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  1. Vector space - Wikipedia

    Real vector spaces and complex vector spaces are kinds of vector spaces based on different kinds of scalars: real numbers and complex numbers. Scalars can also be, more generally, …

  2. Vector Space - GeeksforGeeks

    Aug 11, 2025 · A vector space V over a field F is a collection of vectors closed under addition and scalar multiplication. These operations obey ten specific properties (axioms) that ensure the …

  3. But mathematicians like to be concise, so they invented the term vector space to mean any type of mathematical object that can be multiplied by numbers and added together.

  4. 5.17: Vector Spaces and Subspace - Mathematics LibreTexts

    Oct 17, 2025 · A vector space V is a set of vectors with two operations defined, addition and scalar multiplication, which satisfy the axioms of addition and scalar multiplication.

  5. Vector space | Linear Algebra, Basis & Dimension | Britannica

    Oct 31, 2025 · Vector spaces are fundamental to linear algebra and appear throughout mathematics and physics. The idea of a vector space developed from the notion of ordinary …

  6. Vector Space -- from Wolfram MathWorld

    6 days ago · A vector space V is a set that is closed under finite vector addition and scalar multiplication. The basic example is n-dimensional Euclidean space R^n, where every element …

  7. Vector Space | Brilliant Math & Science Wiki

    Vector spaces are mathematical objects that abstractly capture the geometry and algebra of linear equations. They are the central objects of study in linear algebra. The archetypical example of …

  8. Definition of a Vector Space - Oregon State University

    In this section, we give the formal definitions of a vector space and list some examples.

  9. Linear Algebra/Definition and Examples of Vector Spaces

    Apr 4, 2021 · For any vector space, a subset that is itself a vector space under the inherited operations (e.g., a plane through the origin inside of ) is a subspace. Show that is a subspace …

  10. Definition of a vector space - Ximera

    Let V = Rm×n, the space of m × n matrices, with addition given by matrix addition and scalar multiplication as previously defined for matrices. Then (Rm×n, +, ⋅) is a vector space.