Functional analysis/Vector spaces


This page includes the vector spaces used in the course.

Defining: vector space

edit

Be   a field and   a commutative group. It is called   a  -vector space when an image is   with  , is defined which meets the following axioms   and   arbitrary .

  • (ES)   (scalar multiplication with the neutral element of the field)
  • (AMS)   (associative scalar multiplication)
  • (DV)   (distributive for vectors)
  • (DS)   (distributive for scalars)

End-dimensional vector spaces 1

edit

Be  , then is

  •   a finite dimensional  -vector space of dimension  ,
  •   a finite dimensional  -vector space of dimension  ,
  •   a finite dimensional  -vector space of dimension  ,

Learning Tasks

edit
  • ''(Distinction between operations -  -Algebra) What are the characteristics of a  -vector space and a  -Algebra? Distinguish between three types of multiplication in a  -Algebra and identify in the defining properties of the   vector spaces or the   algebra according to these types of multiplication.
    • Multiplication in field  ,
    • scalar multiplication as a binary function from   to  ,
    • Multiplication of elements from vector space as an inner link in a   algebra,
  • '(Multiplications - Hilbert space) Be   or  . By which properties are different a  -vector space and a Hilbert space over the field  ? Distinguish three operations in a  -Hilbert space and compare the defining properties of a multiplication as an inner link in a  -Algebra with the properties of a scalar product in an Hilbert space above the field  . What similarities and differences do you notice?

Finite dimensional vector spaces 2

edit

Be  , then is

  •   (  matrices with components in  ) a finite dimensional  -vector space of the dimension  ,
  •   (  matrices with components in  ) a finite dimensional  -vector space of the dimension  ,
  •   (  matrices with components in  ) a finite dimensional  -vector space of the dimension  ,

Infinite-dimensional vector spaces of functions 1

edit

Be   the set of constant (engl. continuous) functions of the interval   in the field   as a range of values. Then

  •   an infinite dimensional  -vector space,
  •   an infinite dimensional  -vector space,
  •   an infinite dimensional  -vector space.
edit

The internal link is defined as follows:

  with   and   for all  .

The external feature is likewise defined by the multiplication of the function values with the scalar for each  rt:

  with   and   for all  .

Vector Space of Continuous Functions

edit

The compactness of the definition range   makes the space   of the steady functions of   according to   with the standard

 

to a standardized vector space (see also norms, metrics, topology). With the semi-standards

 

becomes   a local convex topological vector space.

Infinite-dimensional vector spaces of sequences 3

edit

Be   a field, then designated

  •   the following sequences are set in  .
  •  , the sequences set in  , which are all components of sequence 0 from an index barrier.
  •   set convergent sequences to 0
  •  , the set of convergent consequences in  .

Infinite-dimensional vector spaces of sequences 4

edit

Let   be a field, then we define the following vector spaces:

  •  , the set of all sequences in  , that are absolute convergent   iss a normed vector space with the norm  ).
  •   is the space all sequences in  , that absolute p -summable. For   the space is a normed space. For   the space is a metric space with the metric  , the topology can also be created with a  -norm  
  •   is the set of all bounded sequences in   .   is a normed space.

Infinite-dimensional vector spaces of sequence 5

edit

Let   a field and   a monotonic non-increasing sequence with   for all  , the we denote

  •   as the set of all sequences in   for which the sequence   is absolute convergent.
  • For the space   we define with the following  -seminorms   for sequences  
  •   is a pseudoconvex vector space with the  -seminorm system  
  • Please note, that for all  -seminorms the index   for the the exponent   is fixed for every index   of the sequence.

Impact spaces in normed vector space

edit

Let   be a normed vector space. We now consider consequences in the vector space  3:

  •  4 is the set of the sequences in the vector space  5, in which from an index cabinet all the sequence elements are equal to the zero vector from  6.
  •  7 is the set of zero sequences, the sequences relating to the standard  8 converging against the zero vector, i.e.:
 9
  •  0 is the set of convergent consequences in  1, the consequences relating to standard  2 converging against vector  3, i.e.:
 4

The follow-up spaces can be normalized (e.g. with  5)

space of polynomial vector

edit

Be  6 a body and  7 a normed  8-vector space, then designated

  sets of polynomials with coefficients in  9.

For a special  0,  1 is a linear combination of vectors of  2, wherein the coeffcients of the scalar multiplication potencies are  3 of a scaler 698-1047-172940832.

Binary operations and functions on vector spaces of sequences 4

edit

The binary operations and functions on vector spaces of sequences are defined component-wise, analog to addition and scalar multiplication on the vector spacee  ,   oder  . With   and   the binary operation is defined with  ,   and   in the following way:

  mit   und   für alle  .

The binary function of scalar multiplication is defined by the multiplication of the components of the sequence with the scalar :

  mit   and   for all  .

Learning Activities

edit
  • Consider the set of real numbers   as a Vector space over the field  . Is   a finite dimensional or an infinite dimensional Vector space over the field  ? Explain your answer!
  • Prove, that the vector   and   span a linear subspace   in the  -vector space   has as intersection   with   and the intersection contains just  !
  • Analyse the subset property of the following vector space of sequences and consider property of convergence of series, which are generated by the sequences with:
 .
Identify the subset property between   and  ? Generalize this approach on   and   for normed spaces  ! Is this true for metric spaces  ?

See also

edit

Page Information

edit

You can display this page as Wiki2Reveal slides

Wiki2Reveal

edit

The Wiki2Reveal slides were created for the Functional Analysis' and the Link for the Wiki2Reveal Slides was created with the link generator.

Translation and Version Control

edit

This page was translated based on the following Wikiversity source page and uses the concept of Translation and Version Control for a transparent language fork in a Wikiversity: