/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q2.9-15Q Suppose a \({\bf{3}} \times {\bf... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Suppose a \({\bf{3}} \times {\bf{5}}\) matrix Ahas three pivot columns. Is \(Col A = {\mathbb{R}^3}\)? Is \(Nul A = {\mathbb{R}^{\bf{2}}}\)? Explain your answers.

Short Answer

Expert verified

It is true that\[{\rm{Col}} A = {\mathbb{R}^3}\], but it is not true that\({\rm{Nul}} A = {\mathbb{R}^2}\).

Step by step solution

01

Bases for Nul A and Col A

The set of all linear combinations of the columns of matrix A is Col A, or it is called column space of A. Pivot columns are the bases for Col A.

The set of all homogeneous equation solutions\(A{\bf{x}} = 0\)is Nul A, or it is called the null space of A.

02

Explain spaces for Col A and Nul A

It is given that matrix A is of order\(3 \times 5\). By comparing with\(m \times n\), it is obtained that\(m = 3\)and\(n = 5\).

Also, it is given that matrix A has 3 pivot columns, which means that the dimensions of Col A are 3 and the columns of A span\({\mathbb{R}^3}\).

Since\(n = 5\), Nul A is a subspace of 5. Thus, Nul A is not equal to\({\mathbb{R}^2}\), but it is correct that it is in 2-dimensional space.

As there are 3 pivot columns and there are 5 columns in matrix A, it means that there must be 2 free variables. So, the dimension of Nul Ais 2.

Therefore, \[Col A = {\mathbb{R}^3}\] is true but \({\rm{Nul}} A = {\mathbb{R}^2}\) is not true.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Let Abe an invertible \(n \times n\) matrix, and let \(B\) be an \(n \times p\) matrix. Explain why \({A^{ - 1}}B\) can be computed by row reduction: If\(\left( {\begin{aligned}{*{20}{c}}A&B\end{aligned}} \right) \sim ... \sim \left( {\begin{aligned}{*{20}{c}}I&X\end{aligned}} \right)\), then \(X = {A^{ - 1}}B\).

If Ais larger than \(2 \times 2\), then row reduction of \(\left( {\begin{aligned}{*{20}{c}}A&B\end{aligned}} \right)\) is much faster than computing both \({A^{ - 1}}\) and \({A^{ - 1}}B\).

Suppose Ais an \(n \times n\) matrix with the property that the equation \(Ax = 0\)has only the trivial solution. Without using the Invertible Matrix Theorem, explain directly why the equation \(Ax = b\) must have a solution for each b in \({\mathbb{R}^n}\).

If A, B, and X are \(n \times n\) invertible matrices, does the equation \({C^{ - 1}}\left( {A + X} \right){B^{ - 1}} = {I_n}\) have a solution, X? If so, find it.

Exercises 15 and 16 concern arbitrary matrices A, B, and Cfor which the indicated sums and products are defined. Mark each statement True or False. Justify each answer.

15. a. If A and B are \({\bf{2}} \times {\bf{2}}\) with columns \({{\bf{a}}_1},{{\bf{a}}_2}\) and \({{\bf{b}}_1},{{\bf{b}}_2}\) respectively, then \(AB = \left( {\begin{aligned}{*{20}{c}}{{{\bf{a}}_1}{{\bf{b}}_1}}&{{{\bf{a}}_2}{{\bf{b}}_2}}\end{aligned}} \right)\).

b. Each column of ABis a linear combination of the columns of Busing weights from the corresponding column of A.

c. \(AB + AC = A\left( {B + C} \right)\)

d. \({A^T} + {B^T} = {\left( {A + B} \right)^T}\)

e. The transpose of a product of matrices equals the product of their transposes in the same order.

Suppose Aand Bare \(n \times n\), Bis invertible, and ABis invertible. Show that Ais invertible. (Hint: Let C=AB, and solve this equation for A.)

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.