Mathematical method for economic analysis I

Syllabus

1st October 4th pp.1-7 integers, rationals, real, R^n, sets, sequences, convergence
2nd 18th pp.7-21 bounded, unbounded, subsequences, limit points, Cauchy sequences
completeness, suprema, infima maxima, minima, monotone sequences
lim sup, lim inf
3rd 25th pp.22-29 open balls, open sets, closed sets, bounded sets, compact sets
convex combinations, convex sets, unions, intersections
4th November 1st pp.30-41 matrices, sum, product, transpose, square matrix, diagonal matrix
identity matrix, lower (upper) triangular matrix, rank, determinant, inverse
5th 8th pp.41-52 functions, continuous functions, differentiable, continuously differentiable functions
partial derivatives, higher order derivatives, quadratic forms
6th 15th pp.74-82 optimization problem, parametric form, utility maximization, expenditure minimization
profit maximization, cost minimization, consumption-leisure choice, portfolio choice
7th 25th pp.82-91 pareto optima, optimal provision of public goods, optimal commodity taxation
the object of optimization theory, a roadmap, the Weierstrass Theorem
8th 29th pp.92-97 the Weierstrass Theorem
9th December 6th pp.100-111 unconstrained optima, first-order conditions, second-order conditions
10th 13th pp.112-117 constrained optimization problems, equality constraints, Theorem of Lagrange
constraint qualification, Lagrange multipliers
11th 20th pp.117-124 second-order conditions, cookbook procedure for the equality-constrained optimization problem
12th 27th pp.125-135 examples for the Theorem of Lagrange
13th January 17th pp.145-152 the Theorem of Kuhn and Tucker
14th 24th pp.152-161 examples of the Theorem of Kuhn and Tucker
15th 31th cancelled