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MATHEMATICS (Математика) : учебное пособие. Направление подготовки 21.03.01 – Нефтегазовое дело. Бакалавриат (290,00 руб.)

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АвторыШиряева Н. В., Мараховский А. С.
Издательствоизд-во СКФУ
Страниц236
ID578738
АннотацияПособие составлено в соответствии с требованиями ФГОС ВПО и предназначено для обучения иностранных студентов основам математики. Пособие включает три раздела: курс лекций, практикум и методические рекомендации по организации самостоятельной работы. Рекомендовано для иностранных студентов, изучающих математику на английском языке
Кому рекомендованоПредназначено для обучения иностранных студентов основам математики
УДК51
ББК22.1
MATHEMATICS (Математика) : учебное пособие. Направление подготовки 21.03.01 – Нефтегазовое дело. Бакалавриат / Н. В. Ширяева, А. С. Мараховский .— Ставрополь : изд-во СКФУ, 2015 .— 236 с. — URL: https://rucont.ru/efd/578738 (дата обращения: 23.04.2024)

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МИНИCTEPCTBO ОБРАЗОВАНИЯ И НАУКИ РОССИЙСКОЙ ФЕДЕРАЦИИ ФЕДЕРАЛЬНОЕ ГОСУДАРСТВЕННОЕ АВТОНОМНОЕ ОБРАЗОВАТЕЛЬНОЕ УЧРЕЖДЕНИЕ ВЫСШЕГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ «СЕВЕРО-КАВКАЗСКИЙ ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ» MATHEMATICS (МАТЕМАТИКА) УЧЕБНОЕ ПОСОБИЕ Направление подготовки 21.03.01 – Нефтегазовое дело Бакалавриат Ставрополь 2015 1 УДК 51 (075.8) ББК 22.1 я73 М 34 Печатается по решению редакционно-издательского совета Северо-Кавказского федерального университета М 34 MATHEMATICS (Математика): учебное пособие / авт.-сост.: Н. <...> Торопцев © ФГАОУ ВПО «Северо-Кавказский федеральный университет», 2014 2 СHAPTER 1 Section 1. <...> Linear algebra and analytical geometry Topic 1. <...> This lecture is devoted to the discussion of the following concepts: matrix, matrix equality, matrix operations, transposes and symmetric matrices. <...> A matrix is a rectangular array of numbers. <...> For example, here is a matrix 3 12 5 17 иш жц зч - Definition VSM: Vector Space of mЧn Matrices. <...> The vector space M(mЧn) is the set of all mЧn matrices with entries from the set of complex numbers. <...> The above matrix is a 3 Ч 4 matrix because there are two rows and three columns. <...> The first row is (3 -1 2) , the second row is (5 -1 7) The first column is 3 5 жц. зч иш When specifying the size of a matrix, you always list the number of rows before the number of columns. <...> For example, 7 is in position 2, 3 because it is in the second row and the third column. <...> Whenever a theorem has a conclusion saying two matrices are equal (think about your objects), we will consider appealing to this definition as a way of formulating the toplevel structure of the proof. <...> Again, we will overload a symbol (`+') and a convention (juxtaposition for scalar multiplication). <...> Given the mЧn matrices A and B, define the sum of A and B as an mЧn matrix, written A+B, according to [A+B] ij = [A] ij +[B] ij , 1≤i≤m,1≤j≤n So matrix addition takes two matrices of the same size and combines them (in a natural way!) to create a new matrix of the same size. <...> As with vectors, in this context we call a number a scalar <...>
MATHEMATICS_(Математика)_Учебное_пособие._Направление_подготовки_21.03.01_–_Нефтегазовое_дело._Бакалавриат.pdf
УДК 51 (075.8) ББК 22.1 я73 М 34 Печатается по решению редакционно-издательского совета Северо-Кавказского федерального университета М 34 MATHEMATICS (Математика): учебное пособие / авт.-сост.: Н. В. Ширяева, А.С. Мараховский. – Ставрополь: Изд-во СКФУ, 2015. – 236 с. Пособие составлено в соответствии с требованиями ФГОС ВПО и предназначено для обучения иностранных студентов основам математики. Пособие включает три раздела: курс лекций, практикум и методические рекомендации по организации самостоятельной работы. Рекомендовано для иностранных студентов, изучающих математику на английском языке. УДК 51 (075.8) ББК 22.1 я73 Авторы-составители: канд. психол. наук, доцент Н. В. Ширяева, канд. физ-мат. наук, д-р. экон. наук, доцент А. С. Мараховский Рецензенты: канд. физ-мат. наук, профессор А. С. Адамчук, д-р. экон. наук, профессор Е. Л. Торопцев © ФГАОУ ВПО «Северо-Кавказский федеральный университет», 2014 2
