Team > Prof. Dr. Péter Koltai

Fakultät für Mathematik, Physik und Informatik

• dynamische Systeme, stochastische Prozesse, Ergodentheorie und ihre Anwendungen
• Prozesse auf und von Netzwerken: Graphentheorie und Modellreduktion
• Zeitreihen: operatortheoretische Analyse, Spektraltheorie
  
• Datenwissenschaft und maschinelles Lernen: datengetriebene Modellierung

Fakultät für Mathematik, Physik und Informatik

Publikationen

2025

Henry Schoeller, Robin Chemnitz, Peter Koltai, Maximilian Engel, Stephan Pfahl: Assessing Lagrangian coherence in atmospheric blocking. In: Nonlinear Processes in Geophysics, 32 (2025). - S. 51-73.
doi:10.5194/npg-32-51-2025

Robert M. Polzin, Ilja Klebanov, Nikolas Nüsken, Peter Koltai: Coherent Set Identification Via Direct Low Rank Maximum Likelihood Estimation. In: Journal of Nonlinear Science, 35 (2025). - .
doi:10.1007/s00332-024-10091-x

Robin Chemnitz, Maximilian Engel, Peter Koltai: Extracting coherent sets in aperiodically driven flows from generators of Mather semigroups. In: Discrete and Continuous Dynamical Systems. Series B, 30 (2025). - S. 1952-1995.
doi:10.3934/dcdsb.2024149

2024

Robin Chemnitz, Maximilian Engel, Peter Koltai: Continuous-time extensions of discrete-time cocycles. In: Proceedings of the American Mathematical Society Series B, 11 (2024). - S. 23-35.
doi:10.1090/bproc/209

Jason Atnip, Gary Froyland, Peter Koltai: An inflated dynamic Laplacian to track the emergence and disappearance of semi-material coherent sets.. - arXiv, 2024. -

Peter Koltai, Philipp Kunde: A Koopman-Takens theorem : Linear least squares prediction of nonlinear time series. In: Communications in Mathematical Physics, 405 (2024). - .
doi:10.1007/s00220-024-05004-8

Marvin Lücke, Stefanie Winkelmann, Jobst Heitzig, Nora Molkenthin, Peter Koltai: Learning interpretable collective variables for spreading processes on networks. In: Physical Review E, 109 (2024). - .
doi:10.1103/PhysRevE.109.L022301

Gary Froyland, Manu Kalia, Peter Koltai: Spectral clustering of time-evolving networks using the inflated dynamic Laplacian for graphs.. - arXiv, 2024. -
doi:10.48550/arXiv.2409.11984

2023

Alvaro de Diego Unanue, Gary Froyland, Oliver Junge, Peter Koltai: A dynamic p-Laplacian.. - arXiv, 2023-08-11. -
doi:10.48550/arXiv.2308.05947

Marvin Lücke, Jobst Heitzig, Peter Koltai, Nora Molkenthin, Stefanie Winkelmann: Large population limits of Markov processes on random networks. In: Stochastic Processes and their Applications, 166 (2023). - .
doi:10.1016/j.spa.2023.09.007

Andreas Bittracher, Mattes Mollenhauer, Peter Koltai, Christof Schütte: Optimal reaction coordinates : Variational characterization and sparse computation. In: Multiscale Modeling & Simulation, 21 (2023). - S. 449-488.
doi:10.1137/21M1448367

Priyanka Maity, Andreas Bittracher, Peter Koltai, Jörg Schumacher: Collective variables between large-scale states in turbulent convection. In: Physical Review Research, 5 (2023). - .
doi:10.1103/PhysRevResearch.5.033061

Gary Froyland, Peter Koltai: Detecting the birth and death of finite-time coherent sets. In: Communications on Pure and Applied Mathematics, (2023). - .
doi:10.1002/cpa.22115

2022

Robert Polzin, Annette Müller, Henning Rust, Peter Névir, Peter Koltai: Direct Bayesian model reduction of smaller scale convective activity conditioned on large-scale dynamics. In: Nonlinear Processes in Geophysics, 29 (2022). - S. 37-52.
doi:10.5194/npg-29-37-2022

Mattes Mollenhauer, Stefan Klus, Christof Schütte, Peter Koltai: Kernel Autocovariance Operators of Stationary Processes : Estimation and Convergence. In: Journal of Machine Learning Research, 23 (2022). - S. 1-34.

