Chapter 7: Q62E (page 325)
find an eigenbasis for the given matrice and diagonalize:
representing the orthogonal projection onto a plane E.
Short Answer
The eigenbasis for the given matrice is .
/*! 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}
Learning Materials
Features
Discover
Chapter 7: Q62E (page 325)
find an eigenbasis for the given matrice and diagonalize:
representing the orthogonal projection onto a plane E.
The eigenbasis for the given matrice is .
All the tools & learning materials you need for study success - in one app.
Get started for free
Find a matrix A such that and are eigenvectors of A , with eigenvalues 5 and 10 , respectively.
Three holy men (let’s call them Anselm, Benjamin, and Caspar) put little stock in material things; their only earthly possession is a small purse with a bit of gold dust. Each day they get together for the following bizarre bonding ritual: Each of them takes his purse and gives his gold away to the two others, in equal parts. For example, if Anselm has 4 ounces one day, he will give 2 ounces each to Benjamin and Caspar.
(a) If Anselm starts out with 6 ounces, Benjamin with 1 ounce, and Caspar with 2 ounces, find formulas for the amounts a(t), b(t), and c(t) each will have after tdistributions.
Hint: The vector , and will be useful.
(b) Who will have the most gold after one year, that is, after 365 distributions?
For which matrices A does there exist a nonzero matrix M Such that ,where Give your answer in terms of eigenvalues of A.
For each of the matrices in Exercises 1 through 13, find all real eigenvalues, with their algebraic multiplicities. Show your work. Do not use technology.
Arguing geometrically, find all eigenvectors and eigenvalues of the linear transformations in Exercises 15 through 22. In each case, find an eigenbasis if you can, and thus determine whether the given transformation is diagonalizable.
Reflection about a line L in.
What do you think about this solution?
We value your feedback to improve our textbook solutions.