Chapter 7: Q35E (page 346)
Is matrix similar to?
Short Answer
The matrix A= not similar to B=.
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Chapter 7: Q35E (page 346)
Is matrix similar to?
The matrix A= not similar to B=.
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28 : Consider the isolated Swiss town of Andelfingen, inhabited by 1,200 families. Each family takes a weekly shopping trip to the only grocery store in town, run by Mr. and Mrs. Wipf, until the day when a new, fancier (and cheaper) chain store, Migros, opens its doors. It is not expected that everybody will immediately run to the new store, but we do anticipate that 20% of those shopping at Wipf’s each week switch to Migros the following week. Some people who do switch miss the personal service (and the gossip) and switch back: We expect that 10% of those shopping at Migros each week go to Wipf’s the following week. The state of this town (as far as grocery shopping is concerned) can be represented by the vector
where w(t) and m(t) are the numbers of families shopping at Wipf’s and at Migros, respectively, t weeks after Migros opens. Suppose w(0) = 1,200 and m(0) = 0.
a. Find a 2 × 2 matrix A such that role="math" localid="1659586084144" . Verify that A is a positive transition matrix. See Exercise 25.
b. How many families will shop at each store after t weeks? Give closed formulas. c. The Wipfs expect that they must close down when they have less than 250 customers a week. When does that happen?
Is an eigenvector of? If so, what is the eigenvalue?
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 Exercise1 through 20 , find all (real)eigenvalues. Then find a basis of each eigenspaces, and diagonalize A, if you can. Do not use technology.
Find a basis of the linear space V of all matrices Afor which bothandare eigenvectors, and thus determine the dimension of.
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.
Rotation through an angle of in.
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