0000000000126215

AUTHOR

Felix Sadyrbaev

0000-0001-5074-804x

showing 24 related works from this author

Multiplicity results for fourth order two-point boundary value problems with asymmetric nonlinearities

1998

Point boundaryFourth orderApplied MathematicsMultiplicity resultsConjugate pointsMathematical analysisMultiplicity (mathematics)AnalysisMathematicsNonlinear Analysis: Theory, Methods & Applications
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Attraction in n ‐dimensional differential systems from network regulation theory

2018

0301 basic medicineDynamical systems theoryN dimensionalGeneral MathematicsGeneral Engineering02 engineering and technologyDifferential systemsAttraction03 medical and health sciences020210 optoelectronics & photonics030104 developmental biologyAttractor0202 electrical engineering electronic engineering information engineeringStatistical physicsMathematicsMathematical Methods in the Applied Sciences
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Characteristic numbers of non‐autonomous emden‐fowler type equations

2006

We consider the Emden‐Fowler equation x” = ‐q(t)|x|2εx, ε > 0, in the interval [a,b]. The coefficient q(t) is a positive valued continuous function. The Nehari characteristic number An associated with the Emden‐Fowler equation coincides with a minimal value of the functional [] over all solutions of the boundary value problem x” = ‐q(t)|x|2εx, x(a) = x(b) = 0, x(t) has exactly (n ‐ 1) zeros in (a, b). The respective solution is called the Nehari solution. We construct an example which shows that the Nehari extremal problem may have more than one solution. First Published Online: 14 Oct 2010

Pure mathematicsContinuous function (set theory)Mathematical analysisNehari's solutionsValue (computer science)Interval (mathematics)-Type (model theory)Emden‐Fowler equationModeling and SimulationQA1-939Boundary value problemAnalysisCharacteristic numberMathematicsMathematicscharacteristic numbersMathematical Modelling and Analysis
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On modelling of artificial networks arising in applications

2020

Computer scienceDistributed computingArtificial networks19th International Scientific Conference Engineering for Rural Development Proceedings
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On attracting sets in artificial networks: cross activation

2018

Mathematical models of artificial networks can be formulated in terms of dynamical systems describing the behaviour of a network over time. The interrelation between nodes (elements) of a network is encoded in the regulatory matrix. We consider a system of ordinary differential equations that describes in particular also genomic regulatory networks (GRN) and contains a sigmoidal function. The results are presented on attractors of such systems for a particular case of cross activation. The regulatory matrix is then of particular form consisting of unit entries everywhere except the main diagonal. We show that such a system can have not more than three critical points. At least n–1 eigenvalu…

Matrix (mathematics)lcsh:T58.5-58.64Mathematical modelDynamical systems theorylcsh:Information technologyComputer scienceQuantitative Biology::Molecular NetworksOrdinary differential equationAttractorSigmoid functionTopologyMain diagonalEigenvalues and eigenvectorsITM Web of Conferences
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On a Planar Dynamical System Arising in the Network Control Theory

2016

We study the structure of attractors in the two-dimensional dynamical system that appears in the network control theory. We provide description of the attracting set and follow changes this set suffers under the changes of positive parameters µ and Θ.

0301 basic medicineDynamical systems theoryPhase portraitattractor selection020206 networking & telecommunicationsphase portraits02 engineering and technologyDynamical systemnetworks controldynamical systemLinear dynamical system03 medical and health sciences030104 developmental biologyProjected dynamical systemControl theoryModeling and SimulationAttractor0202 electrical engineering electronic engineering information engineeringQA1-939Statistical physicsLimit setRandom dynamical systemAnalysisMathematicsMathematicsMathematical Modelling and Analysis
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Types and Multiplicity of Solutions to Sturm–Liouville Boundary Value Problem

2015

We consider the second-order nonlinear boundary value problems (BVPs) with Sturm–Liouville boundary conditions. We define types of solutions and show that if there exist solutions of different types then there exist intermediate solutions also.

Mathematical analysisMultiplicity (mathematics)Sturm–Liouville theoryMixed boundary conditionMathematics::Spectral Theorymultiplicity of solutionsModeling and SimulationQA1-939Nonlinear boundary value problemBoundary value problemnonlinear boundary value problemSturm–Liouville problemMathematicsAnalysisMathematicsMathematical Modelling and Analysis
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Dirichlet Boundary Value Problem for the Second Order Asymptotically Linear System

2016

We consider the second order system x′′=f(x) with the Dirichlet boundary conditions x(0)=0=x(1), where the vector field f∈C1(Rn,Rn) is asymptotically linear and f(0)=0. We provide the existence and multiplicity results using the vector field rotation theory.

