Some Explicit Solutions of the Cable Equation
|
|
- Louisa Violet Hines
- 5 years ago
- Views:
Transcription
1 Some Explicit Solutions of the Cable Equation Marco Herrera-Valdéz and Sergei K. Suslov Mathematical, Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ , U.S.A. W. Miller s S 4 Conference September 19, 2010
2 Introduction The Cable Equation Analytic, Asymptotic and/or Numerical Solutions for a Single Branch A Graphical Approach Transient Solutions Appendix: Modi ed Orthogonality Relation
3 1 Introduction Neurons are among the most important and interesting cells in the body. They are the fundamental building blocks of the central nervous system and hence responsible for motor control, cognition, perception, and memory, among other things. Although our understanding of how networks of neurons interact to form an intelligent system is extremely limited, one prerequisite for an understanding of the nervous system is an understanding of how individual nerve cells behave. A typical neuron consists of three principal parts: the dendrites; the cell body, or soma; and the axon. There is a great deal of experimental data indicating that parts of neurons (dendrites) conduct electricity in a passive manner. Thus, there has been developed a theory describing the ow of electricity in neurons using the theory of electrical ow in cables.
4 Graphical methods are very useful and popular in di erent branches of modern physics. It is worth noting, for example, Feynman diagrams in quantum mechanical or statistical eld theory, Vilenkin-Kuznetsov-Smorodinskii approach to solutions of n-dimensional Laplace equation, applications in solid-state theory, etc. Cable theory plays a central role in many areas of electrophysiology, but, to the best of our knowledge, graphical methods seem have not been widely applied yet in the mathematical modeling of neurons. A goal of this presentation is to make a modest step in this direction. We use explicit solutions from recent papers on variable quadratic Hamiltonians in nonrelativistic quantum mechanics.
5 2 The Cable Equation The cable equation was derived for the rst transatlantic telegraph cable, around 1855, by Professor William Thomson (Lord Lelvin). As a student in Paris, Thompson had mastered the mathematical methods pioneered by Fourier including PDEs and separation of variables. (In electrophysiology, the magnetic eld can be neglected.) For the axial symmetric pro le r = r (x) ; where x represents distance along the axis in the membrane variable cylinder, the cable theory implies the following set of equations: 2rI m ds ; ds dx = s 1 + dr 2 (1) dx I m = V R m + ; (2) I = r2 : (3)
6 Here, V represents the voltage di erence across the membrane (interior minus exterior) as a deviation from its resting value, I m is the membrane current density, I = I a is the total axial current, R m is the membrane resistance, R i is the intercellular resistivity and C m is membrane capacitance. Di erentiating equation (3) with respect to x and substituting the result into (1) with the help of (2) one gets V + C m R m 1 = R m r 2@V 2R dr 2 (4) which is the cable equation with tapering for a single branch of dendritic tree. ; dx Once again, V represents the voltage di erence across the membrane, R m is the membrane resistance, R i is the intercellular resistivity and C m is membrane capacitance.
7 We shall be particularly interested in solutions of the cable equation (4) corresponding to termination with a sealed end, namely, when at the end point x = x 1 the membrane cylinder is sealed with a disk composed of the same membrane. In this case, the corresponding boundary condition can be derived by setting I a = r 2 I m ; (5) at x = x 1 : Then, in view of (2) (3), one gets: V + C m + R m x=x1 = 0; t 0: In a similar fashion, at the somatic end one gets V + C s R R x=x0 = 0; t 0; (6) (7) where R s is the somatic resistance and C s is the somatic capacitance.
8 We shall mainly concentrate on steady-state solutions of the cable equation, when 0: Then V s 1 + (x 0 x x 1 ) and dr V j x=x0 = V 0 ; dx 2 = R m 2rR i d dx dv dx + B (x) V r 2dV dx (8) x=x 1 = 0; (9) B (x 1 ) = R i R m : This boundary value problem can be conveniently solved in terms of standard solutions of this second order ordinary di erential equation as follows V (x) = V (x 0 ) C (x) + B (x 1) S (x) C (x 0 ) + B (x 1 ) S (x 0 ) ; (10) where C (x) and S (x) are two linearly independent solutions of the stationary cable equation (8) that satisfy special boundary conditions C (x 1 ) = 1; C 0 (x 1 ) = 0 and S (x 1 ) = 0; S 0 (x 1 ) = 1:
9 Then dv dx + B (x) V = 0 (x 0 x x 1 ) (11) with the corresponding current density/voltage ratio function B (x) given by B (x) = V 0 V = C0 (x) + B (x 1 ) S 0 (x) C (x) + B (x 1 ) S (x) (12) in term of the standard solutions C (x) and S (x) : Throughout this talk, we shall refer to a case, when B (x) > 0 (x 0 < x < x 1 ) ; as the case of weak tapering. An opposite situation, when B () = 0 at a certain point x 0 < < x 1 and an inverse of the current may occur, shall be called a case of the strong tapering.
