- Docente: Annalisa Loviglio
- Crediti formativi: 3
- SSD: SECS-S/06
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Economics and Econometrics (cod. 5977)
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dal 04/09/2023 al 14/09/2023
Conoscenze e abilità da conseguire
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.
Contenuti
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
Testi/Bibliografia
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
Metodi didattici
Lectures at the university premises
Modalità di verifica e valutazione dell'apprendimento
A final pass/fail test
Strumenti a supporto della didattica
Textbook, slides and exercises
Orario di ricevimento
Consulta il sito web di Annalisa Loviglio
SDGs

L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.