0000000000204846

AUTHOR

Inese Bula

showing 13 related works from this author

Strictly convex metric spaces with round balls and fixed points

2005

Convex hullConvex analysisStrictly convex spaceCombinatoricsInjective metric spaceMathematical analysisConvex setConvex bodyConvex combinationConvex metric spaceMathematicsBanach Center Publications
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Eventually periodic solutions of single neuron model

2020

In this paper, we consider a nonautonomous piecewise linear difference equation that describes a discrete version of a single neuron model with a periodic (period two and period three) internal decay rate. We investigated the periodic behavior of solutions relative to the periodic internal decay rate in our previous papers. Our goal is to prove that this model contains a large quantity of initial conditions that generate eventually periodic solutions. We will show that only periodic solutions and eventually periodic solutions exist in several cases.

Period (periodic table)Differential equationApplied Mathematics010102 general mathematicsMathematical analysisperiodic solutionlcsh:QA299.6-433difference equationBiological neuron modellcsh:Analysis01 natural sciencesneuron model010101 applied mathematicsPiecewise linear functioneventually periodic solution0101 mathematicsAnalysisMathematicsNonlinear Analysis: Modelling and Control
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Periodic Solutions of the Second Order Quadratic Rational Difference Equation $$x_{n+1}=\frac{\alpha }{(1+x_n)x_{n-1}} $$ x n + 1 = α ( 1 + x n ) x n…

2016

The aim of this article is to investigate the periodic nature of solutions of a rational difference equation $$x_{n+1}=\frac{\alpha }{(1+x_n)x_{n-1}}. {(*)} $$ We explore Open Problem 3.3 given in Amleh et al. (Int J Differ Equ 3(1):1–35, 2008, [2]) that requires to determine all periodic solutions of the equation (*). We conclude that for the equation (*) there are no periodic solution with prime period 3 and 4. Period 7 is first period for which exists nonnegative parameter \(\alpha \) and nonnegative initial conditions.

CombinatoricsEquilibrium pointQuadratic equationRational difference equationPeriod (periodic table)Differential equationOpen problemMathematical analysisOrder (ring theory)Prime (order theory)Mathematics
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Periodic orbits of a neuron model with periodic internal decay rate

2015

In this paper we will study a non-autonomous piecewise linear difference equation which describes a discrete version of a single neuron model with a periodic internal decay rate. We will investigate the periodic behavior of solutions relative to the periodic internal decay rate. Furthermore, we will show that only periodic orbits of even periods can exist and show their stability character.

Piecewise linear functionComputational MathematicsCharacter (mathematics)Classical mechanicsDifferential equationApplied MathematicsMathematical analysisPeriodic orbitsPeriodic sequenceBiological neuron modelStability (probability)MathematicsApplied Mathematics and Computation
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Arrow-Hahn economic models with weakened conditions of continuity

2006

EconomicsArrowEconomic modelMathematical economicsGame Theory and Mathematical Economics
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On Uncertain Discontinuous Functions and Quasi-equilibrium in Some Economic Models

2020

In the paper is studied some properties of uncertain discontinuous mappings, the so-called w-discontinuous mappings. Based on them, the existence of a quasi-equilibrium for a new economic model is proved.

Discontinuity (linguistics)Fixed-point theoremApplied mathematicsEconomic modelQuasistatic processMathematics
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On the stability of the Bohl — Brouwer — Schauder Theorem

1996

Discrete mathematicsSchauder fixed point theoremDual spaceApplied MathematicsLocally convex topological vector spaceFixed pointKakutani fixed-point theoremReflexive spaceAnalysisComplete metric spaceTopological vector spaceMathematicsNonlinear Analysis: Theory, Methods & Applications
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Periodic orbits of single neuron models with internal decay rate 0 < β ≤ 1

2013

In this paper we consider a discrete dynamical system x n+1=βx n – g(x n ), n=0,1,..., arising as a discrete-time network of a single neuron, where 0 &lt; β ≤ 1 is an internal decay rate, g is a signal function. A great deal of work has been done when the signal function is a sigmoid function. However, a signal function of McCulloch-Pitts nonlinearity described with a piecewise constant function is also useful in the modelling of neural networks. We investigate a more complicated step signal function (function that is similar to the sigmoid function) and we will prove some results about the periodicity of solutions of the considered difference equation. These results show the complexity of …

