Abstract
In this manuscript, we define the -invex set, -invex functions, and -preinvex functions on Euclidean space, i.e., simply vector space. We extend these concepts on the Riemannian manifold. We also detail the fundamental properties of -preinvex functions and provide some examples that illustrate the concepts well. We have established a relation between -invex and -preinvex functions on Riemannian manifolds. We introduce the conditions and define the -proximal sub-gradient. -preinvex functions are also used to demonstrate their applicability in optimization problems. In the last, we establish the points of extrema of a non-smooth -preinvex functions on -invex subset of the Riemannian manifolds by using the -proximal sub-gradient.
MSC:
52A20; 52A41; 53C20; 53C22
1. Introduction
One of the most crucial aspects of mathematical programming is the search for convexity and generalized convexity because these concepts play a vital role in optimization theory. Several notable generalizations of convexity have been made over the recent few decades (see [1,2,3,4,5,6,7,8]). Youness provided the concept of E-convex sets and E-convex functions. He also explored the E-convex programming problems in his paper [9]. Yang and Chen found some results to be incorrect in the paper written by [9]. Then, they modified those results (see [10,11]). Jian [12] came up with the concept of -convex sets and functions with exciting applications regarding generalizations.
Recently, Wedad Saleh explored the concept of -convex sets and functions on the Riemannian manifold and developed some fruitful results in his paper [13].
One can find the clear idea and development of the geodesic theory of convexity in the books authored by Udriste [14] and Rapcsák [15]. And, for more details on E-convex sets and functions, we refer [13,16], from where the idea of -convex sets and functions was mainly generated. Convexity and its generalizations on the Riemannian manifolds have received more attention from researchers during the recent few decades, and a vast amount of literature has been developed on the subject (see [17,18,19,20,21,22,23,24,25,26]).
Motivated by the above works and results, particularly in [12,13], we provide the definitions of -invex sets, -invex functions and -preinvex functions. We explore this concept on Riemannian manifolds, which is the generalization of -convexity sets and functions. We establish a relation between -invex and -preinvex functions on Riemannian manifolds. We introduce the conditions and define the -proximal sub-gradient. To explore and demonstrate its applicability on problems of optimization, -preinvexity is applied. In the last section of the present paper, we have obtained extremum points for a non-smooth -preinvex function defined on the -invex subset of the Riemannian manifold, which became possible due to use of the -proximal sub-gradient.
2. Preliminaries
Definition 1
([13]). Let be a non-empty subset of , and let be two maps. If and , , then is known as an -convex set.
In this section, we recall some well-known definitions on Riemannian manifolds.
Let be a smooth Riemannian manifold (), which means that , the metric on the tangent space of manifold , induces a norm . If z and w are two points on and is a piecewise smooth curve connecting to , its length is given by
Now, we define
for any . The original topology on is then induced by a distance d. A Levi-Civita connection, denoted by , for any vector fields also known as a covariant derivative, is known to exist uniquely on every Riemannian manifold. We also recall that a geodesic is a smooth path β whose tangent is parallel along the path β, i.e., β satisfies the equation . Any path β connecting z and w in , such that , is a geodesic, and it is called a minimizing geodesic. Recall that for a given curve , a point , and a vector , there exists exactly one parallel vector field along s.t. . Moreover, the mapping defined by is a linear isometry between the tangent spaces and , for each . We denote this mapping by and we call it the parallel translation from to along the curve β. A simply connected complete Riemannian manifold with non-positive sectional curvature is called a Hadamard manifold.
3. -Invex Sets and -Preinvex Functions
Definition 2.
Let be functions, defined on non-empty subset of , and let be another function. If and , , then is known as an -invex set.
Example 1.
Let be a non-empty subset of , and let be two maps defined as
and let be a bi-function defined as .
Now, for and , we have .
Then, it is obvious that the set is not a -convex set with respect to the maps E and F. Now,
It is clear that and . Thus, we have . Hence, the set is an -invex set.
Remark 1.
If we take in the Definition (2), then the set becomes an E-invex set.
Remark 2.
If we take in the Definition (2), then the set becomes an -convex set.
Remark 3.
If we take the identity map in the Definition (2), then the set becomes an invex set.
Remark 4.
If we take E and F to be the identity maps on and in the Definition (2), then the set becomes a convex set.
Definition 3.
A real-valued function defined on the -invex set is known as an -preinvex function if
holds for and .
Theorem 1.
Let be a non-empty -invex subset of . Let functions be -preinvex functions on the -invex set and . Then, is also an -preinvex function on the -invex set .
Definition 4.
Let be a real-valued differentiable function on the open interval of . The function is known as an -invex on A if there we have the maps and a bi-function such that the inequality
holds for each and .
Now, we will explore all the above definitions in Riemannian manifolds.
4. Geodesic -Invex Sets and -Preinvex Functions on Riemannian Manifolds
Definition 5.
Let be a non-empty subset of the Riemannian manifold , and let be functions such that for every . Then, the subset of is said to be geodesic -invex if, for each , there exists exactly one geodesic such that
Now, we define the -invex function on an open geodesic -invex subset of a Riemannian manifold.
Definition 6.
Let be a non-empty open subset of the Riemannian manifold , with Riemannian metric g and being a geodesic invex set. A function is said to be -invex on if the following inequality holds:
Definition 7.
Let be a non-empty geodesic -invex subset of the Riemannian manifold . A function is said to be -preinvex if, for each and ,
holds, where is the unique geodesic in Definition 5. If the above inequality (3) is strict for and , then is said to be a strict -preinvex function.
Example 2.
Let be a non-empty subset of , and let be two maps defined as
and let , a point-to-point bi-function, be defined as
Now, consider the geodesic β as
It can be easily seen that
So, is a geodesic -invex set. Now, we define a function as . Then, is an -preinvex function on the set .
Proposition 1.
Let be a non-empty geodesic -invex subset of the Riemannian manifold . Consider the function , an -preinvex. Thus, we have
(a) Every lower level set of defined by
is a geodesic -invex set.
(b) An optimization problem is presented as follows:
where the set L of the solution of the problem (4) is a geodesic -invex set. Also, if is strictly an -preinvex function, then contains (at most) one point.
Proof.
Take . Then, we have . As is a geodesic -invex set, there exists exactly one geodesic such that
Since is -preinvex, then, by definition, we have
Hence, for any .
(b) If we take , then it is clear that . Therefore, L is an intersection of a geodesic -invex set. Hence, it is a geodesic -invex set as well.
Now, if is strictly an -preinvex function, then, for the geodesic -invexity of L, there exists exactly one geodesic such that
By the strictly -preinvexity of , we have
which is not possible. □
Theorem 2.
Let be a non-empty open geodesic -invex subset of the Riemannian manifold . Consider that is a differentiable and -preinvex function. Then, is an -invex function.
Proof.
Since is a geodesic -invex set of the Riemannian manifold, there exists exactly one geodesic for every , such that
Now, as is the -preinvex for , we obtain
This may also be written as
we divide both sides by s, and we obtain
Taking the limit as , we have
Therefore,
Hence, is an -invex function. □
Definition 8.
Let the functions be defined on a Riemannian manifold . Then, we say that the function satisfies the condition , if, for every and for the geodesic satisfying , we have
for all .
Theorem 3.
Let be a non-empty open geodesic -invex subset of the Riemannian manifold . Suppose that the function is differentiable. If is an -invex on and satisfies the condition , then is an -preinvex function on .
Proof.
Since is a geodesic -invex set of the Riemannian manifold, then, for every , there exists exactly one geodesic such that
Now, fix and set . Then, we have
Multiplying Inequality (5) by s and Inequality (6) by , respectively, and then carrying out addition, will lead to
From Condition , we obtain
Therefore, we obtain
Hence, is an -preinvex function on the -invex set . □
Theorem 4.
Let be a non-empty open geodesic -invex subset of the Riemannian manifold . Suppose that the function is an -preinvex. If is a local optimal solution to the problem
then is a global minimum in Problem .
Proof.
Consider a local minimum . Then, there exists a neighborhood such that
Conversely, we assume that is not a global minimum of . Then, there exists an element s.t.
As is a geodesic -invex set, there exists exactly one geodesic such that
Now, if we choose to be small enough s.t. , then . As represents -preinvexity, we have
Therefore, for each , which is a contradiction to Inequality (8), our result is proved. □
Definition 9.
Let the functions be defined on Riemannian manifold , and let function be a lower semi-continuous function. An element σ in is an -proximal sub-gradient of at , if ∃ the numbers and s.t.
, and where . The set of all -proximal sub-gradients of at is denoted by and is called the -proximal sub-differential of at .
Theorem 5.
Let be a non-empty open geodesic -invex subset of the Cartan–Hadamard manifold with for . Also, let be a lower semi-continuous -preinvex function. Assume the domain to be and . Then, there exists a real number μ s.t.
Proof.
Using the definition of the -proximal sub-gradient , the numbers and exist s.t.
, specifically for . As is a geodesic -invex set, there exists exactly one geodesic such that
As is a Cartan–Hadamard manifold, for any (see [24] p. 776). Now, take . Therefore, .
Author Contributions
The authors contributed almost equally to this work. Moreover, Conceptualization, by E.A., M.B. and M.A.; methodology by E.A. and M.A.; software by E.A. and M.A.; validation by E.A. and M.B.; formal analysis, M.B. and M.A.; investigation by E.A. and M.A.; resources, M.B.; data curation, by E.A., M.B. and M.A.; writing-original draft preparation by E.A., M.B. and M.A.; writing—review and editing by E.A. and M.A.; visualization, by E.A. and M.B.; supervision by M.A.; project administration by M.B. and M.A.; funding acquisition by M.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research work was funded by Umm Al-Qura University, Saudi Arabia, under grant number 25UQU4330007GSSR03.
Data Availability Statement
Observational data used in this paper were quoted from the cited works.
Acknowledgments
The authors extend their appreciation to Umm Al-Qura University, Saudi Arabia, for funding this research work through grant number 25UQU4330007GSSR03.
Conflicts of Interest
The authors declare no conflicts of interest.
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