PHY2025 |
Mathematics with Physical Applications |
2013-14 |
|
Dr F.Y. Ogrin |
|
|
Delivery Weeks: |
T1:01-11, T2:01-11
|
|
Level: |
5 (NQF) |
|
Credits: |
15 NICATS / 7.5 ECTS |
|
Enrolment: |
71 students (approx) |
|
Description
This module will enable the student to build on the knowledge and skills
developed in PHY1026 in order to achieve a deeper understanding of and
greater competence in some central mathematical ideas and techniques
used throughout physics. The emphasis is on practical skills rather than
formal proofs. Students will acquire skills in some key techniques that
relate directly to the advanced modules they will meet in the later
stages of their degree programme, but also have wide applicability
across the mathematical sciences.
Module Aims
This module pre-dates the current template; refer to the description above and the following ILO sections.
Intended Learning Outcomes (ILOs)
A student who has passed this module should be able to:
-
Module Specific Skills and Knowledge:
- use probability theory to solve problems;
- calculate Fourier transforms and use them to solve problems
- solve partial differential equations by separation of variables;
- calculate eignvalues and eigenvectors and apply the the techniques to physical problems;
- use basis vectors to transform differential operator
equations to matrix form and hence apply eigen equation techniques;
- obtain approximate solutions to differential
equations through the use of perturbation theory;
-
Discipline Specific Skills and Knowledge:
- apply analytical and numerical skills in mathematics;
-
Personal and Key Transferable / Employment Skills and Knowledge:
- formulate and tackle problems in a logical and systematic manner;
- present work clearly with justification of techniques and methods;
- work co-operatively with peers and with the demonstrators to solve guided problems.
Syllabus Plan
-
Probability theory
- Random variables
- Conditional probability
- Probability distributions
- Discrete
- Continuous
-
The Dirac delta-function
-
Fourier transforms including the convolution theorem
-
Solution of linear partial differential equations
- Simple second order differential equations and common varieties:
Harmonic oscillator, Schrödinger equation, Poisson's equation,
wave equation and diffusion equation.
- Separation of variables: The Laplacian family of equations in physics,
separation of variables, mechanics of the technique, form of solutions,
general solutions in series form, relation to Fourier series,
spatial boundary conditions, time dependence, initial conditions.
- Examples: rectangular drum, classical and quantum harmonic oscillator,
waves at a boundary, temperature distributions, wavepacket/quantum
particle in a box
- Role of symmetry: Cylindrical and spherical polar co-ordinates, appearance of
special functions. Use of special functions by analogy to sin, cos, sinh, cosh etc.
- Examples: circular drum, hydrogen wave function
-
Linear Algebra
- Revision: Row and column vectors, matrices, matrix algebra, the
solutions of systems of linear equations.
- Eigenvalue equations I: The matrix equation Ax=ax, solving the
matrix equation, the secular determinant, eigenvalues and
eigenvectors, canonical form, normal modes/harmonics, simple
coupled oscillators.
- Eigenvalue equations II: Properties of eigenvectors:
orthogonality, degeneracy, as basis vectors.
- Eigenvalue equations III: Differential equations as eigenvalue
equations and the matrix representation Ax=ax; choosing the
basis, solving the equation, the secular determinant,
eigenvalues and eigenvectors.
- Examples: classical coupled modes, Schrödinger wave
equation
- Approximate solutions to differential equations (perturbation
theory): use of eigenvectors, first- and second-order through
repeated substitution, problem of degeneracies.
- Examples: quantum particle in a well, a mass on drum, coupled
particles
Learning and Teaching
Learning Activities and Teaching Methods
Description |
Study time |
KIS type |
22×1-hour lectures |
22 hours
|
SLT |
8×2-hour self-study packages |
16 hours
|
GIS |
10×3-hour problems sets |
30 hours
|
GIS |
Problems class support |
11 hours
|
SLT |
Tutorial support |
3 hours
|
SLT |
Reading, private study and revision |
68 hours
|
GIS |
Assessment
Weight |
Form |
Size |
When |
ILOS assessed |
Feedback |
0% |
Exercises set by tutor |
6×30-minute sets (typical) |
Scheduled by tutor |
1-10 |
Discussion in tutorials
|
0% |
Guided self-study |
8×2-hour packages |
Fortnightly |
1-10 |
Discussion in tutorials
|
20% |
10 × Problems Sets |
3 hours per set |
Fortnightly |
1-10 |
Marked in problems class, then discussed in tutorials
|
15% |
Mid-term Test 1 |
30 minutes |
Weeks T1:06 |
1-9 |
Marked, then discussed in tutorials
|
15% |
Mid-term Test 2 |
30 minutes |
Weeks T2:06 |
1-9 |
Marked, then discussed in tutorials
|
50% |
Final Examination |
120 minutes |
May/June assessment period |
1-9 |
Mark via MyExeter, collective feedback via ELE and solutions. |
Resources
The following list is offered as an indication of the type & level of information that
students are expected to consult. Further guidance will be provided by the Module Instructor(s).
Core text:
Supplementary texts:
-
Constantinescu F. and Magyari E. (1971), Problems in Quantum Mechanics, Pergamon, ISBN 0-080-19008-1 (UL: 530.12 CON)
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Greiner W. (1994), Quantum Mechanics: An Introduction (3rd edition), Springer-Verlag, ISBN 3-540-58079-4 (UL: 530.12 GRE)
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James G. (1993), Advanced modern engineering mathematics, Addison-Wesley, ISBN 0-201-56519-6 (UL: 510.2462 JAM)
-
Spiegel M.R. (1971), Advanced Mathematics for Engineers and Scientists, Schaum Outline Series, McGraw-Hill, ISBN 0-070-60216-6 (UL: 510 SPI)
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Stroud K.A. (2007), Engineering Mathematics (6th edition), Paulgrave, ISBN 1-4039-4246-3 (UL: 510.2462 STR)
ELE:
Further Information
Prior Knowledge Requirements
Pre-requisite Modules |
Mathematics for Physicists (PHY1026) |
Co-requisite Modules |
none |
Re-assessment
Re-assessment is not available except when required by referral or deferral.
Original form of assessment |
Form of re-assessment |
ILOs re-assessed |
Time scale for re-assessment |
Whole module |
Written examination (100%) |
1-9 |
August/September assessment period |
Notes: See Physics Assessment Conventions.
KIS Data Summary
Learning activities and teaching methods |
SLT - scheduled learning & teaching activities |
36 hrs |
GIS - guided independent study |
114 hrs |
PLS - placement/study abroad |
0 hrs |
Total |
150 hrs |
|
|
Summative assessment |
Coursework |
20% |
Written exams |
80% |
Practical exams |
0% |
Total |
100% |
|
Miscellaneous
IoP Accreditation Checklist |
- MT-07 Solution of linear partial differential equations
- MT-12 Fourier series and transforms including the convolution theorem.
- MT-13 Probability distributions.
|
Availability |
unrestricted |
Distance learning |
NO |
Keywords |
Physics; Equation; Differentiation; Eigenvalue; Solution; Eigenvectors; Matrix; Probabilities; Wave; Variables; Differential equations. |
Created |
01-Oct-10 |
Revised |
01-Oct-11 |