Priyanka Maity, Peter Koltai, Jörg Schumacher: Large-scale flow in a cubic Rayleigh-Bénard cell : long-term turbulence statistics and Markovianity of macrostate transitions. In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380 (2022). - .
doi:10.1098/rsta.2021.0042

2021

Niklas Wulkow, Peter Koltai, Vikram Sunkara, Christof Schütte: Data-driven modelling of nonlinear dynamics by barycentric coordinates and memory.. - arXiv, 2021. - 33 S.
doi:10.48550/arXiv.2112.06742

Johannes von Lindheim, Abhishek Harikrishnan, Tom Dörffel, Rupert Klein, Peter Koltai, Natalia Mikula, Annette Müller, Peter Névir, George Pacey, Robert Polzin, Nikki Vercauteren: Definition, detection, and tracking of persistent structures in atmospheric flows.. - arXiv, 2021. - 64 S.
doi:10.48550/arXiv.2111.13645

Andreas Bittracher, Stefan Klus, Boumediene Hamzi, Peter Koltai, Christof Schütte: Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds. In: Journal of Nonlinear Science, 31 (2021). - .
doi:10.1007/s00332-020-09668-z

Niklas Wulkow, Peter Koltai, Christof Schütte: Memory-Based Reduced Modelling and Data-Based Estimation of Opinion Spreading. In: Journal of Nonlinear Science, 31 (2021). - .
doi:10.1007/s00332-020-09673-2

Feliks Nüske, Peter Koltai, Lorenzo Boninsegna, Cecilia Clementi: Spectral Properties of Effective Dynamics from Conditional Expectations. In: Entropy, 23 (2021). - .
doi:10.3390/e23020134

Luzie Helfmann, Jobst Heitzig, Peter Koltai, Jürgen Kurths, Christof Schütte: Statistical analysis of tipping pathways in agent-based models. In: The European Physical Journal Special Topics, 230 (2021). - S. 3249-3271.
doi:10.1140/epjs/s11734-021-00191-0

Paolo Giulietti, Peter Koltai, Sandro Vaienti: Targets and holes. In: Proceedings of the American Mathematical Society, 149 (2021). - S. 3293-3306.
doi:10.1090/proc/15384

Peter Koltai, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl: Transfer operators from optimal transport plans for coherent set detection. In: Physica D: Nonlinear Phenomena, 426 (2021). - .
doi:10.1016/j.physd.2021.132980

Philippe Miron, Francisco J. Beron-Vera, Luzie Helfmann, Peter Koltai: Transition paths of marine debris and the stability of the garbage patches. In: Chaos : An Interdisciplinary Journal of Nonlinear Science, 31 (2021). - .
doi:10.1063/5.0030535

2020

Gary Froyland, Peter Koltai, Martin Stahn: Computation and optimal perturbation of finite-time coherent sets for aperiodic flows without trajectory integration. In: SIAM Journal on Applied Dynamical Systems, 19 (2020). - S. 1659-1700.
doi:10.1137/19M1261791

Peter Koltai, Stephan Weiss: Diffusion maps embedding and transition matrix analysis of the large-scale flow structure in turbulent Rayleigh-Bénard convection. In: Nonlinearity, 33 (2020). - .
doi:10.1088/1361-6544/ab6a76

Ralf Banisch, Zofia Trstanova, Andreas Bittracher, Stefan Klus, Peter Koltai: Diffusion maps tailored to arbitrary non-degenerate Itô processes. In: Applied and Computational Harmonic Analysis, 48 (2020). - S. 242-265.
doi:10.1016/j.acha.2018.05.001

Luzie Helfmann, Enric Ribera Borrell, Christof Schütte, Peter Koltai: Extending Transition Path Theory : Periodically Driven and Finite-Time Dynamics. In: Journal of Nonlinear Science, 30 (2020). - S. 3321-3366.
doi:10.1007/s00332-020-09652-7

Mattes Mollenhauer, Peter Koltai: Nonparametric approximation of conditional expectation operators.. - arXiv, 2020. - 37 S.
doi:10.48550/arXiv.2012.12917

