ticma2022 – Page 2 – SUE Conferences

Archive by Category "ticma2022"

Hopf Bifurcation Analysis of A Chaotic System

1, a) Rizgar H. Salih and Bashdar M. Mohammed 2, b)

1,2 Department of Mathematics, College of Basic Education,

University of Raparin, Raniyah, Kurdistan Region – Iraq.

a)rizgar.salih@uor.edu.krd

b)bashdar.mahmoodmuhamad@uor.edu.krd

DOI: https://doi.org/10.31972/ticma22.11

Abstract

This paper is devoted to studying the stability of the unique equilibrium point and the occurrence of the Hopf bifurcation as well as limit cycles of a three-dimensional chaotic system. We characterize the parameters for which a Hopf equilibrium point takes place at the equilibrium point. In addition, the system has only one equilibrium point which is E_0=(0,0,0). It was proved that E_0 is asymptotically stable and unstable when α<(-13)/7 and α>(-13)/7, respectively. Moreover, for studying the cyclicity of the system, two techniques are used which are dynamics on the center manifold and Liapunov quantities. It was shown that at most two limit cycles can be bifurcated from the origin. All the results presented in this paper have been verified by a program via Maple software.

Key Words: Chaotic System, Hopf Bifurcation Analysis, equilibrium point.

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ω_p-Open and ω_p-Closed Functions

Halgwrd Mohammed Darwesh1, a And Shagull Hossein Mahmood2, b

1,2 Department of Mathematics, College of Science, University of Sulaimani,

46001 Sulaimani, Kurdistan Region, Iraq

a) halgwrd.darwesh@univsul.edu.iq
b) shagull.mahmmod@univsul.edu.iq

DOI: https://doi.org/10.31972/ticma22.12

Abstract

In this 𝑤𝑜𝑟𝑘, we study and define two new concepts of functions named  and  functions by using the concepts of  and ϲ𝑙𝑜𝑠𝑒𝑑 sets. The concept of  function strictly located between both the concepts of  and  functions. We obtain a few properties of these functions, however, the connections between them are examined.

Key Words: ω_p-ϲlosed set, ω_p-open set, ω_p-continuous function, ω_p-closed function,ω_p-open function.

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Studying Some Stochastic Differential Equations with trigonometric terms with Application

Abdulghafoor Jasim. Salim1 Ali A. Asmael2

1,2Department of Mathematics, college of computer science and Mathematics, University of Mosul.

1,drabdul_salim@uomosul.edu.iq 

2ali.20csp132@student.uomosul.edu.iq

DOI: https://doi.org/10.31972/ticma22.13

Abstract

In this paper we look at several (trigonometric) stochastic differential equations , we find the general form for such nonlinear stochastic differential equation by using the I’to formula. Then we  find the exact solution for the different trigonometric stochastic differential equations by the use of stochastic integrals. Ilustrate the approach with various examples. (precise solution using the Ito integral formula) and approximate solution (numerical approximation (the Euler-Maruyama technique and the Milstein method) were compared to the exact solutions with the error of those approaches.

Key Words: Coding Theory, Projective Space, finite field.

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New Applications of Coding Theory in The Projective Space of Order Three

Hajir Hayder Abdullah1,a) and Nada Yassen Kasm Yahya2,b)

1Department of Mathematics, College of Education for Pure Science, University of Mosul, Mosul, Iraq

2Department of Mathematics, College of Education for Pure Science, University of Mosul, Mosul, Iraq

a) 20esp13@student.uomosul.edu.iq

b) drnadaqasim1@gmail.com, drnadaqasim3@uomosul.edu.iq

DOI: https://doi.org/10.31972/ticma22.14

Abstract

The main aim of this paper is to introduce the relationship between the topic of coding theory and the projective space in field three and test the code. The maximum value of size of code over finite field of order three and an incidence matrix with the parameters, n (length of code), d (minimum distance of code) and e (error-correcting of code) have been constructed. With a theorem and a result that test the code if it is perfect or not.

Key Words: Coding Theory, Projective Space, finite field.

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A New Transformation Technique to Solve Multi-Objective Linear Programming Problems

Zhian M. Mahmood1,a) and Nejmaddin A.Sulaiman1,b)
1Department of Mathematics, College of Education, Salahaddin University, Erbil, 44001, Iraq

a) m.mahmood@su.edu.krd
b) nejmaddin.sulaiman@su.edu.krd

DOI: https://doi.org/10.31972/ticma22.15

Abstract

In this paper Standard Error of Mean (SEM), as a new technique, is used for transforming multi-objective linear programming problems (MOLPPs) to the single objective linear programming problems (SOLPPs). To this end, an algorithm has been proposed and suggested to solve MOLPPs, which have been tested through numerical examples by employing Excel Solver. However, the study compares the results of other techniques like (Chandra Sen, Optimal Average of Minimax and Maximin, New Arithmetic Average, New Geometric Average, New Harmonic Average, and Advanced Transformation) with the results of this new technique SEM. The numerical results indicate that a new technique in general is promising.

Key Words: Multi-Objective Linear Programming, Geometric Average, Harmonic Average.

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Combinations of -Complex Fuzzy -Norms and -Conorms

Pishtiwan O. Sabir1, a) and Aram N. Qadir2, b)

1) Department of Mathematics, College of Science, University of Sulaimani, Sulaymaniyah 46001, Iraq.

2) Department of Mathematics, College of Education, University of Garmian, Kalar 46021, Iraq.

a) pishtiwan.sabir@univsul.edu.iq

b) aram.nory89@gmail.com

DOI: https://doi.org/10.31972/ticma22.16

Abstract

This paper investigates the study of -complex fuzzy sets. The -complex fuzzy set, where is a completely distributive lattice, is a generalization of the complex fuzzy set. The fundamental set theoretic operations on -complex fuzzy sets are discussed properly, including -complex fuzzy complement, union and intersection. New procedures are presented to combine the novel concepts of -complex fuzzy -norms and -conorms and look into the conditions that lead to a comparable representation theorem. We have used the axiomatic method, in the sense that our underlying assumptions, especially about, are abstract; it can thus be ascertained to what extent our results apply to some new problem. On the other hand, our method shows that if mathematics, as we use it, is consistent, so is fuzziness, as we formulate it.

Key Words: : Fuzzy set; Complex fuzzy set; -complex fuzzy set; Fuzzy -norm; Fuzzy -conorm.

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