6: Vector-Valued Functions of Several Variables
( \newcommand{\kernel}{\mathrm{null}\,}\)
IN THIS CHAPTER we study the differential calculus of vector-valued functions of several variables.
- SECTION 6.1 reviews matrices, determinants, and linear transformations, which are integral parts of the differential calculus as presented here.
- SECTION 6.2 defines continuity and differentiability of vector-valued functions of several variables. The differential of a vector-valued function F is defined as a certain linear transformation. The matrix of this linear transformation is called the differential matrix of F, denoted by F′. The chain rule is extended to compositions of differentiable vector-valued functions.
- SECTION 6.3 presents a complete proof of the inverse function theorem.
- SECTION 6.4. uses the inverse function theorem to prove the implicit function theorem.