2019

Konstantin Fackeldey, Peter Koltai, Peter Névir, Henning Rust, Axel Schild, Marcus Weber: From metastable to coherent sets : Time-discretization schemes. In: Chaos : An Interdisciplinary Journal of Nonlinear Science, 29 (2019). - .
doi:10.1063/1.5058128

Peter Koltai, Han Cheng Lie, Martin Plonka: Fréchet differentiable drift dependence of Perron–Frobenius and Koopman operators for non-deterministic dynamics. In: Nonlinearity, 32 (2019). - S. 4232-4257.
doi:10.1088/1361-6544/ab1f2a

Christiane Schneide, Martin Stahn, Ambrish Pandey, Oliver Junge, Peter Koltai, Kathrin Padberg-Gehle, Jörg Schumacher: Lagrangian coherent sets in turbulent Rayleigh-Bénard convection. In: Physical Review E, 100 (2019). - .
doi:10.1103/PhysRevE.100.053103

Philippe Miron, Francisco J. Beron-Vera, Maria J. Olascoaga, Peter Koltai: Markov-chain-inspired search for MH370. In: Chaos : An Interdisciplinary Journal of Nonlinear Science, 29 (2019). - .
doi:10.1063/1.5092132

Ralf Banisch, Peter Koltai, Kathrin Padberg-Gehle: Network measures of mixing. In: Chaos : An Interdisciplinary Journal of Nonlinear Science, 29 (2019). - .
doi:10.1063/1.5087632

Raphael Gerlach, Peter Koltai, Michael Dellnitz: Revealing the intrinsic geometry of finite dimensional invariant sets of infinite dimensional dynamical systems.. - arXiv, 2019. - 22 S.
doi:10.48550/arXiv.1902.08824

2018

Stefan Klus, Feliks Nüske, Peter Koltai, Hao Wu, Ioannis Kevrekidis, Christof Schütte, Frank Noé: Data-driven model reduction and transfer operator approximation. In: Journal of Nonlinear Science, 28 (2018). - S. 985-1010.
doi:10.1007/s00332-017-9437-7

Peter Koltai, D. R. Michiel Renger: From Large Deviations to Semidistances of Transport and Mixing : Coherence Analysis for Finite Lagrangian Data. In: Journal of Nonlinear Science, 28 (2018). - S. 1915-1957.
doi:10.1007/s00332-018-9471-0

Peter Koltai, Christof Schütte: A Multiscale Perturbation Expansion Approach for Markov State Modeling of Nonstationary Molecular Dynamics. In: Multiscale Modeling & Simulation, 16 (2018). - S. 1455-1485.
doi:10.1137/17M1146403

Peter Koltai, Hao Wu, Frank Noé, Christof Schütte: Optimal Data-Driven Estimation of Generalized Markov State Models for Non-Equilibrium Dynamics. In: Computation, 6 (2018). - .
doi:10.3390/computation6010022

Andreas Bittracher, Peter Koltai, Stefan Klus, Ralf Banisch, Michael Dellnitz, Christof Schütte: Transition Manifolds of Complex Metastable Systems. In: Journal of Nonlinear Science, 28 (2018). - S. 471-512.
doi:10.1007/s00332-017-9415-0

2017

Gary Froyland, Peter Koltai: Estimating long-term behavior of periodically driven flows without trajectory integration. In: Nonlinearity, 30 (2017). - S. 1948-1986.
doi:10.1088/1361-6544/aa6693

Ralf Banisch, Peter Koltai: Understanding the geometry of transport : Diffusion maps for Lagrangian trajectory data unravel coherent sets. In: Chaos : An Interdisciplinary Journal of Nonlinear Science, 27 (2017). - .
doi:10.1063/1.4971788

Hao Wu, Feliks Nüske, Fabian Paul, Stefan Klus, Peter Koltai, Frank Noé: Variational Koopman models : Slow collective variables and molecular kinetics from short off-equilibrium simulations. In: The Journal of Chemical Physics, 146 (2017). - .
doi:10.1063/1.4979344

