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. 2019 May 15;21(5):496. doi: 10.3390/e21050496

A Deformed Exponential Statistical Manifold

Francisca Leidmar Josué Vieira 1,*, Luiza Helena Félix de Andrade 2, Rui Facundo Vigelis 3, Charles Casimiro Cavalcante 4
PMCID: PMC7514985  PMID: 33267210

Abstract

Consider μ a probability measure and Pμ the set of μ-equivalent strictly positive probability densities. To endow Pμ with a structure of a C-Banach manifold we use the φ-connection by an open arc, where φ is a deformed exponential function which assumes zero until a certain point and from then on is strictly increasing. This deformed exponential function has as particular cases the q-deformed exponential and κ-exponential functions. Moreover, we find the tangent space of Pμ at a point p, and as a consequence the tangent bundle of Pμ. We define a divergence using the q-exponential function and we prove that this divergence is related to the q-divergence already known from the literature. We also show that q-exponential and κ-exponential functions can be used to generalize of Rényi divergence.

Keywords: deformed exponential manifold, statistical manifold, φ-family, information geometry, exponential arcs

1. Introduction

Let Pμ be the set of μ-equivalent strictly positive probability densities, where μ is a given probability measure. In order to build a structure to Pμ, Amari considered the parametric case, where the construction depends on a parameter belonging to the Euclidean space [1,2]. The case of non-parametric statistical models was initially studied by Pistone and Sempi [3]. In this case, Pμ was equipped with a structure of a C-Banach manifold using the Orlicz space associated to an Orlicz function. In a later work [4], Pistone and Cena proved that the probability distribution z belongs to the maximal exponential model to the probability distribution p, if and only if, z is connected to p by an open exponential arc. Moreover, the new manifold structure obtained from the connection by an open exponential arc is equivalent to the one defined in [3,5]. Results involving conditions connecting two probability densities by an open exponential arc were recently studied in [6].

The deformed exponential function was first introduced by Naudts in [7] and studied in more details later in [8,9]. In [10], the authors propose a generalization for the exponential family Ep, based in the replacement of the exponential function exp by a deformed exponential function φ. It is then proposed a φ-family of probability distributions denoted by Fcφ, with p=φ(c). The described family was modeled on Musielak–Orlicz spaces and a Banach manifold structure to Pμ is obtained. As a consequence of such model, a more general form of the Kullback–Leibler divergence was obtained and called φ-divergence. Furthermore, the arcs for the deformed exponential function were investigated and it was provided the necessary and sufficient conditions to connect by a φ-arc any two probability distributions [11]. This result was generalized later by [12,13]. A generalization to exponential arcs was defined in [14] and it also proved that the probability distribution z belongs to the φ-family Fcφ if, and only if, z is connected to p by an open φ-arc.

An example of deformed exponential function is the q-exponential one that it was used by Loaiza and Quiceno [15] to define an atlas modeled on essentially bounded function spaces. The charts for the given atlas are defined in terms of connections by an one-dimensional q-exponential model and of the q-deformations of cumulant maps [4]. Moreover, using equivalence class it was constructed the tangent space and the tangent bundle.

In this paper we endow Pμ with a structure of a C-Banach manifold using a deformed exponential function. This deformed exponential function has zero value until a certain point and from then on has the behaviour similar to the “classical” exponential function, which is strictly increasing. Particular cases of that function are: q-deformed exponential and κ-exponential. In order to build this structure, as in [15], we divide Pμ into equivalence classes using the connection provided by generalized exponential arcs as defined in [14]. Also, we define a set Acφ, that is the connected component of Pμ and will be the generalized φ-family of probability distributions. Moreover, by means of the derivative of the transition map, we find the tangent space and, consequently, the tangent bundle. In addition, we define a divergence using the q-exponential function which is related with the q-divergence defined in [15]. Finally, we show that the κ-exponential and q-exponential functions can be used in the generalization of Rényi’s divergence.

The rest of the paper is organized as follows. In Section 2 we revisit some important results about the q-exponential statistical manifold and provide a brief introduction about Musielak–Orlicz spaces. In Section 3, we have our main results. We discuss generalized open exponential arcs and build generalized φ-families of probability distributions. Alterwards, in Section 4, we find the derivative of the transition map and, as a consequence, the tangent space and tangent bundle. Moreover, in Section 5 we define a divergence using the q-exponential function and we use those results to prove that the q-exponential and κ-exponential functions can be used to generalize Rényi’s divergence. Finally, in Section 6 our conclusions and future perspectives are stated.

2. Background and Preliminary Results

The deformed exponential function that we will use to equip Pμ with a structure of a C-Banach manifold has as a particular case the q-exponential function and the parametrization domain is obtained from a Musielak–Orlicz space. For this reason, the purpose of this section is to make a brief presentation of the results involving the q-exponential manifold and the Musielak–Orlicz spaces.

2.1. A q-Exponential Statistical Banach Manifold

In the same way as in [15], we consider (T,Σ,μ) a probability space and q(0,1). The q-deformed exponential function is given by [16]

eqx=(1+(1q)x)1/(1q),where11qx. (1)

Definition 1.

We say that p,zPμ are connected by an one-dimensional q-exponential model if there exists rPμ, uL(r.μ), a real function of a real variable ψ and δ>0, such that for all t(δ,δ) the function f defined by

f(t)=eqtuqψ(t)r, (2)

satisfies that there are t0,t1(δ,δ), with f(t0)=p, f(t1)=z and tuqψ(t):=tuψ(t)tu+(1q)ψ(t), for ψ(t)(q1)1.

Consider the following partition of Pμ into equivalence classes: p,zPμ are related (pqz) if and only if there exists an one-dimensional q-exponential model connecting p and z, according to Equation (2). As a consequence, the measures p.μ and z.μ are equivalent and the essentially bounded function spaces L(p.μ) and L(z.μ) are equal.

