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Differential calculus of functions of several variables

Code: 186318
ECTS: 8.0
Lecturers in charge: izv. prof. dr. sc. Ilja Gogić
prof. dr. sc. Josip Tambača
Lecturers: dr. sc. Aleksandar Bulj - Exercises
Ivan Puljiz , mag. math. - Exercises

1. komponenta

Lecture typeTotal
Lectures 45
Exercises 30
* Load is given in academic hour (1 academic hour = 45 minutes)
COURSE AIMS AND OBJECTIVES: The goal of the course is to introduce the structure of the Euclidean space Rn, continuity and differentiability of functions of several variables and the basic theorems of differential calculus.

1. Structure of Rn. Rn as a vector space and a metric space. Open and closed sets. Accumulation points, closure and boundary of sets. Sequences. Convergence. Bolzano - Weierstrass theorem. Sequential characterization of closed sets. Cauchy property for sequences. Completeness of Rn Banach fix point theorem. Compactness. Characterization of compactness in Rn. Lebesgue number. (4 weeks)
2. Continuity and limit. Real and vector functions of one and several variables. Continuity. Limit. Heine's characterization of continuity. Uniform continuity. Lipschitz functions. Continuous functions on compact sets. Paths and curves in Rn. Path connected sets. Connected sets. Surfaces in R3. (3 weeks)
3. Differential and derivatives. Linear approximation of a function - differential. Partial derivatives. Gradient. Jacobi matrix. Basic properties. Applications in geometry (tangent to a curve in Rn, tangent plane, ...). Higher order differentiability. Schwarz's theorem. The mean value theorem. Taylor's theorem. Minima and maxima. Implicit function theorem. Inverse function theorem. Consequences and applications. (6 weeks)
Basic notions are introduced and explained on examples at lectures. Specific problems and techniques for their solving are explained at tutorials.
Prerequisit for:
Enrollment :
Passed : Elementary mathematics 1
Passed : Linear algebra 2
Passed : Mathematical analysis 2
3. semester
Mandatory course - Regular study - Mathematics
Consultations schedule:


Link to the course web page: https://web.math.pmf.unizg.hr/nastava/difraf/