Linear Algebra and Differential Calculus
Code  Completion  Credits  Range  Language 

F7ABBLAD  Z,ZK  6  2P+4C  English 
 Garant předmětu:
 Petr Maršálek
 Lecturer:
 Jiří Neustupa
 Tutor:
 Petr Maršálek, Jiří Neustupa, Jana Urzová
 Supervisor:
 Department of Natural Sciences
 Synopsis:

The course is introduction to differential calculus and linear algebra.
Differential calculus  sets of numbers, sequences of real numbers, real functions (function properties, limits, continuity and derivative of a function investigation of function behavior), Taylor's formula, real number series.
Linear algebra  vector spaces, matrices and determinants, systems of linear algebraic equations (solvability and solution), eigenvalues and eigenvectors of matrices, applications.
 Requirements:
 Syllabus of lectures:

1. Number sets, sequences, limit of sequence, convergence of sequence. Functions of one real variable, properties, operations with functions. composed function, inverse function.
2. Limit and continuity of function, rules for calculation of limits, infinite limits, righthand, lefthand limits.
3. Asymptotes, derivative, rules for calculation, derivative of composite function, inverse function, higher order derivative.
4. Differential of function and its application, properties of a function continuous on a closed interval, L'Hospital rule, implicit functions.
5. Local and global extrema, graph of function.
6. Taylor polynomial, number series, criteria of convergence, sum of series.
7. Gauss elimination method of solution of linear algebraic equation system (LAES). Vector spaces, subspaces, their properties.
8. Linear combinations of vectors, linear (in)dependence of vector system, base and dimension, scalar product.
9. Matrices, rank of matrix, product of matrices, inverse matrix, regular and singular matrices.
10. Permutation, determinant of a square matrix, Sarrus rule, calculation of inverse matrix.
11. Solution of LAES , Frobenius theorem, equivalent systems, structure of general solution of LAES, system with regular matrix, Cramer rule.
12. Coordinates of a vector in given baze. Eigen values and eigen vectors of a matrix. Angle of two vectors, scalar and vector product, application.
13. Some notes to analytical geometry of E2, E3 spaces, conics.
14. Recapitulation.
 Syllabus of tutorials:

1. Sequences, properties of sequences, limit of a sequence and calculation, elementary functions.
2. Operations with functions, properties, limit of a function, continuity.
3. Asymptotes of a function, inverse function, derivative of a function. Differential and its application for calculating approximate value of a function
4. Function and its intervals of monotony, L'Hospital's rule for calculating limits.
5. Investigation of function behavior, local and global extrema, convexity concavity, points of inflexion.
6. Taylor polynomial, number series, convergence/divergence of a series.
7. Gaussian elimination, linear independence/dependence of a set of vectors.
8. Vector spaces(VS) and subspaces(VSS), base and dimension of VS,VSS.
9. Matrices, algebraic operations on matrices, inverse of a matrix.
10. Calculation of determinant, Sarrus's rule.
11. Solvability and solution of a Linear Algebraic Equations system.
12. Coordinates of vector wrt given base, eigenvalues and eigenvectors of a square matrix.
13. Analytical geometry in a plane and in a space.
14. Application of determinants  Conic Sections and Quadrics classification.
 Study Objective:

The goal of the study is to learn fundamental topics of differential calculus and linear algebra and gain skills in solving relevant examples and real life problems corresponding to key subjects of the study program.
 Study materials:

[1] Neustupa, J. : Mathematics 1, textbook, ed. ČVUT, 2004
[2] Bubeník F.: Problems to Mathematics for Engineers, textbook, ed. ČVUT, 2007
[3] Stewart, J.: Calculus, 2012 Brooks/Cole Cengage Learning, ISBN13: 9780538498845
[4] http://mathonline.fme.vutbr.cz/?server=2
[5] http://ocw.mit.edu/courses/mathematics/1801scsinglevariablecalculusfall2010/
[6]http://ocw.mit.edu/courses/mathematics/1806sclinearalgebrafall2011/
 Note:
 Further information:
 https://predmety.fbmi.cvut.cz/en/17ABBLAD
 Timetable for winter semester 2023/2024:

06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri  Timetable for summer semester 2023/2024:
 Timetable is not available yet
 The course is a part of the following study plans:

 Prospectus  bakalářský (!)
 Biomedical Technology (compulsory course)
The course F7ABBPMS can be graded only after the course F7ABBLAD has been successfully completed.