We need to define a family of q-deformations of the moment-generating functional denoted by Mpq, it means,

Mpq:DMpq[0,],
Mpq(u)=Teq(u)dμ,

where

DMpq=uL(p.μ);11q<u,Teq(u)dμ<.

Also, we define a family of cumulant generating functional

Kpq:Bp,(0,1)[0,]

where

Kpq(u)=lnq[Mpq].

Notice that Bp,(0,1)DMpq, where Bp,(0,1) is the open unit ball in L(p.μ). Some properties of the functional Kpq are described in the theorem below.

Theorem 1

([15], Theorem 9). The cumulant generating function Kpq satisfies:

  • (1)

    The function z=equqKpq(u)p is a probability density on Pμ, since uBp,(0,1);

  • (2)
    Kpq is infinitely Fréchet differentiable and its n-th derivative evaluated at the directions (v1,,vn)Bp,(0,1)××Bp,(0,1), is of the form
    DnKpq(u).(v1vn)=[Mpq(u)]1qQn(q)T(v1vn)dμ;
  • (3)

    The functional Kpq is analytic in Bp,(0,1).

The function Kpq is used to define the q-exponential models

eq,p:VpPμ,

where

eq,p(u)=eq(uqKpq(u))p. (3)

Moreover, the set

Bp=uL(p.μ);Tupdμ=0 (4)

is a Banach space and

Vp={uBp;||u||p,<1} (5)

is the open unit ball of Bp. Since ||u||p,<1, we obtain 11q<u. Therefore 11q<uKpq(u)1+(1q)Kpq(u)=uqKpq(u) and consequently eq,p(u)=eq(uqKpq(u))p is well defined.

The inverse of eq,p is given by [15]

eq,p1(z)=lnqzpTlnqzppdμ1+(1q)Tlnqzppdμ.

The transition map eq,p21eq,p1:eq,p11(Up1Up2)eq,p21(Up1Up2), where Up is the range of eq,p, is expressed as [15]

eq,p21(eq,p1(u))=u+[1+(1q)u]lnqp1p2Tu+[1+(1q)u]lnqp1p2p2dμ1+(1q)Tu+[1+(1q)u]lnqp1p2p2dμ,

where p1,p2Pμ with Up1Up2 and ueq,p11(Up1Up2).

The map eq,p is injective and the set eq,p1(Up1Up2) is open in the Bp1-topology, where p1,p2Pμ. Hence, the transition map eq,p21eq,p1 is a topological homeomorphism and consequently the collection of pairs Up,eq,p1pPμ is a C-atlas modeled on Bp. Then, Pμ is a C-Banach manifold, since eq,p is a parametrization.

There exists a relation between the constructed manifold and the Tsallis relative entropy. In fact, let us consider, for t0 and 0<q<1, the following function

f(t)=tlnq1t,

where lnq(x)=x1q11q,ifx>0. Given p and z in Pμ, the Tsallis divergence, also called q-divergence of z with relation to p, is expressed by

I(q)(z||p)=Tpfzpdμ. (6)

Proposition 1

([15], Proposition 16). Taking p, z in Pμ, we obtain

  • (1)

    I(q)(z||p)0, with equality iff p=z.

  • (2)

    I(q)(z||p)T(zp)fzpdμ.

2.2. Musielak–Orlicz Spaces and φ-Families of Probability Distributions

Consider (T,Σ,μ) a σ-finite, non-atomic measure space. Let Pμ={pL0;p>0andTpdμ=1}, where L0 is the linear space of all real-valued, measurable functions on T, with equality μ-a.e. tT. The map Φ:T×[0,)[0,] is a Musielak–Orlicz function if, for μ-a.e. (almost everywhere) tT, the following conditions hold [17]:

  • (1)

    Φ(t,·) is convex and lower semi-continuous;

  • (2)

    Φ(t,0)=limu0Φ(t,u)=0 and Φ(t,)=;

  • (3)

    Φ(·,u) is measurable for each u0.

Since the items (1) and (2) occur, it follows that Φ(t,.) is not equal to 0 or in the interval (0,).

Consider the functional IΦ(u)=TΦ(t,|u(t)|)dμ, for any uL0. The Musielak–Orlicz space, Musielak–Orlicz class, Morse–Transue space associated the a Musielak–Orlicz function Φ are defined, respectively, by

LΦ={uL0;IΦ(λu)<foreachλ(ε,ε),thereexistsε>0},
L˜Φ={uL0;IΦ(u)<}

and

EΦ={uL0;IΦ(λu)<forallλ>0}.

Consider the Luxemburg norm

uΦ=infλ>0;IΦuλ1,

and the Orlicz norm

uΦ,0=supTuvdμ;vL˜ΦandIΦ(v)1,

where Φ(t,v)=supu0(uvΦ(t,u)) is the Fenchel conjugate of Φ(t,·). The Musielak–Orlicz space LΦ equipped with one of these two norms is a Banach space. The norms above are equivalent and the inequalities uΦuΦ,02uΦ hold for all uLΦ. For more details see [18,19].

Define the Musielak–Orlicz function as

Φc(t,u)=φ(t,c(t)+u)φ(t,c(t)), (7)

where c:TR is a measurable function such that φ(t,c(t)) is μ-integrable and we write Lcφ, L˜cφ and Ecφ, in the place of LΦc, L˜Φc and EΦc respectively. In [10] it was defined the parametrization

φc:BcφFcφ,

where

φc(u)=φ(c+uψ(u)u0), (8)

for each uBcφ=BcφKcφ, and

Bcφ=uLcφ;Tuφ+(c)dμ=0, (9)
Kcφ=uLcφ;Tφ(c+λu)<foreachλ(ε,1+ε),thereexistsε>0. (10)

The application ψ:Bcφ[0,) is called the normalizing function and it is defined in such a way that φc(u)=φ(c+uψ(u)u0) is in Pμ. We have that {Fcφ;φ(c)Pμ}=Pμ, φc11(Fc1φFc2φ) and φc21(Fc1φFc2φ) are open for any c1,c2:TR measurable such that φ(c1) and φ(c2) are in Pμ. The transition map is a C-isomorphism and consequently φc is a parametrization.

