- Docente: Annalisa Loviglio
- Credits: 3
- SSD: SECS-S/06
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Economics and Econometrics (cod. 5977)
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from Sep 04, 2023 to Sep 14, 2023
Learning outcomes
At the end of the course the student has reinforced the mathematical reasoning and acquired the necessary skills and ability to work on the mathematical structures of a wide range of economic models. In particular, he/she is able to experience the deep knowledge of a mathematical problem and to comprehend the rigorous logic on which it is based. Furthermore, he/she is able to: - determine and discuss the nature of stationary points of several variables functions, recurrence relations and differential equations, thereby deducing properties of models' steady states; - identify and interpret different kinds of economic dynamics and investigate the related models; - work with Linear Algebra basic tools to construct and solve problems involving eigenvalues and eigenvectors; - formulate Definitions of necessary tools such as equilibrium concepts to be applied in many economic frameworks such as Industrial Organization, Contract Theory, Voting Systems, Game Theory, Macroeconomic Theory; - write correct proofs of Propositions and Theorems.
Course contents
Linear spaces. Matrices, operations, rank and determinant. Inverse of a nonsingular square matrix. Linear systems, eigenvalues, eigenvectors, diagonalization theory.
Multivariate calculus. Functions of one and several real variables: continuity, convexity, quasi-convexity, (partial) derivatives, differentiability, tangent line/hyperplane, stationary points, Hessian matrix.
Constrained and unconstrained optimization. Methods of Lagrange's multipliers and Kuhn-Tucker Theory.
Time permitting: Differential equations. First order ordinary differential equations (separation of variables, linear equations). Difference equations
Readings/Bibliography
Suggested references:
Mathematics for Economists, Carl P. Simon, Lawrence Blume, Norton & Company, New York, London, 1994
M. Osborne's tutorial "Mathematical methods for economic theory", available online: https://mjo.osborne.economics.utoronto.ca/index.php/tutorial/index/1/toc
Teaching methods
Lectures at the university premises
Assessment methods
A final pass/fail test
Teaching tools
Textbook, slides and exercises
Office hours
See the website of Annalisa Loviglio
SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.