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Mathematics I.A (E01A056)

Departments: | ústav technické matematiky (12101) | ||

Abbreviation: | Approved: | 06.02.2009 | |

Valid until: | ?? | Range: | 0P+0C |

Semestr: | * | Credits: | 4 |

Completion: | ZK | Language: | EN |

Annotation

In the course, greater emphasis is placed on the theoretical basis of the concepts discussed and on the derivation of basic relationships and connections between concepts. Students will also get to know the procedures for solving problems with parametric input. In addition, students will gain extended knowledge in some thematic areas: eigennumbers and eigenvectors of a matrix, Taylor polynomial, integral as a limit function, integration of some special functions.

Structure

1. Basics of linear algebra – vectors, vector spaces, linear independence of vectors, dimensions, bases.

2. Matrix, operation, rank. Determinant. Regular and singular matrices, inverse matrices.

3. Systems of linear equations, Frobenian theorem, Gaussian elimination method.

4. Eigennumbers and eigenvectors of a matrix.

5. Differential calculus of real functions of one variable. Sequence, monotony, limit.

6. Limit and continuity of a function. Derivation, geometric and physical meaning.

7. Monotonicity of a function, local and absolute extrema, convexity, inflection point. Asymptotes, graph of the function.

8. Taylor polynomial, remainder after n-th power. Approximate solution of the equation f(x)=0.

9. Integral calculus of real functions of one variable – indefinite integral, integration by parts, integration by substitution.

10. Definite integral, its calculation.

11. Application of a definite integral: surface area, volume of a rotating body, length of a curve, application in mechanics.

12. Numerical calculation of the integral.

13. Improper integral.

2. Matrix, operation, rank. Determinant. Regular and singular matrices, inverse matrices.

3. Systems of linear equations, Frobenian theorem, Gaussian elimination method.

4. Eigennumbers and eigenvectors of a matrix.

5. Differential calculus of real functions of one variable. Sequence, monotony, limit.

6. Limit and continuity of a function. Derivation, geometric and physical meaning.

7. Monotonicity of a function, local and absolute extrema, convexity, inflection point. Asymptotes, graph of the function.

8. Taylor polynomial, remainder after n-th power. Approximate solution of the equation f(x)=0.

9. Integral calculus of real functions of one variable – indefinite integral, integration by parts, integration by substitution.

10. Definite integral, its calculation.

11. Application of a definite integral: surface area, volume of a rotating body, length of a curve, application in mechanics.

12. Numerical calculation of the integral.

13. Improper integral.

Structure of tutorial

The same as lectures.

Literarture

Neustupa, J.: Mathematics I, CTU Publishing House, Prague, 1996,

Finney, R. L., Thomas, G.B.: Calculus, Addison-Wesley, New York, Ontario, Sydney, 1994

Finney, R. L., Thomas, G.B.: Calculus, Addison-Wesley, New York, Ontario, Sydney, 1994

Requirements

Knowledge of high school mathematics in the range of a real gymnasium.

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