# American Institute of Mathematical Sciences

October  2012, 17(7): 2313-2327. doi: 10.3934/dcdsb.2012.17.2313

## From a PDE model to an ODE model of dynamics of synaptic depression

 1 Department of Mathematics, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, Nadbystrzycka 38A, 20-618 Lublin 2 Faculty of Mathematics, Physics and Computer Science, Maria Curie-Skŀodowska University in Lublin, Pl. Marii Curie-Skŀodowskiej 1, 20-031 Lublin, Poland

Received  January 2012 Revised  February 2012 Published  July 2012

We provide a link between two recent models of dynamics of synaptic depression. To this end, we specify the missing transmission conditions in the PDE model of Bielecki and Kalita, and show that if diffusion is fast and communication between pools is slow, the PDE model is well approximated by the ODE model of Aristizabal and Glavinovič. From the mathematical point of view the ODE model is obtained as a singular perturbation of the PDE model with singularities both in the operator and in the boundary and transmission conditions. The result is put in the context of degenerate convergence of semigroups of operators, where a sequence of strongly continuous semigroups approaches a semigroup that is strongly continuous only on a subspace of the original Banach space. Biologically, our approach allows a new, natural interpretation of the ODE model’s parameters.
Citation: Adam Bobrowski, Katarzyna Morawska. From a PDE model to an ODE model of dynamics of synaptic depression. Discrete & Continuous Dynamical Systems - B, 2012, 17 (7) : 2313-2327. doi: 10.3934/dcdsb.2012.17.2313
##### References:
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show all references

##### References:
 [1] F. Aristizabal and M. I. Glavinovič, Simulation and parameter estimation of dynamics of synaptic depression,, Biol. Cybern., 90 (2004), 3.  doi: 10.1007/s00422-003-0432-8.  Google Scholar [2] A. Bielecki and P. Kalita, Model of neurotransmitter fast transport in axon terminal of presynaptic neuron,, J. Math. Biol., 56 (2008), 559.  doi: 10.1007/s00285-007-0131-5.  Google Scholar [3] A. Bobrowski, Degenerate convergence of semigroups,, Semigroup Forum, 49 (1994), 303.  doi: 10.1007/BF02573493.  Google Scholar [4] A. Bobrowski, A note on convergence of semigroups,, Ann. Polon. Math., 69 (1998), 107.   Google Scholar [5] A. Bobrowski, "Functional Analysis for Probability and Stochastic Processes. An Introduction,", Cambridge University Press, (2005).  doi: 10.1017/CBO9780511614583.  Google Scholar [6] A. Bobrowski, Degenerate convergence of semigroups related to a model of stochastic gene expression,, Semigroup Forum, 73 (2006), 345.  doi: 10.1007/s00233-006-0633-2.  Google Scholar [7] A. Bobrowski, On limitations and insufficiency of the Trotter-Kato theorem,, Semigroup Forum, 75 (2007), 317.  doi: 10.1007/s00233-006-0676-4.  Google Scholar [8] R. Dautray and J.-L. Lions, "Mathematical Analysis and Numerical Methods for Science and Technology. Vol. 3. Spectral Theory and Applications,", With the collaboration of Michel Artola and Michel Cessenat, (1990).  doi: 10.1002/zamm.19920720316.  Google Scholar [9] T. Eisner, "Stability of Operators and Operator Semigroups,", Operator Theory: Advances and Applications, 209 (2010).   Google Scholar [10] K.-J. Engel and R. Nagel, "One-Parameter Semigroups for Linear Evolution Equations,", Graduate Texts in Mathematics, 194 (2000).   Google Scholar [11] K.-J. Engel and R. Nagel, "A Short Course on Operator Semigroups,", Universitext, (2006).   Google Scholar [12] S. N. Ethier and T. G. Kurtz, "Markov Processes. Characterization and Convergence,", Wiley Series in Probability and Mathematical Statistics: Probability and Mathematical Statistics, (1986).   Google Scholar [13] W. J. Ewens, "Mathematical Population Genetics,", Biomathematics, 9 (1979).   Google Scholar [14] W. Feller, Diffusion processes in genetics,, in, (1950).   Google Scholar [15] W. Feller, Two singular diffusion problems,, Ann. of Math. (2), 54 (1951), 173.  doi: 10.2307/1969318.  Google Scholar [16] W. Feller, The parabolic differential equations and the associated semi-groups of transformations,, Ann. of Math. (2), 55 (1952), 468.  doi: 10.2307/1969644.  Google Scholar [17] W. Feller, Diffusion processes in one dimension,, Trans. Amer. Math. Soc., 77 (1954), 1.  doi: 10.1090/S0002-9947-1954-0063607-6.  Google Scholar [18] G. Greiner, Perturbing the boundary conditions of a generator,, Houston J. of Mathematics, 13 (1987), 213.   Google Scholar [19] K. Itô and H. P. McKean, Jr., "Diffusion Processes and their Sample Paths,", reprint of the 1974 edition, (1974).  doi: 10.1214/aoms/1177699390.  Google Scholar [20] I. Karatzas and S. E. Shreve, "Brownian Motion and Stochastic Calculus,", Second edition, 113 (1991).  doi: 10.1002/zamm.19890691124.  Google Scholar [21] P. Mandl, "Analytical Treatment of One-Dimensional Markov Processes,", Die Grundlehren der mathematischen Wissenschaften, (1968).   Google Scholar [22] E. Neher and R. S. Zucker, Multiple calcium-dependant process related to secretion in bovine chromaffin cells,, Neuron, 10 (1993), 2.  doi: 10.1016/0896-6273(93)90238-M.  Google Scholar [23] D. Revuz and M. Yor, "Continuous Martingales and Brownian Motion,", 3$^{rd}$ edition, 293 (1999).  doi: 10.1214/aop/1176989417.  Google Scholar [24] K. Taira, "Semigroups, Boundary Value Problems and Markov Processes,", Springer Monographs in Mathematics, (2004).   Google Scholar [25] A. D. Ventcel', On boundary conditions for multi-dimensional diffusion processes,, (in Russian), 4 (1959), 172.   Google Scholar
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