Linear functions and mappings
[21/100%]Let be a sequence of linear maps of vector spaces. Prove that
Let be a field of elements. Find:
the number of linear maps of into the space ;
the number of linear injective maps of into ;
the number of linear surjective maps of into .
Let a linear map have, in the bases of the space and of the space , the matrix . Find the matrix of the map in the bases and .
Let (see 34.12), a field. Find the matrix of the linear map of the space into the space , where is a fixed matrix, if the basis chosen in is , and the basis in is the basis of matrix units.
Let be linear maps with . Prove that there exist operators on and such that , and (or ) may be chosen nonsingular.
Let be linear maps. Prove that the following conditions are equivalent:
;
for some operator on .
Let be linear maps. Prove that the following conditions are equivalent:
;
for some operator on .
Let be a linear map. Prove that there exists a linear map such that , .
Let , and let the maps of the space into be given by the rules
Prove that the systems:
;
;
; are bases of the dual space .
Prove that for every basis of the dual space there is a unique basis of the space for which the given basis is dual.
Find this basis in problem 36.9, a).
Find this basis in problem 36.9, b).
Prove that for any nonzero linear function on an -dimensional space there exists a basis of such that
for any coefficients .
Prove that every -dimensional subspace of an -dimensional space is the intersection of the kernels of some linear functions.
Let be a nonzero linear function on a vector space (not necessarily finite-dimensional), . Prove that:
is a maximal subspace of , i.e., it is not contained in any other subspace other than itself;
for any .
Prove that if two linear functions on a vector space have the same kernel, then they differ by a scalar factor.
Prove that linear functions on an -dimensional space are linearly independent if and only if the intersection of their kernels is the zero subspace.
Prove that the vectors of a finite-dimensional space are linearly independent if and only if there exist linear functions such that .
For every subset of a finite-dimensional space and every subset of the dual space , set
Prove that:
is a subspace of , and if is a subspace, then
if and are subspaces of , then if and only if ;
for any subspace of the space
Prove that the space of polynomials is not isomorphic to its dual.
Let be two linear functions on a linear space such that for all . Prove that one of the functions is zero.
Let be linear functions on a linear vector space over an infinite field. Prove that if for all , then one of the functions is zero.
Let be a finite field of elements, a subfield of of elements, . Prove that:
is a linear operator on regarded as a vector space over ;
the kernel of the operator consists of all elements of the form , ;
lies in the kernel of the operator if and only if the characteristic of the field divides .