Table of Contents 1
Cover
5
Familiarization with Semi-normed Spaces
7
Chapter 1: Spaces of Continuous Functions
1.1 Notions of continuity
1.2 Spaces С(Ω; E), Сb(Ω; E), СK(Ω; E), С(Ω; E) and Сb(Ω; E)
1.3 Comparison of spaces of continuous functions
1.4 Sequential completeness of spaces of continuous functions
1.5 Metrizability of spaces of continuous functions
1.6 The space 8
Chapter 2: Differentiable Functions
2.1 Differentiability
2.2 Finite increment theorem
2.3 Partial derivatives
2.4 Higher order partial derivatives
2.5 Spaces 9
Chapter 3: Differentiating Composite Functions and Others
3.1. Image under a linear mapping
3.2. Image under a multilinear mapping: Leibniz rule
3.3. Dual formula of the Leibniz rule
3.4. Continuity of the image under a multilinear mapping
3.5. Change of variables in a derivative
3.6. Differentiation with respect to a separated variable
3.7. Image under a differentiable mapping
3.8. Differentiation and translation
3.9. Localizing functions
10
Chapter 4: Integrating Uniformly Continuous Functions
4.1. Measure of an open subset of 11
Chapter 5: Properties of the Measure of an Open Set
5.1. Additivity of the measure
5.2. Negligible sets
5.3. Determinant of d vectors
5.4. Measure of a parallelepiped
12
Chapter 6: Additional Properties of the Integral
6.1. Contribution of a negligible set to the integral
6.2. Integration and differentiation in one dimension
6.3. Integration of a function of functions
6.4. Integrating a function of multiple variables
6.5. Integration between graphs
6.6. Integration by parts and weak vanishing condition for a function
6.7. Change of variables in an integral
6.8.