MA203-5-AU-CO:
Real Analysis

The details
2024/25
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Autumn
Undergraduate: Level 5
Current
Thursday 03 October 2024
Friday 13 December 2024
15
23 August 2024

 

Requisites for this module
MA101
(none)
(none)
(none)

 

MA213, MA302

Key module for

BSC L1G2 Economics and Mathematics (Including Placement Year),
BSC LG11 Economics and Mathematics,
BSC LG18 Economics and Mathematics (Including Foundation Year),
BSC LG1C Economics and Mathematics (Including Year Abroad),
BSC G100 Mathematics,
BSC G102 Mathematics (Including Year Abroad),
BSC G103 Mathematics (Including Placement Year),
BSC G104 Mathematics (Including Foundation Year),
MMATG198 Mathematics,
BSC 5B43 Statistics (Including Year Abroad),
BSC 9K12 Statistics,
BSC 9K13 Statistics (Including Placement Year),
BSC 9K18 Statistics (Including Foundation Year),
BSC G1G4 Mathematics with Computing (Including Year Abroad),
BSC G1G8 Mathematics with Computing (Including Foundation Year),
BSC G1GK Mathematics with Computing,
BSC G1IK Mathematics with Computing (Including Placement Year),
BSC G1F3 Mathematics with Physics,
BSC G1F4 Mathematics with Physics (Including Placement Year),
BSC G1F5 Mathematics with Physics (Including Foundation Year),
BSC GCF3 Mathematics with Physics (Including Year Abroad),
MSCIG199 Mathematics and Data Science

Module description

This is an introductory epsilon-delta analysis module. Students will develop their sense of rigour and precision.

Module aims

The aims of this module are:



  • To introduce the idea of epsilon-delta rigorous analysis.

  • To enhance students’ ability at understanding and writing proofs of results in real analysis.

  • To enhance students’ skills at using results of real analysis.

Module learning outcomes

By the end of the module, students will be expected to:



  1. Understand basic proofs and proof techniques in relation to real numbers, suprema and infima, limits (sequences, series and functions), continuity and differentiability.

  2. Be able to give proofs of some simple standard facts in rigorous real analysis.

  3. Be able to use these techniques on appropriate problems, including working out proofs of simple results related to the module.

Module information

Indicative syllabus:


Numbers systems such as the real and rational numbers. Basic properties of real numbers: field structure, order relation, triangle inequality, Archimedes' Axiom. (No formal construction of the real numbers). Suprema and infima. Dedekind's axiom and its use in proving that bounded-above, non-empty sets of reals have suprema.
Sequences and convergence. Sums, differences, scalar multiples, products and quotients of convergent sequences.
Cauchy sequences and the equivalence of the Cauchy property and convergence.
Series. Comparison and ratio tests. Absolute convergence implies convergence.
Power series and the radius of convergence.
Limits of functions, continuous functions of one real variable. Related results such as sums, products, quotients and compositions (chain rule).
Intermediate Value Theorem. Boundedness and attainment of bounds for continuous functions on closed bounded intervals.
Differentiable functions. Examples of differentiable and non-differentiable functions. Differentiable implies continuous.
Theorems related to continuous and differentiable functions, such as Rolle's Theorem and the Mean Value Theorem.

Learning and teaching methods

Teaching in the School will be delivered using a range of face-to-face lectures, classes, and lab sessions as appropriate for each module. Modules may also include online only sessions where it is advantageous, for example for pedagogical reasons, to do so.

Bibliography

The above list is indicative of the essential reading for the course.
The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students.
Further reading can be obtained from this module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Coursework   Assignment  20/11/2024   
Exam  Main exam: In-Person, Open Book (Restricted), 120 minutes during Summer (Main Period) 
Exam  Reassessment Main exam: In-Person, Open Book (Restricted), 120 minutes during September (Reassessment Period) 

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
20% 80%

Reassessment

Coursework Exam
20% 80%
Module supervisor and teaching staff
Dr Murat Akman, email: murat.akman@essex.ac.uk.
Dr Murat Akman & Dr Tao Gao
maths@essex.ac.uk

 

Availability
Yes
Yes
No

External examiner

Prof Stephen Langdon
Brunel University London
Professor
Dr Rachel Quinlan
National University of Ireland, Galway
Senior Lecturer in Mathematics
Resources
Available via Moodle
Of 31 hours, 31 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.

 

Further information

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