In the next section, we will use the generalized open exponential arcs to build a parametrization to Pμ.

3. Construction of Generalized φ-Families of Probability Distributions

Let (T,Σ,μ), be a σ-finite, non-atomic measure space and consider a deformed exponential function φ:T×R[0,). In other words, φ(t,·) is convex for μ-a.e. tT and the limits limuφ(t,u)=0, limuφ(t,u)= for μ-a.e. tT hold. In this work we consider two additional conditions on the deformed exponential φ:

  • (a1)

    φ(t,x)=0, for all x<aφ, where aφ=infxR;φ(x)>0;

  • (a2)
    given a measurable function c:TR such that Tφ(t,c(t))dμ=1, we have
    Tφ(t,c(t)+λ)dμ<,forallλ>0. (11)

For a measurable function q:T(0,1), we define the q-deformed exponential function expq:T×R[0,) as expq(t,u)=expq(t)(u), where

expq(u)=[1+(1q)u]+1/(1q),

and [1+(1q)u]+=max{1+(1q)u,0}. In this case, the q-deformed exponential function satisfies the condition (a1) with aφ=11q. In the next example, we prove that the q-deformed exponential function satisfies the condition (a2) for 0<q<1.

Example 1.

Given α1, we consider two cases:

If u0, we have that αuu. Then,

expq(αu)expq(u)α11qexpq(u).

If u>0, we obtain

expq(αu)=1+(1q)αu11q=(αα1+(1q)αu)11q=α11q(α1+(1q)u))11qα11q(1+(1q)u))11q=α11qexpq(u).

By the convexity property of expq(t,.), we obtain for any λ(0,1) that

expq(c+u)λexpq(λ1c)+(1λ)expq((1λ)1u)λ11/(1q)expq(c)+(1λ)11/(1q)expq(u).

Then, any positive function u0:T(0,) such that Texpq(u0)dμ< satisfies Texpq(c+λu0)dμ< for all λ>0.

Now, we provide an example of a deformed exponential function that satisfies condition (a1), but does not satisfy condition (a2).

Example 2.

Consider the function

φ(u)=e(u+1)2/2,u0e1/2(u+1),1u0,0,u1

where the measure μ is σ-finite and non atomic. Note that φ is convex, and satisfies φ(x)=0, for all x<aφ, where aφ=inf{xR;φ(x)>0} and limuφ(u)=. We will find a measurable function c:TR with Tφ(c)dμ<, but Tφ(c+λ)dμ=, for some λ>0. For each m1, we consider

vm(t):=mlog(2)321Em(t),

where Em=tT;mlog(2)32>0 and 1Em(t)=1,tEm(t)0,tEm(t). Since vm, we can find a subsequence {vmn} such that

Emne(vmn+2)2/2dμ2n.

According to [17], there exists a subsequence wk=vmnk and pairwise disjoint sets AkEmnk for which

Ake(vmn+2)2/2dμ=1.

Let us define c=c¯1TA+k=1wk1Ak where A=k=1Ak and c¯ is any measurable function such that φ(c¯(t))>0 for tTA and TAφ(c¯)dμ<. Observing that

e(wk(t)+2)2/2=2mnke(wk(t)+1)2/2,fortAk,

we obtain

Ake(wk(t)+1)2/2dμ=12mnk,for everym1.

Hence, we can write

Tφ(c)dμ=TAφ(c¯)dμ+k=1Ake(wk(t)+1)2/2dμ=TAφ(c¯)dμ+k=112mnk<.

On the other hand, we also have

Tφ(c+1)dμ=TAφ(c¯)dμ+k=1Ake(wk(t)+2)2/2dμ=TAφ(c¯)dμ+k=11=,

which shows that (a2) is not satisfied.

Definition 2.

We say that p and z in Pμ are φ-connected by an open arc, if there exists an open interval I[0,1] and a constant κ(α), such that

φ((1α)φ1(p)+αφ1(z)κ(α))Pμ, (12)

for each αI, where κ(α) depends of α, p and z.

According to the proof proved in [11], we have that κ(α)0 for each α[0,1]. Indeed,

  • for α=0,1, we have clearly that κ(α)=0;

  • for α(0,1), the convexity of the function of the φ ensures that 0φ((1α)φ1(p)+αφ1(z))<(1α)p+αz. Integrating the inequality we obtain
    0Tφ((1α)φ1(p)+αφ1(z))dμ1.
    Since κ(α) satisfies
    Tφ((1α)φ1(p)+αφ1(z)κ(α))dμ=1,
    then κ(α)0, for α[0,1].

Now we will define, by using generalized exponential arcs, important sets for the construction of generalized φ-family of probability distributions. Let us define

κ˜(α)=supλ>0;ε>0where(1α)φ1(p)+αφ1(z)λ>aφ,μ-a.e.tT,foreachα(ε,1+ε).

as p and z are φ-connected by an open arc, we have that (1α)φ1(p)+αφ1(z)κ(α)>aφ, for each αI. Hence, κ(α)<κ˜(α), i.e., κ(α)[,κ˜(α)). For pPμ, where p=φ(c), consider the set

Rcφ=qPμ;ε>0where(1α)φ1(p)+αφ1(z)κ˜(α)aφ,μ-a.e.tT,foreachα(ε,1+ε).

