1. Introduction
Convexity is an essential concept in pure and applied mathematics, serving as a potent instrument for analyzing functions and sets, establishing inequalities, and modeling and solving real-world problems. This concept is crucial for estimating integrals and establishing bounds in numerous mathematical fields and beyond [
1,
2,
3,
4,
5,
6,
7]. Thus, the convex function can be defined as follows:
A function
is convex if
If the inequality sign in (
1) is reversed, then
h is called a concave function on the set
U.
For example, in economics, for a production function
, the concavity of
h is expressed by saying that
h exhibits diminishing returns. If
h is convex, then it exhibits increasing returns. On the other hand, many new problems in applied mathematics are encountered where the notion of convexity is not enough to describe them, in order to reach favorable results. For this reason, the concept of convexity has been extended and generalized in several studies, see [
8,
9,
10,
11,
12,
13]. Curvature and torsion of Riemannian manifolds lead to a high level of nonlinearity when examining the convexity of such manifolds. A geodesic, is a locally length-minimizing curve, and the notion of a geodesic convex function occurs naturally in a complete Riemannian manifold, which has been studied in [
14,
15]. The geodesic bifurcation has equally been studied by many authors [
16,
17].
In 1999, an important generalization of the convex function, called the
E-convex function, was defined by Youness [
18]. This type of function has some applications in various branches of mathematical sciences [
19,
20]. On the other hand, Yang [
21] showed that some results given by Youness [
18] seem to be incorrect. Following these developments, Duca and Lupşa [
22] fixed the mistakes in both Youness [
18] and Yang [
21]. Therefore, Chen [
23] extended E-convexity to a semi E-convexity and discussed some of its properties. For more results on the E-convex function and semi
E-convex function, one should consult the following references [
22,
24,
25,
26,
27]. The geodesic convexity involving sets was first studied by [
28], who extended the existing concept of geodesic convexity defined by [
29]. Geodesic
E-convex sets and geodesic E-convex functions on Riemannian manifolds, are a new class of convex sets and functions, that Iqbal et al. introduced and researched in [
26], these were extended to geodesic strongly
E-convex sets and geodesic strongly
E-convex functions in 2015, by Adem and Saleh [
30]. In addition, Iqbal et al. [
25] introduced geodesic semi
E-convex functions. Following these developments, Adem and Saleh [
4] introduced geodesic semi
E-
b-vex (GSEB) functions, of which some properties were discussed.
Other developments include the work of Eshaghi Gordji et al. [
31], who introduced the notion of a
-convex function, in 2016. They equally studied Jensen and Hermite–Hadamard type inequalities related to this function. Moreover, the notion of
-convex functions was defined as the generalization of
-convex functions. Absos et al. further introduced the notion of a geodesic
-convex function, through which some basic properties of this function were studied [
32].
The structure of this article is as follows. Basic information about convex functions and convex sets is covered in
Section 2. The evaluation of the properties of
-convex functions is covered in
Section 3. In
Section 4, we discuss a new class of functions on Riemannian manifolds, called the geodesic
-convex function. Some of the properties of this function are also studied. In
Section 5, the characterization of geodesic
-convex functions, through their corresponding
-epigraphs, is reported.
2. Preliminaries
This section provides some definitions and properties that can later be used in the study, to report our results. Several definitions and properties of real number sets and the Riemannian manifold can be found in many different geometry books and papers [
15]. Throughout this paper, we consider an interval
in
and
is a bifunction.
Definition 1. Ref. [31]. A function is called φ-convex iffor all In the above definition, if
, then inequality (
2) becomes inequality (
1).
Definition 2. Ref. [31]. The function , is called - 1.
- 2.
non-negatively homogeneous if - 3.
non-negatively linear if φ is both non-negatively homogeneous and additive.
Definition 3. Ref. [18]. A set , is said to be an E-convex set if there is a mapping , such that Definition 4. Refs. [18,31]. Consider to be an E-convex set, then the function is said to be - 1.
an E-convex function, if - 2.
a -convex function, if
If
in inequality (
4), then we obtain the E-convex function.
