Introduction to Linear Algebra, Fifth Edition
Introduction to Linear Algebra, Fifth Edition
5th Edition
ISBN: 9780980232776
Author: Gilbert Strang
Publisher: Wellesley-Cambridge Press
bartleby

Concept explainers

bartleby

Videos

Question
Book Icon
Chapter 3.5, Problem 21PS
To determine

(a)

The vectors that span the column space of A when A is the sum of two matrices of rank one: A=uvT+wzT

The column space of A is spanned by vectors u and w.

Given:

Sum of two matrices of rank one is A: A=uvT+wzT

Calculation:

Consider the equation A=uvT+wzT

We can clearly see that the vectors u and w span the column space of A.

Thus, the column space of A is spanned by vectors u and w.

(b)

To Calculate:

The vectors that span the row space of A when A is the sum of two matrices of rank one: A=uvT+wzT.

The row space of A is spanned by vectors v and z.

Given:

Sum of two matrices of rank one is A: A=uvT+wzT

Calculation:

Consider the equation A=uvT+wzT

We can clearly see that the vectors v and z span the row space of A.

Thus, the row space of A is spanned by vectors v and z.

(c) To Fill:

The blank space.

The rank is less than 2 if vectors u and w are collinear/dependent or if vectors v and z are collinear/dependent.

Given:

The rank is less than 2 if ____ or if _____.

Sum of two matrices of rank one is A: A=uvT+wzT

Calculation:

Collinear means that one vector is multiple of another and it is noted that two collinear vectors are always meant to be linearly dependent.

It is observed that u and w are multiples of each other and also v and z are collinear because they are also multiple of each other.

Therefore, the rank of matrix A is less than 2 only when the vectors u and w are dependent or when the vectors v and z are dependent.

(d)

A and its rank if u=z=(1,0,0)and v=w=(0,0,1)

The rank of A=uvT+wzT is 2

Given:

Sum of two matrices of rank one is A: A=uvT+wzT

u=z=(1,0,0)and v=w=(0,0,1)

Calculation:

Substitute the values of u=z=(1,0,0)and v=w=(0,0,1) in equation A=uvT+wzT

A=uvT+wzT

A=[100]×[001]+[001]×[100]

A=[001000000]+[000000100]

A=[001000100]

Therefore, the rank of matrix A is r(A)=2

To determine

(b)

To Calculate:

The vectors that span the row space of A when A is the sum of two matrices of rank one: A=uvT+wzT.

The row space of A is spanned by vectors v and z.

Given:

Sum of two matrices of rank one is A: A=uvT+wzT

Calculation:

Consider the equation A=uvT+wzT

We can clearly see that the vectors v and z span the row space of A.

Thus, the row space of A is spanned by vectors v and z.

(c) To Fill:

The blank space.

The rank is less than 2 if vectors u and w are collinear/dependent or if vectors v and z are collinear/dependent.

Given:

The rank is less than 2 if ____ or if _____.

Sum of two matrices of rank one is A: A=uvT+wzT

Calculation:

Collinear means that one vector is multiple of another and it is noted that two collinear vectors are always meant to be linearly dependent.

It is observed that u and w are multiples of each other and also v and z are collinear because they are also multiple of each other.

Therefore, the rank of matrix A is less than 2 only when the vectors u and w are dependent or when the vectors v and z are dependent.

(d)

A and its rank if u=z=(1,0,0)and v=w=(0,0,1)

The rank of A=uvT+wzT is 2

Given:

Sum of two matrices of rank one is A: A=uvT+wzT

u=z=(1,0,0)and v=w=(0,0,1)

Calculation:

Substitute the values of u=z=(1,0,0)and v=w=(0,0,1) in equation A=uvT+wzT

A=uvT+wzT

A=[100]×[001]+[001]×[100]

A=[001000000]+[000000100]

A=[001000100]

Therefore, the rank of matrix A is r(A)=2

To determine

(c) To Fill:

The blank space.

The rank is less than 2 if vectors u and w are collinear/dependent or if vectors v and z are collinear/dependent.

Given:

The rank is less than 2 if ____ or if _____.

Sum of two matrices of rank one is A: A=uvT+wzT

Calculation:

Collinear means that one vector is multiple of another and it is noted that two collinear vectors are always meant to be linearly dependent.

It is observed that u and w are multiples of each other and also v and z are collinear because they are also multiple of each other.

Therefore, the rank of matrix A is less than 2 only when the vectors u and w are dependent or when the vectors v and z are dependent.

(d)

A and its rank if u=z=(1,0,0)and v=w=(0,0,1)

The rank of A=uvT+wzT is 2

Given:

Sum of two matrices of rank one is A: A=uvT+wzT

u=z=(1,0,0)and v=w=(0,0,1)

Calculation:

Substitute the values of u=z=(1,0,0)and v=w=(0,0,1) in equation A=uvT+wzT

A=uvT+wzT

A=[100]×[001]+[001]×[100]

A=[001000000]+[000000100]

A=[001000100]

Therefore, the rank of matrix A is r(A)=2

To determine

(d)

A and its rank if u=z=(1,0,0)and v=w=(0,0,1)

The rank of A=uvT+wzT is 2

Given:

Sum of two matrices of rank one is A: A=uvT+wzT

u=z=(1,0,0)and v=w=(0,0,1)

Calculation:

Substitute the values of u=z=(1,0,0)and v=w=(0,0,1) in equation A=uvT+wzT

A=uvT+wzT

A=[100]×[001]+[001]×[100]

A=[001000000]+[000000100]

A=[001000100]

Therefore, the rank of matrix A is r(A)=2

Blurred answer

Chapter 3 Solutions

Introduction to Linear Algebra, Fifth Edition

Ch. 3.1 - Prob. 11PSCh. 3.1 - Prob. 12PSCh. 3.1 - Prob. 13PSCh. 3.1 - Prob. 14PSCh. 3.1 - Prob. 15PSCh. 3.1 - Prob. 16PSCh. 3.1 - Prob. 17PSCh. 3.1 - Prob. 18PSCh. 3.1 - Prob. 19PSCh. 3.1 - Prob. 20PSCh. 3.1 - Prob. 21PSCh. 3.1 - Prob. 22PSCh. 3.1 - Prob. 23PSCh. 3.1 - Prob. 24PSCh. 3.1 - Prob. 25PSCh. 3.1 - Prob. 26PSCh. 3.1 - Prob. 27PSCh. 3.1 - Prob. 28PSCh. 3.1 - Prob. 29PSCh. 3.1 - Prob. 30PSCh. 3.1 - Prob. 31PSCh. 3.1 - Prob. 32PSCh. 3.2 - Prob. 1PSCh. 3.2 - Prob. 2PSCh. 3.2 - Prob. 3PSCh. 3.2 - Prob. 4PSCh. 3.2 - Prob. 5PSCh. 3.2 - Prob. 6PSCh. 3.2 - Prob. 7PSCh. 3.2 - Prob. 8PSCh. 3.2 - Prob. 9PSCh. 3.2 - Prob. 10PSCh. 3.2 - Prob. 11PSCh. 3.2 - Prob. 12PSCh. 3.2 - Prob. 13PSCh. 3.2 - Prob. 14PSCh. 3.2 - Prob. 15PSCh. 3.2 - Prob. 16PSCh. 3.2 - Prob. 17PSCh. 3.2 - Prob. 18PSCh. 3.2 - Prob. 19PSCh. 3.2 - Prob. 20PSCh. 3.2 - Prob. 21PSCh. 3.2 - Prob. 22PSCh. 3.2 - Prob. 23PSCh. 3.2 - Prob. 24PSCh. 3.2 - Prob. 25PSCh. 3.2 - Prob. 26PSCh. 3.2 - Prob. 27PSCh. 3.2 - Prob. 28PSCh. 3.2 - Prob. 29PSCh. 3.2 - Prob. 30PSCh. 3.2 - Prob. 31PSCh. 3.2 - Prob. 32PSCh. 3.2 - Prob. 33PSCh. 3.2 - Prob. 34PSCh. 3.2 - Prob. 35PSCh. 3.2 - Prob. 36PSCh. 3.2 - Prob. 37PSCh. 3.2 - Prob. 38PSCh. 3.2 - Prob. 39PSCh. 3.2 - Prob. 40PSCh. 3.2 - Prob. 41PSCh. 3.2 - Prob. 42PSCh. 3.2 - Prob. 43PSCh. 3.2 - Prob. 44PSCh. 3.2 - Prob. 45PSCh. 3.2 - Prob. 46PSCh. 3.2 - Prob. 47PSCh. 3.2 - Prob. 48PSCh. 3.2 - Prob. 49PSCh. 3.2 - Prob. 50PSCh. 3.2 - Prob. 51PSCh. 3.2 - Prob. 52PSCh. 3.2 - Prob. 53PSCh. 3.2 - Prob. 54PSCh. 3.2 - Prob. 55PSCh. 3.2 - Prob. 56PSCh. 3.2 - Prob. 57PSCh. 3.2 - Prob. 58PSCh. 3.2 - Prob. 59PSCh. 3.2 - Prob. 60PSCh. 3.3 - Prob. 1PSCh. 3.3 - Prob. 2PSCh. 3.3 - Prob. 3PSCh. 3.3 - Prob. 4PSCh. 3.3 - Prob. 5PSCh. 3.3 - Prob. 6PSCh. 3.3 - Prob. 7PSCh. 3.3 - Prob. 8PSCh. 3.3 - Prob. 9PSCh. 3.3 - Prob. 10PSCh. 3.3 - Prob. 11PSCh. 3.3 - Prob. 12PSCh. 3.3 - Prob. 13PSCh. 3.3 - Prob. 14PSCh. 3.3 - Prob. 15PSCh. 3.3 - Prob. 16PSCh. 3.3 - Prob. 17PSCh. 3.3 - Prob. 18PSCh. 3.3 - Prob. 19PSCh. 3.3 - Prob. 20PSCh. 3.3 - Prob. 21PSCh. 3.3 - Prob. 22PSCh. 3.3 - Prob. 23PSCh. 3.3 - Prob. 24PSCh. 3.3 - Prob. 25PSCh. 3.3 - Prob. 26PSCh. 3.3 - Prob. 27PSCh. 3.3 - Prob. 28PSCh. 3.3 - Prob. 29PSCh. 3.3 - Prob. 30PSCh. 3.3 - Prob. 31PSCh. 3.3 - Prob. 32PSCh. 3.3 - Prob. 33PSCh. 3.3 - Prob. 34PSCh. 3.3 - Prob. 35PSCh. 3.3 - Prob. 36PSCh. 3.3 - Prob. 37PSCh. 3.4 - Prob. 1PSCh. 3.4 - Prob. 2PSCh. 3.4 - Prob. 3PSCh. 3.4 - Prob. 4PSCh. 3.4 - Prob. 5PSCh. 3.4 - Prob. 6PSCh. 3.4 - Prob. 7PSCh. 3.4 - Prob. 8PSCh. 3.4 - Prob. 9PSCh. 3.4 - Prob. 10PSCh. 3.4 - Prob. 11PSCh. 3.4 - Prob. 12PSCh. 3.4 - Prob. 13PSCh. 3.4 - Prob. 14PSCh. 3.4 - Prob. 15PSCh. 3.4 - Prob. 16PSCh. 3.4 - Prob. 17PSCh. 3.4 - Prob. 18PSCh. 3.4 - Prob. 19PSCh. 3.4 - Prob. 20PSCh. 3.4 - Prob. 21PSCh. 3.4 - Prob. 22PSCh. 3.4 - Prob. 23PSCh. 3.4 - Prob. 24PSCh. 3.4 - Prob. 25PSCh. 3.4 - Prob. 26PSCh. 3.4 - Prob. 27PSCh. 3.4 - Prob. 28PSCh. 3.4 - Prob. 29PSCh. 3.4 - Prob. 30PSCh. 3.4 - Prob. 31PSCh. 3.4 - Prob. 32PSCh. 3.4 - Prob. 33PSCh. 3.4 - Prob. 34PSCh. 3.4 - Prob. 35PSCh. 3.4 - Prob. 36PSCh. 3.4 - Prob. 37PSCh. 3.4 - Prob. 38PSCh. 3.4 - Prob. 39PSCh. 3.4 - Prob. 40PSCh. 3.4 - Prob. 41PSCh. 3.4 - Prob. 42PSCh. 3.4 - Prob. 43PSCh. 3.4 - Prob. 44PSCh. 3.4 - Prob. 45PSCh. 3.4 - Prob. 46PSCh. 3.5 - Prob. 1PSCh. 3.5 - Prob. 2PSCh. 3.5 - Prob. 3PSCh. 3.5 - Prob. 4PSCh. 3.5 - Prob. 5PSCh. 3.5 - Prob. 6PSCh. 3.5 - Prob. 7PSCh. 3.5 - Prob. 8PSCh. 3.5 - Prob. 9PSCh. 3.5 - Prob. 10PSCh. 3.5 - Prob. 11PSCh. 3.5 - Prob. 12PSCh. 3.5 - Prob. 13PSCh. 3.5 - Prob. 14PSCh. 3.5 - Prob. 15PSCh. 3.5 - Prob. 16PSCh. 3.5 - Prob. 17PSCh. 3.5 - Prob. 18PSCh. 3.5 - Prob. 19PSCh. 3.5 - Prob. 20PSCh. 3.5 - Prob. 21PSCh. 3.5 - Prob. 22PSCh. 3.5 - Prob. 23PSCh. 3.5 - Prob. 24PSCh. 3.5 - Prob. 25PSCh. 3.5 - Prob. 26PSCh. 3.5 - Prob. 27PSCh. 3.5 - Prob. 28PSCh. 3.5 - Prob. 29PSCh. 3.5 - Prob. 30PSCh. 3.5 - Prob. 31PS
Knowledge Booster
Background pattern image
Algebra
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, algebra and related others by exploring similar questions and additional content below.
Recommended textbooks for you
Text book image
Algebra and Trigonometry (6th Edition)
Algebra
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:PEARSON
Text book image
Contemporary Abstract Algebra
Algebra
ISBN:9781305657960
Author:Joseph Gallian
Publisher:Cengage Learning
Text book image
Linear Algebra: A Modern Introduction
Algebra
ISBN:9781285463247
Author:David Poole
Publisher:Cengage Learning
Text book image
Algebra And Trigonometry (11th Edition)
Algebra
ISBN:9780135163078
Author:Michael Sullivan
Publisher:PEARSON
Text book image
Introduction to Linear Algebra, Fifth Edition
Algebra
ISBN:9780980232776
Author:Gilbert Strang
Publisher:Wellesley-Cambridge Press
Text book image
College Algebra (Collegiate Math)
Algebra
ISBN:9780077836344
Author:Julie Miller, Donna Gerken
Publisher:McGraw-Hill Education
Matrix Operations Full Length; Author: ProfRobBob;https://www.youtube.com/watch?v=K5BLNZw7UeU;License: Standard YouTube License, CC-BY
Intro to Matrices; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=yRwQ7A6jVLk;License: Standard YouTube License, CC-BY