Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

MATH 700 Handout #3 - Linear Algebra: Eigenvectors, Quotient Spaces, Commuting Operators -, Study notes of Linear Algebra

This handout from a fall, 2008 math 700 course covers various topics in linear algebra, including eigenvectors, quotient spaces, and commuting operators. Students are asked to find eigenvectors and eigenvalues for a given matrix, prove the uniqueness of a quotient space map, and show that two subspaces share a common quotient. The document also includes a hint for approaching the problem using the universal mapping property of a quotient space.

Typology: Study notes

Pre 2010

Uploaded on 10/01/2009

koofers-user-xv4
koofers-user-xv4 🇺🇸

10 documents

1 / 1

Toggle sidebar

Partial preview of the text

Download MATH 700 Handout #3 - Linear Algebra: Eigenvectors, Quotient Spaces, Commuting Operators - and more Study notes Linear Algebra in PDF only on Docsity! MATH 700 Handout #3 Fall, 2008 The starred problems are due on October 23. Throughout V is an n -dimensional vector space. For a different approach than Axler’s (but using material on determinants that you would have to take on faith) see chapters 6 and 7 in the text by K. Hoffman and R. Kunze. 1. * Let A = [ −10 −6 18 11 ] , and let LA : R 2 → R2 be the corresponding linear operator (we are using the standard basis S = 〈e1, e2〉 ). Verify that each of [ 2 −3 ] and [ −1 2 ] is an eigenvector for LA and determine the eigenvalue for each. Find a basis β for R2 so that B = [LA]β is diagonal, and give the matrix P such that B = P−1AP . 2. Recall the construction of V/W and the universal mapping property that it satisfied. a. In this context show that the constructed map T̃ is unique; that is, if T ′ fills in the diagram the same way, so that T ′◦π = T̃ ◦π = T , then T ′ = T̃ . b. Show that (V/W )∗ ∼= W ◦ . This gives yet another way to compute dim(V/W ) . c. * Suppose that W1 and W2 are subspaces of V . Prove that (W1 + W2)/W2 ∼= W1/(W1 ∩ W2) . Hint: please do not try to define maps on equivalence classes, show that these are well-defined and linear, etc. One approach would be to begin with a composition of maps W1 → W1 + W2 → (W1 + W2)/W2 that you understand, and see how you can use the universal mapping property of an appropriate quotient space. 3. * Let V be an n -dimensional vector space over C ; let T and S be linear operators on V . Suppose thsat ST = TS . Show that S and T have an eigenvector in common (not necessarily with the same eigenvalue). As a preliminary step you might want to show that every eigenspace of S contains an eigenvalue for T . It is important in this problem that the field is C .
Docsity logo



Copyright © 2024 Ladybird Srl - Via Leonardo da Vinci 16, 10126, Torino, Italy - VAT 10816460017 - All rights reserved