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СHAPTER 1 Section 1. Linear algebra and analytical geometry Topic 1. Matrix. Matrix Operations Introduction. This lecture is devoted to the discussion of the following concepts: matrix, matrix equality, matrix operations, transposes and symmetric matrices. We begin with a definition of a totally general set of matrices, and see where that takes us. A matrix is a rectangular array of numbers. Several of them are re- ferred to as matrices. For example, here is a matrix 3 12 5 17 иш жц зч - Definition VSM: Vector Space of m×n Matrices. The vector space M(m×n) is the set of all m×n matrices with entries from the set of complex numbers. Just as we made, and used, a careful definition of equality for column vectors, so too, we have precise definitions for matrices. The size or dimension of a matrix is defined as m Ч n where m is the number of rows and n is the number of columns. The above matrix is a 3 Ч 4 matrix because there are two rows and three columns. The first row is (3 -1 2) , the second row is (5 -1 7) The first column is 3 5 æö. зч иш When specifying the size of a matrix, you always list the number of rows before the number of columns. Also, you can remember the columns are like columns in a Greek temple. They stand up right while the rows just lay there like rows made by a tractor in a plowed field. Elements of the matrix are identified according to position in the matrix. For example, 7 is in position 2, 3 because it is in the second row and the third column. Using this notation on the above matrix, a 23 = 7. 3 .
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СОДЕРЖАНИЕ СHAPTER 2 SECTION 1. Linear algebra and analytical geometry Topic 1. Matrix. Matrix Operations……………………………….. Topic 2. Matrix Multiplication……………………………………. Topic 3. Determinant of a Matrix ………………………………… Topic 4. Matrix Inverses and Systems of Linear Equations………. Topic 5. Systems of Equations, Algebraic Procedures (GaussJordan procedure)………………………………………. Topic 6. Systems of Equations……………………………………. Topic 7. The Cramer’s rule……………………………………….. Topic 8. А analytical geometry……………………………………. SECTION 2. Basic calculus Topic 9. Limits…………………………………………………….. Topic 10. Derivative and differential of a function……………….. Topic 11. Using derivatives in curve tracing……………………… SECTION 3. Differential calculation of multi-variable functions Topic 12. Multi-variable function. Derivatives and differentials of multi-variable functions………………………………… SECTION 4. Integral calculation of single-variable functions Topic 13. Indefinite integral………………………………………. Topic 14. Methods of integration…………………………………. Topic 15. Definite integral. Calculation of a definite integral……. Topic 16. Applications of a definite integral. Improper integrals… SECTION 5. Integral calculation of multi-variable functions Topic 17. Multiple integral………………………………………... Topic 18. Contour and surface integrals………………………….. 232 41 43 45 48 50 54 55 3 8 11 15 18 23 26 28 32 34 37
