Course Identification

Differential Equations for Chemists
20242102

Lecturers and Teaching Assistants

Dr. Josephine Shamash
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Course Schedule and Location

2024
Second Semester
Sunday, 11:15 - 13:00, FGS, Rm A
Monday, 09:15 - 11:00, FGS, Rm A
07/04/2024
08/07/2024

Field of Study, Course Type and Credit Points

Chemical Sciences: Lecture; Core; 3.00 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): Lecture; 3.00 points

Comments

N/A

Prerequisites

No

Restrictions

15

Language of Instruction

English

Attendance and participation

Expected and Recommended

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

20%
80%

Evaluation Type

Examination

Scheduled date 1

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Scheduled date 2

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Estimated Weekly Independent Workload (in hours)

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Syllabus

 

1.         Complex numbers, convergence of complex sequences and series, complex             analytic functions, in particular the exponential function.

 

Ordinary Differential Equations

           

2.         First order ordinary differential equations: Approximating solutions with direction fields. Linear equations, separable equations, autonomous equations, integration factors. Modelling with first order equations, equilibrium solutions.

Existence and uniqueness theorem for first order ODEs.

Special cases of second order ODEs.

 

3.         Brief review of linear algebra. Homogeneous linear differential equations of order n with constant coefficients. Non-homogeneous linear differential equations: solving by the method of undetermined coefficients. Applications of results on second order linear homogeneous ODEs to mechanical and electrical vibrations.

 

4.         Homogenous systems of first order linear differential equations with constant coefficients. Applications to models: concentration of solutions etc. Two-point boundary value problems, eigenvalue problems.

 

            Partial Differential Equations

 

5.         Fourier series. Series solutions to differential equations.

 

6.         Solution to the heat equation on a finite rod by separation of variables. Other heat conduction problems with non-homogeneous boundary conditions. Green's functions solutions for PDEs: the heat equation on an infinite rod.

 

7.         The wave equation: vibrations of an elastic string and other models. Series solutions using separation of variables. The D'Alembert solution to the wave equation.

 

8.         The 2-dimensional heat equation (the Laplace equation) on a rectangle.

 

9.         Introduction to Sturm-Liouville theory.

 

Bibliography:

 

Arfken: Mathematical Methods for Physicists

Boas: Mathematical Methods in the Physical Sciences

Boyce and di Prima: Elementary differential equations and Boundary value                                 problems, 7th edition.

Edwards and Penney: Elementary differential equations with Boundary value                             problems.

Mathews and Walker: Mathematical Methods of Physics

Riley, Hobson and Bence: Mathematical Methods for Physics and Engineering

           

Evaluation:

Assignments: 20% of final grade. (Most assignments taken from Boyce and di Prima)

Final exam: 80% of final grade.

 

 

 

Learning Outcomes

Ability to solve first order differential equations of several types with different methods. Also higher order linear differential equations and first order linear systems of of ODEs.

Familiarity with .methods for solving some partial differential equations: using separation of variables and Fourier series, Green's functions, and the D'Alembert method.

Reading List

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Website

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