Bilinear and quadratic functions
[81/63%]Which of the following functions of two arguments are bilinear functions on the corresponding spaces:
are columns, a field);
a field);
;
;
;
;
;
is the entry of the matrix ;
a vector space over ;
;
;
;
are continuous functions of the argument on the interval );
are differentiable functions on the interval , with ;
;
;
;
( is the cross product, is the sum of the coordinates of the vector in a given basis).
In the finite-dimensional spaces of problem 37.1, choose a basis and find the matrices of the corresponding bilinear functions:
are columns, a field);
, a field);
;
;
;
is the entry of the matrix (for fixed );
, a vector space over ;
;
;
;
( is the cross product, is the sum of the coordinates of the vector in a given basis).
Let be a field and the field of rational functions in the variable . Prove that the maps define automorphisms of order two in , where and .
Let be distinct primes. Prove that the real numbers of the form , where , form a subfield of . Check that the map
is an automorphism of order two in this field.
Let be a field with an automorphism of order two. Which of the following functions of two arguments are sesquilinear functions on the corresponding vector spaces:
are columns;
;
;
;
;
is the entry in position of the matrix ;
is the entry in position of the matrix ;
; applying the automorphism to a polynomial means applying it to all of its coefficients).
Find the matrix of the bilinear function in the new basis, given its matrix in the old basis and the transition formulas:
, , ,
Let a sesquilinear function on a two-dimensional complex space with basis be given by the matrix . Find the matrix of the function in the basis , where:
Let a bilinear function be given in some basis by the matrix . Find if:
Find the value of the sesquilinear function given in some basis of a complex space by the matrix , if:
Let be a bilinear function with matrix in some basis of the space , and let be a linear operator on with matrix . Find, in this basis, the matrix of the bilinear function , ), if:
.
Let be a sesquilinear function with matrix in some basis of a linear space , and let be a linear operator on with matrix . Find, in this basis, the matrix of the sesquilinear function , if:
.
Find the left and right kernels of the bilinear function given in the basis by the matrix:
;
.
Let and if , where . Find, in a two-dimensional vector space over , the left and right kernels of the sesquilinear function given in the basis by the matrix:
;
.
Find the left and right kernels of the bilinear function , where is a linear operator with matrix in an orthonormal basis of a Euclidean space:
;
.
Let be as in 37.13. Find the left and right kernels of the sesquilinear function , where is a linear operator with matrix , and is the sesquilinear function on the two-dimensional space having the identity matrix in the basis :
;
.
Let be a bilinear function with matrix on a vector space , and let be a subspace of . Find the left and right orthogonal complements of with respect to (i.e., the maximal subspaces and such that ), if:
;
.
With as in 37.13, let be a sesquilinear function with matrix on a vector space , and let be a subspace of . Find the left and right orthogonal complements of with respect to , if:
;
.
Let be a finite field of elements, with for all . Suppose is a finite field containing with . Prove that:
is an automorphism of order two in ;
the function
is a sesquilinear function on regarded as a vector space over ;
the function from b) is nondegenerate;
find the left and right orthogonal complements of in with respect to .
Let . Consider as a vector space over . Prove that:
;
the function , where the bar denotes complex conjugation, is a sesquilinear function on regarded as a vector space over ;
find the matrix of in the basis ;
prove that the function is nondegenerate;
find the left and right orthogonal complements of in with respect to .
Let be the field of rational functions with the automorphism under which , where .
Prove that the polynomial is irreducible over .
Prove that in the field , regarded as a vector space over , the function
is sesquilinear.
Find the matrix of in the basis of the space over the field .
Prove that the function is nondegenerate.
Find the left and right orthogonal complements of the linear span in .
Find a basis of such that , where .
For which of the following elementary transformations of a basis does the matrix of a bilinear function change in the same way as the matrix of a linear operator:
;
;
?
Find the relation between the matrices of the linear operators and the bilinear (sesquilinear) function in some basis of the space, and the matrix of the bilinear (sesquilinear) function
Prove that every bilinear (sesquilinear) function of rank 1 can be represented as the product of two linear functions (respectively, ). To what simplest form can the matrix of be reduced by a change of basis?