10 3 Tapering with Analytic, Asymptotic and/or Numerical Solutions We consider a general model of a dendrite as a (binary) directed tree (from the soma to its terminal ends) consisting of axially symmetric branches with the following types of tapering. 3.1 Cylinder (Standard Model) Here, r = r 0 =constant, 0 x L and the cable equation takes the simplest form 2d2 V dx 2 = V; with a familiar solution: 2 = r 0R m 2R i (13) V (x) = V 0 cosh ((L x) =) + B L sinh ((L x) =) cosh (L=) + B L sinh (L=) (14)
11 subject to boundary conditions Then V (0) = V 0 ; B L V (L) + dv dx (L) = 0: (15) B (x) = B L + tanh ((L x) =) + 2 B L tanh ((L x) =) : (16) 3.2 Frustum(Cone) Here, r = r (x) = r 0 + r 1 r 0 L x with 0 x L: The steady-state solution of the corresponding cable equation r d2 V dx 2 +2dV dx = 2 4 V; = s 8Ri R m 1 + r 1 r 0 L r 1 r 0 L subject to boundary conditions (15) are given by 2 1=4 (17) C (L x) + B V (x) = V L S (L x) 0 : (18) C (L) + B L S (L)
12 Here, the standard solutions (that satisfy S (0) = 0; S 0 (0) = 1 and C (0) = 1; C 0 (0) = 0) can be constructed as follows S (x) = and 2Lr 3=2 0 (r 1 r 0 ) p r h K 1 ( p p r 0 ) I 1 r (19) I 1 ( p r 0 ) K 1 p r i C (x) = [ p r 0 K 0 ( p r 0 ) + 2K 1 ( p r 0 )] (20) s r0 p I 1 r r 1 + [ p r 0 I 0 ( p r 0 ) 2I 1 ( p r 0 )] s r0 p K 1 r r 1 in terms of modi ed Bessel functions I (z) and K (z) of orders = 0; 1.
13 3.3 Hyperbola If r = a cosh x b a on an interval x0 x x 1 ; the cable equation (4) takes the x b V + C m R m cosh a = R " m x x 2 # 2 sinh 2R i + a cosh V 2 : This special case of tapering is integrable in terms of elementary functions (a similar problem occurs in a model of the dumped quantum oscillator). For the steady-state solutions one obtains the following equation with new parameters V tanh (x + ) V 0 = 2 0 V (22) = 1 a ; = b; 2 0 = 2R i ar m : (23)
14 The corresponding two linearly independent solutions, namely, V 1 (x) = V 2 (x) = ( = sinh (x + ) cosh (x + ) ; (24) cosh (x + ) cosh (x + ) q ) can be veri ed by a direct substitution for an arbitrary parameter : The required steady-state solution of the boundary value problem V (x 0 ) = V 0 ; is given by BV (x 1 ) + dv dx (x 1) = 0 (25) V (x) = V 0 C (x 1 x) + BS (x 1 x) C (x 1 x 0 ) + BS (x 1 x 0 ) ; (26)
15 where and C (x 1 x) (27) = cosh ( (b x 1 )) cosh ( (x 1 x)) cosh ( (x b)) + sinh ( (b x 1 )) sinh ( (x 1 x)) cosh ( (x b)) S (x 1 x) = cosh ( (b x 1 )) sinh ( (x 1 x)) cosh ( (x b)) : (28) 3.4 General Case of Axial Symmetry One can use numerical methods and/or WKB approximation in order to obtain standard solutions.
16 4 A Graphical Approach Graphical rules for voltages and currents in a model of dendritic tree with tapering are as follows. 4.1 Single Axially Symmetric Branch with Arbitrary Tapering For a single branch with tapering voltage and current density/voltage ratio are given by V (x) = C (x 1 x) + B (x 1 ) S (x 1 x) C (x 1 x 0 ) + B (x 1 ) S (x 1 x 0 ) V (x 0 ) (29) = (C (x 1 x) + B (x 1 ) S (x 1 x)) V (x 1 ) ; B (x) = C0 (x 1 x) + B (x 1 ) S 0 (x 1 x) C (x 1 x) + B (x 1 ) S (x 1 x) = V 0 (x) V (x) ; respectively (see Figure). (30)
17 4.2 Junction of Three Branches with Different Types of Tapering The internal potential and current are assumed to be continuous at all dendritic branch points and at the somadendritic junction. We consider a general case when each branch has its own tapering, say r = r (x) ; r 1 = r 1 (x) and r 2 = r 2 (x) (see Figure). Then V (x 12 ) = V 1 (x 12 ) = V 2 (x 12 ) ; (31) r 2 (x 12 ) B (x 12 ) (32) = r 2 1 (x 12) B 1 (x 12 ) + r 2 2 (x 12) B 2 (x 12 ) : The total ratio constant B (x 12 ) at the branching point x 12 is given by the following expression B (x 12 ) = r2 1 (x 12) r 2 (x 12 ) B 1 (x 12 ) + r2 2 (x 12) r 2 (x 12 ) B 2 (x 12 )(33) = B (B 1 (x 1 ) ; B 2 (x 2 )) = r2 1 (x 12) C1 0 (x 1 x 12 ) + B 1 (x 1 ) S1 0 (x 1 x 12 ) r 2 (x 12 ) C 1 (x 1 x 12 ) + B 1 (x 1 ) S 1 (x 1 x 12 ) + r2 2 (x 12) C2 0 (x 2 x 12 ) + B 2 (x 2 ) S2 0 (x 2 x 12 ) r 2 (x 12 ) C 2 (x 2 x 12 ) + B 2 (x 2 ) S 2 (x 2 x 12 ) :
18 Then the ratio constant B (x 0 ) is B (x 0 ) = C0 (x 12 x 0 ) + B (x 12 ) S 0 (x 12 x 0 ) C (x 12 x 0 ) + B (x 12 ) S (x 12 x 0 ) (34) with the coe cient B (x 12 ) found by the previous formula (33). 4.3 Junction of (n + 1)-Branches In a similar fashion, at the branching point x ; one gets V (x ) = V 1 (x ) = V 2 (x ) = ::: = V n (x ) ; (35) r 2 (x ) B (x ) (36) = r 2 1 (x ) B 1 (x ) + ::: + r 2 n (x ) B n (x ) = nx i=1 (See Figure.) r 2 i (x ) B i (x ) :
19 Combination of the above graphical rules results in a simple algorithm of evaluation of voltages and currents in the model of dendritic tree under consideration as follows: Evaluate constants B (x ) for all branching points of the tree: (a) rst apply formula (33) for all open notes; (b) remove the above nodes from the tree and keep repeating the previous step until you reach the root of tree (soma). In order to nd voltage at a point x of the dendritic tree, follow the path x 0! x and multiply the initial voltage V (x 0 ) by consecutive corresponding factors from formula (29) changing at each intersection of the tree. The ratio of voltages V (x ) and V x at two terminal points, can be determine in a graphic form by the previous rule applied to the shortest path x! x : (Examples are left to the reader.)
