in the same proportion in the image of gx. Because this proportion is a limit, it is possible that it does not exist. If it exists, then we find a value t with the desired proportions.

Definition 5.6

In exchange of t2,t for tu ,tv with u > v, one can obtain a bi-parametric family of foliations.

5.2 Fractal Analysis

Applications of fractal sets in physics phenomena have brought about an important development of fractal techniques in the last twenty years, specifically in harmonic functions in fractals. A good introduction to this topic can be found in [28]. A study of the harmonic functions on the Sierpinski triangle can be found in [29]. In this subsection we study the harmonic functions on these sets and their relationship with singular functions which are the object of our research in this paper.

We focus our study on a self-similar subset in the unit square [0, 1]2, which is determined as the fixed point of a suitable contraction in the metric space 𝒦([0, l]2), endowed with the Hausdorff metric.

Definition 5.7

For r such that 0 < r < 1/2, let us set functions:

G1:[0,1]2[0,1]2,G1(x,y)=(rx,ry),G2:[0,1]2[0,1]2,G2(x,y)=(1r+rx,ry),G3:[0,1]2[0,1]2,G3(x,y)=(r+(12r)x,r+(12r)y),G4:[0,1]2[0,1]2,G4(x,y)=(rx,1r+ry),G5:[0,1]2[0,1]2,G5(x,y)=(1r+rx,1r+ry),
and let
G:K([0,1]2)K([0,1]2),G(T)=i=15Gi(T).

The only fixed point of G will be denoted by Nr.

Nr is a fractal set, and we will study harmonic functions on it. This type of sets has already been used to show the first example of copulas with fractal support (see for instance [30] or [31]). Let us recall that the fixed point Nr in the Banach contraction mapping is obtained as the limit by iterations of G starting at any choosen point. Taking as the starting point the compact unit square, for r = 1/3, the first two are as Figure 2 shows.

Fig. 2 The two first iterations of the unit square in the case r = 1/3
Fig. 2

The two first iterations of the unit square in the case r = 1/3

We name the vertices of [0,1]2 : p1 = (0, 1), p2 = (1, 1), p3 = (0,0) and p4, = (1,0), and for the vertices in the first iteration:

q1=(r,1)q2=(1r,1)q3=(0,1r)q4=(r,1r)q5=(1r,1r)q6=(1,1r)q7=(0,r)q8=(r,r)q9=(1r,r)q10=(1,r)q11=(r,0)q12=(1r,0)

(see Figure 3).

Fig. 3 Vertices considered in the unit square
Fig. 3

Vertices considered in the unit square

For the sake of our paper, we state that a function h defined in C is harmonic if

h(p1)=s1,h(p2)=s2,h(p3)=s3,h(p4)=s4

implies that

hq1=22s1+3s2+3s3+2s430,hq2=3s1+22s2+2s3+3s430,hq3=22s1+3s2+3s3+2s430,hq4=14s1+6s2+6s3+4s430,hq5=6s1+14s2+4s3+6s430,hq6=3s1+22s2+2s3+3s430,hq7=3s1+2s2+22s3+3s430,hq8=6s1+4s2+14s3+6s430,hq9=4s1+6s2+6s3+14s430,hq10=2s1+3s2+3s3+22s430,hq11=3s1+2s2+22s3+3s430,hq12=2s1+3s2+3s3+22s430.

And the same occurs on each of the squares that appear at each stage. G can be extended to C by continuity, because the set of vertices of the squares form a dense set. These functions will be denoted by hs1s2s3s4. These functions and the rest that follows in this section, depend on the parameter r, but we omit it for simplicity. We will study their performance on the diagonal of the set, and we will do it for the particular case of hα10α, which we denote by hα for short. Actually, the only condition we impose is that s1 = s4 = α, because it is necessary to take it into account:

hs1s2s3s4((x,y))=s3+(s2s3)h(s1s3s2s3)10(s4s3s2s3)((x,y)).

When we are restricted to the diagonal, it is necessary to study the subsets G1 ([0, 1]2), G3 ([0, 1]2) and G5([0, 1]2) : they are the new squares having a non-empty intersection with it. The self-similarity of the set and the way the function takes the values at the vertices of the new squares, allow us to write the following equations:

hα((rx,rx))=h2+6α304+12α3002+6α30((x,x)),hα((r+(12r)X,r+(12r)X))=h18α+63014+12α304+12α3018α+630((x,x)),hα((1r+rx,r+1r+rx))=h22+6α30114+12α3022+6α30((x,x)),

that can be rewritten as:

hα((rx,rx))=4+12α30h12((x,x)),hα((r+(12r)x,r+(12r)x))=4+12α30+13h6α+210((x,x)),hα((1r+rx,r+1r+rx))=4+12α30+1612α30h12((x,x)).
Definition 5.8

Set gα : [0,1] [0,1], gα(x) := hα ((x, x)) for all x ∈ [0,1]. The above equalities for these functions give:

gα(rx)=4+12α30g12(x),gα(r+(12r)x)=4+12α30+13g6α+210(x),gα(1r+rx)=14+12α30+1612α30g12(x),

and if α = 1/2, then they become the functional equations for g12:

g12(rx)=13g12(x),g12(r+(12r)x)=13+13g12(x),g12(1r+rx)=23+13g12(x).

