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Vectors in R2 and R3: A Comprehensive Guide with Examples and Exercises, Lecture notes of Linear Algebra

A comprehensive introduction to vectors in two and three-dimensional spaces (r2 and r3). It covers fundamental concepts such as vector representation, addition, scalar multiplication, and linear combinations. The document also explores vector equations and parametric equations of lines and planes in r2 and r3, providing illustrative examples and exercises to solidify understanding. It is a valuable resource for students studying linear algebra or related fields.

Typology: Lecture notes

2023/2024

Uploaded on 10/07/2024

james-karr
james-karr 🇨🇦

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1.1 Vectors in R2and R3
Quote. We must admit with humility that, while number is purely a product of our minds, space
has a reality outside our minds, so that we cannot completely prescribe its properties a priori Carl
Friedrich Gauss (1777-1855)
Vocabulary.
R2: two-dimensional space.
R3: three-dimensional space.
n-tuple: an ordered list of nnumbers enclosed in brackets.
coordinates: the n-tuple that describes a position of a point.
scalar: an object that can be described entirely by a number.
vector: an object that can be described by a number value (called its magnitude) and a
direction. Can also be described by an n-tuple.
components: each item of a vector.
1. Graphical Representation of points and vectors in R2and R3
2. Notation for scalars, vectors, and points.
a, b, c, k, l, m, u, v, w for scalars
a,b,c,k,l,m,u,v,wor !a,!
b, !cfor vectors
pf3
pf4
pf5

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1. 1 Vectors in R

and R

Quote. “We must admit with humility that, while number is purely a product of our minds, space

has a reality outside our minds, so that we cannot completely prescribe its properties a priori” Carl

Friedrich Gauss ( 1777 - 1855 )

Vocabulary.

• R

2 : two-dimensional space.

• R

3 : three-dimensional space.

  • n-tuple: an ordered list of n numbers enclosed in brackets.
  • coordinates: the n-tuple that describes a position of a point.
  • scalar: an object that can be described entirely by a number.
  • vector: an object that can be described by a number value (called its magnitude) and a

direction. Can also be described by an n-tuple.

  • components: each item of a vector.
  1. Graphical Representation of points and vectors in R

2 and R

3

  1. Notation for scalars, vectors, and points.

a, b, c, k, l, m, u, v, w for scalars

a, b, c, k, l, m, u, v, w or !a,

b, !c for vectors

  1. Addition and Scalar Multiplication of vectors
  • Two vectors are equal if they have same magnitude and direction.
  • If the length (also called the magnitude) of the vector is 0 then the direction does not

matter and such a vector is called the zero vector and denoted by 0.

vector addition

Geometric Algebraic

1

2

3

4

1 2 3 4

x

y

0

negative of a vector

Geometric Algebraic

1

2

3

4

1 2 3 4

x

y

0

scalar multiplication

Geometric Algebraic

1

2

3

4

1 2 3 4

x

y

0

vector subtraction

Geometric Algebraic

  1. Vector Equations of lines in R

2

Definition. A line through the origin in R

2 is a set of the form {t

d|t ∈ R} where

d is a

vector through the origin.

Example.

And then, how does the vector equation of the line through a point which is not the origin

look?

  1. Parametric Equations of lines in R

2

Definition. A through the origin in R

2 can be written parametrically by separating the

vector equation into two parametric equations. From the parametric equations, the parameter

can be elimination to give the familiar slope-intercept form of a line

Example.

  1. Vector and parametric equations of lines in R

3

We simply repeat what we have done in 2 dimensions with 2 component vectors and now

consider that we are in three dimensions and each vector has 3 components.

Example.

  1. Vector and parametric equations of planes in R

3

Definition. A plane through the origin in R

3 is a set of the form {t!u + s!v|s, t ∈ R} where

!u and !v are vectors through the origin.

Example.

CAUTION: if !v is a scalar multiple of !u then we have a line, not a plane!