20 5 Transient Solutions Let us consider the cable equation (4) for a single branch with an arbitrary smooth tapering r = r (x) on the interval x 0 x x 1 : The separation of variables V (x; t) = e (1+2 )t= m u (x) ; m = C m R m (37) in results in 1 d r 2du +! 2 ds r dx dx dx u = 0; where is a separation constant.!2 = 2R i R m 2 ; (38) The boundary condition at the sealed end (6) takes the form du 1 dx 2!2 u = 0: (39) x=x 1 A general solution of this problem can be written (for each branch of the dendritic tree) as follows u (x) = u (x;!) = A C (x;!) + 1 2!2 S (x;!) ; (40)
21 where A is a constant and C (x;!) and S (x;!) are two linearly independent standard solutions of equation (38) that satisfy special boundary conditions C (x 1 ;!) = 1; C 0 (x 1 ;!) = 0 and S (x 1 ;!) = 0; S 0 (x 1 ;!) = 1: Then the boundary condition (7) at the somatic end x = x 0 ; namely, du Ri dx + s 1 + C s! u 2 = 0 R s m 2C m x=x0 (41) with s = C s R s results in a transcendental equation " s R!# m! 2 Ri (42) 2R i R s m = C0 (x 0 ;!) + 1 2!2 S 0 (x 0 ;!) C (x 0 ;!) + 1 2!2 S (x 0 ;!) for the eigenvalues!: (There are in nitely many eigenvalues.) The corresponding eigenfunctions u n = u (x;! n ) are orthogonal (u m ; u n ) = mn (u n ; u n ) (43)
22 with respect to an inner product that is given in terms of the Lebesgue Stieltjes integral (see Appendix) (u; v) := Z x1 x 0 u (x) v (x) r (x) ds (44) r2 (x 1 ) u (x 1 ) v (x 1 ) + C s r 2 (x 0 ) u (x 0 ) v (x 0 ) : 2C m A formal solution of the corresponding initial value problem takes the form "! t V (x; t) = X A n exp 1 + R m! 2 n (45) n 2R i m C (x;! n ) + 1 2!2 ns (x;! n ) + V (x; 1) ; where V (x; 1) is the steady-state solution and! =! n are roots of the transcendental equation (42). Coe - cients A n can be obtained with the help of the modi ed orthogonality relation (43) as follows # A n = (V (x; 0) V (x; 1) ; u n (x)) ; (46) (u n (x) ; u n (x)) u n (x) = C (x;! n ) + 1 2!2 ns (x;! n ) :
23 Substitution of (46) into (45) results in V (x; t) = V (x; 1) (47) + Z Supp G (x; y; t) (V (y; 0) V (y; 1)) d (y) ; where G (x; y; t) = X " exp 1 + R! # m! 2 t n (48) n 2R i m u n (x) u n (y) ku n k 2 is an analog of the heat kernel. The case of a piecewise tapering r = ( r0 (x) ; x 0 x x 01 r 1 (x) ; x 01 x x 1 (49) with r 0 x01 = r1 x + 01 is considered in a similar fashion.
24 6 Summary In this presentation, we have discussed a simple graphical approach to steady state solutions of the cable equation for a general model of dendritic tree with tapering. A simple case of transient solutions is also analyzed.
25 7 Appendix: Modi ed Orthogonality Relation We consider the Sturm Liouville type problem, Lu + u = 0; (50) for the second order di erential operator Lu = d k (x) du q (x) u; (51) dx dx where k; q and are continuous real-valued functions on an interval [x 0 ; x 1 ] ; k and are positive in [x 0 ; x 1 ] ; k 0 exists and is continuous in [x 0 ; x 1 ] ; subject to modi ed boundary conditions u 0 (x 0 ) + (a 0 + b 0 ) u (x 0 ) = 0; (52) u 0 (x 1 ) + (a 1 b 1 ) u (x 1 ) = 0; where a 0 ; b 0 0 and a 1 ; b 1 0 are constants.
26 With the help of the second Green s formula, Z x1 (vlu ulv) dx = k v du u dv x 0 dx dx x 1 x 0 ; (53) for two eigenfunctions u and v corresponding to di erent eigenvalues Lu + u = 0; Lv + v = 0; 6= (54) one gets the following orthogonality relation: Z x1 x 0 u (x) v (x) dx (55) +b 1 k (x 1 ) u (x 1 ) v (x 1 ) +b 0 k (x 0 ) u (x 0 ) v (x 0 ) = 0: Here, the modi ed inner product (u; v) := = Z x1 x 0 Z Supp u (x) v (x) dx uv d (56) +b 1 k (x 1 ) u (x 1 ) v (x 1 ) + b 0 k (x 0 ) u (x 0 ) v (x 0 ) is de ned in terms of the Lebesgue Stieltjes integral.
