Advanced Mathematical Economics
Main course materials
Please regularly check that you have the
latest version the lecture notes,
which were last updated at
10:02PM, Tuesday 26 of September.
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the old and new versions of the notes.
You can read the Assessment Guide and Practice Questions and Sample Solutions.
You can ask questions and get involved in discussions on the course's Piazza page.
Please check here regularly for updates. You might need to reload the page (Control-R or F5).
You can browse last year's course materials, which follow a similar schedule.
- 2nd December, 2022: Please nominate teaching staff that you found helpful for a teaching award. This is especially helpful for the tutors who will be looking for jobs.
- Week 10:
- The lecture this week will proceed as follows:
- Cantor intersection theorem (C.9), 10 minutes
- Application: iterated deletion of strictly dominated strategies (Practice Question 24 B vii), 25 minutes
- Application: Extreme punishments (C.11), 35 minutes.
- Homework review, 40 minutes.
- There are no videos this week.
- Homework: C.73, C.75, C.44, C.84, Practice Question 43 Part A (i).
- Please fill out the teaching survey .
- The lecture this week will proceed as follows:
- Week 9:
- The lecture this week will proceed as follows:
- Extreme value theorem lecture (about 25 minutes).
- Homework review (about 40 minutes).
- Q & A about compactness and other topics (about 40 minutes).
- Watch Compactness introduction (C9). You can read the whiteboard.
- Watch Bolzano-Weierstrass theorem (C9). You can read the whiteboard.
- In the first theorem in the Compactness introduction video, there is a mistake in the proof. The fact that (X, d) is compact implies that there is a subsequence whose limit y* lies in X (not K).
- Homework: C.65, C.66, C.67, C.68, practice question 45 A(i) and B(v).
- The lecture this week will proceed as follows:
- Week 8:
- In the lecture time, I will spend the first hour on last week's homework, and then I will answer questions about the videos. If we run out of time, please ask questions on Piazza.
- Watch Infinite horizon dynamic programming (4.3). You can read the whiteboard.
- I wrote Nr(x) instead of Br(x) when referring to an open ball of radius r. This is also common notation (N stands for "Neighbourhood").
- Homework: 4.4, 4.5, 4.6, C.54, Practice Question 37 B(vii) and A(i).
- Week 7:
- In the lecture time, I will first answer questions about the videos, and then I will go through the homework.
- Watch Complete spaces (C.7). You can read the whiteboard.
- Watch Banach's fixed point theorem (C.8). You can read the whiteboard.
- In the complete spaces lecture, in the proof of continuity, M and N should be the same letter.
- Homework: 4.2, C.46, C.48, C.45, C.57, C.58, C.61, Practice question 6 part (i).
- Week 6:
- In lecture, I will teach finite horizon dynamic programming (4.2).
- Watch Model formulation. You can read the whiteboard.
- Watch Continuity and open sets (C6). You can read the whiteboard.
- Watch Connected sets (C10). You can read the whiteboard.
- Homework: practice question 5(i), C.34, C.36, C.43, C.81, C.82.
- Note: I previously asked you to do question 4, but this was a mistake.
- Week 5:
- I reviewed a random sample of about 20 homework submissions from week 2 and week 3. All submissions that I looked at earned full points for effort.
- Watch Dynamic programming (2.4). You can read the whiteboard.
- Watch Continuity (C6). You can read the whiteboard.
- Homework: Practice question 2 parts (i) and (ii), C.17, C.23, C.30, C.38, C.40.
- Week 4:
- Week 3:
- Watch The firm's problem (2.2). Note: this lecture includes lots of non-examinable material about the chain rule and the implicit function theorem. You can read the whiteboard.
- Watch The envelope theorem (2.3). You can read the whiteboard.
- Watch Cauchy sequences (C2). You can read the whiteboard.
- Watch Getting Started - Weeks 3-4 (optional). Note: this is helpful for the week 3 homework.
- In the last step of the chain rule proof of the envelope theorem (minute 26), the partial derivative should be with respect to a, not b.
- In the lazy decision maker proof of the envelope theorem, I sometimes confused Rupert Murdoch's sons, Lachlan and James. Only James is relevant to the proof.
- Please submit your homework on Learn by clicking on Assessment and then Weekly Homework.
- Homework: C7, C10, C11, 2.6, 2.7, 2.9.
- Week 2:
- Watch Convergence (C2). You can read the whiteboard. Note: I have moved some material out of the Complete Spaces section into this section. I will cover this during the Tuesday lecture. Update: I decided to cover Cauchy sequences next week.
