1. Introduction
One of the main topics of Information Geometry, which is regarded as a combination of differential geometry and statistics, deals with families of probability distributions, more exactly with their invariant properties. Information Geometry has many applications in image processing, physics, computer science, machine learning, etc.
In [
1], Amari defined a statistical manifolds and presented some applications in Information Geometry. Such a manifold deals with dual connections (or conjugate connections), and, consequently, is closely related to an affine manifold.
Let 
 be an affine connection on a Riemannian manifold 
. A pair 
 is a 
statistical structure on 
 if
      
      for any 
 [
2]. A Riemannian manifold 
 on which a pair of torsion-free affine connections 
 and 
 satisfying
      
      is defined for any 
 and 
Z ∈ 
 is called a 
statistical manifold; one says that the connections 
 and 
 are 
dual connections (see [
1,
3]).
Any torsion-free affine connection 
 always has a dual connection given by
      
      where 
 denotes the Levi–Civita connection of 
 [
1].
One challenge in submanifold theory is to obtain relations between the intrinsic and extrinsic invariants of a submanifold. An important new step in this topic is due to B.-Y. Chen, starting from 1993 [
4]; he established such inequalities in a real space form, known as Chen inequalities. Since then, many geometers have studied this problem for different kind of submanifolds in certain ambient spaces (for example, see [
5,
6,
7,
8,
9,
10]). For the collections of the results related to Chen inequalities see also [
11] and references therein.
The squared mean curvature is the main extrinsic invariant; the classical curvature invariants, namely the scalar curvature and the Ricci curvature, represent the main intrinsic invariants. A relation between the Ricci curvature and the main extrinsic invariant squared mean curvature for a submanifold in a real space form was given in [
7] by B.-Y. Chen and now known as the Chen–Ricci inequality. In [
12,
13], K. Matsumoto and I. Mihai found relations between Ricci curvature and the squared mean curvature for submanifolds in Sasakian space forms. In [
14], A. Mihai and I. N. Rădulescu proved a Chen inequality involving the scalar curvature and a Chen–Ricci inequality for special contact slant submanifolds of Sasakian space forms.
Furthermore, in [
15], M. E. Aydın, A. Mihai and I. Mihai established relations between the extrinsic and intrinsic invariants for submanifolds in statistical manifolds of constant curvature. In [
16], A. Mihai and I. Mihai considered statistical submanifolds of Hessian manifolds of constant Hessian curvature. As generalizations of the results given in [
15], H. Aytimur and C. Özgür studied same problems for submanifolds in statistical manifolds of quasi constant curvature [
17].
Recently, in [
18], B.-Y. Chen, A. Mihai and I. Mihai gave the Chen first inequality for statistical submanifolds in Hessian manifolds of constant Hessian curvature.
In [
19], H. Aytimur, M. Kon, A. Mihai, C. Özgür and K. Takano established a Chen first inequality and a Chen inequality for the invariant 
 for statistical submanifolds of Kähler-like statistical manifolds, under a curvature condition. Very recently, in [
20], A. Mihai and I. Mihai proved a Chen inequality for the 
-invariant; also, the 
-invariant was studied in other ambient spaces by G. Macsim, A. Mihai and I. Mihai (see [
21]), for example for Lagrangian submanifolds in quaternionic space forms.
Motivated by the above mentioned studies, as a continuation of the results obtained in [
19], in the present paper we prove Chen first inequality and a Chen inequality for the invariant 
 for statistical submanifolds of Sasaki-like statistical manifolds, under a natural curvature condition.
  2. Sasaki-Like Statistical Manifolds and Their Submanifolds
Let 
 be an odd dimensional manifold and 
 be a tensor field of type 
, a vector field and a 1-form on 
, respectively. If 
 and 
 satisfy the following conditions
      
      for 
, then 
 is said to have an almost contact structure 
 and it is called an 
almost contact manifold.
In [
22], K. Takano started with a semi-Riemannian manifold 
 with the almost contact structure 
, on which another tensor field 
 of type 
 satisfying
      
      for vector fields 
X and 
Y on 
 is considered.
 is called an 
almost contact metric manifold of certain kind [
22,
23].
One has 
 and the following important relation holds:
From (
4), it follows that the tensor field 
 is not symmetric with respect to 
. This means that 
 does not vanish everywhere. On the almost contact manifold, we have 
 and 
; then, on the almost contact metric manifold of certain kind, one has 
 and 
.
In [
22], Takano defined a statistical manifold on the almost contact metric manifold of certain kind. 
 is called a 
Sasaki-like statistical manifold if
      
Suppose that the curvature tensor 
 with respect to 
 satisfies
      
      where 
c is a constant (see [
22]).
By interchanging 
 and 
 in (
8), one obtains the similar condition for curvature tensor 
.
If  is a Sasaki manifold, then the previous relation represents the curvature condition of being a Sasakian space form (i.e., the -sectional curvature is constant, c).
On a statistical manifold, the curvature tensor fields of 
 and 
, respectively, denoted by 
 and 
 satisfy the relation
      
