Chapter 7: Q38E (page 324)
We are told that is an eigenvector of the matrix what is the associated eigenvalue?
Short Answer
Hence, the required eigenvalue is
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Chapter 7: Q38E (page 324)
We are told that is an eigenvector of the matrix what is the associated eigenvalue?
Hence, the required eigenvalue is
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If is an eigenvector of matrix A with associated eigenvalue 3 , show that is an image of matrix A .
If is an eigenvector of matrix A, show that is in the image of A.or in the kernel ofA.
For which matrices A does there exist a nonzero matrix M Such that ,where Give your answer in terms of eigenvalues of A.
27: a. Based on your answers in Exercises 24 and 25, find closed formulas for the components of the dynamical system
with initial value . Then do the same for the initial value . Sketch the two trajectories.
b. Consider the matrix
.
Using technology, compute some powers of the matrix A, say, A2, A5, A10, . . . .What do you observe? Diagonalize matrix Ato prove your conjecture. (Do not use Theorem 2.3.11, which we have not proven
yet.)
c. If
is an arbitrary positive transition matrix, what can you say about the powers Atas t goes to infinity? Your result proves Theorem 2.3.11c for the special case of a positive transition matrix of size 2 × 2.
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 Exercises 1 through 20, find all (real) eigenvalues. Then find a basis of each eigenspace, and diagonalize A, if you can. Do not use technology
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