Let be two bases of a space , let be the transition matrix from to , and let be a bilinear (sesquilinear) function on with matrices and in these bases. Find the relation between the matrices .
Prove that the bilinear and sesquilinear functions on the space are nondegenerate.
Prove that the dimensions of the left and right kernels of a bilinear (sesquilinear) function coincide, but the kernels themselves need not coincide.
Let be a nondegenerate bilinear (sesquilinear) function on a space . Prove that for any linear function there is a unique vector such that for any , and that the map is an isomorphism of the spaces and .
Let be the matrix of a nondegenerate bilinear function on a real space of dimension .
Prove that for odd the matrix is not the matrix of in any basis of the space .
Is the assertion of a) true for even ?
Is the assertion of a) true for even when is a diagonal matrix?
Suppose that for a nonzero bilinear (sesquilinear) function on a space there is a number such that for any
(respectively, ). Prove that:
equals 1 or ;
if and are totally isotropic subspaces with respect to , having the same dimension, and , then the restriction of to their sum is a nondegenerate function;
if and are maximal totally isotropic subspaces with respect to and , then ;
if nondegenerate bilinear functions and satisfy the condition under consideration (with the same ) and with respect to each of them is the direct sum of two isotropic subspaces, then and are equivalent.
Let be a bilinear (sesquilinear) function on a space , and suppose that for any , implies . Prove that:
if is a bilinear function, then is either symmetric or skew-symmetric;
if is a sesquilinear function, then is either Hermitian or skew-Hermitian.
Let be bilinear (sesquilinear) functions on a space with basis . On the space with basis , define a bilinear function by setting
Find the matrix of the function in the given basis.
Prove that if the space is the direct sum of totally isotropic subspaces with respect to , then is the direct sum of totally isotropic subspaces with respect to .
Without performing computations, determine whether the following bilinear functions are equivalent:
, ;
, .
Reduce the following skew-symmetric bilinear functions to canonical form:
;
;
;
.
Reduce the skew-Hermitian function on a complex space to canonical form:
;
.
Prove that the function on the space of polynomials of degree vanishing at the points 0 and 1 is skew-symmetric, and find a canonical basis for it.
Prove that the determinant of an integer skew-symmetric matrix is the square of an integer.
Let be a skew-symmetric bilinear function on a space , let be a subspace of , and let be its orthogonal complement with respect to . Prove that is an even number.
Prove that for any skew-Hermitian complex matrix there is a nonsingular matrix such that is a diagonal matrix, with purely imaginary complex numbers on the main diagonal.
Let be a skew-symmetric bilinear function on a space , let be its kernel, and let be a maximal totally isotropic subspace. Prove the equality
Let be a nondegenerate skew-symmetric bilinear function on an -dimensional space , and let be a skew-symmetric matrix of order . Prove that there exist vectors such that .
Let be a Hermitian function on a complex space, . Prove the equality
Prove that the real and imaginary parts of a Hermitian function on a complex vector space are, respectively, a symmetric and a skew-symmetric function on regarded as a -dimensional real vector space.
Prove that if is a positive-definite Hermitian form on a complex space, then
Let be a linear operator and a positive definite Hermitian function on a complex vector space . Prove that if for every , then is the zero operator.
Is this statement true for symmetric bilinear functions on a real space ?
For which values of can a nondegenerate bilinear function on an -dimensional vector space have:
a totally isotropic subspace of dimension ;
a totally isotropic subspace of dimension ?
Derive a formula for the maximum possible dimension of a totally isotropic subspace.
Let be a symmetric matrix and let
be a differential operator on .
Prove that:
if
is a change of variables, then
where ;
there exists a nondegenerate linear change of variables in such that, in terms of the new variables ,
where .
Which of the bilinear functions from problem 37.1 are symmetric?
Which of the sesquilinear functions from problem 37.5 are Hermitian?
Is the function from 37.18(b) Hermitian?
