Consequences of Generalized Eigenspace Decomposition
[14/0%]Suppose is the operator defined by . Prove that does not have a square root.
Define by .
Show that is nilpotent.
Find a square root of .
Suppose is a complex vector space. Prove that every invertible operator on has a cube root.
Suppose is a real vector space. Prove that the operator on has a square root if and only if is an even number.
Suppose is the operator defined by . Find a Jordan basis for .
Find a basis of that is a Jordan basis for the differentiation operator on defined by .
Suppose is nilpotent and is a Jordan basis for . Prove that the minimal polynomial of is , where is the length of the longest consecutive string of 1's that appears on the line directly above the diagonal in the matrix of with respect to .
Suppose and is a basis of that is a Jordan basis for . Describe the matrix of with respect to this basis.
Suppose is nilpotent. Explain why there exist and nonnegative integers such that (a) and (b) below both hold.
is a basis of .
.
Suppose and is a basis of that is a Jordan basis for . Describe the matrix of with respect to the basis obtained by reversing the order of the 's.
Suppose . Explain why every vector in each Jordan basis for is a generalized eigenvector of .
Suppose is diagonalizable. Show that is a diagonal matrix with respect to every Jordan basis for .
Suppose is nilpotent. Prove that if are vectors in and are nonnegative integers such that
and
then is a basis of . This exercise shows that . Thus the positive integer that appears above depends only on and not on the specific Jordan basis chosen for .
Suppose and . Prove that there does not exist a direct sum decomposition of into two nonzero subspaces invariant under if and only if the minimal polynomial of is of the form for some .