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In this book, exercises are carried out regarding the following mathematical topics:
vectors and vector operations
vector spaces
canonical, orthogonal, and orthonormal bases.
Initial theoretical hints are also presented to make the performance of the exercises understood
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Veröffentlichungsjahr: 2022
“Exercises of Vectors and Vectorial Spaces”
INTRODUCTION
THEORETICAL OUTLINE
EXERCISES
SIMONE MALACRIDA
In this book, exercises are carried out regarding the following mathematical topics:
vectors and vector operations
vector spaces
canonical, orthogonal, and orthonormal bases.
Initial theoretical hints are also presented to make the performance of the exercises understood
Simone Malacrida (1977)
Engineer and writer, has worked on research, finance, energy policy and industrial plants.
ANALYTICAL INDEX
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INTRODUCTION
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I – THEORETICAL OUTLINE
Vector definition
Carrier operations
Vector spaces
Operations on vector spaces
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II – EXERCISES
Exercise 1
Exercise 2
Exercise 3
Exercise 4
Exercise 5
Exercise 6
Exercise 7
Exercise 8
Exercise 9
Exercise 10
Exercise 11
Exercise 12
Exercise 13
Exercise 14
Exercise 15
Exercise 16
Exercise 17
Exercise 18
Exercise 19
Exercise 20
Exercise 2 1
Exercise 22
Exercise 23
Exercise 24
Exercise 25
Exercise 26
In this exercise book some examples of calculus related to vectors and vector spaces are carried out.
Furthermore, the main theorems used in this sector of geometry are presented.
Vectors allow us to generalize elementary geometry and lay the foundations for a more in-depth understanding of elements of abstract analysis.
The physical and technological applications of vectors are immeasurable, just think of any sector, starting from mechanics or electromagnetism.
In order to understand in more detail what is presented in the resolution of the exercises, the theoretical reference context is recalled in the first chapter.
What is presented in this workbook is generally addressed in university-level geometry courses, even if the notion of vector is already introduced in high school.
I
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A vector can be defined as an n-tuple of numbers where each individual number is called an element or component of the vector.
The vector symbol is a lowercase letter with an arrow above it:
A vector written in this way is called a row vector, a vector in which the elements are written vertically is called a column vector.
The number of elements of a vector is called the basis of the vector or vector basis .
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The sum and difference of vectors is the sum and difference of the individual elements of vectors .