      (see [
2]).
Let 
 be an immersion, where 
 is a statistical manifold. One considers a pair 
 on 
M, defined by
      
      for any 
, where the connection induced from 
 by 
f on the induced bundle 
 is denoted by the same symbol 
. Then 
 is a statistical structure on 
, called the one 
induced by f from 
 [
2].
Let 
 and 
 be two statistical manifolds. Then 
 is a 
statistical immersion if 
 coincides with the induced statistical structure, i.e., if (
1) holds [
2]. Recall that, for 
M an 
n-dimensional submanifold of 
, the Gauss formulas are
      
      where 
h and 
 are symmetric and bilinear, called 
the imbedding curvature tensors of 
M in 
 for 
 and 
, respectively. The connections ∇ and 
 are called the 
induced connections of 
 and 
, respectively. Since 
h and 
 are symmetric and bilinear, we have the linear transformations 
 and 
 defined by
      
      and
      
      for any unit vector in the normal bundle 
 and 
 [
3]. It is known that when we use the Levi–Civita connection, 
h and 
 are called the 
second fundamental form and the 
shape operator with respect to the unit 
, respectively, [
24].
Let 
 and 
 be affine and dual connections on 
. We denote the induced connections ∇ and 
 of 
 and 
, respectively, on 
M. Let 
, 
 and 
 be the Riemannian curvature tensors of 
 and 
, respectively. Then the Gauss equations are given by
      
      and
      
      where 
 [
3].
In the following, we recall an example of a Sasaki-like statistical manifold, for which the curvature tensor of  satisfies the Equation (8) with .
Example 1 ([22]). Let  be a -dimensional affine space with the standard coordinates . One defines a semi-Riemannian metric  on  by  One considers the affine connection , given bywhere  and . Its conjugate can be find by straightforward calculations.
One also defines  and η byand . Then  represents a Sasaki-like statistical manifold with the curvature tensor of  satisfying the Equation (8) with . From here, it can be easily found that Moreover, this manifold is not Sasaki with respect to the Levi–Civita connection.
 For 
 one decomposes
      
      where 
 and 
 are the tangential and normal components of 
, respectively.
Similarly, we can write
      
      where 
 and 
 are the tangential and normal components of 
, respectively.
Recall the following definitions from [
25]:
Let  be a Sasaki-like statistical manifold and M a submanifold of . For , if , then M is called an anti-invariant submanifold of . On the other hand, for a submanifold M, if , then M is called an invariant submanifold of .
Remark 1. For some examples of invariant and anti-invariant submanifolds of Sasaki-like statistical manifolds  and  endowed with the structure from the previous example see [25].  We will use the following standard notations (see also [
19]):
      and
      
Let 
 and 
 be orthonormal tangent and normal frames, respectively, on 
. The mean curvature vector fields are given by
      
      and
      
In [
26], B. Opozda introduced the 
K-sectional curvature of the statistical manifold in the following way: let 
 be a plane in 
; for an orthonormal basis 
 of 
, the 
K-sectional curvature was defined by
      
      where 
 is the curvature tensor field of Levi–Civita connection 
 on 
.
In next sections, we will use the same notation g for the metric on the ambient space, for the simplicity of writing.
  3. Chen First Inequality
In the present section, we recall the following algebraic lemma which will be used in the proof of the main theorem.
Lemma 1 ([18,19]). Let  be an integer and  n real numbers. Then we have The equality case of the above inequality holds if and only if .
 Let  be a -dimensional Sasaki-like statistical manifold satisfying (8), M an n-dimensional statistical submanifold of ,  and  a plane section at . We consider an orthonormal basis  of  and ,  orthonormal basis of  and , respectively.
We denote by 
 the sectional curvature of the Levi–Civita connection 
 on 
M and by 
 the second fundamental form of 
. From (
13), the sectional curvature 
 of the plane section 
 is
      
From (
8), (
9) and (
12),
      
      and
      
The last equality can be written again as
      
By using the Gauss equation with respect to Levi–Civita connection, we find
      
      where 
 the sectional curvature of the Levi–Civita connection 
 on 
.
On the other hand, let 
 be the scalar curvature of 
. Then, using (
13) and (
9), we get
      
      where 
 is the scalar curvature of the Levi–Civita connection 
 on 
. By using (
12) and (
8), we obtain
      
By similar calculations, we get
      
If we consider the last equality in (
15), we obtain
      
After straightforward calculations, we find
      
Using the last equality and (
5) in (
16), we get
      
The above equality can be written as
      
By using the Gauss equation with respect to the Levi–Civita connection, we have
      
By subtracting (
14) from (
17), we get
      
Using the above inequality, we get
      
Next, we can state the following main theorem.
Theorem 1. Let  be a -dimensional Sasaki-like statistical manifold satisfying (8) and M an n-dimensional statistical submanifold of .
 Assume that ξ is tangent to M.
 If M is invariant, then  If M is anti-invariant, then  If ξ is normal to M and M is anti-invariant, then Moreover, one of the equality holds in the all cases if and only if for any  we have    5. Conclusions
In Information Geometry, which is regarded as a combination of Differential Geometry and Statistics, one of the main topics and a modern one, at the same time, deals with families of probability distributions, more exactly with their invariant properties.
A challenge in submanifold theory is to obtain relations between extrinsic and intrinsic invariants of a submanifold. An important new step in this topic is due to B. Y. Chen, starting from 1993; new intrinsic invariants were introduced and such inequalities, known as Chen inequalities, were first established in a real space form. The introduction of Chen invariants was considered in the literature as one of the main contributions in classical Riemannian Geometry in the last decade of the 20-th century.
In this article, relations between extrinsic and intrinsic invariants of a submanifold, more precisely the Chen first inequality and a Chen inequality for the -invariant on statistical submanifolds of Sasaki-like statistical manifolds, under a curvature condition, are obtained.