Normal transformations (30.13-30.24)
[12/92%]Find the condition on the matrix of a transformation in an orthonormal basis, necessary and sufficient for to be normal.
For a normal transformation of the space , prove that:
;
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Prove that a transformation is normal if and only if every eigenvector of is also an eigenvector of .
Let be an eigenspace of a normal transformation . Prove that is invariant under .
Let and be eigenvectors of a normal transformation belonging to distinct eigenvalues. Prove that and are orthogonal.
Let be a normal transformation of a unitary space . Prove that
is the direct sum of pairwise orthogonal eigenspaces of the transformation .
In there exists an orthonormal basis of eigenvectors of .
Let there exist for a transformation an orthonormal basis of eigenvectors. Prove that it is normal.
Prove that the product of normal transformations is normal if they commute. Is the converse true?
Prove that a transformation of a unitary space is normal if and only if for every invariant subspace the subspace is also invariant.
A normal transformation is given in an orthonormal basis by the matrix . Find the transition matrix to an orthonormal basis of eigenvectors and the matrix of the transformation in this basis:
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Let the transformations and be normal, and . Does it follow that ?
Prove that:
for any complex matrix, the sum of the squares of the moduli of all elements is not less than the sum of the squares of the moduli of all eigenvalues (each counted with its multiplicity)
for a normal matrix, the sums mentioned in the first item are equal.