1 A complete Fourier series solution
Math 128 Notes 13 In this last set of notes I will try to tie up some loose ends. 1 A complete Fourier series solution First here is an example of the full solution of a pde by Fourier series. Consider
More information1 Solutions in cylindrical coordinates: Bessel functions
1 Solutions in cylindrical coordinates: Bessel functions 1.1 Bessel functions Bessel functions arise as solutions of potential problems in cylindrical coordinates. Laplace s equation in cylindrical coordinates
More informationQuantitative Electrophysiology
ECE 795: Quantitative Electrophysiology Notes for Lecture #4 Wednesday, October 4, 2006 7. CHEMICAL SYNAPSES AND GAP JUNCTIONS We will look at: Chemical synapses in the nervous system Gap junctions in
More informationName: Math Homework Set # 5. March 12, 2010
Name: Math 4567. Homework Set # 5 March 12, 2010 Chapter 3 (page 79, problems 1,2), (page 82, problems 1,2), (page 86, problems 2,3), Chapter 4 (page 93, problems 2,3), (page 98, problems 1,2), (page 102,
More informationMidterm Solution
18303 Midterm Solution Problem 1: SLP with mixed boundary conditions Consider the following regular) Sturm-Liouville eigenvalue problem consisting in finding scalars λ and functions v : [0, b] R b > 0),
More informationPARTIAL DIFFERENTIAL EQUATIONS and BOUNDARY VALUE PROBLEMS
PARTIAL DIFFERENTIAL EQUATIONS and BOUNDARY VALUE PROBLEMS NAKHLE H. ASMAR University of Missouri PRENTICE HALL, Upper Saddle River, New Jersey 07458 Contents Preface vii A Preview of Applications and
More informationWelcome to Math 257/316 - Partial Differential Equations
Welcome to Math 257/316 - Partial Differential Equations Instructor: Mona Rahmani email: mrahmani@math.ubc.ca Office: Mathematics Building 110 Office hours: Mondays 2-3 pm, Wednesdays and Fridays 1-2 pm.
More information3 Green s functions in 2 and 3D
William J. Parnell: MT34032. Section 3: Green s functions in 2 and 3 57 3 Green s functions in 2 and 3 Unlike the one dimensional case where Green s functions can be found explicitly for a number of different
More informationPhysics 6303 Lecture 15 October 10, Reminder of general solution in 3-dimensional cylindrical coordinates. sinh. sin
Physics 6303 Lecture 15 October 10, 2018 LAST TIME: Spherical harmonics and Bessel functions Reminder of general solution in 3-dimensional cylindrical coordinates,, sin sinh cos cosh, sin sin cos cos,
More informationWaves on 2 and 3 dimensional domains
Chapter 14 Waves on 2 and 3 dimensional domains We now turn to the studying the initial boundary value problem for the wave equation in two and three dimensions. In this chapter we focus on the situation
More informationM445: Heat equation with sources
M5: Heat equation with sources David Gurarie I. On Fourier and Newton s cooling laws The Newton s law claims the temperature rate to be proportional to the di erence: d dt T = (T T ) () The Fourier law
More informationSpherical Coordinates and Legendre Functions
Spherical Coordinates and Legendre Functions Spherical coordinates Let s adopt the notation for spherical coordinates that is standard in physics: φ = longitude or azimuth, θ = colatitude ( π 2 latitude)
More information80% of all excitatory synapses - at the dendritic spines.
Dendritic Modelling Dendrites (from Greek dendron, tree ) are the branched projections of a neuron that act to conduct the electrical stimulation received from other cells to and from the cell body, or
More informationMTH5201 Mathematical Methods in Science and Engineering 1 Fall 2014 Syllabus
MTH5201 Mathematical Methods in Science and Engineering 1 Fall 2014 Syllabus Instructor: Dr. Aaron Welters; O ce: Crawford Bldg., Room 319; Phone: (321) 674-7202; Email: awelters@fit.edu O ce hours: Mon.
More informationPosition Dependence Of The K Parameter In The Delta Undulator
LCLS-TN-16-1 Position Dependence Of The K Parameter In The Delta Undulator Zachary Wolf SLAC January 19, 016 Abstract In order to understand the alignment tolerances of the Delta undulator, we must know
More informationFOURIER SERIES, TRANSFORMS, AND BOUNDARY VALUE PROBLEMS
fc FOURIER SERIES, TRANSFORMS, AND BOUNDARY VALUE PROBLEMS Second Edition J. RAY HANNA Professor Emeritus University of Wyoming Laramie, Wyoming JOHN H. ROWLAND Department of Mathematics and Department
More informationPhysics 6303 Lecture 9 September 17, ct' 2. ct' ct'
Physics 6303 Lecture 9 September 17, 018 LAST TIME: Finished tensors, vectors, 4-vectors, and 4-tensors One last point is worth mentioning although it is not commonly in use. It does, however, build on
More information/639 Final Solutions, Part a) Equating the electrochemical potentials of H + and X on outside and inside: = RT ln H in
580.439/639 Final Solutions, 2014 Question 1 Part a) Equating the electrochemical potentials of H + and X on outside and inside: RT ln H out + zf 0 + RT ln X out = RT ln H in F 60 + RT ln X in 60 mv =
More informationFourier Analysis Fourier Series C H A P T E R 1 1
C H A P T E R Fourier Analysis 474 This chapter on Fourier analysis covers three broad areas: Fourier series in Secs...4, more general orthonormal series called Sturm iouville epansions in Secs..5 and.6
More informationTwo special equations: Bessel s and Legendre s equations. p Fourier-Bessel and Fourier-Legendre series. p
LECTURE 1 Table of Contents Two special equations: Bessel s and Legendre s equations. p. 259-268. Fourier-Bessel and Fourier-Legendre series. p. 453-460. Boundary value problems in other coordinate system.