Now, let
be a complete
m-dimensional Riemannian manifold, with Riemannian connection ▽. If
and
are two points on
N, and
is a piecewise smooth curve joining
to
and its length,
, is defined by
For any two points , we define a piecewise smooth curve connecting the points
Then d is a metric, which induces the original topology on N.
For every Riemannian manifold, there is a unique determined Riemannian connection, called a Levi–Civita connection, denoted by , for any vector fields . In addition, a smooth path , is a geodesic if and only if its tangent vector is a parallel vector field along the path , i.e., satisfies the equation . Any path joining and in N, such that , is a geodesic and is called a minimal geodesic. Let N be a complete n-dimensional Riemannian manifold, with metric g and Levi–Civita connection ▽. Moreover, considering that the points and is a geodesic joining , i.e., and .
Definition 5. Ref. [33]. Assume that are smooth manifolds. A map is a diffeomorphism if it is smooth, bijective, and the inverse is smooth. Definition 6. Ref. [15]. A subset , is called t-convex if and only if U contains every geodesic of N whose endpoints and are in U. Remark 1. If and are t-convex sets, then is a t-convex set, but is not necessarily a t-convex set.
Definition 7. Ref. [15]. A function is called geodesic convex if and only if for all geodesic arcs , thenfor each and . Definition 8. Ref. [26]. A set , is geodesic E-convex, where , if and only if there exists a unique geodesic of length , which belongs to U for every and . Definition 9. Refs. [26,32]. A function is said to be - 1.
geodesic E-convex if U is a geodesic E-convex set and - 2.
geodesic φ-convex if U is a t-convex set and
4. Properties of Geodesic -Convex Functions
This section makes the assumption that and is a geodesic joining , i.e., and , and E is a mapping, such that , where N is a complete n-dimensional Riemannian manifold, with Riemannian connection ▽. In addition, we define the geodesic -convex function in N and examine some of its characteristics.
Definition 10. A function is geodesic -convex if B is also a geodesic E-convex set andfor all If the above inequality strictly holds for all , then h is called a strictly geodesic -convex function.
Remark 2. If E is identity mapped in the above definition, then we have a geodesic φ-convex function. Moreover, ifthen we have a geodesic E-convex function. Example 2. This example shows that the geodesic -convex function on N does not necessarily have to be geodesic convex. Let and is defined as , then h is not geodesic convex in N. Now, by taking a function as and , then for any two points () and (), the geodesic joining them is a portion of a helix of the form for and for . Hence, Then h is a geodesic -convex function.
Theorem 3. Considering that is an E-convex set, then a function is a geodesic -convex if and only if for each the function is -convex on .
Proof. Let
K be
-convex on
, then
holds.
Also, let
then
Hence
Conversely, assume that
h is a geodesic
-convex function. By restricting the domain of
to
, and hence the parametrized form of this restriction can be rewritten as
Since
That means
Hence, K is -convex on . □
Proposition 1. - 1.
If is a geodesic -convex function, where φ is non-negative linear, then is also geodesic -convex.
- 2.
Let be two geodesic -convex functions, where φ is additive, then is also a geodesic -convex function.
Theorem 4. Suppose that is a geodesic E-convex set, is a geodesic E-convex function, and is a non-decreasing -convex function, such that . Then, is also a geodesic -convex.
Proof. The above theorem can be proved in the following way
Thus, is a geodesic -convex function. □
Theorem 5. Suppose that, are geodesic -convex functions and φ is non-negatively linear. Then the function is also a geodesic -convex, for all and .
Proof. Considering
, and since
are geodesic
-convex functions, then
Hence,
which means that
□
Now we consider that
and
are two complete Riemannian manifolds, and ▽ is the Levi–Civita connection on
. If
is a diffeomorphism, then
is an affine connection of
. Moreover, let
be a geodesic in
, then
is also a geodesic in
, see [
15].
Theorem 6. Suppose that is a geodesic -convex function and , then a sufficient condition for to be a geodesic -convex function, is H must be a diffeomorphism.
