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Dive into the research topics where Eszter Sikolya is active.

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Featured researches published by Eszter Sikolya.


Applied Mathematics and Optimization | 2007

Variational and Semigroup Methods for Waves and Diffusion in Networks

Marjeta Kramar Fijavz; Delio Mugnolo; Eszter Sikolya

We study diffusion and wave equations in networks. Combining semigroup and variational methods we obtain well-posedness and many nice properties of the solutions in general Lp-context. Following earlier articles of other authors, we discuss how the spectrum of the generator can be connected to the structure of the network. We conclude by describing asymptotic behavior of solutions to the diffusion problem.


Networks and Heterogeneous Media | 2008

Vertex control of flows in networks

Klaus-Jochen Engel; Marjeta Kramar Fijavz; Rainer Nagel; Eszter Sikolya

We study a transport equation in a network and control it in a single vertex. We describe all possible reachable states and prove a criterion of Kalman type for those vertices in which the problem is maximally controllable. The results are then applied to concrete networks to show the complexity of the problem.


Forum Mathematicum | 2007

Asymptotic behavior of flows in networks

Tamas Matrai; Eszter Sikolya

Abstract Using functional analytical and graph theoretical methods, we extend the results of [Kramar M. und Sikolya E.: Spectral properties and asymptotic periodicity of flows in networks. Math. Z. 249 (2005), 139–162] to more general transport processes in networks allowing space dependent velocities and absorption. We characterize asymptotic periodicity and convergence to an equilibrium by conditions on the underlying directed graph and the (average) velocities.


Networks and Heterogeneous Media | 2012

Differential equation approximations of stochastic network processes: an operator semigroup approach

András Bátkai; István Kiss; Eszter Sikolya; Péter L. Simon

The rigorous linking of exact stochastic models to mean-field approximations is studied. Starting from the differential equation point of view the stochastic model is identified by its Kolmogorov equations, which is a system of linear ODEs that depends on the state space size (


Semigroup Forum | 2017

Semigroups of max-plus linear operators

Marjeta Kramar Fijavž; Aljoša Peperko; Eszter Sikolya

N


Open Mathematics | 2012

The norm convergence of a Magnus expansion method

András Bátkai; Eszter Sikolya

) and can be written as


Mathematische Zeitschrift | 2005

Spectral properties and asymptotic periodicity of flows in networks

Marjeta Kramar; Eszter Sikolya

\dot u_N=A_N u_N


Journal of Evolution Equations | 2005

Flows in networks with dynamic ramification nodes

Eszter Sikolya

. Our results rely on the convergence of the transition matrices


Applied Mathematics and Optimization | 2010

Maximal Controllability for Boundary Control Problems

Klaus-Jochen Engel; Marjeta Kramar Fijavž; Bernd Klöss; Rainer Nagel; Eszter Sikolya

A_N


Mathematische Zeitschrift | 2009

Asymptotic periodicity of recurrent flows in infinite networks

Britta Dorn; Vera Keicher; Eszter Sikolya

to an operator

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András Bátkai

Eötvös Loránd University

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Péter L. Simon

Eötvös Loránd University

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Rainer Nagel

University of Tübingen

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Boris Andreianov

University of Franche-Comté

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