Course: Mathematical Analysis 3

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Course title Mathematical Analysis 3
Course code KMT/BKMA3
Organizational form of instruction Lecture + On-line Activities
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Dofková Radka, doc. PhDr. Ph.D.
  • Laitochová Jitka, doc. RNDr. CSc.
Course content
Differential calculus of functions of two or more variables. It is focused at applications of partial derivatives to find maxima and minima. Topics: n-dimensional space, metric space, Euclidean space. Neighborhood of n-dimensional space. Function of several variables. Domain and range. Geometric meaning of the function z = f (x, y). Limit of a function of several variables. Improper limit. Continuity of functions of several variables. Composite functions of several variables. Theorem on the continuity of composite functions. Partial derivatives of functions of several variables. Geometrical meaning of partial derivative of a function f (x, y). Higher partial derivatives. Schwarz theorem. Differentiable function. Complete differential. Geometrical meaning of the complete differential df(x, y). Complete differentials of higher orders. Partial derivatives of composite functions. Higher derivatives of a composite function. Taylor and Maclaurin's formula. Maxima, Minima, and Saddle Points. Fermat's theorem Sufficient conditions for local extrema. Implicit functions and their derivatives. Theorems on the existence of a derivative of an implicit function expressed by the equation F (x, y) = 0 and the equation F (x, y, z) = 0

Learning activities and teaching methods
Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook)
Learning outcomes
Differential calculus of functions of two or more variables. Applications of partial derivatives are demonstrated.
Finding extremas of functions of several real variables. Understanding the generalization of concepts introduced in calculus for functions of one variable to functions of several variables.
Prerequisites
In addition to high school mathematics is assumed knowledge of differential calculus of functions of one variable (Calculus 1).

Assessment methods and criteria
Mark, Oral exam, Written exam

Passing tests, elaboration of homeworks.
Recommended literature
  • Došlá, Z., Došlý, O. (2006). Diferenciální počet funkcí více proměnných.. Brno: Masarykova univerzita.
  • Došlá, Z., Plch, R., Sojka, P. (1999). Matematická analýza s programem Maple. Diferenciální počet funkcí více proměnných. Brno: Masarykova univerzita.
  • Hájek, J. (1993). Cvičení z matematické analýzy.Diferenciální počet funkcí více proměnných.. Brno: Masarykova univerzita.
  • Jarník, V. (1976). Diferenciální počet II.. Praha: Academia.
  • Škrášek, J. Tichý, Z. (1983). Základy aplikované matematiky II. Praha: SNTL.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester