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Linear algebra (Osnabrück 2024-2025)/Part II/Exercise sheet 31

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Exercises

Show that the standard inner product on is indeed an inner product.


Let be a -vector space, endowed with an inner product , and let denote a linear subspace. Show that the restriction of the inner product to is again an inner product.


Let be a complex vector space, endowed with an inner product . Show that the real part of this inner product is an inner product on the underlying real vector space.


Let denote a bilinear form on , with the values , , , and . Compute . Is it an inner product?


Let

be given by , and . Compute in the sense of Example 31.6 .


Let be a closed real interval with , and let . For and , let

What properties of an inner product

does satisfy? What relation exists between and the inner product from Example 31.6 ?


Let and be real vector spaces, endowed with inner products. Show that by

an inner product is defined on the product space .


Let denote a vector space over , endowed with an inner product . Let denote the associated norm. Show that the so-called Parallelogram law holds, that is,


Let be a real vector space, endowed with an inner product . Show that in the estimate

of Cauchy-Schwarz, equality holds if and only if and are linearly dependent.


Let denote a vector space over , endowed with an inner product . Let denote the associated norm.

a) Show that, in the case , the relation

holds.


b) Show that, in the case , the relation

holds.


Let be a complex vector space, endowed with an inner product . Show that the norm of this inner product coincides with the norm arising by considering as a real vector space, endowed with the corresponding real inner product.


Show that the maximum norm on is a norm.


Show that the sum norm on is a norm.


Determine, for the vector

the corresponding normed vector with respect to the Euclidean norm, the maximum norm, and the sum norm.


Let . Show that the norm on does not come from an inner product .


Let be a normed vector space over . Show that , considered as a real vector space, is, with this norm, also a normed vector space.


Show that a normed -vector space is via

also a metric space.


We consider the two points and in . Determine the distance between these points with respect to the

a) the Euclidean metric

b) the sum metric,

c) the maximum metric.

d) Compare these different distances according to their size.


Let be a metric space, , and a positive real number. Then

is called the open ball

about with radius .

Let denote a set, , and the -fold product set of with itself.

a) Show that

defines a metric on .


b) For , and , determine the distance .


c) For , and , list all elements in the open ball .


Let be the set of all train stations in Germany. For , define

to be the shortest (in terms of scheduled time) connection from to . Is this a metric?


Let be the union of the -axis and the -axis.

a) Define the distance on given by the shortest connection between the two points by a path on .


b) Show that this is a metric.


c) Does there exist a norm on such that the restriction of the corresponding metric coincides with the given connecting metric?


Let be a normed -vector space, and let denote an affine space over . Show that becomes a metric space by setting


Let be a set, and let

denote a function. Then

is called the supremum (or the supremum norm) of . It is a nonnegative real number,

or .

Let be a set, and let

denote the set of bounded complex-valued functions on . Show that is a complex vector space.


Let be a set, and let

be the set of all bounded complex-valued functions on . Show that the supremum norm on fulfills the following properties.

  1. for all .
  2. if and only if .
  3. For , and , we have
  4. For , we have


Let be a set, and let be a Euclidean vector space. Let

be the set of all bounded mappings from to . Show that the supremum norm on is a norm.


Let be a set, and let be a Euclidean vector space. Let

be the set of all bounded mappings from to . Show that a sequence in converges uniformly to if and only if this sequence converges to in with respect to the supremum norm.




Hand-in-exercises

Exercise (4 marks)

Let

with and . Compute in the sense of Example 31.6 .


Exercise (2 marks)

Let be a real vector space, endowed with an inner product . Confirm the identity


Exercise (4 marks)

Let . Show that , endowed with the mapping

is a Euclidean vector space.


Exercise (5 marks)

Let points in the unit disk be given, that is, . Show that there exists a point fulfilling the property


Exercise (3 marks)

Let be vectors fulfilling and . Show that there exists an such that holds.



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