- Watch Production functions 1 (2.1). You can read the whiteboard.
- Watch Concave production functions (D and 2.1). You can read the whiteboard.
- Watch Getting started - Week 2 (optional).
- Tutorials begin this week. Tutorials are compulsory (except they are optional for mathmicro1 students). Please read the Tutorial Guide. If you are planning to come to the online tutorial, then please email me as soon as possible. We need to find a time that suits everyone.
- Homework: read Appendices E1 and E6, and do questions E1 and C5.
- I updated the Tutorial Guide. We have different tutors, we are not using Top Hat for attendance, and the Friday online tutorials will be on Learn rather than Teams.
- In the Convergence (C2) video, I wrote k instead of k² when proving that in the function convergence example.
- Week 1:
- Watch Naive Set Theory (B1, B2, B3). You can read the whiteboard.
- Watch Naive Set Theory (B4, B5, B6). You can read the whiteboard.
- Watch Metric Spaces (C1). You can read the whiteboard.
- Watch Getting started - introduction (optional).
- Watch Getting started - week one (optional).
- Please come to the Q&A session at 4:10pm on Tuesday, which will be recorded. To join, please go into Learn and click on Online Sessions on the left panel.
- I recommend you watch the logic videos from the preparation guide.
- Homework (optional): Questions B1-14, C1, C2.
- There is no tutorial this week, but please check back regularly for details.
- Please sign up for Piazza.
This course teaches some of the important mathematical tools used by economists. More importantly, the course's intensive structure with tutorials every week is designed to train students how to think like mathematicians. Specifically, how to use mathematical notation to write clearly, how to write proofs, how to find counter-examples to conjectures, how to transform complicated problems into simple and elegant problems, and how to think abstractly.
The course is available both to University of Edinburgh students (undergraduate, masters, PhD) and to Continuing Professional Development (Mathematical Economics) students who are not enrolled on any degree.
This course is primarily targeted at students who would like to prepare for post-graduate study in economics. Mathematics is essential for advanced study of economics, and many top MSc and PhD programmes require university-level training in mathematics for admission. In the past, students have also taken this course to prepare for study in other areas including mathematics, cognitive science, computer science, data science, and finance. On the other hand, admissions committees for MBAs and professionally-oriented finance degrees are unlikely to put a high value on this course.
I recommend that students follow the preparation guide which involves watching videos to refresh their high-school mathematics knowledge and learn a bit about logic; this is also a good opportunity to take the GRE test. The course draws on economics examples, so Economics 2 (or equivalent) is also required. Students who have already taken the three first-year undergraduate courses in mathematics (Introduction to Linear Algebra, Calculus and Its Applications, and Proofs and Problem Solving) are already well-prepared for post-graduate study, although might still benefit from this course. Joint honours students with mathematics are welcome to take this class, although I recommend they "spend" their two economics options on courses more focused on social problems.
The main reference is my lecture notes, which I am updating regularly. You can download the Latex source if you want to annotate or contribute improvements to the notes.
Half of every lecture will be on the language of mathematics and metric spaces. The other halves will be on calculus, convex analysis, and dynamic programming.
Some students like an extra reference, although it is unnecessary. A clickable reading list is available with the same books as below, via the library.
Half of every lecture will be on the language of mathematics and metric spaces. The closest book to my notes is Rosenlicht's (1968) "Introduction to Analysis". I recommend that everyone buy a copy of Rosenlicht's book.
For the calculus and convex analysis topics, the closest book to my notes is Boyd and Vandenberghe's (2004) "Convex Optimization". For the dynamic programming topic, the closest book is Stokey and Lucas' (1989) "Recursive Methods in Economic Dynamics".
You might also find these books helpful: Kolmogorov and Fomin's (1970) "Introductory Real Analysis", Angel de la Fuente's (2000) "Mathematical Methods and Models for Economists", and Luenberger's (1969) "Optimization by Vector Space Methods".A large part of the class is about writing proofs. This is an art in itself, and there are several books about this:
- Daepp and Gorkin's (2011) "Reading, Writing, and Proving: A Closer Look at Mathematics",
- Kane's (2016) "Writing Proofs in Analysis",
- Liebeck's (2015) "A Concise Introduction to Pure Mathematics",
- Oliveira and Stewart's (2015) "Building Proofs: A Practical Guide",
- Robert's (2010) "Introduction to Mathematical Proofs: A Transition",
- Solow's (2005) "How to read and do proofs: an introduction to mathematical thought process",
- Sundstrom's (2013) "Mathematical Reasoning: Writing and Proof" (open access),
- Velleman's (2006) "How to prove it: a structured approach".