Is the function from 37.20(b) Hermitian?
Without performing any calculations, determine whether the bilinear functions , .
Without performing any calculations, determine for which of the bilinear functions there exists a basis in which the matrix of this function is diagonal:
;
.
Prove that for orthogonal complements of subspaces with respect to a nondegenerate symmetric (Hermitian) function, the following equalities hold:
;
;
.
Find the orthogonal complement of the linear span with respect to the bilinear function with matrix , if:
.
Find the orthogonal complement of the linear span with respect to the Hermitian function with matrix , if:
Using Jacobi's method, find the canonical form of the symmetric bilinear functions:
;
.
Using Jacobi's method, determine the equivalence of the bilinear functions with matrices
over the field of real numbers;
over the field of rational numbers.
Which of the symmetric bilinear functions from problems 37.1 and 37.5 are positive definite?
For which values of are the following quadratic functions positive definite:
;
;
;
;
;
?
Prove that for any positive definite symmetric bilinear (Hermitian) function the inequality
holds, with equality if and only if , where are nonnegative real numbers not both zero.
Without using Sylvester's criterion, prove that for the positive definiteness of the quadratic function the condition is necessary but not sufficient.
For which values of are the quadratic functions negative definite:
;
;
;
?
Find the symmetric bilinear (Hermitian) function associated with the quadratic function:
;
;
;
.
Find the symmetric bilinear function associated with the quadratic function , where:
;
.
Are the quadratic functions equivalent over the field of real numbers:
and ;
and
Find the normal form of the quadratic functions:
;
;
;
;
;
;
, where not all the numbers equal
;
;
;
;
.
Are the quadratic functions equivalent over the field of complex numbers:
and ;
and ?
Let be a map from a real vector space to the field for which there exist quadratic functions and a bilinear function such that
for all and . Prove that is a quadratic function.
Let be linear functions. Prove that the positive index of inertia of the function
does not exceed , and the negative index does not exceed .
Find the positive and negative indices of inertia:
of the quadratic function on the space ;
of the quadratic function on the space .
Let be a nondegenerate symmetric bilinear (Hermitian) function on a space of dimension . Prove that if is not identically zero on a two-dimensional subspace , then there exists a three-dimensional subspace on which the restriction of is nondegenerate.
Let be a nondegenerate symmetric bilinear (Hermitian) function with negative index of inertia equal to 1, and for some vector . Prove that the restriction of to any subspace containing is nondegenerate.
Let be a nondegenerate symmetric bilinear (Hermitian) function on a space of dimension . Prove that every isotropic vector lies in the intersection of two two-dimensional subspaces, on each of which the restriction of is nondegenerate.
Prove that the dimension of a maximal isotropic subspace with respect to a nondegenerate symmetric bilinear (Hermitian) function equals the smaller of its positive and negative indices of inertia.
Find the positive and negative indices of inertia of a nondegenerate quadratic function on a -dimensional vector space possessing an -dimensional totally isotropic subspace.
Let a nondegenerate quadratic function on a -dimensional space vanish on an -dimensional subspace . Prove that:
there exists an -dimensional subspace such that
in some basis the function has the form
Prove that if in a symmetric matrix some principal minor of order is nonzero, while all the bordering principal minors of orders and are zero, then the rank of this matrix equals .
Prove that a real symmetric (complex Hermitian) matrix can be represented in the form (respectively ), where is a square matrix, if and only if all the principal minors of are nonnegative.
Find the dimension of the space of symmetric bilinear functions in variables.
To each (undirected) graph with vertices associate the quadratic function
by setting
and consider the graphs
(the number of vertices of the graph equals , and of the graph equals ). Prove that for the graphs the function is positive definite, while for the graphs it is positive semidefinite: for every .
Let be a nondegenerate quadratic function on a space over an arbitrary field . Prove that if there exists a nonzero vector for which , then the map is surjective.
Let be a Hermitian positive semidefinite function, with for some . Prove that for all .
Let be a positive definite Hermitian function, with for some . Prove that .