We will show that the set

Acφ=qRcφ;ε>0whereTφ((1α)φ1(p)+αφ1(z)κ˜(α))dμ<1,foreachα(ε,1+ε) (13)

is a generalized φ-family of probability distributions.

Consider the partition of Pμ into equivalence classes using the following relation: given p, zPμ we say that pz if and only if p and z are φ-connected by an open arc. This equivalence relation is necessary to define an atlas modeled on Banach spaces.

Consider then Lcφ be the Musielak–Orlicz space, given as

Lcφ=uL0;ε>0whereTφ(c+λu)dμ<,foreachλ(ε,ε)

and the set

Ncφ=uLcφ;ε(0,1)wherec+λuaφ,foreachλ[ε,ε],.

Lemma 1.

The set Ncφ is a closed subspace.

Proof. 

Clearly 0Ncφ. Given u,vNcφ, there exist ε1,ε2(0,1), such that

c+λuaφ,μ-a.e.,foreachλ[ε1,ε1]

and

c+λvaφ,μ-a.e.,foreachλ[ε2,ε2].

Considering ε=min{ε1,ε2}, we have that u+vNcφ. Finally, given αR we obtain αuNcφ, since c+λ(αu)aφ,μ-a.e.,foreachλε1α,ε1α.

The fact that remains to show is that Ncφ is closed. For this, let (un)Ncφ, convergent μ-a.e. for uLcφ. This implies that there exists a subsequence (un), such that c+λunc+λu,μ-a.e. tT.

Then, for each nN we can find εn(0,1), with c+λunaφ,μ-a.e. tT, for each λ[εn,εn].

The compactness of [εn,εn] ensures that the coverage (ε¯nδ,ε¯n+δ);nN admits a finite undercoverage. Let {ε¯1δ,ε1+δ,,ε¯n0δ,εn0+δ} the set of the elements that constitute the finite undercoverage. Taking ε¯=min{ε¯1δ,ε¯1+δ,,ε¯n0δ,ε¯n0+δ}, it follows that c+λunaφ,μ-a.e. tT, for each λ[ε¯,ε¯].

Passing to the limit, we obtain c+λuaφ,μ-a.e. tT, for each λ[ε¯,ε¯]. Therefore, uNcφ and consequently Ncφ is closed.  □

Define the set

K˜cφ=uNcφ;ε(0,1),suchthatTφ(c+λu)dμ<,foreachλ(ε,1+ε). (14)

Lemma 2.

The set K˜cφ is open in Ncφ.

Proof. 

Let uK˜cφ. Then, there exists ε(0,1), such that Tφ(c+αu)dμ< for each α[ε,1+ε] and uNcφ. Considering δ=2ε(1+ε)1+ε21, we have that for any vBδ=wNcφ;||w||Φc<δ it occurs IΦcvδ1 and consequently Tφc+1δ|v|dμ2. Given α0,1+ε2 we denote λ=α1+ε. The inequality

α1λ=α1α1+ε1+ε211+ε21+ε=2ε(1+ε)1+ε2=1δ,

implies

φ(c+α(u+v))φλφc+αλ+(1λ)φc+α1λvλφc+αλ+(1λ)φc+α1λvλφ(c+(1+ϵ)u)+(1λ)φc+1δ|v|.

For αε2,0, we can write

φ(c+α(u+v))12φ(c+2αu)+12φc+2αv12φ(c+2αu)+12φc+|v|.

Then, we have

Tφ(c+α(u+v))dμ<,

for any αε2,1+ε2. Hence, u+vKcφ and since Ncφ is a subspace, we obtain u+vK˜cφ. As a consequence, Bδ(u) is contained in K˜cφ and therefore the set K˜cφ is open.  □

The set K˜cφ defined in (14) is important to guarantee that φ(c+αu) may be in Pμ. Now, we establish a relationship between the connection by an open arc and K˜cφ similar to that was proved in [14].

Proposition 2.

Fix pPμ. We say that zPμ is φ-connected to p by an open arc, if and only if, there exists an open interval I[0,1] and a random variable uLcφ, such that p(α)φ(c+αu)Pμ, for each αI and p(0)=p and p(1)=z.

Proof. 

Since that z is φ-connected to p by an open arc, there exists an interval I[0,1], such that Tφ((1α)φ1(p)+αφ1(z))dμ<, for each αI. Considering u=φ1(z)φ1(p), we have

Tφ(c+αu)dμ=Tφ(φ1(p)+α(φ1(z)φ1(p)))dμ=Tφ((1α)φ1(p)+αφ1(z))dμ,

where u=φ1(z)φ1(p) and φ(c)=p. Therefore uLcφ. Another conclusion that arises from the fact of q is φ-connected to p by a open arc is that (1α)φ1(p)+αφ1(z)κ(α)>aφ. Hence, p(α)φ(c+αu)Pμ, for each αI and p(0)=p and p(1)=z.

Reciprocally, taking p(1)=q, we get φ(c+u)=z, and consequently u=φ1(z)φ1(p) with φ(c)=p=p(0).  □

One should notice that as a consequence of Proposition 2, given p,zPμφ-connected by an open arc, the random variable uK˜cφ=KcφNcφ. In fact, this follows from two reasons: as p,zPμ it follows that φ1(p),φ1(z)>aφ and as z is φ-connected the p by an open arc we have Tφ(c+αu)dμ< for each α(ε,1+ε).

Remark 1.

Since the function φ-arc is injective, in the Proposition 2 only the case zp is considered. Therefore, there exists zAcφ such that zp.

Lemma 3.

Let zAcφφ-connected to p by an open arc. The map

V(λ)=Tφ((1α)φ1(p)+αφ1(z)λ)dμ

is then well defined. Moreover, V(λ) is strictly increasing.