More informationREUNotes08-CircuitBasics May 28, 2008
Chapter One Circuits (... introduction here... ) 1.1 CIRCUIT BASICS Objects may possess a property known as electric charge. By convention, an electron has one negative charge ( 1) and a proton has one
More informationPhysics 6303 Lecture 8 September 25, 2017
Physics 6303 Lecture 8 September 25, 2017 LAST TIME: Finished tensors, vectors, and matrices At the beginning of the course, I wrote several partial differential equations (PDEs) that are used in many
More informationStochastic solutions of nonlinear pde s: McKean versus superprocesses
Stochastic solutions of nonlinear pde s: McKean versus superprocesses R. Vilela Mendes CMAF - Complexo Interdisciplinar, Universidade de Lisboa (Av. Gama Pinto 2, 1649-3, Lisbon) Instituto de Plasmas e
More informationNumerical simulation of the smooth quantum hydrodynamic model for semiconductor devices
Comput. Methods Appl. Mech. Engrg. 181 (2000) 393±401 www.elsevier.com/locate/cma Numerical simulation of the smooth quantum hydrodynamic model for semiconductor devices Carl L. Gardner *,1, Christian
More informationOn an Eigenvalue Problem Involving Legendre Functions by Nicholas J. Rose North Carolina State University
On an Eigenvalue Problem Involving Legendre Functions by Nicholas J. Rose North Carolina State University njrose@math.ncsu.edu 1. INTRODUCTION. The classical eigenvalue problem for the Legendre Polynomials
More informationThe First Fundamental Form
The First Fundamental Form Outline 1. Bilinear Forms Let V be a vector space. A bilinear form on V is a function V V R that is linear in each variable separately. That is,, is bilinear if αu + β v, w αu,
More informationMathematical Modeling using Partial Differential Equations (PDE s)
Mathematical Modeling using Partial Differential Equations (PDE s) 145. Physical Models: heat conduction, vibration. 146. Mathematical Models: why build them. The solution to the mathematical model will
More informationd 1 µ 2 Θ = 0. (4.1) consider first the case of m = 0 where there is no azimuthal dependence on the angle φ.
4 Legendre Functions In order to investigate the solutions of Legendre s differential equation d ( µ ) dθ ] ] + l(l + ) m dµ dµ µ Θ = 0. (4.) consider first the case of m = 0 where there is no azimuthal
More informationFurther Pure Mathematics 3 GCE Further Mathematics GCE Pure Mathematics and Further Mathematics (Additional) A2 optional unit
Unit FP3 Further Pure Mathematics 3 GCE Further Mathematics GCE Pure Mathematics and Further Mathematics (Additional) A optional unit FP3.1 Unit description Further matrix algebra; vectors, hyperbolic
More informationNervous System Organization
The Nervous System Chapter 44 Nervous System Organization All animals must be able to respond to environmental stimuli -Sensory receptors = Detect stimulus -Motor effectors = Respond to it -The nervous
More informationLinearized methods for ordinary di erential equations
Applied Mathematics and Computation 104 (1999) 109±19 www.elsevier.nl/locate/amc Linearized methods for ordinary di erential equations J.I. Ramos 1 Departamento de Lenguajes y Ciencias de la Computacion,
More information1 Separation of Variables
Jim ambers ENERGY 281 Spring Quarter 27-8 ecture 2 Notes 1 Separation of Variables In the previous lecture, we learned how to derive a PDE that describes fluid flow. Now, we will learn a number of analytical
More informationApplied Nuclear Physics (Fall 2006) Lecture 3 (9/13/06) Bound States in One Dimensional Systems Particle in a Square Well
22.101 Applied Nuclear Physics (Fall 2006) Lecture 3 (9/13/06) Bound States in One Dimensional Systems Particle in a Square Well References - R. L. Liboff, Introductory Quantum Mechanics (Holden Day, New
More information5.4 Bessel s Equation. Bessel Functions
SEC 54 Bessel s Equation Bessel Functions J (x) 87 # with y dy>dt, etc, constant A, B, C, D, K, and t 5 HYPERGEOMETRIC ODE At B (t t )(t t ), t t, can be reduced to the hypergeometric equation with independent
More informationIV. Transport Phenomena Lecture 18: Forced Convection in Fuel Cells II
IV. Transport Phenomena Lecture 18: Forced Convection in Fuel Cells II MIT Student (and MZB) As discussed in the previous lecture, we are interested in forcing fluid to flow in a fuel cell in order to
More informationNotes on Special Functions
Spring 25 1 Notes on Special Functions Francis J. Narcowich Department of Mathematics Texas A&M University College Station, TX 77843-3368 Introduction These notes are for our classes on special functions.
More informationMATH 412 Fourier Series and PDE- Spring 2010 SOLUTIONS to HOMEWORK 5
MATH 4 Fourier Series PDE- Spring SOLUTIONS to HOMEWORK 5 Problem (a: Solve the following Sturm-Liouville problem { (xu + λ x u = < x < e u( = u (e = (b: Show directly that the eigenfunctions are orthogonal
More informationTHE FOURTH-ORDER BESSEL-TYPE DIFFERENTIAL EQUATION
THE FOURTH-ORDER BESSEL-TYPE DIFFERENTIAL EQUATION JYOTI DAS, W.N. EVERITT, D.B. HINTON, L.L. LITTLEJOHN, AND C. MARKETT Abstract. The Bessel-type functions, structured as extensions of the classical Bessel
More informationThe Helically Reduced Wave Equation as a Symmetric Positive System
Utah State University DigitalCommons@USU All Physics Faculty Publications Physics 2003 The Helically Reduced Wave Equation as a Symmetric Positive System Charles G. Torre Utah State University Follow this
More informationPDEs, part 1: Introduction and elliptic PDEs
PDEs, part 1: Introduction and elliptic PDEs Anna-Karin Tornberg Mathematical Models, Analysis and Simulation Fall semester, 2013 Partial di erential equations The solution depends on several variables,
More informationEIGENVALUES AND EIGENVECTORS 3
EIGENVALUES AND EIGENVECTORS 3 1. Motivation 1.1. Diagonal matrices. Perhaps the simplest type of linear transformations are those whose matrix is diagonal (in some basis). Consider for example the matrices
More informationSpotlight on Laplace s Equation
16 Spotlight on Laplace s Equation Reference: Sections 1.1,1.2, and 1.5. Laplace s equation is the undriven, linear, second-order PDE 2 u = (1) We defined diffusivity on page 587. where 2 is the Laplacian
More informationMath 4263 Homework Set 1
Homework Set 1 1. Solve the following PDE/BVP 2. Solve the following PDE/BVP 2u t + 3u x = 0 u (x, 0) = sin (x) u x + e x u y = 0 u (0, y) = y 2 3. (a) Find the curves γ : t (x (t), y (t)) such that that
More informationLEGENDRE POLYNOMIALS AND APPLICATIONS. We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates.
