Faculty of Economics and Business

BACHELOR IN ECONOMICS SECOND YEAR Course

Mathematics III

Code

802353

Module

Quantitative Methods

Area

Advanced mathematics

Nature

Compulsory

Attendance

2,7

Non Attendance

3,3

Semester

3

Credits

6

Year

2

COORDINATION DEPARTMENT Fundamentos del Análisis Económico I

COORDINATOR AND CONTACT María Jesús Moreta; [email protected]

% OF TOTAL CREDITS

ATTENDANCE

Lectures

30%

100%

Classes

10%

50%

Tutorials

6%

100%

Assessment activities

4%

100%

Homeworks and class assignments

20%

0%

Time to study

30%

0%

TEACHING ACTIVITIES

SYNOPSIS

Faculty of Economics and Business

BRIEF DESCRIPTION 1. Formulation, resolution and discussion of multivariable optimization problems with different types of constraints as the basic models for decision making in static economic environments.

2. Introduction to the basic theory of one and two dimensional dynamical systems and its role in modeling time-evolving economic phenomena.

PRE-REQUISITES Mathematics I and II

OBJECTIVES Formulate and solve prototype models of economic theory both static and dynamic as mathematical problems of optimization or dynamical equations, interpreting the obtained solutions and their properties from a careful mathematical analysis.

COMPETENCES Generals: CG1, CG2, CG4 Transversals: CT1,CT2,CT3 Specifics: CE8, CE9

LEARNING METHODOLOGY A mixed methodology of teaching and learning will be used in all educational activities with the aim of encouraging students to develop a collaborative and cooperative attitude in the pursuit of knowledge.

TOPICS COVERED (Syllabus) Unit 0. Introduction. Economics, derivatives and optimization. Static and dynamic problems. Solutions and their interpretation. Economic examples. PART 1: Static Optimization Unit 1. Multivariable optimization I (Basics) Local and global extrema. Extreme value theorem. Graphical method of solution. Convex sets. Concave functions. Quasiconcave functions. Global theorem of concave programming. Unit 2 Multivariable optimization II (Unconstrained problems) Necessary conditions for local interior optima. Saddle points. Second order conditions. Convex problems and global optima. Parametric problems. Comparative statics. Envelope theorem. Unit 3. Multivariable optimization III (Constrained problems). Problems with equality constraints. Lagrange necessary conditions Lagrange multipliers. General constrained problems. Sign of multipliers. Kuhn-Tucker conditions. Parametric

Faculty of Economics and Business problems. Envelope theorem. PART 2: Dynamical Systems Unit 4.-First-order equations in discrete time Difference equations. Autonomous equations. Solutions and their properties. Existence and uniqueness of solution. Linear case. Population growth. Loans and Mortgages Cobweb model. Unit 5.- First-order equations in continous time Differential equations. Autonomous equations. Solutions and their properties. Existence and uniqueness of solution. Linear equation. Linear growth. Economic applications. Nonlinear equations. Logistic growth. Phase diagram. Equilibria: location and stability. Solow model. Unit 6.- Dynamical problems in two variables. Linear systems in two dimensions: continuous dynamics. Examples. Equilibria and stability. Algebraic conditions for equilibrium stability. Second-order dynamical equations as first-order dynamical systems.

ASSESSMENT Exams

% Share of Final Grade

50 %

% Share of Final Grade

40%

% Share of Final Grade

10%

Final Exam 50%

Other Activities Midterm Exam 30% Assigned problem sets (5/6) 10%

Other activities

Active participation in the classroom or in seminars and carrying out and presentation of individual or group projects 10%

EVALUATION CRITERIA A minimum score of 3.5 in the final exam is required to pass the course. In the “convocatoria ordinaria” a student will be considered “presentado” if he/she fulfills the course requirements up to the point indicated by the professor. In the “convocatoria extraordinaria” a student will be considered “presentado” if he/she takes the final exam.

Continuous assessment in the extraordinary examination: in case one student has failed the ordinary examination, having attended the final exam and participated in the continuous assessment, the mark to be considered as continuous assessment for that extraordinary examination will be the final mark obtained in the ordinary examination.

Faculty of Economics and Business

TIMETABLE [15 weeks = 30 class sessions with 5/6 seminars] Week/day

unit

class content

seminar content

1

9/11

0

Economics, derivatives and optimization. Static and dynamic problems. Solutions and their interpretations. Economic Examples.

2

9/16 9/18

1

Local and global optima. Weierstrass Theorem. Properties of the gradient. The formula

3

9/23 9/25

1

Convex sets. Concave functions. Quasiconcave functions.

4

9/30 10/2

2

Concave programming. SEMINAR

5

10/7 10/9

2

Necessary conditions for local extreme interior points. Saddle points. Second order conditions. Convex problems

6

10/14 10/16

2

7

10/21 10/23

3

8

10/28 10/30

3

9

11/4 11/6

4

10

11/11 11/13

4

Loans and Mortgages Cobweb model.. MIDTERM EXAM

I

11

11/18 11/20

4

Differential equations. Autonomous equations. Solutions and their properties. Existence and uniqueness of solution. SEMINAR

ProbSet #4: Dynamics I

12

11/25 11/27

5

13

5

14

12/2 12/4 12/9 12/11

15

12/16 12/18

6

T Dv f (x 0 )  f (x 0 ) v .Graphical method.

6

Problems depending on parameters. Comparative statics. Value function. Envelope theorem. Comparative statics of the competitive firm. SEMINAR Problems with equality constraints. Solving by substitution. Lagrange necessary condition. Lagrange multipliers General constrained problems. Sign of multipliers. Parametric problems. Envelope theorem. SEMINAR Difference equations. Autonomous equations. Solutions and their properties. Existence and uniqueness of solution. Linear case. Population growth

.

ProbSet #1. Optimization I

ProbSet #2: Optimization II

ProbSet #3: Optimization III

Linear equation. Linear growth. Economic applications Nonlinear equations. Logistic growth. Phase diagram Equilibria: location and stability. Solow model Linear systems in two dimensions: continuous dynamics. Equilibria and stability. Algebraic conditions for stability. Dynamically invariant subspaces. Examples. Second-order dynamical equations as first-order dynamical systems SEMINAR

ProbSet #5: Dynamics II.

Faculty of Economics and Business

RESOURCES BOOK LIST K. Sydsaeter and P.J. Hammond (2008). Essential Mathematics for Economic Analysis. Prentice-Hall, 3rd ed. C.P. Simon and L. Blume (1994). Mathematics for economists.WW Norton adn Co. K. Sydsaeter, P. Hammond, A. Seierstad, A. Strom, Further Mathematics for Economic Analysis, Prentice Hall, 2005. Simon C.P. y Blume L. Mathematics for Economist. Norton 1994.

OTHER RESOURCES

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