Jordan canonical form and its applications. Minimal polynomial
[47/66%]Find the Jordan form of the matrix:
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, where .
Prove that the Jordan form of the matrix equals , where is the Jordan form of the matrix .
Let be a Jordan block of order with entry on the main diagonal.
Find the matrix , where is a polynomial.
Find the Jordan form of the matrix .
Find the Jordan form of the matrix
Find the Jordan form of the matrix:
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is a nonsingular matrix); if has Jordan form .
Find the Jordan form of the matrix and determine the geometric meaning of the corresponding linear operator , if:
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Prove that every periodic complex matrix is similar to a diagonal matrix, and find the form of this diagonal matrix.
Prove that a matrix is nilpotent if and only if all its characteristic numbers equal zero.
Prove that for every linear operator of rank 1 on a complex vector space there exists a number such that .
Find the Jordan form of the matrix of a linear operator and a basis in which has this matrix, if in the basis the operator is given by the matrix:
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Find the Jordan form of the matrix of a linear operator on a complex vector space having only one invariant line.
Prove that the maximal number of linearly independent eigenvectors of a linear operator with eigenvalue equals the number of blocks with diagonal entry in the Jordan form of the matrix of the operator .
Prove that the set of linear operators on an -dimensional complex vector space that commute with a given operator is a vector space of dimension .
Prove that if a linear operator on a complex vector space commutes with every linear operator that commutes with the operator , then is a polynomial in .
Prove that if matrices and satisfy the relation , then the matrix is nilpotent.
On the space of complex polynomials of degree at most 2 in and , the operator acts. Find the Jordan form of the operator .
On the space of complex polynomials in of degree at most , the operator acts. Find the Jordan form of .
Prove that any matrix is similar to its transpose.
On the space consider the linear operator , where and is a fixed matrix from . Find the Jordan form of the operator , given the Jordan form of .
Prove that for any nonsingular square complex matrix and any natural number , the equation has a solution.
Solve the equations:
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Using Jordan form and problems 17.7-17.9, compute:
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Find the minimal polynomial of a diagonal matrix with distinct entries on the main diagonal.
Find the minimal polynomial of a Jordan block of order with the number on the main diagonal.
Prove that the minimal polynomial of a block-diagonal matrix equals the least common multiple of the minimal polynomials of its blocks.
Find the minimal polynomial:
of the identity operator;
of the zero operator;
of the projection operator of an -dimensional space onto a -dimensional subspace ;
of a reflection operator;
of a nilpotent operator of index ;
of the operator from 40.31(a);
of the operator from 40.31(b);
of the operator from 40.32(a);
of the operator from 40.32(b);
of the operator from 40.40;
of the operator from 41.16.
Find the minimal polynomial of the matrix:
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Let a linear operator have, in the basis of the space , the matrix
Find the minimal polynomial of the operator and decompose the space into a direct sum of invariant subspaces corresponding to the factorization of the minimal polynomial into coprime factors.
Prove that the minimal polynomial of a matrix of order and rank 1 has degree 2.
What can be said about the Jordan form of the matrix of a linear operator on a complex space if ?
Prove that some power of the minimal polynomial of a matrix is divisible by its characteristic polynomial.
Prove that for two matrices to be similar it is necessary, but not sufficient, that they have the same characteristic and minimal polynomials.
Prove that if the degree of the minimal polynomial of a linear operator equals the dimension of the space, then every operator commuting with is a polynomial in .
A linear operator is called semisimple if every invariant subspace has an invariant complementary subspace.
Prove that:
the restriction of a semisimple operator to an invariant subspace is also a semisimple operator;
a linear operator is semisimple if and only if the space is a direct sum of minimal invariant subspaces;
if for a linear operator there exists a decomposition of the space into a direct sum of invariant subspaces, on each of which the restriction of the operator is semisimple, then is semisimple on the whole space.
Prove that if the minimal polynomial of a linear operator in a space is a product of coprime polynomials and , then can be decomposed into a direct sum of two invariant subspaces such that the restrictions of the operator to these subspaces have minimal polynomials and respectively.
Prove that for any linear operator there exists a decomposition of the space into a direct sum of invariant subspaces such that the minimal polynomials of its restrictions to these subspaces are powers of distinct irreducible polynomials.
Prove that if the minimal polynomial of a linear operator is an irreducible polynomial of degree , then for any the vectors form a basis of the minimal invariant subspace.
Prove that a linear operator is semisimple if and only if its minimal polynomial has no repeated irreducible factors.
Prove that a linear operator in a vector space over a field of characteristic 0 is semisimple if and only if it has an eigenbasis over some extension of the field .
Prove that the sum of two commuting semisimple linear operators over a field of characteristic 0 is a semisimple operator.
Let be a linear operator in a vector space over a field of characteristic 0, and let be the ring of linear operators representable as polynomials in . Prove that if the minimal polynomial of the operator is a power of an irreducible polynomial , then:
the elements of the ring divisible in this ring by the element form an ideal distinct from ;
for every operator the minimal polynomial of the operator is divisible by
there exists an operator such that the minimal polynomial of the operator equals .
Prove that every linear operator in a vector space over a field of characteristic 0 can be represented as a sum of a semisimple and a nilpotent operator, both of which are polynomials in .
Prove that every linear operator can be uniquely represented as a sum of commuting semisimple and nilpotent operators.
Prove that if the degree of the minimal polynomial of a linear operator in a vector space over a field equals the dimension of the space and is a power of a polynomial irreducible over , then:
cannot be decomposed into a direct sum of two invariant subspaces;
is cyclic with respect to .
Let be the eigenvalues of a matrix .
Prove that:
for any natural number
the coefficients of the characteristic polynomial of the matrix are polynomials in ;
if , then the matrix is nilpotent.
Let
and . Prove that for the Jordan block the following equality holds .
Prove that every complex matrix is similar to a symmetric matrix.