Quantitative Biology::Neurons and CognitionMathematical analysisActivation functionSigmoid functionstabilitySingle-valued functiondynamical systemError functionsymbols.namesakefixed pointModeling and SimulationMittag-Leffler functionStep functioniterative processsymbolsPiecewiseQA1-939nonlinear problemConstant functionAnalysisMathematicsMathematicsMathematical Modelling and Analysis
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Periodic and Chaotic Orbits of a Neuron Model

2015

In this paper we study a class of difference equations which describes a discrete version of a single neuron model. We consider a generalization of the original McCulloch-Pitts model that has two thresholds. Periodic orbits are investigated accordingly to the different range of parameters. For some parameters sufficient conditions for periodic orbits of arbitrary periods have been obtained. We conclude that there exist values of parameters such that the function in the model has chaotic orbits. Models with chaotic orbits are not predictable in long-term.

Discrete mathematicsQuantitative Biology::Neurons and CognitionGeneralizationMathematical analysisChaoticBiological neuron modelFunction (mathematics)stabilityDynamical systemStability (probability)dynamical systemModeling and Simulationiterative processRange (statistics)Orbit (dynamics)QA1-939chaotic mappingnonlinear problemAnalysisMathematicsMathematicsMathematical Modelling and Analysis
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Chaotic mappings in symbol space

2018

Discrete mathematicsSymbolComputer sciencemedia_common.quotation_subjectChaoticSpace (mathematics)media_commonData Science and Knowledge Engineering for Sensing Decision Support
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Der Rigaer Deutsch-Baltische Mathematiker Piers Bohl (1865–1921)

1993

Vor kurzem jahrte sich zum 125. Male der Geburtstag und zum 70. Male der Todestag eines der bedeutendsten, vielleicht sogar des bedeutendsten Mathematikers Lettlands, Piers Bohls. Er lebte unter wechselnden politischen Regimen, aber verstand es stets, sich seiner Arbeit zu widmen. Piers Bohl wurde am 23. Oktober 1865 als Spros einer deutschen Kaufmannsfamilie im Stadtchen Walk (an der Grenze Lettlands und Estlands) geboren. Uber seine fruhe Kindheit scheint nichts bekannt zu sein. Ersten Unterricht erhielt er durch Privatlehrer, er besuchte dann die stadtische Elementarschule zu Walk sowie das livlandische ritterschaftliche Landesgymnasium in Fellin, dem heutigen estnischen Wiland. Fast gle…

Cultural StudiesArts and Humanities (miscellaneous)Journal of Baltic Studies
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On the population model with a sine function

2006

In the interval [0,1] function sr(x) = r sin πx behaves similar to logistic function h μ (x) = μx(1‐ x). We prove that for every r &gt; there exists subset ? ⊂ [0,1] such that sr : ? → ? is a chaotic function. Since the logistic function is chaotic in another subset of [0,1] but both functions have similar graphs in [0,1] we conclude that it can lead to errors in practice. First Published Online: 14 Oct 2010

Mathematical analysisChaotic-Function (mathematics)logistic functionchaotic functionCombinatoricssine functionPopulation modelModeling and SimulationQA1-939Interval (graph theory)SineLogistic functionMathematicsAnalysisMathematicsMathematical Modelling and Analysis
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Construction of chaotic dynamical system

2010

The first‐order difference equation xn+ 1 = f(xn ), n = 0,1,…, where f: R → R, is referred as an one‐dimensional discrete dynamical system. If function f is a chaotic mapping, then we talk about chaotic dynamical system. Models with chaotic mappings are not predictable in long‐term. In this paper we consider family of chaotic mappings in symbol space S 2. We use the idea of topological semi‐conjugacy and so we can construct a family of mappings in the unit segment such that it is chaotic. First published online: 09 Jun 2011

Discrete mathematicsPure mathematicsincreasing mappingDifferential equationChaoticinfinite symbol spaceBinary numberFunction (mathematics)Space (mathematics)Nonlinear Sciences::Chaotic Dynamicstopological semi‐conjugacyModeling and SimulationQA1-939Orbit (dynamics)chaotic mappingbinary expansionUnit (ring theory)MathematicsAnalysisMathematicsCoupled map latticeMathematical Modelling and Analysis
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