/*! 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} Q40E Find a basis of the linear space... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Find a basis of the linear space Vof all2×2matrices Afor which[1-3] is an eigenvector, and thus determine the dimension of V.

Short Answer

Expert verified

Hence, the required dimension is 3.

Step by step solution

01

Definition of the Eigenvectors

Eigenvectors are a nonzero vector that is mapped by a given linear transformation of a vector space onto a vector that is the product of a scalar multiplied by the original vector.

02

Given Information

Consider the following linear space:

V = { A : A is2×2matrix and1-3is an eigenvector of A}

The objective is to determine the basis of the above linear space and determine the dimension of V.

03

Making equations

Assume thatA=abcdsuch thatA∈V.

Let v=1-3is an eigenvector of A then it is known that Av→=λv→, thus it can be

written as:

abcd1-3=λ1-3Here,λisaneignevaluecorrespondingtotheeigenvectorv.a-3bc-3d=λ-3λ

This implies,

λ=a-3b.....(1)-3λ=c-3d.....(2)

04

Substitution

Now, substitute the value of λfrom equation (1) in the equation (2) as follows:

-3(a-3b)=c-3d-3a+9b=c-3d-3a+9b+3d=c

Now, substitute the value of c=-3a+9b+3din the matrix Aas shown below:

A=abcd=ab-3a+9b+3dd=a10-30+b0190+d0031

Thus, all the matrices in the linear space Vis of the following form:

V==a10-30+b0190+d0031suchthata,b,d∈Ra=spam10-30,0190,0031

Hence, the basis for the linear space Vis10-30,0190,0031and dim (V)=3because there are 3 elements in the basis set of V.

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

For a given eigenvalue, find a basis of the associated eigenspace. Use the geometric multiplicities of the eigenvalues to determine whether a matrix is diagonalizable. For each of the matrices A in Exercises 1 through 20, find all (real) eigenvalues. Then find a basis of each eigenspace, and diagonalize A, if you can. Do not use technology

0-112

True or false? If the determinant of a 2 × 2 matrix A is negative, then A has two distinct real eigenvalues.

There exists a real 5 × 5 matrix without any real eigenvalues.

In an unfortunate accident involving an Austrian truck, 100kgof a highly toxic substance are spilled into Lake Sils, in the Swiss Engadine Valley. The river Inn carries the pollutant down to Lake Silvaplana and later to Lake St. Moritz.


This sorry state, tweeks after the accident, can be described by the vector

x→(t)=x1(t)x2(t)x3(t)pollutantinlakesilspollutantinlakesilvaplanapollutantinlakest.Mortiz}(inkg)

Suppose thatx→(t+1)=[0.7000.106000208]x→(t)

  1. Explain the significance of the entries of the transformation matrix in practical terms.
  2. Find closed formulas for the amount of pollutant in each of the three lakesweeks after the accident. Graph the three functions against time (on the same

axes). When does the pollution in Lake Silvaplana reach a maximum

For a given eigenvalue, find a basis of the associated eigenspace. Use the geometric multiplicities of the eigenvalues to determine whether a matrix is diagonalizable. For each of the matrices A in Exercises 1 through 20, find all (real) eigenvalues. Then find a basis of each eigenspace, and diagonalize A, if you can. Do not use technology

6.(2345)

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.