
Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Problem set 9 for linear algebra (math 110) at an unspecified university. The problem set consists of various problems related to linear transformations, derivatives, isomorphisms, and matrix operations. Students are required to find the jordan canonical form of a linear transformation, prove properties of vector spaces and their duals, identify constants for linear transformations, and find the minimal polynomial of a linear transformation. The optional problem asks students to prove the lights and switches result combinatorially.
Typology: Assignments
1 / 1
This page cannot be seen from the preview
Don't miss anything!

Problem Set 9 (due November 12) MATH 110: Linear Algebra
Each problem is worth 10 points. PART 1
Problem 1(20) Let V be a real vector space of functions spanned by the set of real values functions {ex, xex, x^2 ex, e^2 x} and let T be the linear transformation T : V โ V defined by T (f ) = f โฒ, the derivative of f. Find the Jordan canonical form of T. Problem 2(10) Prove that if V is isomorphic to W then V โ^ is isomorphic to W โ. Is the converse true (prove or give a counterexample)? Problem 3 (10) a) Let T : R โ R be a linear transformation. Show that T (x) = cx where c โ R is some constant. b) Let T : R 2 โ R be a linear transformation. Show that T (x, y) = c 1 x + c 2 y. c) Generalize parts a) and b) to a linear transformation of the form T : Rn โ R. d) Show that every plane through the origin in R 3 may be identified with the null space of an element in (R 3 )โ. Problem 4 (10) Let T : Mn,n(R) โ Mn,n(R) be a linear transformation from the vector space of nรn matrices over R into itself, where T (A) = At. Find the minimal polynomial of T. PART 3 - Optional Problem Prove the lights and switches result combinatorially (i.e., without using linear algebra).