The economics topics in my notes are closer to Varian and Kreps than MWG, but quite different from all of them.
MWG means Mas-Colell, Whinston and Green's (1995) "Microeconomic Theory". V means Varian's (1992) "Microeconomic Analysis". K means Kreps' (1990) "A Course in Microeconomic Theory". KK means Kreps' (2013) "Microeconomic Foundations 1: Choice and Competitive Markets". SL means Stokey and Lucas (1989), "Recursive Methods in Economic Dynamics". Debreu (1960) is Topological methods in cardinal utility theory.
- Production Functions See: V1, MWG5, K7.1
- Profit Maximization See: V2, MWG5, K7.2
- Upper Envelopes and Value Functions See: V3, SL4, MWG5, K7.2
- Cost Functions and Dynamic Programming See: V4, SL4, MWG5, K7.3, K.A.2
- Upper Envelopes with Constraints See: V5, SL4, MWG5, K7.3
- Utility Functions See: V7, MWG3, K2.1
- Utility Maximization See: V7, MWG3, K2.2
- Consumer’s Value and Policy Functions See: V7, MWG3, K2.2, K2.3
- Expenditure Function and Policy Functions See: V7, MWG3, K2.2, K2.3
- Slutsky Decomposition See: V8, MWG3, K2.3
- Time Preference See: Debreu (1960), V19, SL4, SL5, MWG20, KK2.5
- Economies See V17, V18, V19, MWG16, K6.1, K6.2
- Efficient Allocations See V17, V18, V19, MWG16, MWG22, K5.2
- Equilibrium See V17, V18, V19, MWG16, K6.1
- Characterising Equilibria See V17, MWG15, MWG16, MWG20, K2.2
- Efficiency of Equilibria See V17, MWG16, K6.3
- *Existence of Equilibria See V17, MWG17, K6.4
- Implementation of Efficient Allocations See V17, MWG16, K6.3
ProjectThere is a project which is:
- compulsory for all CPD students, i.e. students enrolled in ECNM11072 (due April, 2023), and
- optional for all one-semester visiting students (due December, 2022).
- Chapter 2 (Production) except the following:
- Quasi-concavity and upper contour sets.
- The constrained envelope theorem, i.e. none of Section 2.5.
- Production technology sets, i.e. none of Section 2.6.
- None of Chapter 3 (Consumption) is examinable.
- Chapter 4 (Time), except preference relations and Debreu's theorem.
- Of Chapter 5 (Equilibrium), only model formulation is examinable (which isn't really explained in the notes anyway).
- The content of Appendix B (Naive set theory) will not be examined directly. However, it is the language of mathematics and economics, so you should be familiar with all of it (except the section on cardinality).
- Appendix C (Topology), except for the open-cover approach to compactness. This means that Cantor's intersection theorem is examinable, but not the Heine-Borel theorem. Exam questions might ask you to apply topology ideas to simple economic problems (like the Extreme Punishment application in C.11) that we did not talk about these ideas in the course. Such questions will explain all of the economics you need to know. You do not need to study any extra economics applications. You might find Section C.11 helpful preparation.
- Appendix D (Convex Geometry) up to Theorem D.6, and also Definition D.7 and Theorem D.9. Specifically, upper contour sets, quasi-convexity/concavity are not examinable.
- Appendix E (Optimisation) you should understand intuitively, but you do not need to memorise the theorems.
Course quality and improvement
Only 13 students answered the mid-semester survey. Most students had very positive things to say about the course. The main suggestions for improvement were:
- more links to economics,
- more pictures,
- more class time spent on worked examples.
- Last year, I continued to record fresh lectures, so now almost the entire course has high-quality recordings that can be re-used every year. During the lecture time-slot, I did a combination of solving sample problems and Q&A (not just Q&A, as in the previous year). In the mid-semester survey, students said they thought this format worked well. I plan to continue this “flipped” class-room style, even with the pandemic gone.
I moved Cauchy sequences out of the Complete metric spaces section, and into the convergence section. Rationale: Cauchy sequences are an elementary topic that helps students understand convergence. They also provide a useful tool for proving a sequence is not convergent.
I went through every mathematical definition, and added (counter)-examples to illustrate what the definitions mean.
Throughout the year, students find many points of confusion in the notes, and mistakes in the sample solutions. I corrected these immediately.