LEGENDRE POLYNOMIALS AND APPLICATIONS We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates.. Legendre equation: series solutions The Legendre equation is
More informationSCHOOL OF MATHEMATICS MATHEMATICS FOR PART I ENGINEERING. Self-paced Course
SCHOOL OF MATHEMATICS MATHEMATICS FOR PART I ENGINEERING Self-paced Course MODULE ALGEBRA Module Topics Simplifying expressions and algebraic functions Rearranging formulae Indices 4 Rationalising a denominator
More informationChapter 18 Electric Currents
Chapter 18 Electric Currents 1 The Electric Battery Volta discovered that electricity could be created if dissimilar metals were connected by a conductive solution called an electrolyte. This is a simple
More information7.3 Hyperbolic Functions Hyperbolic functions are similar to trigonometric functions, and have the following
Math 2-08 Rahman Week3 7.3 Hyperbolic Functions Hyperbolic functions are similar to trigonometric functions, and have the following definitions: sinh x = 2 (ex e x ) cosh x = 2 (ex + e x ) tanh x = sinh
More information12.11 Laplace s Equation in Cylindrical and
SEC. 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential 593 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential One of the most important PDEs in physics an engineering
More informationUpon successful completion of MATH 220, the student will be able to:
MATH 220 Matrices Upon successful completion of MATH 220, the student will be able to: 1. Identify a system of linear equations (or linear system) and describe its solution set 2. Write down the coefficient
More informationSeparation of Variables
Separation of Variables A typical starting point to study differential equations is to guess solutions of a certain form. Since we will deal with linear PDEs, the superposition principle will allow us
More informationFourier Analysis Partial Differential Equations (PDEs)
PART C Fourier Analysis. Partial Differential Equations (PDEs) CHAPTER CHAPTER Fourier Analysis Partial Differential Equations (PDEs) Chapter and Chapter are directly related to each other in that Fourier
More informationPhysics 342 Lecture 23. Radial Separation. Lecture 23. Physics 342 Quantum Mechanics I
Physics 342 Lecture 23 Radial Separation Lecture 23 Physics 342 Quantum Mechanics I Friday, March 26th, 2010 We begin our spherical solutions with the simplest possible case zero potential. Aside from
More informationFinal Exam Solutions, 1999
580.439 Final Exam Solutions, 999 Problem Part a A minimal circuit model is drawn below. The synaptic inals of cells A and B are represented by the parallel Cell A combination of synaptic conductance (G
More informationMath 46, Applied Math (Spring 2009): Final
Math 46, Applied Math (Spring 2009): Final 3 hours, 80 points total, 9 questions worth varying numbers of points 1. [8 points] Find an approximate solution to the following initial-value problem which
More informationv(x, 0) = g(x) where g(x) = f(x) U(x). The solution is where b n = 2 g(x) sin(nπx) dx. (c) As t, we have v(x, t) 0 and u(x, t) U(x).
Problem set 4: Solutions Math 27B, Winter216 1. The following nonhomogeneous IBVP describes heat flow in a rod whose ends are held at temperatures u, u 1 : u t = u xx < x < 1, t > u(, t) = u, u(1, t) =
More informationMath 345 Intro to Math Biology Lecture 20: Mathematical model of Neuron conduction
Math 345 Intro to Math Biology Lecture 20: Mathematical model of Neuron conduction Junping Shi College of William and Mary November 8, 2018 Neuron Neurons Neurons are cells in the brain and other subsystems
More information22.2. Applications of Eigenvalues and Eigenvectors. Introduction. Prerequisites. Learning Outcomes
Applications of Eigenvalues and Eigenvectors 22.2 Introduction Many applications of matrices in both engineering and science utilize eigenvalues and, sometimes, eigenvectors. Control theory, vibration
More informationThe double layer potential
The double layer potential In this project, our goal is to explain how the Dirichlet problem for a linear elliptic partial differential equation can be converted into an integral equation by representing
More informationTyn Myint-U Lokenath Debnath. Linear Partial Differential Equations for Scientists and Engineers. Fourth Edition. Birkhauser Boston Basel Berlin
Tyn Myint-U Lokenath Debnath Linear Partial Differential Equations for Scientists and Engineers Fourth Edition Birkhauser Boston Basel Berlin Preface to the Fourth Edition Preface to the Third Edition
More information4.3 - Linear Combinations and Independence of Vectors
- Linear Combinations and Independence of Vectors De nitions, Theorems, and Examples De nition 1 A vector v in a vector space V is called a linear combination of the vectors u 1, u,,u k in V if v can be
More informationIERCU. Dynamic Monopoly with Demand Delay
IERCU Institute of Economic Research, Chuo University 50th Anniversary Special Issues Discussion Paper No.15 Dynamic Monopoly with Demand Delay Akio Matsumoto Chuo University Ferenc Szidarovszky University
More informationStein s method and weak convergence on Wiener space
Stein s method and weak convergence on Wiener space Giovanni PECCATI (LSTA Paris VI) January 14, 2008 Main subject: two joint papers with I. Nourdin (Paris VI) Stein s method on Wiener chaos (ArXiv, December
More information1 Introduction. Green s function notes 2018
Green s function notes 8 Introduction Back in the "formal" notes, we derived the potential in terms of the Green s function. Dirichlet problem: Equation (7) in "formal" notes is Φ () Z ( ) ( ) 3 Z Φ (
More informationPath integrals and the classical approximation 1 D. E. Soper 2 University of Oregon 14 November 2011
