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Linear Algebra, 2020a

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462 Chapter Five. Similarity<br />

̌ 2.22 Find all possible Jordan forms of a transformation with characteristic polynomial<br />

(x − 2) 3 (x + 1) and minimal polynomial (x − 2) 2 (x + 1).<br />

2.23 Find all possible Jordan forms of a transformation with characteristic polynomial<br />

(x − 2) 4 (x + 1) and minimal polynomial (x − 2) 2 (x + 1).<br />

̌ 2.24 Diagonalize<br />

( )<br />

these.<br />

( )<br />

1 1 0 1<br />

(a)<br />

(b)<br />

0 0 1 0<br />

̌ 2.25 Find the Jordan matrix representing the differentiation operator on P 3 .<br />

̌ 2.26 Decide if these two are similar.<br />

( ) ( )<br />

1 −1 −1 0<br />

4 −3 1 −1<br />

2.27 Find the Jordan form of this matrix.<br />

( ) 0 −1<br />

1 0<br />

Also give a Jordan basis.<br />

2.28 How many similarity classes are there for 3×3 matrices whose only eigenvalues<br />

are −3 and 4?<br />

̌ 2.29 Prove that a matrix is diagonalizable if and only if its minimal polynomial has<br />

only linear factors.<br />

2.30 Give an example of a linear transformation on a vector space that has no<br />

non-trivial invariant subspaces.<br />

2.31 Show that a subspace is t − λ 1 invariant if and only if it is t − λ 2 invariant.<br />

2.32 Prove or disprove: two n×n matrices are similar if and only if they have the<br />

same characteristic and minimal polynomials.<br />

2.33 The trace of a square matrix is the sum of its diagonal entries.<br />

(a) Find the formula for the characteristic polynomial of a 2×2 matrix.<br />

(b) Show that trace is invariant under similarity, and so we can sensibly speak of<br />

the ‘trace of a map’. (Hint: see the prior item.)<br />

(c) Is trace invariant under matrix equivalence?<br />

(d) Show that the trace of a map is the sum of its eigenvalues (counting multiplicities).<br />

(e) Show that the trace of a nilpotent map is zero. Does the converse hold?<br />

2.34 To use Definition 2.10 to check whether a subspace is t invariant, we seemingly<br />

have to check all of the infinitely many vectors in a (nontrivial) subspace to see if<br />

they satisfy the condition. Prove that a subspace is t invariant if and only if its<br />

subbasis has the property that for all of its elements, t(⃗β) is in the subspace.<br />

̌ 2.35 Is t invariance preserved under intersection? Under union? Complementation?<br />

Sums of subspaces?<br />

2.36 Give a way to order the Jordan blocks if some of the eigenvalues are complex<br />

numbers. That is, suggest a reasonable ordering for the complex numbers.<br />

2.37 Let P j (R) be the vector space over the reals of degree j polynomials. Show<br />

that if j k then P j (R) is an invariant subspace of P k (R) under the differentiation<br />

operator. In P 7 (R), doesanyofP 0 (R), ..., P 6 (R) have an invariant complement?

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