Tensor Products of Spaces
[22/27%]Verify that is a linear space.
Let be the space of all polynomials in the variable with coefficients in the field , and let be the space of polynomials in and . Prove that the correspondence defines a linear isomorphism .
Let be the space of all polynomials of degree at most in the variable with coefficients in the field , and let be the space of polynomials in and of degree at most in and at most in . Prove that the correspondence defines a linear isomorphism .
Prove the associativity and commutativity (up to natural isomorphisms) of the tensor product operation on spaces.
Establish the natural isomorphism
Consider . Prove that the map
defines a linear map .
Let , and let and be some bases of the spaces and . Prove that , and that can be chosen as a basis.
Let there be given decompositions of spaces into direct sums: . Prove that (after the natural identification).
In a special case, the isomorphism between the tensor product and the space of tensors (see problem 1706) becomes the canonical isomorphism , where is the space of linear operators. Compute (first justifying independence of the dimension):
;
;
.
In the notation of the previous problem, find, for
where denotes composition of maps.
Let be the space of all polynomials of degree at most in the variable with real coefficients, and let the function , given by the formula
define a covector. Also consider the polynomials and . Find .
Show that , as defined in the theoretical part, is a well-defined linear map.
Let us denote and , where is a linear map. Prove that . In particular, the tensor power of an invertible operator is invertible.
For operators in the space , prove the formulas:
;
for invertible we have ;
, where .
Here denotes composition of maps.
Prove that , where is a linear operator.
Let be (not necessarily distinct) eigenvectors of the operator , corresponding to the eigenvalues respectively. Prove that is an eigenvector of the operator , corresponding to the eigenvalue .
Let the linear operator be reducible to diagonal form. Prove that in this case is also diagonalizable. Is the converse statement true?
Let be all the eigenvalues of the operator , taken with multiplicity, . Prove that the set of all eigenvalues of the operator , taken with multiplicity, consists of all possible products
Prove that , where is an operator in , .
Let the linear operators and have corresponding decompositions into invariant subspaces . Prove that is a decomposition into invariant subspaces for .
Let and be the differentiation operators in the spaces of polynomials and respectively. Determine the analytic meaning of the operator and find its Jordan form.
Find the Jordan form of the tensor product of two operators having the following Jordan forms:
;
.