Path integrals and the classical approximation D. E. Soper University of Oregon 4 November 0 I offer here some background for Sections.5 and.6 of J. J. Sakurai, Modern Quantum Mechanics. Introduction There
More informationRecall that any inner product space V has an associated norm defined by
Hilbert Spaces Recall that any inner product space V has an associated norm defined by v = v v. Thus an inner product space can be viewed as a special kind of normed vector space. In particular every inner
More informationKREYSZIG E Advanced Engineering Mathematics (10th ed., Wiley 2011) Chapter 11 - Fourier analysis
KREYSZIG E Advanced Engineering Mathematics (th ed., Wiley ) Chapter - Fourier analysis . CHAPTER Fourier Analysis 474 This chapter on Fourier analysis covers three broad areas: Fourier series in Secs...4,
More information/639 Final Exam Solutions, 2007
580.439/639 Final Exam Solutions, 2007 Problem Part a) Larger conductance in the postsynaptic receptor array; action potentials (usually Ca ++ ) propagating in the orward direction in the dendrites; ampliication
More information25.2. Applications of PDEs. Introduction. Prerequisites. Learning Outcomes
Applications of PDEs 25.2 Introduction In this Section we discuss briefly some of the most important PDEs that arise in various branches of science and engineering. We shall see that some equations can
More informationMATH 241 Practice Second Midterm Exam - Fall 2012
MATH 41 Practice Second Midterm Exam - Fall 1 1. Let f(x = { 1 x for x 1 for 1 x (a Compute the Fourier sine series of f(x. The Fourier sine series is b n sin where b n = f(x sin dx = 1 = (1 x cos = 4
More informationSupersymmetric Quantum Mechanics and Geometry by Nicholas Mee of Trinity College, Cambridge. October 1989
Supersymmetric Quantum Mechanics and Geometry by Nicholas Mee of Trinity College Cambridge October 1989 Preface This dissertation is the result of my own individual effort except where reference is explicitly
More informationRevision Checklist. Unit FP3: Further Pure Mathematics 3. Assessment information
Revision Checklist Unit FP3: Further Pure Mathematics 3 Unit description Further matrix algebra; vectors, hyperbolic functions; differentiation; integration, further coordinate systems Assessment information
More informationBOUNDARY-VALUE PROBLEMS IN RECTANGULAR COORDINATES
1 BOUNDARY-VALUE PROBLEMS IN RECTANGULAR COORDINATES 1.1 Separable Partial Differential Equations 1. Classical PDEs and Boundary-Value Problems 1.3 Heat Equation 1.4 Wave Equation 1.5 Laplace s Equation
More informationPartial Differential Equations (PDEs)
C H A P T E R Partial Differential Equations (PDEs) 5 A PDE is an equation that contains one or more partial derivatives of an unknown function that depends on at least two variables. Usually one of these
More informationENGI 3424 First Order ODEs Page 1-01
ENGI 344 First Order ODEs Page 1-01 1. Ordinary Differential Equations Equations involving only one independent variable and one or more dependent variables, together with their derivatives with respect
More informationLecture 10 : Neuronal Dynamics. Eileen Nugent
Lecture 10 : Neuronal Dynamics Eileen Nugent Origin of the Cells Resting Membrane Potential: Nernst Equation, Donnan Equilbrium Action Potentials in the Nervous System Equivalent Electrical Circuits and
More informationPreliminary Examination: Thermodynamics and Statistical Mechanics Department of Physics and Astronomy University of New Mexico Fall 2010
Preliminary Examination: Thermodynamics and Statistical Mechanics Department of Physics and Astronomy University of New Mexico Fall 2010 Instructions: The exam consists of 10 short-answer problems (10
More informationTravelling waves. Chapter 8. 1 Introduction
Chapter 8 Travelling waves 1 Introduction One of the cornerstones in the study of both linear and nonlinear PDEs is the wave propagation. A wave is a recognizable signal which is transferred from one part
More informationChem 3502/4502 Physical Chemistry II (Quantum Mechanics) 3 Credits Spring Semester 2006 Christopher J. Cramer. Lecture 7, February 1, 2006
Chem 350/450 Physical Chemistry II (Quantum Mechanics) 3 Credits Spring Semester 006 Christopher J. Cramer ecture 7, February 1, 006 Solved Homework We are given that A is a Hermitian operator such that
More informationNon-perturbative effects in ABJM theory
October 9, 2015 Non-perturbative effects in ABJM theory 1 / 43 Outline 1. Non-perturbative effects 1.1 General aspects 1.2 Non-perturbative aspects of string theory 1.3 Non-perturbative effects in M-theory
More informationTheory of PDE Homework 2
Theory of PDE Homework 2 Adrienne Sands April 18, 2017 In the following exercises we assume the coefficients of the various PDE are smooth and satisfy the uniform ellipticity condition. R n is always an
More informationSupratim Ray
Supratim Ray sray@cns.iisc.ernet.in Biophysics of Action Potentials Passive Properties neuron as an electrical circuit Passive Signaling cable theory Active properties generation of action potential Techniques
More informationIntroduction to Sturm-Liouville Theory and the Theory of Generalized Fourier Series
CHAPTER 5 Introduction to Sturm-Liouville Theory and the Theory of Generalized Fourier Series We start with some introductory examples. 5.. Cauchy s equation The homogeneous Euler-Cauchy equation (Leonhard
More information/639 Final Exam Solutions, H = RT ln(x e. ) + zfv i. = e (zfv +H )/RT
580439/639 Final Exam Solutions, 2012 Problem 1 Part a At equilibrium there must be no change in free energy of the consituents involved in the active transport For this system RT ln(x i + zfv i + H =
More information1 R.V k V k 1 / I.k/ here; we ll stimulate the action potential another way.) Note that this further simplifies to. m 3 k h k.
