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  • Vector spaces

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  • Coordinate vector spaces
  • Abstract vector spaces
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  • The set containing only 0 is a vector space.
  • R^n is a vector space.
  • C^n is a vector space.
  • F^n is a vector space.
  • The set of all functions on a set is a vector space.
  • The solutions to a homogeneous system of linear equations is a vector space.
  • The solutions to a homogeneous linear differential equation is a vector space.
  • The set of all polynomials is a vector space.
  • The set of all polynomials of degree at most n is a vector space.
  • The set of m by n matrices is a vector space.
  • The set of all sequences is a vector space.
  • The crazy vector space is a vector space.
  • The row space of a matrix is a vector space
  • The column space of a matrix is a vector space
  • The null space of a matrix is a subspace of R^n (or C^n).
  • The left null space of a matrix is a subspace of R^m (or C^m).
  • The set of linear transformations between two vector spaces is a vector space.
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Description:Added examples of vector spaces overview
# Examples of vector spaces

Put content hereThis section demonstrates that many different types of mathematical objects satisfy the vector space axioms. Each example below shows a specific set with defined addition and scalar multiplication operations that make it a vector space.
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The diversity of examples illustrates the power of the abstract vector space concept: once a theorem is proved for general vector spaces, it automatically applies to coordinate spaces, function spaces, polynomial spaces, matrix spaces, and more.
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Each node in this section verifies the vector space axioms for a particular mathematical structure.

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* Vector spaces
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