Proof. 

Proposition 2 ensures that p(α)φ(c+αu)Pμ, where u=φ1(z)φ1(p)K˜cφ and φ(c+u)=z. Then, we can find ε>0 such that φ(c+(1+ε)(φ1(z)φ1(p))) is μ-integrable. Given α(ε,1+ε), taking λ¯=α1+ε, we obtain

φ((1α)φ1(p)+αφ1(z)λ)=φλ¯c+αλ¯(φ1(z)φ1(p))+(1λ¯)c+α1λ¯λλ¯φc+αλ¯(φ1(z)φ1(p))+(1λ¯)φc+α1λ¯λ,

and consequently φ((1α)φ1(p)+αφ1(z)λ) is μ-integrable, for every λR and for each α(ε,1+ε). This proves that V(λ) is well defined. By the dominated convergence theorem, the map λV(λ)=Tφ((1α)φ1(p)+αφ1(z)λ)dμ is continuous, limλV(λ)=0 and limλV(λ)=. Hence, given λ{λR;(1α)φ1(p)+αφ1(z)λ>aφ,μ-a.e.tT, foreachα(ε,1+ε)}, we have that V(λ) is strictly increasing.  □

Proposition 3.

Fix p=φ(c)Pμ and zRcφ. Then, zAcφ if, and only if z is φ-connected the p by a open arc.

Proof. 

Given zAcφ there exists ε>0, such that Tφ((1α)φ1(p)+αφ1(z)κ˜(α))dμ<1 and (1α)φ1(p)+αφ1(z)κ˜(α)aφ, μ-a.e. tT for each α(ε,1+ε). Then, Tφ((1α)φ1(p)+αφ1(z))dμ< for each α(ε,1+ε) which ensures that q is φ-connected to p by an open arc.

Reciprocally, take zRcφφ-connected to p by an open arc. In this way there exists ε>0, where Tφ((1α)φ1(p)+αφ1(z)κ(α))dμ=1 and (1α)φ1(p)+αφ1(z)κ(α)>aφ, for each α(ε,1+ε). Note that

Tφ((1α)φ1(p)+αφ1(z)κ˜(α))dμTφ((1α)φ1(p)+αφ1(z)κ(α))dμ=1, (15)

because κ(α)<κ˜(α), for each α(ε,1+ε) and φ is non-decreasing. Suppose that zAcφ, there exists α(ε,1+ε) such that

Tφ((1α)φ1(p)+αφ1(z)κ˜(α))dμ1. (16)

The Equations (15) and (16) ensure that Tφ((1α)φ1(p)+αφ1(z)κ˜(α))dμ=1 for each α(ε,1+ε). Therefore, by Lemma 3 it exists a unique λ0 satisfying (1α)φ1(p)+αφ1(z)λ0>aφ,μ-a.e.tT, such that V(λ0)=1. Since κ(α) is such that (1α)φ1(p)+αφ1(z)κ(α)>aφ,μ-a.e.tT,foreachα(ε,1+ε), it follows that λ0=κ(α) and consequently κ(α) is unique. Hence, κ(α)=κ˜(α) for each α(ε,1+ε), that is an absurd.  □

By Corollary 3 the sets Acφ are the connected components of Pμ. Then, we need to find a domain for the parametrization in such a way that the image is Acφ.

We will make some similar considerations to the ones present in [10].

Remark that, for uK˜cφ, φ(c+u) is not necessarily in Pμ. Define ψ:K˜cφR, such that the density

φc(u)=φ(c+uψ(u)) (17)

is contained in Pμ. We have that the open domain maximal of ψ is contained in K˜cφ. Note that ψ is well defined, since c+uψ(u)>aφ,μ-a.e.tT. It can be then proved that ψ:K˜cφR is convex, and as a consequence ψ:K˜cφR is continuous, since K˜cφ is open by Lemma 2.

Let φ+ be the operator acting on the set of real-valued functions u:TR given by φ+(u)(t)=φ+(t,u(t)), where φ+(t,.) is the right-derivative of φ(t,.). Also, notice that the function ψ:K˜cφR can assume both positive and negative values. Consider the closed subspace

B˜cφ=uNcφ;Tuφ+(c)dμ=0.

Observe that the image of ψ will be contained in [0,), since the domain of ψ is restricted to a B˜cφ. By the convexity property of φ(t,.), we have

uφ+(t,c(t))φ(t,c(t)+u)φ(t,c(t))foralluR.

Hence, we have that

1=uφ+(c)dμ+φ(c)dμφ(c+u)dμ<foranyuK˜cφB˜cφ=B˜cφ.

Thus, it follows that ψ(u)0 in order to φ(c+uψ(u)) be in Pμ.

Given a measurable function c:TR such that p=φ(c) is a probability density in Pμ. Consider the set

Mcφ=(Mcφ)1(Mcφ)2,

where

(Mcφ)1={uB˜cφ;c+α(uψ(u))κ˜(α))>aφμ-a.e.foreachαI[0,1]}

and

(Mcφ)2=uB˜cφ;Tφ(c+α(uψ(u))κ˜(α)))dμ<1,foreachαI[0,1].

Proposition 4.

Given uMcφ, we have that φ(c+uψ(u))Acφ.

Proof. 

Given uMcφ, we have

c+α(uψ(u))+κ˜(α))>aφ

and

Tφ(c+αu(αψ(u)+κ˜(α)))dμ<1,μ-a.e.tT,foreachαI[0,1].