1. The goal of this problem is to simulate a propagating action potential for the Hodgkin-Huxley model and to determine the propagation speed. From the class notes, the discrete version (i.e., after breaking
More informationPhysics 250 Green s functions for ordinary differential equations
Physics 25 Green s functions for ordinary differential equations Peter Young November 25, 27 Homogeneous Equations We have already discussed second order linear homogeneous differential equations, which
More informationMECH 375, Heat Transfer Handout #5: Unsteady Conduction
1 MECH 375, Heat Transfer Handout #5: Unsteady Conduction Amir Maleki, Fall 2018 2 T H I S PA P E R P R O P O S E D A C A N C E R T R E AT M E N T T H AT U S E S N A N O PA R T I - C L E S W I T H T U
More informationChapter III. Quantum Computation. Mathematical preliminaries. A.1 Complex numbers. A.2 Linear algebra review
Chapter III Quantum Computation These lecture notes are exclusively for the use of students in Prof. MacLennan s Unconventional Computation course. c 2017, B. J. MacLennan, EECS, University of Tennessee,
More informationConvergence for periodic Fourier series
Chapter 8 Convergence for periodic Fourier series We are now in a position to address the Fourier series hypothesis that functions can realized as the infinite sum of trigonometric functions discussed
More information13 PDEs on spatially bounded domains: initial boundary value problems (IBVPs)
13 PDEs on spatially bounded domains: initial boundary value problems (IBVPs) A prototypical problem we will discuss in detail is the 1D diffusion equation u t = Du xx < x < l, t > finite-length rod u(x,
More informationX (z) = n= 1. Ã! X (z) x [n] X (z) = Z fx [n]g x [n] = Z 1 fx (z)g. r n x [n] ª e jnω
3 The z-transform ² Two advantages with the z-transform:. The z-transform is a generalization of the Fourier transform for discrete-time signals; which encompasses a broader class of sequences. The z-transform
More information1 Review of di erential calculus
Review of di erential calculus This chapter presents the main elements of di erential calculus needed in probability theory. Often, students taking a course on probability theory have problems with concepts
More informationUnit-1 Electrostatics-1
1. Describe about Co-ordinate Systems. Co-ordinate Systems Unit-1 Electrostatics-1 In order to describe the spatial variations of the quantities, we require using appropriate coordinate system. A point
More informationPreparation for the Final
Preparation for the Final Basic Set of Problems that you should be able to do: - all problems on your tests (- 3 and their samples) - ex tra practice problems in this documents. The final will be a mix
More informationHomework for Math , Fall 2016
Homework for Math 5440 1, Fall 2016 A. Treibergs, Instructor November 22, 2016 Our text is by Walter A. Strauss, Introduction to Partial Differential Equations 2nd ed., Wiley, 2007. Please read the relevant
More informationMath 200 University of Connecticut
RELATIVISTIC ADDITION AND REAL ADDITION KEITH CONRAD Math 200 University of Connecticut Date: Aug. 31, 2005. RELATIVISTIC ADDITION AND REAL ADDITION 1 1. Introduction For three particles P, Q, R travelling
More informationMATH : Calculus II (42809) SYLLABUS, Spring 2010 MW 4-5:50PM, JB- 138
MATH -: Calculus II (489) SYLLABUS, Spring MW 4-5:5PM, JB- 38 John Sarli, JB-36 O ce Hours: MTW 3-4PM, and by appointment (99) 537-5374 jsarli@csusb.edu Text: Calculus of a Single Variable, Larson/Hostetler/Edwards
More informationMATH 251 Final Examination December 16, 2014 FORM A. Name: Student Number: Section:
MATH 2 Final Examination December 6, 204 FORM A Name: Student Number: Section: This exam has 7 questions for a total of 0 points. In order to obtain full credit for partial credit problems, all work must
More informationMATH 251 Final Examination December 16, 2015 FORM A. Name: Student Number: Section:
MATH 5 Final Examination December 6, 5 FORM A Name: Student Number: Section: This exam has 7 questions for a total of 5 points. In order to obtain full credit for partial credit problems, all work must
More informationf(s) e -i n π s/l d s
Pointwise convergence of complex Fourier series Let f(x) be a periodic function with period l defined on the interval [,l]. The complex Fourier coefficients of f( x) are This leads to a Fourier series
More informationBessel functions. The drum problem: Consider the wave equation (with c = 1) in a disc with homogeneous Dirichlet boundary conditions:
Bessel functions The drum problem: Consider the wave equation (with c = 1) in a disc with homogeneous Dirichlet boundary conditions: u = u t, u(r 0,θ,t) = 0, u u(r,θ,0) = f(r,θ), (r,θ,0) = g(r,θ). t (Note
More information