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COURSE 002. INTRODUCTORY MATHEMATICAL ECONOMICS Instructors: Abhijit Banerji and Sugata Bag

• A. Banerji, [email protected] ; Call: 27008100 Extn:110 Contact Hrs: 13.00 - 14.00 hrs on lecture days.

• Sugata Bag, [email protected]; Call: 27008100 Extn:115 Contact Hrs: 14.00 - 15.00 hrs on lecture days.

There will be 3 lectures per week, plus tutorials. The latter will be taken by Dr. Neha Gupta ([email protected]) and one other faculty member (to be assigned).

Time and Location: Room # Lecture Theatre.

Lecture Hours:

Monday 10.25-11.35 Wednesday 10.25-11.35 Thursday 10.25-11.35 Objectives.

(1) To learn some of the mathematical tools that frequently feed into Micro, Macro and Econometrics.

(2) (Ambitious) To acquire some mathematical sophistication.

Prerequisites. Mathematical content at the level of Sydsaeter and Ham- mond, the undergraduate Mathematics for Economics textbook in the Uni- versity of Delhi.

Description. There are 3 parts to the course.

1. Preliminaries, and Optimization (AB) 2. Linear Algebra (SB)

3. Differential Equations (AB)

There will be 2 midterm exams (in September and late October), and a final exam in November. Internal evaluation includes the midterm exam marks, and is worth 30 percent of overall marks.

Part 1. The main text we’ll use for this part is

Rangarajan Sundaram. 1996. A First Course in Optimization Theory. Cambridge University Press. (RS)

An alternative textbook that covers a lot of the same material is 1

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Carl Simon and L. Blume. 1994. Mathematics for Economists. Norton and Co.

We will not use this book, by and large, but this is a good book to read (on your own) if your Math is a bit shaky.

You may find RS hard even if your Math is not shaky, but I advise you to stay(and grow)with it. If it helps, you can quickly go through a chunk of Simon and Blume, on your own, at the same time. On the other hand, if you find RS quite doable (or a breeze), you may be under-challenged: you should then consider building up your real analysis foundations. Alternative texts include the ones by Shilov, baby Rudin, Apostol; or at a more advanced level, Efe Ok.

I will put out lecture notes on the course web page. Please work through the textbook and the notes with pencil and paper, and solve as many prob- lems from the textbook as you can, without referring to suggested solutions.

I will give out a problem set containing a subset of these problems.

Course Content for Part 1

(i) Preliminaries: Logical Implications, Sets, Relations, Functions etc. (RS - Appendix A).

(ii) Optimization: Existence of Optima; Unconstrained Optimization; Opti- mization with (a) Equality Constraints (b) Inequality Constraints; Envelope Theorem; Convexity and Optimization; and possibly, Parametric Continuity.

(RS- Chapters 1-6, a bit of chapters 7 and 9). We will begin the section on Optimization with some Real Analysis, and intersperse some more with the different subsections on optimization.

Part 2. Linear Algebra

The main textbooks for Part 2 are:

1. Treil,Sergei . 2010. Linear Algebra Done Wrong. (LADW)

[ebook available at http://www.math.brown.edu/˜treil/papers/LADW/book.pdf]

2. Strang, Gilbert. 2003. Linear Algebra And It’s Applications, (3rd Ed).

(GS)

TOPICS in Part 2:

1. Basic concepts of Linear Algebra (e.g. linear spaces, linear combinations, subspaces, basis, dimension, linear transformation, Fundamental theorem of linear algebra). Systems of linear equations. Spectral Theory. Inner Product Spaces (mainly Orthogonal Projections). Quadratic Forms. [Ref: - LADW, GS].

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While we will use both LADW & GS, it is difficult to pinpoint the source of every proof for every result. As with Part 1, Simon and Blume has a treatment of Linear Algebra. Alternative more advanced textbooks include those by Helson, and the classic by Halmos. Ordinarily, it is best to study from a single textbook, besides following and working through the lectures.

Part 3. Differential Equations Suggested textbooks.

• Simmons, George F. Differential Equations. (2nd edition)

• D. Leonard and N. van Long (1992). Optimal Control Theory and Static Optimization in Economics. CUP.

• D. Acemoglu (2009). Introduction to Modern Economic Growth. (Ap- pendix B).

Course Content for Part 3: Differential Equations.

Ordinary first order differential equations, systems of differential equa- tions (in particular, systems of 2 differential equations), Stability.

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