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Linear algebra (Osnabrück 2024-2025)/Part II/Exercise sheet 33

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Exercises

Compute the cross product

in .


Compute the cross product

in .


Compute the cross product

in , where denotes the field with five elements.


Compute the cross product

in , where is the field with seven elements.


Let be a field. Show that the cross product on is bilinear and alternating.


Show that the cross product for vectors fulfills the relation


Let be an orthonormal basis of . Show that holds.


Show that, over an arbitrary field , for linearly independent vectors and , the family consisting of , and the cross product does not necessarily form a basis of .


Determine the isometries on .


What kind of isometries on do you know from school?


Let denote -vector spaces, both endowed with an inner product, and let be an isometry. Show that is injective.


Let be -vector spaces, each endowed with an inner product. Show the following statements.

a) The identity is an isometry.


b) If is a bijective isometry, then the inverse mapping is also an isometry.


c) If and are isometries, then the composition is also an isometry.


Determine the isometries on .


Let be a -vector space, endowed with an inner product. Let

be an isometry, and let be a -invariant linear subspace. Show that

is also an isometry.


Let be a Euclidean vector space of dimension . Show that a family of vectors is an orthonormal basis of if and only if the corresponding linear mapping

is an isometry between and .


Let and be Euclidean vector spaces, and let

denote a linear mapping. Show that the following statements are equivalent.

  1. is an isometry.
  2. For every orthonormal basis , , of , , , is part of an orthonormal basis of .
  3. There exists an orthonormal basis , , of such that , , is part of an orthonormal basis of .


Give an example of a bijective linear mapping

with the property that, on one hand, there exists an orthogonal basis of that is mapped under to an orthogonal basis, and, on the other hand, there exists an orthogonal basis that is not mapped to an orthogonal basis.


Let be a Euclidean vector space. Let

denote a linear mapping with the property that the determinant of equals or . Moreover, satisfies the property that orthogonal vectors are mapped to orthogonal vectors. Show that is an isometry.


Give an example of a bijective linear mapping

that is not an isometry but fulfills for all the relation


Give an example of a linear mapping

such that is area-preserving but not an isometry.


Give an example of a linear mapping

that is not an isometry and such that its order is .


Let be a field, and . Show that the set of invertible matrices is a group. Moreover, show that this group is, for , not commutative.


Let be a Euclidean vector space, and let

denote a linear mapping. Show that the following statements are equivalent.

  1. is an isometry.
  2. For every vector with , we also have .
  3. For every orthonormal basis , also , is an orthonormal basis.
  4. There exists an orthonormal basis , such that also , is an orthonormal basis.




Hand-in-exercises

Exercise (2 marks)

Compute the cross product

in , where denotes the field with seven elements.


Exercise (3 marks)

Let be a Euclidean vector space. Show that the set of all isometries on forms a group under the composition of mappings.


Exercise (2 marks)

Let

be a proper isometry. Suppose that is trigonalizable. Show that is already diagonalizable.


Exercise (3 marks)

Let denote complex vector spaces, each endowed with an inner product, and let

denote a linear mapping. Show that is an isometry with respect to the given complex inner products if and only if is an isometry with respect to the corresponding real inner products.



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