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SECTION 6. Differential equations Topic 19. Basic differential equations…………………………….. Topic 20. Liner differential equations…………………………….. SECTION 7. Elements of field theory Topic 21. Field theory……………………………………………... SECTION 8. Series Topic 22. Number series…………………………………………... Topic 23. Exponential and functional series………………………. SECTION 9. Elements of the complex variable function theory Topic 24. Complex variable function theory……………………… SECTION 10. Basics of probability analysis Topic 25. Probability theory………………………………………. Topic 26. Elements of mathematical statistics…………………….. GLOSSARY………………………………………………………. СHAPTER 2 SECTION 1. Linear algebra and analytical geometry Topic 1. Matrix. Matrix Operations………………………………. Topic 2. Matrix Multiplication……………………………………. Topic 3. Determinant of a Matrix…………………………………. Topic 4. Matrix Inverses and Systems of Linear Equations………. Topic 5. Systems of Equations, Algebraic Procedures. (GaussJordan procedure)……………………………………….. Topic 6. Systems of Equations…………………………………… Topic 7. The Cramer’s rule………………………………………. Topic 8. А analytical geometry…………………………………… SECTION 2. Basics of calculus Topic 9. The limit of a function at a point and infinity…………… Topic 10. Derivative and differential of a function………………. Topic 11. Using derivatives in curve tracing……………………… 233 58 60 63 66 69 73 78 80 83 86 87 88 93 96 98 100 102 115 120 123
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SECTION 3. Differential calculation of multi-variable functions Topic 12. Multi-variable function. Derivatives and differentials of multi-variable functions……………………………….. SECTION 4. Integral calculation of single-variable functions Topic 13. Indefinite integral………………………………………. Topic 14. Methods of integration…………………………………. Topic 15. Definite integral. Calculation of a definite integral……. Topic 16. Applications of a definite integral. Improper integrals… SECTION 5. Integral calculation of multi-variable functions Topic 17. Multiple integrals………………………………………. Topic 18. Contour and surface integrals…………………………... SECTION 6. Differential equations Topic 19. Basic differential equations…………………………….. Topic 20. Liner differential equations…………………………….. SECTION 7. Elements of field theory Topic 21. Field theory…………………………………………….. SECTION 8. Series Topic 22. Number series………………………………………….. Topic 23. Exponential and functional series………………………. SECTION 9. Elements of the complex variable function theory Topic 24. Complex variable function theory……………………… SECTION 10. Basics of probability analysis Topic 25. Probability theory………………………………………. Topic 26. Elements of mathematical statistics …………………… CHAPTER 3 SECTION 1. Linear algebra and analytical geometry Topic 1. Matrix. Matrix Operations……………………………….. Topic 2. Matrix Multiplication……………………………………. Topic 3. Determinant of a Matrix…………………………………. 234 179 180 182 132 133 137 139 140 145 148 153 155 157 164 168 170 174 175
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Topic 4. Matrix Inverses and Systems of Linear Equations………. Topic 5. Systems of Equations, Algebraic Procedures (GaussJordan procedure)………………………………………. Topic 6. Systems of Equations……………………………………. Topic 7. The Cramer’s rule……………………………………….. Topic 8. Аnalytical geometry……………………………………... SECTION 2. Basics of calculus Topic 9. Limits……………………………………………………. Topic 10. Derivative and differential of a function ……………… Topic 11. Using derivatives in curve tracing……………………… SECTION 3. Differential calculation of multi-variable functions Topic 12. Multi-variable function. Derivatives and differentials of multi-variable functions………………………………... SECTION 4. Integral calculation of single-variable functions Topic 13 Indefinite integral……………………………………….. Topic 14. Methods of integration…………………………………. Topic 15. Definite integral. Calculation of a definite integral……. Topic 16. Applications of a definite integral. Improper integrals… SECTION 5. Integral calculation of multi-variable functions Topic 17. Multiple integral………………………………………... Topic 18. Contour and surface integrals …………………………. SECTION 6. Differential equations Topic 19. Basic differential equations…………………………….. Topic 20. Liner differential equations…………………………….. 211 212 217 218 221 224 227 228 230 183 185 186 187 189 191 194 207 235
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