Vector Spaces

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Mathematics for Computer Scientists
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Abstract

In this chapter you will learn

  • the operations on the classical vector spaces \({\mathbb{R}}^{2}\), \({\mathbb{R}}^{3}\) and \({\mathbb{R}}^{n}\),

  • the vector space as the central algebraic structure of linear algebra,

  • the linear map**s as the homomorphisms of vector spaces,

  • the concepts of linear independence, basis and dimension of vector spaces, and how they are related,

  • the calculation with coordinates with respect to different bases of a vector space.

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Correspondence to Peter Hartmann .

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© 2023 The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature

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Cite this chapter

Hartmann, P. (2023). Vector Spaces. In: Mathematics for Computer Scientists. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-40423-9_6

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  • DOI: https://doi.org/10.1007/978-3-658-40423-9_6

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  • Publisher Name: Springer, Wiesbaden

  • Print ISBN: 978-3-658-40422-2

  • Online ISBN: 978-3-658-40423-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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