Article SubjectDirichlet conditionslcsh:MathematicsApplied Mathematics010102 general mathematicsMathematical analysisMixed boundary conditionDirichlet's energylcsh:QA1-93901 natural sciences010101 applied mathematicssymbols.namesakeDirichlet eigenvalueGeneralized Dirichlet distributionDirichlet's principleDirichlet boundary conditionsymbolsBoundary value problem0101 mathematicsAnalysisMathematicsInternational Journal of Differential Equations
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Mathematical Modelling of Leukemia Treatment

2021

Leukemia is a cancer that can be treated in a variety of ways: chemotherapy, radiation therapy and stem cell transplant. Recovery rates for this disease are relatively high, the treatment itself has a painful effect on the body and is accompanied by numerous side effects that can persist years after the patient is cured. For this reason, efforts are underway worldwide to develop more selective therapies that will only affect leukemia cells and not healthy cells. Knowledge of developmental GRN is yet scarce, and it is early for a systematic comparative effort. We consider mathematical model of genetic regulatory networks. This model consists of a nonlinear system of ordinary differential equ…

Oncologymedicine.medical_specialtyLeukemiaGeneral Computer ScienceComputer scienceInternal medicinemedicinemedicine.diseaseResearch dataWSEAS TRANSACTIONS ON COMPUTERS
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Multiplicity of Solutions for Second Order Two-Point Boundary Value Problems with Asymptotically Asymmetric Nonlinearities at Resonance

2007

Abstract Estimations of the number of solutions are given for various resonant cases of the boundary value problem 𝑥″ + 𝑔(𝑡, 𝑥) = 𝑓(𝑡, 𝑥, 𝑥′), 𝑥(𝑎) cos α – 𝑥′(𝑎) sin α = 0, 𝑥(𝑏) cos β – 𝑥′(𝑏) sin β = 0, where 𝑔(𝑡, 𝑥) is an asymptotically linear nonlinearity, and 𝑓 is a sublinear one. We assume that there exists at least one solution to the BVP.

Asymptotically linearNonlinear systemPoint boundarySublinear functionGeneral MathematicsMathematical analysisMultiplicity (mathematics)Angular functionBoundary value problemMixed boundary conditionMathematicsgmj
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Attracting sets in network regulatory theory

2016

Modern telecommunication networks are very complex and they should be able to deal with rapid and unpredictable changes in traffic flows. Virtual Network Topology is used to carry IP traffic over Wavelength-division multiplexing optical network. To use network resources in the most optimal way, there is a need for an algorithm, which will dynamically re-share resources among all devices in the particular network segment, based on links utilization between routers. Attractor selection mechanism could be used to dynamically control such Virtual Network Topology. The advantage of this algorithm is that it can adopt to very rapid, unknown and unpredictable changes in traffic flows. This mechani…

Intelligent computer networkDynamic network analysisbusiness.industryComputer scienceDistributed computingNetwork segmentbusinessNetwork topologyTraffic generation modelNetwork traffic controlNetwork simulationComputer networkNetwork formation2016 Advances in Wireless and Optical Communications (RTUWO)
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On a three-dimensional neural network model

2022

The dynamics of a model of neural networks is studied. It is shown that the dynamical model of a three-dimensional neural network can have several attractors. These attractors can be in the form of stable equilibria and stable limit cycles. In particular, the model in question can have two three-dimensional limit cycles.

Materials Science (miscellaneous)Business and International ManagementIndustrial and Manufacturing EngineeringVibroengineering PROCEDIA
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Two-Dimensional Differential Systems with Asymmetric Principal Part

2013

We consider the Sturm–Liouville nonlinear boundary value problem $$\displaystyle\begin{array}{rcl} \left \{\begin{array}{l} x^{\prime} = f(t,y) + u(t,x,y),\\ y^{\prime} = -g(t, x) + v(t, x, y), \end{array} \right.& & {}\\ \begin{array}{l} x(0)\cos \alpha - y(0)\sin \alpha = 0,\\ x(1)\cos \beta - y(1)\sin \beta = 0, \end{array} & & {}\\ \end{array}$$ assuming that the limits \(\lim _{y\rightarrow \pm \infty }\frac{f(t,y)} {y} = f_{\pm }\), \(\lim _{x\rightarrow \pm \infty }\frac{g(t,x)} {x} = g_{\pm }\) exist. Nonlinearities u and v are bounded. The system includes various cases of asymmetric equations (such as the Fucik one). Two classes of multiplicity results are discussed. The first one …