2016

Peter Koltai, Giovanni Ciccotti, Christof Schütte: On metastability and Markov state models for non-stationary molecular dynamics. In: The Journal of Chemical Physics, 145 (2016). - .
doi:10.1063/1.4966157

Stefan Klus, Peter Koltai, Christof Schütte: On the numerical approximation of the Perron-Frobenius and Koopman operator. In: Journal of Computational Dynamics, 3 (2016). - S. 51-79.
doi:10.3934/jcd.2016003

2015

Andreas Bittracher, Carsten Hartmann, Oliver Junge, Peter Koltai: Pseudo generators for under-resolved molecular dynamics. In: The European Physical Journal Special Topics, 224 (2015). - S. 2463-2490.
doi:10.1140/epjst/e2015-02422-y

Andreas Bittracher, Peter Koltai, Oliver Junge: Pseudogenerators of Spatial Transfer Operators. In: SIAM Journal on Applied Dynamical Systems, 14 (2015). - S. 1478-1517.
doi:10.1137/14099872X

2014

Lars Grüne, Sandra Hirche, Oliver Junge, Peter Koltai, Daniel Lehmann, Jan Lunze, Adam Molin, Rudolf Sailer, Manuela Sigurani, Christian Stöcker, Fabian Wirth: Event-based control. In: Lunze, Jan (ed.): Control theory of digitally networked dynamic systems. - Cham : Springer, 2014. - S. 169-261.
doi:10.1007/978-3-319-01131-8_5

Peter Koltai, Oliver Junge: Optimal value functions for weakly coupled systems : a posteriori estimates. In: ZAMM : Journal of Applied Mathematics and Mechanics = Zeitschrift für angewandte Mathematik und Mechanik, 94 (2014). - S. 345-355.
doi:10.1002/zamm.201100138

Peter Koltai, Alexander Volf: Optimizing the stable behavior of parameter-dependent dynamical systems : maximal domains of attraction, minimal absorption times. In: Journal of Computational Dynamics, 1 (2014). - S. 339-356.
doi:10.3934/jcd.2014.1.339

Peter Koltai, Oliver Junge: Quantized nonlinear feedback design by a split dynamic programming approach. In: MTNS 2014 : the 21st International Symposium on Mathematical Theory of Networks and Systems ; Proceedings. - Groningen, The Netherlands : University of Groningen, 2014.

Peter Koltai: Split optimal policy iteration for LQR problems.. - arXiv, 2014. - 14 S.
doi:10.48550/arXiv.1404.5209

2013

Gary Froyland, Oliver Junge, Peter Koltai: Estimating long term behavior of flows without trajectory integration : the infinitesimal generator approach. In: SIAM Journal on Numerical Analysis, 51 (2013). - S. 223-247.
doi:10.1137/110819986

2011

Peter Koltai: Discrete infinitesimal generator of the Frobenius-Perron operator semigroup associated with "outflow systems".. - arXiv, 2011. - 4 S.
doi:10.48550/arXiv.1103.0530

Peter Koltai: Efficient approximation methods for the global long-term behavior of dynamical systems : Theory, algorithms and examples. - Berlin : Logos-Verlag, 2011. - VIII, 162 S.

Peter Koltai: A stochastic approach for computing the domain of attraction without trajectory simulation. In: Conference Publications / American Institute of Mathematical Sciences, (2011). - S. 854-863.
doi:10.3934/proc.2011.2011.854

2009

Oliver Junge, Peter Koltai: Discretization of the Frobenius-Perron Operator Using a Sparse Haar Tensor Basis : The Sparse Ulam Method. In: SIAM Journal on Numerical Analysis, 47 (2009). - S. 3464-3485.
doi:10.1137/080716864

Gero Friesecke, Oliver Junge, Peter Koltai: Mean Field Approximation in Conformation Dynamics. In: Multiscale Modeling & Simulation, 8 (2009). - S. 254-268.
doi:10.1137/080745262

Fakultät für Mathematik, Physik und Informatik

Prof. Dr. Péter Koltai
Lehrstuhlinhaber

Bürocenter Bayreuth Süd
Haus 1 - Nürnberger Str. 38

Zi: 1.2.11

Telefon: +49 (0)921 55-4547
E-Mail: Peter.Koltai@uni-bayreuth.de