Linear operations, tensor multiplication (36.1-36.20)
[20/75%]Verify the transformation law of the components of the sum of the tensors and , starting from the transformation law of the components of the summands.
How is the sum of linear transformations related to the sum of the corresponding tensors?
Let be the matrix of a linear transformation , and let be the matrix of a bilinear function in the basis . Is the sum defined? Will the correspondence assigning to each basis the sum of matrices be a tensor?
Tensors and of the same type have, in a basis , component matrices and . Find the components of the tensors:
(1) ;
(2) ;
(3) in the same basis, if:
. .
. .
. .
. .
Matrices of the components of four tensors are given. Determine whether the tensors are linearly dependent, if:
. .
. .
. .
What is the dimension of the vector space of tensors of type in a two-dimensional space?
Indicate some basis in .
Indicate another basis in .
To a basis of a two-dimensional vector space there corresponds a basis in the space of tensors of type:
(р)
The basis consists of tensors having, in the basis , one component equal to 1, and the rest equal to 0. How does the basis transform if the basis is transformed by the transition matrix ?
Verify the transformation law of the components of the tensor , starting from the transformation laws of the components of the factors .
Find the type and matrix of the tensor , if:
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Type of : , matrix of : , type of : , matrix of : . .
Write the matrix of the components of the tensor:
as the Kronecker product of the matrices of the components of these tensors.
Let be bivalent tensors with matrices . Of what type must these tensors be so that the matrix of their tensor product is the (right) Kronecker product:
Linear functions and are given in a basis by coordinate rows and . Find the matrix of the tensor:
;
.
What is the geometric meaning of these tensors?
A linear function is given in a basis by the coordinate row , and a vector by the column . Find the matrix of the tensor . What is the geometric meaning of this tensor?
Let be a vector, and a covector. Prove that .
Give an example of tensors and for which .
Let be vectors, and covectors. Which of the expressions below make sense? If the given expression is a tensor, indicate its type:
.
Find the components of the tensors from items 1, 3, 5, 7, 8 of problem 36.15, if the vectors and the covectors are given by means of columns and rows respectively: , . .
Let , and let the vectors and have, in the basis , components and respectively. Find the components of the tensor in the basis and in the basis , where . .
Let , and let the covectors and have, in the basis , coordinate rows and respectively. Find the components of the tensor in the basis and in the basis , where . .
Let , and let the vector and covector have, in the basis, components and respectively. Find the components of the tensor in the basis and in the basis , where . .
Compare the results of problems 1), 2), 3).
Decompose the tensor into a product of univalent tensors, if it has:
type and matrix . .
type and matrix . .
Let be a tensor of type whose component matrix has rank . Prove that there exist linearly independent vectors and linearly independent covectors such that .
State and prove an analogous statement for tensors of type .
Let a tensor of type have, in some basis, a matrix of rank . Prove that there exist linearly independent covectors and linearly independent covectors such that .
Represent the bilinear function as a product of linear ones. Is such a representation unique?
A bilinear function is given, in some basis of a vector space, by the matrix . Represent it as a sum of two products of pairs of linear functions: . Is this representation unique? .