Suppose A is a square matrix, and let A1, A2, ..., λk be distinct eigenvalues of A, with corresponding eigenvectors V1, V2, …….Vk. Suppose v1 can be expressed as a linear combination of the remaining eigenvectors, V1a2V2 α3√3 + . . . +akvk Prove: {V2, V3, ..., Vk) is a dependent set. Suggestion: What is Av₁? Prove: Eigenvectors for different eigenvalues must be linearly independent. Suggestion: If the eigenvectors are dependent, we can express one of them as a linear combination of the rest; the first part of this question shows that there will be a smaller set of dependent vectors. Lather, rinse, repeat. Edit Insert Formats BI U A Ξ Ε ΣΕ ΑΗ Prove: An x n matrix can have at most n eigenvalues. DO NOT refer to any method of finding the eigenvalues.

Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
icon
Related questions
Question
Suppose A is a square matrix, and let A1, A2, ..., λk be
distinct eigenvalues of A, with corresponding eigenvectors
V1, V2, …….Vk.
Suppose v1 can be expressed as a linear combination of the
remaining eigenvectors,
V1a2V2 α3√3 +
. . .
+akvk
Prove: {V2, V3, ..., Vk) is a dependent set. Suggestion:
What is Av₁?
Transcribed Image Text:Suppose A is a square matrix, and let A1, A2, ..., λk be distinct eigenvalues of A, with corresponding eigenvectors V1, V2, …….Vk. Suppose v1 can be expressed as a linear combination of the remaining eigenvectors, V1a2V2 α3√3 + . . . +akvk Prove: {V2, V3, ..., Vk) is a dependent set. Suggestion: What is Av₁?
Prove: Eigenvectors for different eigenvalues must be
linearly independent.
Suggestion: If the eigenvectors are dependent, we can
express one of them as a linear combination of the rest; the
first part of this question shows that there will be a smaller
set of dependent vectors. Lather, rinse, repeat.
Edit
Insert
Formats
BI U A
Ξ Ε ΣΕ ΑΗ
Prove: An x n matrix can have at most n eigenvalues. DO
NOT refer to any method of finding the eigenvalues.
Transcribed Image Text:Prove: Eigenvectors for different eigenvalues must be linearly independent. Suggestion: If the eigenvectors are dependent, we can express one of them as a linear combination of the rest; the first part of this question shows that there will be a smaller set of dependent vectors. Lather, rinse, repeat. Edit Insert Formats BI U A Ξ Ε ΣΕ ΑΗ Prove: An x n matrix can have at most n eigenvalues. DO NOT refer to any method of finding the eigenvalues.
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Similar questions
Recommended textbooks for you
Algebra and Trigonometry (6th Edition)
Algebra and Trigonometry (6th Edition)
Algebra
ISBN:
9780134463216
Author:
Robert F. Blitzer
Publisher:
PEARSON
Contemporary Abstract Algebra
Contemporary Abstract Algebra
Algebra
ISBN:
9781305657960
Author:
Joseph Gallian
Publisher:
Cengage Learning
Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
Algebra
ISBN:
9781285463247
Author:
David Poole
Publisher:
Cengage Learning
Algebra And Trigonometry (11th Edition)
Algebra And Trigonometry (11th Edition)
Algebra
ISBN:
9780135163078
Author:
Michael Sullivan
Publisher:
PEARSON
Introduction to Linear Algebra, Fifth Edition
Introduction to Linear Algebra, Fifth Edition
Algebra
ISBN:
9780980232776
Author:
Gilbert Strang
Publisher:
Wellesley-Cambridge Press
College Algebra (Collegiate Math)
College Algebra (Collegiate Math)
Algebra
ISBN:
9780077836344
Author:
Julie Miller, Donna Gerken
Publisher:
McGraw-Hill Education