Linear algebra (Osnabrück 2024-2025)/Part I/Exercise sheet 17



Exercise for the break

Let be an invertible -matrix. Show




Exercises

Let be an -matrix, and be an -matrix, where the columns of are linearly dependent. Show that the columns of are also linearly dependent.


Check the multiplication theorem for determinants of the following matrices


Confirm the multiplication theorem for determinants for the matrices


The next exercises use the following definition.

Let be a vector space over a field . For , the linear mapping

is called homothety (or dilation)

with scaling factor .

What is the determinant of a homothety?


Check the multiplication theorem for determinants of two homotheties on a finite-dimensional vector space.


The following exercises use the concept of a group homomorphism.

Let and denote groups. A mapping

is called group homomorphism, if the equality

holds for all

.

Let be a field, and . Show that the determinant

is a surjective group homomorphism.


Let be a field, and let with . Define an injective group homomorphism


We consider the matrix

Show that this matrix defines a group homomorphism from to , and from to as well. Study this group homomorphism with respect to injectivity and surjectivity.


Let be an -matrix with entries in , and let

denote the corresponding group homomorphism. Show that is bijective if and only if the determinant of equals or equals .


Prove that you can expand the determinant according to each row and each column.


Compute the determinant of the matrix

by expanding the matrix along every column and along every row.


Let be a finite-dimensional -vector space, and let denote linear mappings. Show .


Solve the linear system

with Cramer's rule.


We consider the matrix

Solve the linear system using Cramer's rule (check first that we may apply this rule).




Hand-in-exercises

Exercise (8 (3+1+1+1+2) marks)

The Sarrusminant of a -matrix is computed by repeating the first columns of the matrix in the same order behind the matrix, and then by adding up the products of the diagonals and subtracting the products of the antidiagonals. We restrict to the case . That is, for a matrix

we consider

and the Sarrusminant is

  1. Show that the mapping

    is multilinear (in the rows of the matrix).

  2. Show that, for -matrices that contain a zero-row, the Sarrusminant is .
  3. Show that, for -matrices that contain a zero-column, the Sarrusminant is .
  4. Show that, for an upper triangular matrix, the Sarrusminant is the product of the diagonal elements.
  5. Show that the Sarrusminant is not alternating.
  6. Give an example for an invertible matrix, where the Sarrusminant equals .
  7. Give an example for a not-invertible matrix, where the Sarrusminant equals .


Exercise (4 marks)

Check the multiplication theorem for the determinants of the following matrices


Exercise (3 marks)

Solve the linear system (over )

using Cramer's rule.


Exercise (8 marks)

Let be a finite-dimensional vector space over the complex numbers , and let

be a -linear mapping. We consider also as a real vector space of double dimension. is also a real-linear mapping, which we denote by . Show that between the complex determinant and the real determinant, the relation

holds.



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