책 소개
도서 정보 출처: YES24“이 책의 가장 큰 특징은 다변수 미적분학을 계산 기법의 나열로 가르치지 않는다는 점이다. 대신 선형대수학, 기하학적 의미, 변수변환, 벡터해석, 그리고 물리 법칙을 하나의 연속적인 흐름 속에서 연결하여 설명한다.
미적분학 교재는 편미분, 중적분, 좌표변환, 선적분, 면적분, 그린 정리, 스토크스 정리, 그리고 발산 정리를 서로 독립된 계산 주제로 다루지만 이 책에서는 행렬, 선형사상, 도함수, 야코비안, 스케일링 인자, 좌표계, 선적분, 면적분, 플럭스, 컬, 발산, 그리고 보존 법칙을 각각 고립된 공식으로 제시하지 않고, 하나로 연결된 개념 체계의 구성 요소로 다룬다.
따라서 학생들은 단순히 ‘어떻게 계산하는가’뿐만 아니라 ‘왜 이러한 공식이 등장하는가’, ‘어떠한 구조 아래에서 이러한 계산이 가능한가’, 그리고 ‘이러한 개념들이 물리적 모형과 어떻게 연결되는가’를 반복적으로 접하며 이해할 수 있도록 돕는다.” - 저자의 말 중에서
목차
YES24 제공 목차Part I Vectors and Linear Functions
1 Multi-variable Vector-valued Functions (review) 3
1.1 Vectors and inner product 3
1.2 Domain, range, and codomain 7
1.3 Graphs, images, level sets, and contours 10
2 Matrix Multiplication and Determinant 15
2.1 Notation 15
2.2 Matrix multiplication 17
3 Matrix Multiplication and Linear Functions 23
3.1 Matrix multiplication (continued) 23
4 Eigenvalues and Composition of Linear Functions 31
4.1 Composition of linear functions 31
4.2 Eigenvalues and eigenvectors 35
5 Parallelotopes and Volume Scaling Factor 41
5.1 Cross product 41
5.2 Cubes and parallelotopes 44
5.3 Volume scaling factor and parallelotopes 46
Part II Derivative of Multi-variable Functions
6 Continuity of Multi-variable Functions 55
6.1 Limit and continuity in Rn 55
6.2 Discontinuous multi-variable functions 62
6.3 Composition of two functions 66
7 Directional and Partial Derivatives 69
7.1 Directional derivative 69
7.2 Partial derivative 72
7.3 Partial derivatives with constrained variables 75
7.4 Change of variables 78
8 Differentiability 83
8.1 Derivative matrix and gradient vector 83
8.2 Differentiability and derivatives 86
9 The Chain Rule 95
9.1 The chain rule 95
9.2 Zero-level set and graph of derivatives 100
10 Line Integral 109
10.1 Parametrized curves and chain rule 109
10.2 Directional derivative and chain rule 111
10.3 Line integral 114
11 Extreme Values 121
11.1 Extreme values and the Hessian matrix 121
11.2 Criterion for maximum, minimum, and saddle 124
11.3 Lagrange multiplier 129
12 Taylor’s Formula for Multi-Variable Functions 135
12.1 Taylor’s formula for one-variable functions 135
12.2 Higher order directional derivatives 137
12.3 Taylor’s formula for n-variable functions 139
Part III Integration of Multi-variable Functions
13 Double and Triple Integration on Rectangular Domains 147
13.1 Riemann integration in (a review) 147
13.2 Riemann integration in 149
13.3 Riemann integration in 152
13.4 Iterated integrals 153
14 Integration over General Domains 159
14.1 Two types of domains 160
14.2 Double integration 161
14.3 Triple integration 165
15 Integration with Variable Changes 171
15.1 Volume scaling factor 171
15.2 Linear approximation 174
16 Coordinate Systems 181
16.1 Variable change for multiple integrals 181
16.2 Polar coordinates 184
17 Cylindrical and Spherical Coordinates 191
17.1 Cylindrical coordinates 191
17.2 Spherical coordinates 195
18 Surface Integral 199
18.1 Functions on parameterized surfaces 200
18.2 Area scaling factor when 202
18.3 Surface integral 203
Part IV Integration of Vector Fields
19 Line Integral for Tangential Component 211
19.1 Line integral for a scalar function 211
19.2 Line integral for a force field 213
19.3 Path independence, potential, and conservative fields 217
20 Potential Field versus Fluid Flow 221
20.1 Potential field is conservative 221
20.2 Line integral and closed curves 223
20.3 Flow and circulation 226
21 Surface Integral for Normal Components 231
21.1 Surface integral for a scalar function 231
21.2 Surface, normal vector, and tangent plane 233
21.3 Surface integral for a vector field 235
22 Divergence Theorem 241
22.1 Boundary of curves and surfaces 241
22.2 Divergence and the divergence theorem 243
22.3 Divergence theorem in 249
23 Divergence Theorem and Conservation Laws 253
23.1 Flux and conservation laws 253
23.2 Mass conservation 256
23.3 Gauss law with concentrated charge density 259
24 Stokes’ Theorem 263
24.1 Curl of a vector field 263
24.2 Stokes’ theorem 265
25 Stokes’ Theorem and Applications 275
25.1 Simply connected domain 275
25.2 Examples 276
25.3 Faraday’s Law of Electromagnetic Induction 279
25.4 Maxwell Equations 280
Part V Appendix
26 Miscellaneous 287
26.1 Moments and Center of Mass 287
26.2 Green’s Theorem 289
26.3 The Speed of Light and the Problem of Coordinate Systems 290
27 Heat Equation and Diffusion Equation 293
27.1 Homogeneous Heat Equation 293
27.2 Nonlinear Heat Equation 296
27.3 Heat Equation in a Heterogeneous Environment 297
27.4 Random Walk and Diffusion Equation 299
Index 303
읽기 전에 생각해 볼 질문
- 목차의 「Part I Vectors and Linear Functions」 부분에서 어떤 개념이나 이야기를 확인하고 싶은가?
- 목차의 「1 Multi-variable Vector-valued Functions (review) 3」 부분에서 어떤 개념이나 이야기를 확인하고 싶은가?