Transposition, symmetrization, alternation. Symmetric and antisymmetric tensors (36.30-36.57).
[28/71%]Can one transpose the tensor:
of type
of type ?
One tensor of type is obtained from another by transposition. How are the corresponding bilinear functions related?
Tensors
are given, respectively, by the matrices . Find the matrices of the transposed tensors. .
How many distinct tensors can be obtained by means of the transposition operation from a given tensor
A tensor of type is given by the matrix . Write out the matrices of all tensors obtained from it by transposition. Will the answer change if the given tensor has type . .
A tensor with components is given by the matrix . Write out the matrices of the transposed tensors and , if . .
A tensor with components is given by the matrix . Write out the matrices of the transposed tensors and , if . .
Let be tensors of type . Express the tensor in terms of .
Without using the shortened notation, write out all the components of the tensors given in the space :
A tensor is given by the matrix:
. .
. .
. .
. .
Find the components of the tensors:
(1) ;
(2) .
A tensor is given by the matrix:
. .
. .
. .
Find the components of the tensors:
(1) ;
(2) ;
(3) ;
(4)
A tensor is given by the matrix:
. .
. .
Find the components of the tensors:
(1) ;
(2) ;
(3) .
A tensor is given by the matrix:
. .
. .
. .
Find the components of the tensors:
(1) ;
(2) ;
(3) .
A tensor is given by the matrix:
. .
. .
Find the components of the tensors:
(1) ;
(2) ;
(3) .
A tensor is given by the matrix:
. .
. .
Find the components of the tensors:
(1) ;
(2) .
A tensor of type is given by the matrix:
. .
. .
. .
. .
. .
Determine whether the tensor is symmetric (antisymmetric), and if so, with respect to which indices.
A tensor is given by the matrix :
. .
. .
Compute the invariants:
(1) ;
(2) ;
(3) .
Compare the invariants found with the coefficients of the characteristic polynomial of the matrix .
Prove that the tensor (see problem 35. 21) is skew-symmetric with respect to any pair of indices.
Prove that the tensor is skew-symmetric with respect to any subset of the set of indices.
Prove that the tensor (see problem 35. 20) is skew-symmetric with respect to any pair of upper indices.
Prove that the tensor is skew-symmetric with respect to any subset of the set of upper indices.
Prove statement 4) for lower indices.
Let and be the components of a symmetric and an antisymmetric tensor, respectively. Compute the contraction .
For the tensor , defined in problem 35. 20, and arbitrary tensors and , prove that:
;
.
Let for any vector . Prove that .
Prove that , .
Compute:
.
Let a tensor be symmetric with respect to some pair of indices. Prove that the symmetrization operation with respect to these indices does not change the tensor, while the alternation operation gives the zero tensor.
Let a tensor be antisymmetric with respect to some pair of indices. Prove that the symmetrization operation with respect to these indices gives the zero tensor, while the alternation operation does not change the tensor.
Prove that for a tensor symmetric with respect to the first two indices, the identity holds
Prove that for a tensor antisymmetric with respect to the first two indices, the identity holds
A tensor of type is symmetric with respect to the first two and symmetric with respect to the last two indices. Prove that it is also symmetric with respect to the first and third indices.
A tensor of type is antisymmetric with respect to the first two and antisymmetric with respect to the last two indices. Prove that it is also antisymmetric with respect to the first and third indices.
Let a tensor of type be symmetric with respect to the first two indices and antisymmetric with respect to the last two indices. Prove that it is zero.
Give an example of a tensor of type for which , but which is not symmetric with respect to the three indices.
Give an example of a tensor of type for which , but which is not antisymmetric with respect to the three indices.
Prove that for a nonzero tensor of type it is possible for the equalities and to hold simultaneously.
Prove that any tensor of type or can be decomposed into a sum of a symmetric and an antisymmetric tensor.
Decompose into a sum of a symmetric and an antisymmetric tensor the tensor of type given by the matrix:
. .
. .
. .
From the Kronecker symbol, using tensor operations, obtain the tensors:
;
(see problems ).
Let a symmetric tensor of type have, in some basis, a matrix of rank . Prove that there exist linearly independent covectors , such that .
State and prove the converse statement.
A quadratic function on is given by the matrix . Represent it as a sum of the squares of two linear functions. Is this representation unique? .