现在流行用Exterior Caculus, 所以个人觉得Matthews这本书有点过时了。

想学Vector Calculus的话,推荐《Vector Calculus, Linear Algebra, and Differential Forms》,网上有第一版的电子版。虽然出到了第五版,但貌似vector caculus 和differential forms的部分没有什么改动。所以个人觉得用第一版学习vector caculus足以。

-----------------------------------

http://book.douban.com/annotation/36251494/

<<Vector Calculus>>
by Paul C, Matthews

P4

Since the quantity of |b|*cosθ represents the component of the vector b in thedirection of the vector a, the scalar a * b can be thought of as the magnitudeof a multiplied by the component of b in the direction of a

P7

the general form of the equation of a plane is: r * a = constant.

P11

| e1 e2 e3 |
a x b=| a1 a2 a3 |
          | b1 b2 b3 |

v = Ω x r

P24

The equation of a line is: r = a + λu

The second equation of a line is: r x u = b = a x u

----------------------------------------------------

1.4 Scalar triple product ([a, b, c])

The dot and the cross can be interchanged:[a, b, c]≡a * b x c = a x b * c

The vectors a, b and c can be permuted cyclically:a * b x c = b * c x a = c * a x b

The scalar triple product can be written in the form of a determinant:

| a1 a2 a3 |
a * b x c=| b1 b2 b3 |
               | c1 c2 c3 |

If any two of the vectors are equal, the scalar triple product is zero.

--------------------------------------------------------

1.5 Vector triple product     a x (b x c)

a x (b x c) = (a * c)*b - (a * b)*c

(a x b) x c = -(b * c)*a + (c * a)*b

--------------------------------------------------------

1.6 Scalar fields and vector fields

A scalar or vector quantity is said be a field if it is a function of position.

--------------------------------------------------------

2.2.3 Conservative vector fields

A vector field F is said to be conservative if it has the property that the line integral of F around any closed curve C is zero:

An equivalent definition is that F is conservative if the line integral of Falong a curve only depends on the endpoints of the curve, not on the pathtaken by the curve

--------------------------------------------------------

2.3.2

3.1.2 Taylor series in more than one variable

3.2 Gradient of a scalar field

The symbol ∇ can be interpreted as a vector differential operator,where the term operator means that ∇ only has a meaning when it acts on some other quantity.

Theorem 3.1

Suppose that a vector field F is related to a scalar field Φ by F = ∇Φ and ∇ exists everywhere in some region D. Then F is conservative within D.Conversely, if F is conservative, then F can be written as the gradient of a scalar field, F = ∇Φ.

If a vector field F is conservative, the corresponding scalar field Φ which obeys F = ∇Φ is called the potential(势能) for F.

--------------------------------------------------

3.3.2 Laplacian of a scalar field


3.3.2 Laplacian of a scalar field

4.3 The alternating tensor εijk

5.1.1 Conservation of mass for a fluid

6.1 Orthogonal curvilinear coordinates

P100

Suppose a transformation is carried out from a Cartesian coordinate system (x1, x2, x3) to another coordinate system (u1, u2, u3)

e1 =(∂x/∂u1) / h1, h1 = | ∂x/∂u1 |

e2 =(∂x/∂u2) / h2, h2 = | ∂x/∂u2 |

e3 =(∂x/∂u3) / h3, h3 = | ∂x/∂u3 |

dS = h1 * h2 * du1 * du2

dV = h1 * h2 * h3 * du1 * du2 * du3

------------------------------------------------------------------

相关内容在《微积分学教程(第三卷)》(by 菲赫金哥尔茨)里使用Jacobi式阐述的:

16章

$4. 二重积分中的变量变换

603.平面区域的变换

604.例1)(极坐标的例子)

605.曲线坐标中面积的表示法

607.几何推演

609.二重积分中的变量变换

17章 曲面面积,曲面积分

619. 例2 (引入A,B,C)

626 曲面面积的存在及其计算

629 例14)球面极坐标的计算

18章 三重积分及多重积分

$3 三重积分中的变量变换

655. 空间的变换及曲线坐标

656 例1 圆柱坐标,例2球坐标

657 曲线坐标下的体积表示法 (得出曲面坐标下的体积元素)

659 几何推演

661 三重积分中的变量变换

------------------------------------------------------------------

Summary of Chapter 6

The system (u1, u2, u3) is orthogonal if ei * ej = δij.

------------------------------------

7. Cartesian Tensors

7.1 Coordinate transformations

A matrix with this property, that its inverse is equal to its transpose, is said to be orthogonal。

So far we have only considered a two-dimensional rotation of coordinates. Consider now a general three-dimensional rotation. For a position vector x = x1e1 + x2e2 + x3e3,

x' = e'i * x (x在e'i上的投影) = e'i * (e1*x1 + e2*x2 + e3*x3) = e'i * ei*xi

xi = Lji * x'j ..........................(7.6)

7.2 Vectors and scalars

A quantity is a tensor if each of the free suffices transforms according to the rule (7.4).Lij * Lkj = δik

7.3.3 Isotropic tensors

The two tensors δij and εijk have a special property. Their components are the same in all coordinate systems. A tensor with this property is said to be isotropic.

7.4 Physical examples of tensors

7.4.1 Ohm's law

This is why δik is said to be an isotropic tensor: it represents the relationship between two vectors that are always parallel, regardless of their direction.