Hence,

(1α)φ1(p)+αφ1(φ(c+uψ(u)))κ˜(α)=(1α)c+α(c+uψ(u))κ˜(α)=c+α(uψ(u))κ˜(α)>aφ,

for each αI[0,1], which implies in φ(c+uψ(u))Rcφ. In addition,

Tφ((1α)φ1(p)+αφ1(φ(c+uψ(u))κ˜(α))dμ=Tφ(c+α(uψ(u))κ˜(α))dμ<1,

for each αI[0,1] and therefore, φ(c+uψ(u))Acφ.  □

Proposition 5.

The set Mcφ is open in Bcφ.

Proof. 

Consider the sets

(Mcφ)1={uB˜cφ;c+α(uψ(u))κ˜(α)>aφμ-a.e.foreachαI[0,1]}

and

(Mcφ)2=uB˜cφ;Tφ(c+α(uψ(u))κ˜(α))dμ<1,foreachαI[0,1].

Define the functions

f(α,u)=c+αuαψ(u)κ˜(α)andg(α,u)=Tφ(c+αuαψ(u)κ˜(α))dμ.
  1. The function f is well defined and continuous, since ψ:K˜cφR is continuous;

  2. The map g is well defined in (Mcφ)2 and continuous, since φ and ψ are continuous.

Moreover, given uMcφ, in particular u(Mcφ)1 and u(Mcφ)2. By the continuity of f and g respectively, exist ε1,ε2(0,1), such that for each v1Bε1(u)Bcφ, we have f(v1)>aφ and for each v2Bε2(u)Bcφ, we have g(v2)<1. Taking, ε=minε1,ε2, we obtain that Bε(u)Mcφ and consequently Mcφ is open in Bcφ.  □

Clearly Pμ={Acφ;φ(c)Pμ}. Consider the measurable functions c1,c2:TR, where p1=φ(c1) and p2=φ(c2) belong to Pμ. The parametrization φc1:Mc1φAc1φ and φc2:Mc2φAc2φ have a transition map given as

φc21φc1:φc11(Ac1φAc2φ)φc21(Ac1φAc2φ).

Given ψ1:Mc1φ[0,) and ψ2:Mc2φ[0,) being the normalizing functions associated to c1 and c2, respectively, and the functions uMc1φ and vMc2φ are such that φc1(u)=φc2(v)Ac1φAc2φ. So, we have

v=c1c2+uψ1(u)+ψ2(v). (18)

Multiplying the Equation (18) by (φ)+(c2) and integrating with respect to the measure μ, once the function v is in Mc2φ, we obtain

0=T(c1c2+u)(φ)+(c2)dμψ1(u)T(φ)+(c2)dμ+ψ2(v)T(φ)+(c2)dμ,

and we can write

ψ2(v)=T(c1c2+u)(φ)+(c2)dμT(φ)+(c2)dμ+ψ1(u)T(φ)+(c2)dμT(φ)+(c2)dμ.

Therefore

v=c1c2+uψ1(u)T(c1c2+u)(φ)+(c2)dμT(φ)+(c2)dμ+ψ1(u)T(φq)+(c2)dμT(φq)+(c2)dμ.

Hence, the transition map φc21φc1 can be expressed as

φc21φc1(w)=c1c2+wT(c1c2+w)(φ)+(c2)dμT(φ)+(c2)dμ, (19)

for every wφc11Ac1φAc2φ. Showing that w and c1c2 are in Lc2φ and the spaces Lc1φ and Lc2φ have equivalent norms we obtain that this transition map will be of class C.

In the next corollary we have that Musielak–Orlicz spaces are equal. The proof follows as the one provided in [14].

Corollary 1.

Let p,zPμφ-connected by an open arc, where p=φ(c) and z=φ(c˜). Then, Lcφ=Lc˜φ.

Proof. 

We have that z is φ-connected to p by a open arc. Then, by Corollary 3, we have that c˜=c+uψ(u). The result follows immediately from [10].  □

It follows from Corollary 1 that φc21φc1 is of class C, and consequently, the set φc11Ac1φAc2φ is open in Bcφ.

Proposition 6

([14], Proposition 8). The relation given in the Definition 2 is an equivalence relation.

Proof. 

Since reflexivity and symmetry properties immediately follow from the definition, we will only prove transitivity. Let be p,z,sPμ, such that,

p(t)φ(c+tu),s(t)φ(c+tv),t(ε,1+ε)

with p(0)=φ(c)=p, p(1)=φ(c+u)=z,s(0)=φ(c)=p, s(1)=φ(c+v)=s and u,vNcφ. Consider

z(t)φ(c+(1t)u+tv)φ(c+u+t(vu))

is defined with c+u=c˜,p(t)φ(c˜+t(vu)), where z(0)=φ(c˜)=φ(c+u)=z, z(1)=φ(c˜+(vu))=φ(c+v)=s. Therefore z and s are φ-connected.  □

As a consequence of the Corollary 3 and of the Proposition 6 we have that the φ-families Acφ are maximal, in the sense that AcφAc˜φ= or if AcφAc˜φ, then Acφ=Ac˜φ.

Hence, we can write the following proposition.

Proposition 7.

The collection Mcφ,φcφ(c)Pμ equip Pμ with a C-differentiable structure.

4. The Tangent Bundle

In the previous section, the expression of the transition application φc21φc1 was important to garantee that Pμ could be equipped with a C-Banach structure. Now, we will use the transition application to find the tangent space of Pμ at the point p=φ(c) and the tangent bundle.

Given pPμ, we consider the triple (Acφ;φc1;v), where Acφ is the φ-family, φc is the parametrization and v is a vector in φc1(Acφ) which is contained in the vector space LΦc.

Let us define the following equivalence relation:

(Acφ;φc1;v)(Ac˜φ;φc˜1;w)(φc˜1φc)(φc(p))(v)=w.

The class [Acφ;φc1;v] is called the tangent vector of Pμ in p and the set of all classes is called the tangent space and is denoted by Tp(Pμ). For more details we refer the reader to [20].