Now attending to the functional equations of fr,1-r (with 0 < r < 1/2) we have the following result.

Proposition 5.9

fr,1r1andg12 coincide on the unit interval.

Corollary 5.10

gα is a singular function.

Proof. The equalities already established for the family of functions gα ensure the way to divide the unit interval [0,1] into subintervals where the corresponding function is the scale copy of g12. Thus, we complete the proof, because the inverse of a singular function is also singular.

Corollary 5.11

There exists a set of measure zero and Hausdorff dimensionln27lnr2(12r)that is mapped on a set of measure one by gα.

Corollary 5.12

There exists a set of measure one that is mapped on a set of measure zero by gα,r and Hausdorff dimension

2rlnr+(12r)ln(12r)ln3.
Remark 5.13

This study can be generalized to the set C’ determined as the fixed point of the mapping generated by the following functions:

G1:[0,1]2[0,1],2G1(x,y)=(rx,ry),G2:[0,1]2[0,1],2G2(x,y)=(r+(1r)x,ry),G3:[0,1]2[0,1],2G3(x,y)=(r+(rr)x,r+(rr)y),G4:[0,1]2[0,1],2G4(x,y)=(rx,r+(1r)y),G5:[0,1]2[0,1],2G5(x,y)=(r+(1r)x,r+(1r)y),
with 0 < r < r’ < 1.

The results are analogous, but the functions we now obtain are the inverses of fr, r’, and the fractal dimensions of the related fractal sets areln27lnrr(1rr)andrlnr+rlnr+(1rr)ln(1rr)ln3 respectively.

5.3 Strong Negations

In the framework of Fuzzy Logic, a strictly decreasing mapping n : [0,1] [0,1] is a strong negation if n2(x) : = n ∘ n(x) = x for all x in [0,1] (see [32]). Next, we are going to introduce a family of strong negations related to the functions we have studied.

Theorem 5.14

For 0 < a < b < 1, the function na,b : [0, 1] [0, 1] given by

na,b(x):=fab(1b)(1a)(1x)

for all x in [0, 1] is a strong negation.

Proof. Continuity and monotony are evident. Through functional equations (3), we deduce that na,b, is the only function defined in [0,1] that is bounded and satisfies the relations:

h((1b)x)=1a+ah(x)h(1b+(ba)x)=1b+(ba)h(x)h(1a+ax)=(1b)h(x).(4)

By the definition of na,b and properties of fab(1-b)(1-a):

na,b((1b)x)=fab(1b)(1a)(b+(1b)(1x))=1a+afab(1b)(1a)(1x)=1a+ana,b(x).

The others follow is an analogous way. Finally, its uniqueness follows from that of fab(1—b)(1—a) in (3) or from the fixed point Banach theorem.

To show that na,b2(x)=x it is sufficient to use equations (4). From them, we deduce that na,b2 satisfies the functional equations

h((1b)x)=(1b)h(x),h(1b+(ba)x)=1b+(ba)h(x),h(1a+ax)=1a+ah(x).(5)

However, the solution of this system is unique in the unit interval, and this is the identity function. Thus, na,b2 equals identity in [0, 1].

6 Conclusions

We have studied a wide family of two-parametric singular functions. To this end, we introduce a biparametric representation system that allows us to give an explicit expression of these functions and to calculate the Hausdorff dimension of several sets with distinguished properties for fa,b.

In addition, we have examined some applications of the study of these families of singular functions obtaining Katok foliations, results concerning its relations with fractal harmonic analysis and with strong negations.

For further investigations we are interested in the study of these functions in the context of homeomorphisms between the supports of copulas with fractal support [31], as they appear in the disintegration of the measure associated to some self-similar copulas, and in the study of functions generated as fa,b but with random a and b.

Acknowledgement

This work was supported by the Ministerio de Economía y Competitividad (Spain) under Research Project No. MTM2014-60594-P and partially supported by FEDER.

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Received: 2016-7-28
Accepted: 2016-11-8
Published Online: 2016-12-17
Published in Print: 2016-1-1

© 2016 de Amo et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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