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AuthorFrehland, Eckart. author
TitleStochastic Transport Processes in Discrete Biological Systems [electronic resource] / by Eckart Frehland
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg, 1982
Connect tohttp://dx.doi.org/10.1007/978-3-642-47511-5
Descript VIII, 174 p. 36 illus. online resource

SUMMARY

These notes are in part based on a course for advanced students in the applications of stochastic processes held in 1978 at the University of Konstanz. These notes contain the results of reยญ cent studies on the stochastic description of ion transport through biological membranes. In particular, they serve as an introduction to an unified theory of fluctuations in complex biological transport systems. We emphasize that the subject of this volume is not to introduce the mathematics of stochastic processes but to present a field of theoretical biophysics in which stochastic methods are important. In the last years the study of membrane noise has become an important method in biophysics. Valuable information on the ion transport mechanisms in membranes can be obtained from noise analysis. A number of different processes such as the opening and closing of ion channels have been shown to be sources of the measured current or voltage fluctuations. Bioยญ logical 'transport systems can be complex. For example, the transport process can be coupled to other processes such as chemical reactions and take place in discontinuous structures of molecular dimensions. Furthermore, since there are strong electric fields or high concentration gradients across biological membranes ion transport processes of biological relevance are mostly processes far from equilibrium. For these reasons the development of new theoretical concepts has been necessary. The concept of transport in discrete systems has turned out to be more appropriate than continuum models


CONTENT

A. Stochastic Processes -- 1. Expectation Values, Moments, Variance, Correlations -- 2. Probabilities -- 3. Binomial, Poisson, Normal Distributions -- 4. Stationarity and Ergodicity -- B. Analysis of Stationary Stochastic Processes -- 1. Basic Concepts of Noise Analysis -- 2. Poisson Processes, Carsonโ{128}{153}s Theorem -- 3. The Master Equation Approach to Fluctuations -- C. Transport Fluctuations Around Steady States -- 1. Introductory Remarks on Transport Fluctuations -- 2. The Concept of Transport in Discrete Systems -- 3. Transport Fluctuations at Equilibrium -- 4. Theory of Transport Fluctuations Around Equilibrium and Nonequilibrium Steady States -- 5. Transport Fluctuations in Basic Membrane Transport Systems -- 6. Transport Fluctuations in More Sophisticated Channel Models -- 7. Invalidity of the Fluctuation-Dissipation Theorem for Transport Fluctuations Around Nonequilibrium Steady States -- 8. Current Noise: The Limit of High Applied Voltage -- D. Nonstationary Processes, Fluctuations at Transient States -- 1. A Simple Example: Identical, Independent Channels -- 2. Time-Dependent States in Markov Processes -- 3. Linear Birth-Death Processes With One Variable -- 4. Nonlinear Processes -- 5. Transport Noise at Transient States -- References


Life sciences Cell biology Algebra Applied mathematics Engineering mathematics Biomathematics Life Sciences Cell Biology Applications of Mathematics Algebra Mathematical and Computational Biology



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