Czech

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Institute of Mathematics and Descriptive Geometry (MAT)

After passing the course students will have necessary skills for performing operations with vectors defined either generally or by their coordinates. Except this application of vectors in the spherical trigonometry will be deeply explained. The next outpiuts are: application of vector calculus in metrix and positional problems in analytical geometry, operations with matrices and solving systems of linear algebraic equations.
Bringing off basic differential calculus will permit successfully analyse problems of behavior of analytical curves.

Basics of mathematics as taught at secondary schools. Graphs of elementary functions (powers and roots, quadratic function, direct and indirect proportion, absolute value, trigonometric functions) and basic properties of such functions. Simplifications of algebraic expressions.

Definition of a geometric vector and basics of 3D analytic geometry (parametric equations of a straight line, dot product of vectors and its applications to metric and positional problems). Identifying the the types and basic properties of conics, sketching graphs of conics)

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1. Matrices, systems of linear algebraic equations, Gaussian elimination method.
2. Inverse matrix, determinants.
3. Geometrical vectors in three dimensional Euclidean space, operations with vectors.
4. Applications of vector calculus in spherical trigonometry.
5. Vector space, basis, dimension, coordinates of a vector.
6. Eigenvalues and eigenvectors of a matrix.
7. Application of vector calculus in analytic geometry.
8. Real function of one real variable, explicit and parametric expression of a function. Basic properties of functions. Composite fuction and inverse function. Elementary functions (including inverse trigonometric functions and hyperbolic functions).
9. Polynomials and rational functions.
10. Sequences and their limits, limit and continuity of a function.
11. Derivative of a function, its geometrical and physical meaning, derivation rules. Derivative of a composite function and of an inverse function. Derivatives of elementary functions.
12. Derivatives of higher order, geometrical meaning of first order and second order derivatives for sketching the graph of a function, l Hospital's rule, asymptotes.
13. Properties of functions continuous on an interval. Basic theorems of differential calculus (the Rolle and Lagrange theorems). Differential of a function. Taylor's theorem. Derivative of a function given in a parametric form.

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Being able to compute with matrices, performing elementary transactions, and calculating determinants, solving systems of linear algebraic equations by Gauss elimination method. Getting acquainted with the general properties of geometric vectors, without using coordinates. Knowing all about the dot, cross, and scalar triple products of geometric vectors, understanding their role in spherical trigonometry. Being able to apply such products when solving metric and positional problems in 3D analytic geometry. Understanding the basic ideas of the calculus of one- and two-functions including geometric interpretations of some concepts. Mastering differentiation, being able to sketch the graph of a function.

Extent and forms are specified by guarantor’s regulation updated for every academic year.

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Dlouhý O., Tryhuk V.: Diferenciální počet I, Limita a spojitost funkce. FAST - studijní opora v intranetu, 2005. (CS)
Dlouhý, O., Tryhuk, V.: Diferenciální počet funkce jedné reálné proměnné. FAST, 2008. (CS)
Dlouhý O., Tryhuk V.: Diferenciální počet I, Derivace funkce. FAST - studijní opora v intranetu, 2005. (CS)
Larson R., Hostetler R.P., Edwards B.H.: Calculus (with Analytic Geometry). Brooks Cole, 2005. (EN)
Novotný, J.: Základy lineární algebry. FAST - studijní opora v intranetu i tištěné texty, 2005. (CS)
Tryhuk, V., Dlouhý, O.: Vektorový počet a jeho aplikace. FAST - studijní opora v intranetu, 2005. (CS)

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