----------------------------------------------

8 Applications of Vector Calculus

----------------------------------------------

----------------------------------------------

8.5 Fluid mechanics

----------------------------------------------

----------------------------------------------

----------------------------------------------

----------------------------------------------

Example 8.12

Choosing the x-axis to be parallel to the channel walls, the velocity u hasthe form u = (u, 0, 0). As the fluid is incompressible(所有点的速度(沿x轴)相同), ∇u = 0, so ∂u/∂x = 0.

<Vector Calculus>(by Paul C, Matthews) Notes的更多相关文章

  1. <<Vector Calculus>>笔记

    现在流行用Exterior Caculus, 所以个人觉得Matthews这本书有点过时了. 想学Vector Calculus的话,推荐<Vector Calculus, Linear Alg ...

  2. Vector Calculus

    Vector Fields Vector Function F(x,y,...)=P(x,y)i + Q(x,y)j + ... = <P(x,y), Q(x,y), ...> F=Pi ...

  3. 【Math for ML】向量微积分(Vector Calculus)

    I. 向量梯度 假设有一个映射函数为\(f:R^n→R^m\)和一个向量\(x=[x_1,...,x_n]^T∈R^n\),那么对应的函数值的向量为\(f(x)=[f_1(x),...,f_m(x)] ...

  4. 目录:Matrix Differential Calculus with Applications in Statistics and Econometrics,3rd_[Magnus2019]

    目录:Matrix Differential Calculus with Applications in Statistics and Econometrics,3rd_[Magnus2019] Ti ...

  5. Discrete.Differential.Geometry-An.Applied.Introduction(sig2008)笔记

    -------------------------------------------------------------- Chapter 1: Introduction to Discrete D ...

  6. 机器学习、NLP、Python和Math最好的150余个教程(建议收藏)

    编辑 | MingMing 尽管机器学习的历史可以追溯到1959年,但目前,这个领域正以前所未有的速度发展.最近,我一直在网上寻找关于机器学习和NLP各方面的好资源,为了帮助到和我有相同需求的人,我整 ...

  7. How do I learn mathematics for machine learning?

    https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning   How do I learn mathematics f ...

  8. 超过 150 个最佳机器学习,NLP 和 Python教程

    超过 150 个最佳机器学习,NLP 和 Python教程 微信号 & QQ:862251340微信公众号:coderpai简书地址:http://www.jianshu.com/p/2be3 ...

  9. 【机器学习Machine Learning】资料大全

    昨天总结了深度学习的资料,今天把机器学习的资料也总结一下(友情提示:有些网站需要"科学上网"^_^) 推荐几本好书: 1.Pattern Recognition and Machi ...

随机推荐

  1. android:Internet(volley)

    public void getStringFromCloud(View view) { /*创建请求队列*/ RequestQueue queue = Volley.newRequestQueue(t ...

  2. commons-lang3工具类学习(三)

    六.ObjectUtils Object工具类 allNotNull(Object... values) 检查所有元素是否为空,返回一个boolean 如果有一个元素为空返回false,所有元素不为空 ...

  3. 企业面试题:Buffer与cache的区别?

    buffer缓冲 cache是缓存. 写缓冲,读缓存.简单点说,buffer是即将要被写入磁盘的,而cache是被从磁盘中读出来的.缓冲(buffers)是根据磁盘的读写设计的,把分散的写操作集中进行 ...

  4. SpringMVC 搭建遇到的坑

    1. Caused by: org.xml.sax.SAXParseException; lineNumber: 8; columnNumber: 60; cvc-complex-type.2.4.c ...

  5. Android : 跟我学Binder --- (3) C程序示例

    目录: Android : 跟我学Binder --- (1) 什么是Binder IPC?为何要使用Binder机制? Android : 跟我学Binder --- (2) AIDL分析及手动实现 ...

  6. sql多表查询(单表查询略过)

    表library: 表borrow: 表reader: 1.等值连接:(常用) 原理:将多张表组合成一个逻辑大表,即字段相加记录相乘(笛卡尔积). 语法:select * from 表A,表B whe ...

  7. LAMP架构(二)

    第十八次课 LAMP架构(二) 目录 一.Apache默认虚拟主机 二.Apache用户认证 三.域名跳转 四.Apache访问日志 五.访问日志不记录静态文件 六.访问日志切割 七.静态元素过期时间 ...

  8. 【IDEA&&Eclipse】1、为何 IntelliJ IDEA 比 Eclipse 更适合于专业java开发者

    圣战 有一些没有唯一正确答案的“永恒”的问题,例如哪个更好:是Windows还是Linux,Java还是C#:谁更强壮:Chuck Norris还是Van Damme. 其中的一个圣战便是Java I ...

  9. L330 Black hole picture captured for first time in space ‘breakthrough’

    Black hole picture captured for first time in space ‘breakthrough’ Astronomers have captured the fir ...

  10. 互联网创业公司如何防御 DDoS 攻击?采用CDN服务

    收集了发表于2015年 攻击者是控制一个足够大的分布式集群来发起攻击,各种杂七杂八的包,什么都会有.根本不在乎你开的什么服务,也没那耐心分析你有什么服务.比如哪怕你根本没开UDP的任何服务,但他就是发 ...