PhysicsCombinatoricsMultiplicity resultsPrincipal partNonlinear boundary value problemDifferential systems
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Networks Describing Dynamical Systems

2018

Abstract We consider systems of ordinary differential equations that arise in the theory of gene regulatory networks. These systems can be of arbitrary size but of definite structure that depends on the choice of regulatory matrices. Attractors play the decisive role in behaviour of elements of such systems. We study the structure of simple attractors that consist of a number of critical points for several choices of regulatory matrices.

0303 health sciences03 medical and health sciencesDynamical systems theoryQuantitative Biology::Molecular NetworksGeneral Mathematics010102 general mathematicsStatistical physics0101 mathematics01 natural sciences030304 developmental biologyMathematicsTatra Mountains Mathematical Publications
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Qualitative Analysis of Differential, Difference Equations, and Dynamic Equations on Time Scales

2015

and Applied Analysis 3 thank Guest Editors Josef Dibĺik, Alexander Domoshnitsky, Yuriy V. Rogovchenko, Felix Sadyrbaev, and Qi-Ru Wang for their unfailing support with editorial work that ensured timely preparation of this special edition. Tongxing Li Josef Dibĺik Alexander Domoshnitsky Yuriy V. Rogovchenko Felix Sadyrbaev Qi-Ru Wang

Article SubjectDifferential equationlcsh:MathematicsApplied MathematicsFinite difference methodlcsh:QA1-939Stochastic partial differential equationNonlinear systemMultigrid methodKolmogorov equations (Markov jump process)Simultaneous equationsApplied mathematicsAnalysisNumerical partial differential equationsMathematicsAbstract and Applied Analysis
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Multiplicity of solutions for two-point boundary value problems with asymptotically asymmetric nonlinearities

1996

Applied MathematicsMathematical analysisMixed boundary conditionSingular boundary methodBoundary knot methodRobin boundary conditionsymbols.namesakeDirichlet boundary conditionFree boundary problemNeumann boundary conditionsymbolsBoundary value problemAnalysisMathematicsNonlinear Analysis: Theory, Methods & Applications
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On Different Type Solutions of Boundary Value Problems

2016

We consider boundary value problems of the type x'' = f(t, x, x'), (∗) x(a) = A, x(b) = B. A solution ξ(t) of the above BVP is said to be of type i if a solution y(t) of the respective equation of variations y'' = fx(t, ξ(t), ξ' (t))y + fx' (t, ξ(t), ξ' (t))y' , y(a) = 0, y' (a) = 1, has exactly i zeros in the interval (a, b) and y(b) 6= 0. Suppose there exist two solutions x1(t) and x2(t) of the BVP. We study properties of the set S of all solutions x(t) of the equation (∗) such that x(a) = A, x'1(a) ≤ x' (a) ≤ x'2(a) provided that solutions extend to the interval [a, b].

Discrete mathematicsmultiple solutionsexistence010103 numerical & computational mathematicsType (model theory)01 natural sciences010101 applied mathematicsSet (abstract data type)Modeling and Simulationboundary value problemQA1-939Interval (graph theory)Boundary value problem0101 mathematicsAnalysisMathematicsMathematicsMathematical Modelling and Analysis
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Planar systems with critical points: multiple solutions of two-point nonlinear boundary value problems

2005

Abstract Two-point boundary value problems for the second-order ordinary nonlinear differential equations are considered. First, we consider the planar systems equivalent to equation x ″ = f ( x ) , where f ( x ) has multiple zeros and the respective system has centers and saddle points in various combinations. Estimations of the number of solutions are given. Then results are extended to nonautonomous equations which have superlinear behavior at infinity.

Equilibrium pointApplied Mathematicsmedia_common.quotation_subjectMathematical analysisMixed boundary conditionInfinityPlanarSaddle pointFree boundary problemPoint (geometry)Boundary value problemAnalysisMathematicsmedia_commonNonlinear Analysis: Theory, Methods & Applications
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On a differential system arising in the network control theory

2016

We investigate the three-dimensional dynamical system occurring in the network regulatory systems theory for specific choices of regulatory matrix { { 0, 1, 1 } { 1, 0, 1 } { 1, 1, 0 } } and sigmoidal regulatory function f(z) = 1 / (1 + e-μz), where z = ∑ Wij xj - θ. The description of attracting sets is provided. The attracting sets consist of respectively one, two or three critical points. This depends on whether the parameters (μ,θ) belong to a set Ω or to the complement of Ω or to the boundary of Ω, where Ω is fully defined set.