The vector vφc1(Acφ) is the velocity vector of a curve in the parametrization domain. In fact, consider (Ac1φ,φc11) and (Ac2φ,φc21) be charts about pPμ and g:ITPμ a curve such that g(t0)=p, for some t0T. Taking g(t)=φc1(u1)=φ(c1+u1ψ(u1)), we have that u1(t)=φc11(g(t)). Moreover, g(t)=φc1(u1) and u2(t)=φc21(g(t)). Using random variables we have that u2(t0)=φc21(g(t0))=φc21φc1(u1(t0)). Hence, by the chain rule we can write

u2(t0)=(φc21φc1)(u1(t0))u1(t0)=(φc21φc1)(φc11(p))u1(t0).

We will denote τ(Pμ) as the tangent bundle, which is defined as the disjointed unity of Tp(Pμ), that is,

τ(Pμ)=pPμTp(Pμ).

Proposition 8.

The local representation of the tangent bundle τ(Pμ) is of the form

(u1,v1)φc21φc1(u1),v1Tv1(φ)+(c2)dμT(φ)+(c2)dμK˜c2φ×Lc2φ. (20)

Proof. 

Given wφc11Ac1φAc2φ, we have that the derivative of the map φc21φc1 evaluated at w in the direction of vLcφ is of the form

φc21φc1(w)v=vTv(φ)+(c2)dμT(φ)+(c2)dμ. (21)

In fact, by the convexity of φ, we have that

T(c1c2+w)(φ)+(c2)dμT[φ(c1+w)+φ(c2)]dμ.

Since wφc11Ac1φAc2φK˜c1φ, we have that φ(c1+w) is μ-integrable, and consequently, T(c1c2+w)(φ)+(c2)dμ is μ-integrable. Then, from the dominated convergence theorem follows that (21) occurs.

The tangent bundle is then denoted by

τ(Pμ)={(φc(u),v);φc(u)AcφPμ and v is a tangent vector to φc(u)}.

Its charts are expressed as

(v,u)τ(Acφ)φc21(v),vTv(φ)+(c2)dμT(φ)+(c2)dμ,

which was defined in the collection of open subsets Ac1φ×K˜c1φ of Pμ×Lc1φ. Then, since Equation (21) occurs, the transition mappings are given for (u1,v1)K˜c1φ×Lc1φ by

(u1,v1)φc21φc1(u1),v1Tv1(φ)+(c2)dμT(φ)+(c2)dμK˜c2φ×Lc2φ. (22)

  □

5. Divergence in Statistical Manifolds

This section will be divided into two parts. The first one is responsible by the definition of the φ-divergence for the case where φ is the deformed exponential defined in Section 3 and to define a divergence using the q-exponential. In the second part, we prove that the q-exponential and κ-exponential functions can be used to generalize the divergence of Rényi [13,21].

5.1. The φ-Divergence and q-Divergence

To define the divergence associated to the normalization function ψ:K˜cφR is necessary the convexity of ψ. This is guaranteed by the fact that Ncφ is a subspace and ψ:KcφR is convex [10]. In this way, the Bregman’s divergence Bψ:B˜cφ×B˜cφ[0,) associated the ψ:B˜cφ[0,) is given by [22,23,24]

Bψ(v,u)=ψ(v)ψ(u)+ψ(u)(vu). (23)

Then, we can define the divergence Dψ:B˜cφ×B˜cφ[0,) related the generalized φ-family Acφ as Dψ(u,v)=Bψ(v,u).

Given u,vB˜cφ, we have that φ(c+uψ(u)),φ(c+vψ(v))Pμ and as a consequence c+uψ(u),c+vψ(v)>aφ. Supposing φ is continuously differentiable, it follows that the divergence Dψ does not depend on the parametrization of Acφ. This allows us to define the divergence between the probability densities p=φc(u) and z=φc(v), for u,vB˜cφ as

D(pz)=Dψ(u,v)=Tφc1(p)φc1(z)(φc1)(p)dμT1(φc1)(p)dμ. (24)

Note that the divergence is well defined inside the same φ-family. The condition D(pz)= if p and z are not in the same φ-family extends the divergence for Pμ. We will denote those divergence by Dφ and called it φ-divergence [10].

Given u,vB˜cφ, we have that u,v>aφ, then φ(t,.) is strictly convex in B˜cφ, and therefore Dφ is always non-negative and Dφ(pz) is equal to zero if and only if p=z. In the following example, we find the φ-divergence for the case in which the deformed exponential function φ is the q-deformed exponential function.

Example 3.

Consider the q-exponential expq(t,u)=expq(t)(u) instead of φ(t,u), whose inverse φ1(t,u) is the q-logarithm lnq(t,u)=lnq(t)(u). Then, we have

D(pz)=Tlnq(p)lnq(z)lnq(p)dμT1lnq(p)dμ,

where lnq(p) denotes lnq(t)(p(t)). Since the q-logarithm lnq(u)=u1q11q, has as derivative lnq(u)=1uq, we have that

Tlnq(p)lnq(z)lnq(p)dμ=Tp1q11qz1q11q1pqdμ=Tpq(p1qz1q)1qdμ

and

T1lnq(p)dμ=T11pqdμ=Tpqdμ.

Therefore

D(pz)=Tpq(p1qz1q)1qdμTpqdμ. (25)

The divergence D(pz) in (25) is related with the q-divergence defined in (6). In fact,

I(q)(pz)=Tzfpzdμ=Tzpzlnqzpdμ=Tplnq(z)lnq(p)1+(1q)lnq(p)dμ=Tpz1qp1q/(1q)1+(1q)p1q1(1q)dμ=Tpqp1qz1q(1q)dμ.

