Vector Analysis

In multivariable vector analysis, we discuss the differentiation and integration of the following functions:

• Vector-valued functions $\mathbf{f} : \mathbb{R} \to \mathbb{R}^{n}$
• Multivariable functions $f : \mathbb{R}^{n} \to \mathbb{R}$
• Multivariable vector functions $\mathbf{f} : \mathbb{R}^{n} \to \mathbb{R}^{m}$

Real functions $f : \mathbb{R} \to \mathbb{R}$ are covered in the Introduction to Analysis category.

Especially, 3D functions $f : \mathbb{R}^{3} \to \mathbb{R}$ and $\mathbf{f} : \mathbb{R}^{3} \to \mathbb{R}^{3}$ are discussed in the Mathematical Physics category, slightly less rigorously to suit the level of physics and engineering majors.

Euclidean Space

• What is Euclidean Space $\mathbb{R}^{n}$
• Scalar Functions and Vector Functions
• Inner Product in Euclidean Space
• N-dimensional Polar Coordinates

Vector-valued Functions

Covers content related to vector-valued functions $\mathbf{f} : \mathbb{R} \to \mathbb{R}^{n}$.

Differentiation

Integration

• Integration of Vector-valued Functions

Multivariable Functions

Covers content related to multivariable functions $f : \mathbb{R}^{n} \to \mathbb{R}$.

Differentiation

• Total Differentiation
• Directional Derivatives
• Gradient of a Scalar Field
• Hessian Matrix
• Taylor’s Theorem
• Derivatives of Scalar Functions with Vectors and Matrices $\nabla \mathbf{w}^{T} R \mathbf{x}$
  • 🔒(24/05/08) Gradient of Residual Sum of Squares $\nabla \left| \mathbf{y} - X \mathbf{w} \right|_{2}$

Integration

• Integration of Multivariable Functions

Multivariable Vector Functions

Covers content related to $\mathbf{f} : \mathbb{R}^{n} \to \mathbb{R}^{m}$.

Differentiation

• Total Derivative
• Jacobian Matrix
  • Jacobian of Composite Functions
• Regular Mapping
• Partial Derivatives
  • Why Use Different Notation for Partial Derivatives $d \overset{?}{\to} \partial$
• Chain Rule for Multivariable Vector Functions
• Inverse Function Theorem
• Divergence of a Vector Field

Integration

• Volume of a Vector Field

References

• Walter Rudin, Principles of Mathmatical Analysis (3rd Edition, 1976)
• William R. Wade, An Introduction to Analysis (4th Edition, 2010)