PhysicsNetwork controlPure mathematicsnetwork controlPhase portraitattracting setsApplied Mathematics010102 general mathematicslcsh:QA299.6-433Boundary (topology)phase portraitlcsh:Analysis02 engineering and technology01 natural sciencesdynamical systemSet (abstract data type)Matrix (mathematics)Systems theory0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0101 mathematicsDynamical system (definition)AnalysisComplement (set theory)Nonlinear Analysis: Modelling and Control
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Multiple period annuli in Liénard type equations

2010

Abstract We consider the equation x ″ x 1 − x 2 x ′ 2 + g ( x ) = 0 , where g ( x ) is a polynomial. We provide the conditions for existence of multiple period annuli enclosing several critical points.

Liénard equationPhase portraitApplied MathematicsMathematical analysisCritical point (mathematics)MathematicsApplied Mathematics Letters
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Types of solutions and multiplicity results for two-point nonlinear boundary value problems

2005

Abstract Two-point boundary value problems for the second-order ordinary nonlinear differential equations are considered. If the respective nonlinear equation can be reduced to a quasi-linear one with a non-resonant linear part and both equations are equivalent in some domain D , and if solutions of the quasi-linear problem lie in D , then the original problem has a solution. We then say that the original problem allows for quasilinearization. We show that a quasi-linear problem has a solution of definite type which corresponds to the type of the linear part. If quasilinearization is possible for essentially different linear parts, then the original problem has multiple solutions.

Nonlinear systemApplied MathematicsMathematical analysisFree boundary problemPoint (geometry)Mixed boundary conditionBoundary value problemType (model theory)AnalysisElliptic boundary value problemDomain (mathematical analysis)MathematicsNonlinear Analysis: Theory, Methods & Applications
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Remarks on GRN-type systems

2020

Systems of ordinary differential equations that appear in gene regulatory networks theory are considered. We are focused on asymptotical behavior of solutions. There are stable critical points as well as attractive periodic solutions in two-dimensional and three-dimensional systems. Instead of considering multiple parameters (10 in a two-dimensional system) we focus on typical behaviors of nullclines. Conclusions about possible attractors are made.

0301 basic medicineComputer sciencelcsh:RGeneral EngineeringGene regulatory networkattractorslcsh:MedicineType (model theory)Nullcline03 medical and health sciences030104 developmental biology0302 clinical medicineordinary differential equations030220 oncology & carcinogenesisOrdinary differential equationAttractorgenetic regulatory networksApplied mathematicslcsh:Qlcsh:ScienceFocus (optics)4open
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Dynamical Models of Interrelation in a Class of Artificial Networks

2020

The system of ordinary differential equations that models a type of artificial networks is considered. The system consists of a sigmoidal function that depends on linear combinations of the arguments minus the linear part. The linear combinations of the arguments are described by the regulatory matrix W. For the three-dimensional cases, several types of matrices W are considered and the behavior of solutions of the system is analyzed. The attractive sets are constructed for most cases. The illustrative examples are provided. The list of references consists of 12 items.

Class (set theory)Matrix (mathematics)Dynamical systems theoryOrdinary differential equationAttractorGene regulatory networkApplied mathematicsSigmoid functionLinear combinationMathematics
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Oscillatory Solutions of Boundary Value Problems

2016

We consider boundary value problems of the form $$\displaystyle\begin{array}{rcl} & x'' = f(t,x,x'), & {}\\ & x(a) = A,\quad x(b) = B,& {}\\ \end{array}$$ assuming that f is continuous together with f x and fx′. We study also equations in a quasi-linear form $$\displaystyle{x'' + p(t)x' + q(t)x = F(t,x,x').}$$ Introducing types of solutions of boundary value problems as an oscillatory type of the respective equation of variations, we show that for a solution of definite type, the problem can be reformulated in a quasi-linear form. Resonant problems are considered separately. Any resonant problem that has no solutions of indefinite type is in fact nonresonant. The ways of how to detect solut…

PhysicsPure mathematicsBoundary value problemType (model theory)Dynamical system (definition)
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