Proof. Assume that
is a geodesic joining
and
, where
. Since
H is a diffeomorphism, then
is totally geodesic, and
is geodesic joining
and
. Then
□
Theorem 7. Assume that is a geodesic -convex function, and φ bounded from above on , with an upper bound k. Then h is continuous on .
Proof. Assume that
, then there exists an open ball
for some
. Let us choose
s, where
, such that the closed ball
for some arbitrary small
. Choose any
. Put
and
. Then it is obvious that
and
. Thus,
Then, the above inequality can be written as
where
.
Then
and since
is arbitrary, then
h is continuous on
. □
Definition 11. A bifunction , is called sequentially upper bounded with respect to E iffor any two bounded real sequences . Remark 3. If E is an identity mapping in Definition 11, then a bifunction is called sequentially upper bounded [32]. Proposition 2. Suppose that is a geodesic E-convex set, and are a non-empty family of geodesic -convex functions on B, where is sequentially upper bounded with respect to E. If exist for each , then are also geodesic -convex functions.
Proof. Let
, then
This implies that h is a geodesic -convex function. □
Theorem 8. The function is geodesic -convex, where C is a geodesic E-convex set. The inequality is necessary for h to have a local minimum at .
Proof. Due to the fact that
C is a geodesic E-convex set and
, then
for some
. Let
, then
Since
h attains its local minimum at
, then
where
such that
for all
.
Also,
then from (
14) and (
15), we obtain
, for all
. □
Theorem 9. The function is geodesic -convex, where B is a geodesic E-convex set and φ is bounded from above on , with an upper bound K, with respect to E. Then h is continuous on .
Proof. Assume that and , is a chart containing . Since is a diffeomorphism, and by using Theorems 6 and 7, we get as also geodesic -convex and then it is continuous. Hence, is continuous.
Also, since is arbitrary, then h is continuous on . □
From the definition of geodesic -convex, we obtain the following proposition.
Proposition 3. Assume that is a collection of bifunctions, such that is a geodesic -convex function for each i. If as , then h is also a geodesic -convex function.
As a special case in the above proposition, we have the following proposition.
Proposition 4. Assume that is a collection of bifunctions, such that is a geodesic -convex function, where . If converges to , then h is also a geodesic -convex function.
Theorem 10. Consider to be strictly geodesic -convex, where B is a geodesic E-convex set, φ is an antisymmetric function with respect to E and stands for the derivative of γ with respect t. Thenfor all and . Proof. Since
, then
By contradiction, let
but if
h is a geodesic
-convex function, then
Moreover, since
is an antisymmetry function, then (
17) becomes
hence,
From (
16) and (
18), we obtain a contradiction, then
□
5. -Epigraphs
In this section, -epigraphs are introduced on complete Riemannian manifolds, and a characterization of geodesic -convex functions in terms of their -epigraphs is obtained.
Definition 12. A set is called a geodesic -convex set iffor all Therefore, a
- epigraph of function
h is defined by
Theorem 11. Consider to be a geodesic E-convex set, and φ is non-decreasing. The set is geodesic -convex, if and only if is a geodesic -convex function.
Proof. Let
and
, and since
B is an
E-convex set, then
. Hence,
Due to the fact that
is a geodesic
-convex set, then
This implies that . Consequently, h is a geodesic -convex function.
Now, let us consider that
, then
, which means that there are
such that
and
. Hence,
and, since
h is a geodesic
-convex function, then
which implies that
, for all
.
That is, is a geodesic -convex set. □
Theorem 12. Consider to be a family of geodesic -convex sets, then is also a geodesic -convex set.
Proof. Let
, then
, for all
. Hence,
Then,
for all
This implies is a geodesic -convex function. □
By using the above theorem, we can obtain the following corollary
Corollary 1. Let be a family of geodesic -convex functions defined on a geodesic E-convex set , which is bounded above, and φ is non-decreasing. If the E-epigraphs are geodesic -convex sets, then is also a geodesic -convex function on B.