Bilinear and quadratic functions
[47/66%]Form the matrix of the given bilinear form and write the corresponding quadratic form in an -dimensional vector space:
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Recover the symmetric bilinear form in an -dimensional vector space from the given quadratic form and form its matrix:
Write the quadratic form having the given matrix:
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Recover the symmetric bilinear function from the quadratic function it generates.
Prove that any bilinear function can be uniquely represented as a sum , where , and . Prove that then .
How will the matrix of a bilinear (quadratic) function change if the basis is changed as follows:
swap the -th and -th basis vectors
multiply the -th basis vector by a number
replace the vector by
arrange the basis vectors in reverse order?
A quadratic function and a linear transformation have the same matrices in some basis. What must the transition matrix from this basis to another basis be, in order that the matrices of the quadratic function and the linear transformation coincide in the other basis as well?
A quadratic function is given in the basis . Write this quadratic function in the basis :
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Reduce the given quadratic form to canonical form using Lagrange's method or elementary transformations of its matrix. Find the rank, the positive and negative indices of inertia, and the signature of this form:
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Determine which quadratic forms from problem 32.8 are positive definite, negative definite, semidefinite:
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Reduce the given bilinear form to canonical form:
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Prove that a nonsymmetric bilinear function cannot be reduced to diagonal form.
Reduce a quadratic form depending on a real parameter to canonical form for all possible values of :
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Reduce the given quadratic form to canonical form in an -dimensional space:
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Prove that for the positive definiteness of a quadratic function any one of the following conditions is necessary and sufficient:
for any basis
reduces to diagonal form with positive coefficients
reduces to the canonical form .
Show that for the positive definiteness of a quadratic function, the positivity of all diagonal elements of its matrix in some basis is necessary but not sufficient.
Prove that a quadratic form is negative definite if and only if the signs of the principal minors of its matrix alternate as follows:
Let the rank of a quadratic function in an -dimensional vector space equal . Prove the statements:
in there exists a basis in which the principal minors of the matrix of the function are nonzero for and equal zero for .
let in some basis the principal minors of the matrix of the function be nonzero. Then reduces to the diagonal form and to the canonical form , where .
For which values of the parameter is the given quadratic form positive definite, negative definite, or semidefinite:
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Let be a quadratic function on a vector space . Is the set of all vectors from for which a linear subspace of ? Consider the examples and .
In the matrix of a positive definite quadratic form, one diagonal element was increased. Prove that the determinant of the matrix increased.
Prove that in the matrix of a positive definite quadratic form the largest element in absolute value is positive.
Prove that in the vector space of real square matrices of order the function is a positive definite quadratic function.
Prove that in the vector space of real square matrices of order the function is a quadratic function. Find its rank and signature.
Prove that the function
is a symmetric bilinear function in the space of polynomials of degree at most . Reduce it to canonical form for .
Prove that the rank of a bilinear function equals 1 if and only if this function is the product of two nonzero linear functions.
Prove that for a quadratic function to be representable as the product of two real linear functions, it is necessary and sufficient that either the rank of this quadratic function not exceed 1, or the rank equal 2 with signature equal to zero.
Under what necessary and sufficient condition can the quadratic functions and be reduced to one and the same canonical form?
Let be a bilinear function on a vector space . Call the function invariant with respect to a linear transformation of the space if for all . Prove that is invariant with respect to if and only if their matrices ( and , respectively) in some basis satisfy the equality .
Find all linear transformations of a two-dimensional space with respect to which the bilinear form is invariant:
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A quadratic (bilinear) function is written in an orthonormal basis of an -dimensional Euclidean space. Find an orthonormal basis in which the given function has diagonal form, and write this diagonal form.
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Find the canonical form, rank, and signature of each of the quadratic and bilinear forms of problem 32. 27:
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Prove that a quadratic form is positive definite if and only if all the characteristic numbers of its matrix are positive, and negative definite if and only if they are negative.
Let all the characteristic numbers of a real symmetric matrix belong to the interval . Prove that the quadratic form with matrix is positive definite for and negative definite for .
Prove that a quadratic form is positive definite if and only if all the coefficients of the characteristic polynomial of its matrix are nonzero and the signs of these coefficients alternate, with the constant term positive.
Prove that the linear transformation of a Euclidean space associated with a symmetric bilinear function given on it is self-adjoint.
Let in some basis a bilinear function have symmetric matrix , and let the Gram matrix of the basis equal . Find the matrix of the transformation associated with the function .
In a basis of a Euclidean space, a quadratic form is given. Find, in the same basis, the matrix of the transformation associated with it, if the Gram matrix of the basis equals :
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Let in some basis of an -dimensional Euclidean space with Gram matrix a quadratic function have matrix . Prove that an orthonormal basis in which is diagonal, and its diagonal coefficients in this basis, are found as the solution of the generalized eigenvalue-eigenvector problem: ().
Let -dimensional linear subspace of an -dimensional Euclidean space. The function equals the square of the length of the orthogonal projection of the vector onto the subspace . Prove that the function is quadratic. Find the diagonal form that this function has in some orthonormal basis.
Verify that at least one of the two given quadratic forms is sign-definite. Find a change of coordinates reducing these two forms simultaneously to diagonal form, and write this diagonal form for both forms.
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Prove that if among the linear combinations of two quadratic functions there is a positive definite one, then these two functions are simultaneously reducible to diagonal form. Show by an example that this condition is not necessary.
In some basis of an -dimensional vector space, the quadratic functions and have matrices and , respectively. Let, in the basis given by the transition matrix from the basis , the function have canonical form , and the function have diagonal form . Prove that:
the vectors of the basis are found from the system of equations o for each root of the equation .
Without finding the change of coordinates that reduces a positive definite quadratic form to canonical form, and a quadratic form to diagonal form, find this diagonal form of .
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Show that:
if is a bilinear function in an -dimensional complex arithmetic space, then the function is Hermitian bilinear
if b (x, y) is a Hermitian bilinear function in the space , then is a bilinear function.
Reduce the following quadratic forms to canonical form:
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Form the matrices of the given Hermitian bilinear forms in an -dimensional space:
Which of the Hermitian bilinear forms in problem 32. 42 are symmetric? Write the corresponding Hermitian quadratic forms.
Write the Hermitian quadratic form having the given matrix:
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A Hermitian quadratic form is written in an orthonormal basis of an -dimensional unitary space. Find an orthonormal basis in which the given Hermitian quadratic form has diagonal form, and write this diagonal form:
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Recover the symmetric Hermitian bilinear function from the Hermitian quadratic function .
Prove that in the vector space of complex matrices of order the function is a positive definite Hermitian quadratic function.