Advanced Mathematical Economics

Main course materials

Please regularly check that you have the latest version the lecture notes, which were last updated at 3:35PM, Tuesday 01 of October. You can see what changed using Adobe Acrobat Pro on the uCreate computers in the library. Choose Tools -> Compare Documents, and select the PDFs containing 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.

News

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.

• Week 4:
  • We will cover the following topics in the lecture at a leisurely pace. If we run out out of time, please watch the videos for the bits we skipped:
    • Watch Comparative statics (finishing 2.3). You can read the whiteboard.
    • Watch Boundaries (C3). You can read the whiteboard.
    • Watch Closed sets (C4). You can read the whiteboard.
    • Watch Open sets (C5). You can read the whiteboard.
  • Homework: C.16, C.20, C.21, C.26, C.27, C.32, 2.11.
  • Quiz
• Week 3:
  • We will cover the following topics in the lecture at a leisurely pace. If we run out out of time, please watch the videos for the bits we skipped:
    • 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.
    • Errata:
      • 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.
  • You can submit your homework on Learn, or on paper at the start of the lecture.
  • Homework: C7, C10, C11, 2.6, 2.7, 2.9.
  • Quiz
• Week 2:
  • We will cover the following topics in the lecture at a leisurely pace. If we run out out of time, please watch the videos for the bits we skipped:
    • Watch Convergence (C2). You can read the whiteboard. Note: I have moved some material (about Cauchy sequences) out of the Complete Spaces section into this section. I will cover these next week.
    • Watch Production functions 1 (2.1). You can read the whiteboard.
    • Watch Concave production functions (D and 2.1), but not quasi-convexity and upper/lower contour sets. You can read the whiteboard.
  • Tutorials begin this week. Tutorials are compulsory (except they are optional for mathmicro1 students). Please read the Tutorial Guide.
  • Homework: read Appendices E1 and E6, and do questions E1 and C5.
  • Errata:
    • In the Convergence (C2) video, I wrote k instead of k² in the function convergence example.
  • Quiz
  • Please submit your homework on Learn by Tuesday 4:10pm.
• Week 1:
  • We will cover the following topics in the lecture at a leisurely pace. If we run out out of time, please watch the videos for the bits we skipped:
    • Watch Metric Spaces (C1). You can read the whiteboard.
  • Please watch these videos for background information:
    • Watch Naive Set Theory (B1, B2, B3). You can read the whiteboard.
    • Watch Naive Set Theory (B4, B5, B6). You can read the whiteboard.
  • I recommend you watch the logic videos from the preparation guide.
  • Homework (optional): Questions B1-14 from the lecture notes. Also, prove that the discrete metric (defined in section C.1) is a metric.
  • There is no tutorial this week, but please check back regularly for details.
  • Please sign up for Piazza.
  • Errata:
    • In the Convergence (C2) video, I wrote k instead of k² in the function convergence example.

Overview

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.

Extra Reference

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".

• 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.

1. Introduction
2. Production
   1. Production Functions   See: V1, MWG5, K7.1
   2. Profit Maximization   See: V2, MWG5, K7.2
   3. Upper Envelopes and Value Functions   See: V3, SL4, MWG5, K7.2
   4. Cost Functions and Dynamic Programming   See: V4, SL4, MWG5, K7.3, K.A.2
   5. Upper Envelopes with Constraints   See: V5, SL4, MWG5, K7.3
3. Consumption
   1. Utility Functions   See: V7, MWG3, K2.1
   2. Utility Maximization   See: V7, MWG3, K2.2
   3. Consumer’s Value and Policy Functions   See: V7, MWG3, K2.2, K2.3
   4. Expenditure Function and Policy Functions   See: V7, MWG3, K2.2, K2.3
   5. Slutsky Decomposition   See: V8, MWG3, K2.3
4. Time
   1. Time Preference   See: Debreu (1960), V19, SL4, SL5, MWG20, KK2.5
5. Equilibrium
   1. Economies   See V17, V18, V19, MWG16, K6.1, K6.2
   2. Efficient Allocations   See V17, V18, V19, MWG16, MWG22, K5.2
   3. Equilibrium   See V17, V18, V19, MWG16, K6.1
   4. Characterising Equilibria   See V17, MWG15, MWG16, MWG20, K2.2
   5. Efficiency of Equilibria   See V17, MWG16, K6.3
   6. *Existence of Equilibria   See V17, MWG17, K6.4
   7. Implementation of Efficient Allocations   See V17, MWG16, K6.3

Project

• compulsory for all CPD students, i.e. students enrolled in ECNM11072 (due April, 2025), and
• optional for all one-semester visiting students (due at noon on 4th of January, 2024).

Examinable Topics

• 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, or the Market for Lemons in C.12) 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 Sections C.11 and C.12 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

This year, we are planning a few improvements:

• We will add a short quiz (not for credit) at the start of each tutorial. This will help you clear up common points of confusion quickly.
• We will pilot having an undergraduate tutor who took the course last year. We hope this will help us become more responsive to students' needs.

In the last few years, student survey response rates have been very low, so possible selection bias has prevented us from inferring students' priorities for improvement. Nevertheless, we still look for ideas in student comments. It is helpful to make the feedback very specific, e.g. instead of "some of the pictures could have been presented more clearly", it would be better to write "The picture in the proof the CB(X) is complete in the notes is unclear, but the version from the video is much clearer." We realise it isn't always possible to be specific, but it's much easier to act on specific suggestions.