Then D(pz)=I(q)(pz)Tpqdμ and we can define the metric g:Σ(Pμ)×Σ(Pμ)F(Pμ) as

g(u,v)=qTuvzdμTzqdμ, (26)

where Σ(Pμ) is the set of vector fields u:AcφTp(Acφ) and F(Pμ) the set of C functions f:AcφR. This map is well defined, since upD(pz)|p=z=0 and vpD(pz)|p=z=0.

Notice that considering Tpqdμ=1 we will have that divergence in (25) coincides with the q-divergence defined in [15], the metric in (26) coincides with the metric given in [25] and the family of covariant derivatives (connections) given by

wqu=wu(1q)ruw+uA2BwCA2,

where A=Tzqdμ,B=wpA|p=z and C=upA|p=z coincides with the family of covariant derivatives (connections) given in [25]. The notation wpA|p=z means the derivative of A in the direction of w in the point z when p=z.

5.2. Generalization of Divergence of Rényi and expκ

Now, we will recall that the Rényi divergence is related with the φ-divergence and we will see that a necessary and sufficient condition for the existence of generalization of Rényi divergence is the condition (a2). Consequently, we prove that the q-deformed exponential and κ-exponential functions can be used in the generalization of Rényi divergence.

In [12] was defined a generalization of the Rényi divergence of order α(0,1) as

DR,φ(α)(pz)=κ(α)α(1α), (27)

where κ(α) satisfies the Equation (12). This generalization in the case α{0,1} is defined as the limit

DR,φ(0)(pz)=limα0DR,φ(α)(pz) (28)

and

DR,φ(1)(pz)=limα1DR,φ(α)(pz). (29)

The limits in (28) and (29), under some conditions, are finite-valued and converges to the φ-divergence:

DR,φ(0)(zp)=DR,φ(1)(pz)=Dφ(pz)<.

In the next proposition we have that a necessary and sufficient condition to connect two probability densities of Pμ by an open arc is the condition (a2).

Proposition 9

([12], Proposition 1). Let μ be a non-atomic measure. Consider φ:R[0,) be a positive, deformed exponential function. Fix any α(0,1). The condition (a2) is satisfied if, and only if, given p and z in Pμ, there exists a constant κ(α):=κ(α;p,z) such that

Tφ((1α)φ1(p)+αφ1(z)κ(α))dμ=1. (30)

In the Example 1, where the measure μ was assumed to be non-atomic, we have that the q-exponential function satisfies the condition (a2). Then, by Proposition 9 and Equation (27), we conclude that this function can be used in the generalization of Rényi divergence. Analogously, the function given in the Example 2 cannot be used in the generalization of Rényi divergence.

Supposing that μ is non-atomic, it is presented on the next proposition an equivalent criterion for a deformed exponential function φ to satisfy condition (a2).

Proposition 10

([12], Proposition 3). Let φ:R[0,) be a deformed exponential function. Then (a2) is satisfied if, and only if,

lim supuφ(u)φ(uλ0)<,forsomeλ0>0.

In the next example, we will show a class of deformed exponential functions that can be used in the generalization of Rényi divergence.

Example 4.

We will show that the Kaniadakis κ-exponential expκ(.) satisfies the condition (a3). The κ-exponential expκ:R(0,) for κ[1,1] is defined as [26,27]

expκ(u)=κu+1+κ2u21κ,ifκ0,exp(u)ifκ=0.

Its inverse, the so called κ-logarithm logκ:(0,)R, is given by

logκ(u)=vκvκ2κ,ifκ0,ln(v)ifκ=0.

We will verify that there exists α(0,1) and λ>0 for which

λlogκ(v)logκ(κv),forallv>0. (31)

Some manipulations imply that the derivative of logκ(v)logκ(αv) is negative for 0<vv0 and positive for vv0, where

v0=ακ11ακ12κ>0.

Consequently, the difference logκ(v)logκ(αv) attains a minimum at v0. Given α(0,1), inequality (31) is satisfied for some λ>0. Inserting v=expκ(u) into (31), we can write

αexpκ(u)expκ(uλ),foralluR. (32)

If nN is such that nλ1, then a repeated application of (32) yields

αnexpκ(u)expκ(unλ)expκ(u1),foralluR.

Then,

lim supuφ(u)φ(uλ0)=lim supuexpκ(u)expκ(u1)lim supu1αn<.

Therefore, by Proposition 10 Kaniadakis κ-exponential expκ(.) satisfies the condition (a2).

As consequence of the Example 4 and Proposition 9, we have that expκ(u) can be used in the generalization of Rényi divergence.

6. Conclusions

In this paper we constructed a parametrization of the statistical Banach manifold using a deformed exponential function. We have found the tangent space of Pμ in p and we also constructed the tangent bundle of Pμ. We defined the φ-divergence where φ is the q-exponential function and we establish a relation between this divergence and the q-divergence defined in [15]. Another important contribution is that the q-exponential and κ-exponential functions can be used to generalize the divergence of Rényi. The perspective for future works is to define the parallel transport, once we find the tangent plane. We also intend to construct a parametrization for Pμ using a deformed exponential function satisfying (a1) in the case where for each measurable function c:TR, with Tφ(c)dμ=1, there exists a measurable function u0c:TR, such that Tφ(c+λu0c)dμ<, for each λ>0.

Author Contributions

Conceptualization, F.L.J.V., R.F.V. and C.C.C.; writing—original draft, F.L.J.V.; writing—review and editing, F.L.J.V., L.H.F.d.A., R.F.V. and C.C.C.

Funding

The authors would like to thank Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES)-Finance Code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (Procs. 309472/2017-2 and 408609/2016-8) and FUNCAP (Proc. IR7-00126-00037.01.00/17).

Conflicts of Interest

The authors declare no conflict of interest.

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