Discovery guide 32.1 Discovery guide
Discovery 32.1. Moving past triangular block form.
Suppose A is a square matrix. Recall that A is similar over C to a matrix T in triangular block form.
(a)
Suppose T is similar to some βsimplerβ matrix J. What then is the relationship between A and this new matrix J?
Relative to the title of this discovery activity, what is the point of this particular task?
(b)
Recall that a triangular block matrix T is a block-diagonal matrix
where each block Tj is in a particular form.
Suppose Q is a transition matrix that is also in block-diagonal form
where each block Qj has the same size as the corresponding block Tj in T.
Express Qβ1TQ in block form.
Relative to the title of this discovery activity, what is the point of this particular task?
(c)
Recall that each block Tj in a triangular block matrix T is in scalar-triangular form, and so can be decomposed as a sum of a scalar matrix Ξ»jI and a nilpotent matrix Nj:
(See (β) in Subsection 31.3.2.)
Simplify expression Qβ1j(Ξ»jI+Nj)Qj.
Relative to the title of this discovery activity, what is the point of this particular task?
Discovery 32.2.
Verify that a matrix that is similar to a nilpotent matrix must be nilpotent itself.
Discovery 32.3.
A matrix that is all zeros except for a line of ones down the first sub-diagonal is called elementary nilpotent form.
Suppose 4Γ4 matrix A is similar to the elementary nilpotent matrix
(a)
Compute the powers N2,N3,N4,β¦ of N. What is the pattern? What is the degree of nilpotency of N?
(b)
Discovery 32.2 says that A must also be nilpotent. What is the first power of A that is equal to the zero matrix?
(c)
What is the rank of A? What is the rank of A2? Continue with ranks of higher powers of A.
(d)
Repeat all tasks of this activity for 5Γ5 matrix A similar to the elementary nilpotent matrix
See if you can obtain the requested properties of A without calculations, just from the patterns of your previous results for 4Γ4 matrices A and N.
Discovery 32.4.
Suppose A is similar to the elementary nilpotent matrix
via similarity relation Pβ1AP=N.
(a)
Use Pattern 26.3.1 to determine the similarity pattern in the relation Pβ1AP=N:
(b)
Reinterpret the pattern you described in Task a:
(c)
Summarize the pattern of Task b: If A is a nilpotent matrix that we suspect is similar to an elementary nilpotent matrix, to determine a suitable transition matrix P we just need to find a suitable first column p1, and then set
(d)
Before even considering the linear independence of the columns that you filled in for Task c, what condition might be used to judge the βsuitabilityβ of the choice of first column p1?
The last fill-in-the-blank for Task b seems like it expresses a pretty specific condition about \(\uvec{p}_1\) relative to \(A\text{.}\) However, if \(A\) is similar to \(N\) then Task b of Discovery 32.3 showed us that we will have \(A^4 = \zerovec\text{,}\) so that particular condition from Task b will be true for every vector in \(\R^4\text{.}\)
Instead, consider the following. We know that it is possible for many different transition matrices to achieve the similarity relation between two specific, similar matrices. Suppose you already had a suitable first column to create one transition matrix \(P_1\) so that \(\inv{P}_1 A P_1 = N\text{.}\) Could you use any of the other columns from \(P_1\) as the first column in a new transition matrix \(P_2\text{,}\) and then fill in the rest of the columns of \(P_2\) according to your pattern in Task c? How would the pattern of Task b turn out in that case?
Discovery 32.5.
Let's try out the similarity patterns we discovered in Discovery 32.4.
The following 3Γ3 matrix A satisfies A3=0 but A2β 0:
(a)
Verify that p1=e1=(1,0,0) is not a suitable choice, with βsuitableβ as you described in Task d of Discovery 32.4.
(b)
Verify that p1=e2=(0,1,0) is a suitable choice.
(c)
Now suppose A is some nΓn nilpotent matrix with An=0 but Anβ1β 0. Use your experience from Task a and Task b to devise a strategy for choosing a suitable first column p1 for transition matrix P from amongst the standard basis vectors e1,e2,β¦,en.
Further refine your strategy based on your knowledge of the pattern of matrix-times-standard-basis-vector. (See Discovery 21.1, for example.)