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Terminated in academic year 2017/2018

Mathematics A

Type of study Bachelor
Language of instruction English
Code 151-0500/02
Abbreviation Math A
Course title Mathematics A
Credits 5
Coordinating department Department of Mathematical Methods in Economics
Course coordinator RNDr. Pavel Rucki, Ph.D.

Subject syllabus

1. Introduction to mathematical logic and set theory - statement, proposition, logical connectives, quantifiers, necessary and sufficient conditions, set operations, number sets, intervals.

2. Real sequences – basic concepts, properties, arithmetic and geometric sequence and their application.

3. Real sequences – limit of a sequence, improper limit of a sequence, definition of Euler's number e.

4. Function of a single real variable – definition, domain and range, classification, graphs, even and odd functions, monotonic functions (strictly increasing, strictly decreasing).

5. Function of a single real variable – inverse functions, elementary functions, graph of a function and its transformation, points of intersection.

6. Function of a single real variable – continuous function, limit of a function at a point, properties of limits, one-sided limits.

7. Function of a single real variable – improper limit of a function, limit of a funciton at infinity, properties of continuous functions.

8. Function of a single real variable – derivative of a function, slope of a tangent line at a point, equation of a tangent line and normal line to a curve at a point, differentiation techniques, higher order derivatives.

9. Function of a single real variable - differential of a function, Rolle's and Lagrange'S Theorem, l'Hospital's Theorem, Taylor and Maclaurin polynomial.

10. Function of a single real variable - monotonoic function, local and global extrema of a function.

11. Function of a single real variable – convex and concave function, inflexion points, asymptotes - horizontal, vertical, oblique.

12. Linear algebra – matrix, matrix operation, rank of a matrix.

13. Linear algebra – determinant of a matrix, properties of determinant, Sarrus' scheme, Laplace's formula, inverse matrix, matrix equations.

14. Linear algebra – vector, vector operation, linearly independent vectors, vector spaces, inner product of vectors, length of a vector.

Literature

[1] SYDSAETER, K., HAMMOND, P. J. Mathematics for Economics Analysis. Pearson, 2002, ISBN 978-81-7758104-1 .
[2] HOY, M., LIVERNOIS, J., MCKENNA, Ch., REES, R., STENGOS, T. Mathematics for Economics. The MIT Press, London, 3rd edition, 2011, ISBN 978-0-262-01507-3.
[3] TAN, T.S. Single variable calculus: early transcendentals. Brooks/Cole Cengage Learning, Belmont, 2011, ISBN 978-1-4390-4600-5.

Advised literature

[1] CARVAJAL, Andrés M., HAMMOND, Peter J., STRØM, Arne, SYDSAETER, Knut. Essential mathematics for economic analysis. Pearson, 5th edition, 2016, ISBN 978-1-292-07461-0 .
[2] STOCKER, Christopher J., ZIEGLER, Michael R., BYLEEN, Karl E., BARNETT, Raymond A. College mathematics for business, economics, life sciences, and social sciences. Pearson, 14th edition, 2019, ISBN 978-0-13-467414-8 .