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  2. A linear vector space is a mathematical structure of vectors and numbers that obeys the following rules: |ψ⟩ +|ϕ⟩ = |ϕ⟩ +|ψ⟩ | ψ ⟩ + | ϕ ⟩ = | ϕ ⟩ + | ψ ⟩ (commutativity), |ψ⟩ + (|ϕ⟩ +|χ⟩) = (|ψ⟩ +|ϕ⟩) +|χ⟩ | ψ ⟩ + (| ϕ ⟩ + | χ ⟩) = (| ψ ⟩ + | ϕ ⟩) + | χ ⟩ (associativity),
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    What is a linear vector space?A linear vector space is a mathematical structure of vectors and numbers that obeys the following rules: a(b|ϕ⟩) = (ab)|ϕ⟩. a ( b | ϕ ⟩) = ( a b) | ϕ ⟩. There is also a null vector 0 such that |ψ⟩ + 0 = |ψ⟩ | ψ ⟩ + 0 = | ψ ⟩, and for every |ψ⟩ | ψ ⟩ there is a vector |ϕ⟩ | ϕ ⟩ such that |ψ⟩ +|ϕ⟩ = 0 | ψ ⟩ + | ϕ ⟩ = 0.
    What are the properties of vector spaces?The two key properties of vectors are that they can be added together and multiplied by scalars. Thus, before giving a rigorous definition of vector spaces, we restate the main idea. A vector space is a set that is closed under addition and scalar multiplication. (+i) (Additive Closure) u + v 2 V . Adding two vectors gives a vector.
    Is a set of linear combinations a vector space?Show that the set of linear combinations of the variables is a vector space under the natural addition and scalar multiplication operations. Prove that this is not a vector space: the set of two-tall column vectors with real entries subject to these operations. Prove or disprove that is a vector space under these operations.
    What is a real vector space?real vector space is a set of “vectors” together with rules for vector addition and multiplication by real numbers. The addition and the multiplication must produce vectors that are in the space. And the eight conditions must be satisfied (which is usually no problem). You need to see three vector spaces other than Rn :
     
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    Vector space - Wikipedia

    In mathematics and physics, a vector space (also called a linear space) is a set whose elements, often called vectors, may be added together and multiplied ("scaled") by numbers called scalars. Scalars are often real numbers, but can be complex numbers or, more generally, elements of any field. The … See more

    In this article, vectors are represented in boldface to distinguish them from scalars.
    A vector space over a field F is a non-empty set V together with a binary operation See more

    Bases, vector coordinates, and subspaces image
    Basic constructions image

    Vector spaces stem from affine geometry, via the introduction of coordinates in the plane or three-dimensional space. Around 1636, French mathematicians René Descartes and Pierre de Fermat founded analytic geometry by identifying solutions to an equation of … See more

    The relation of two vector spaces can be expressed by linear map or linear transformation. They are functions that reflect the vector space structure, that is, they preserve sums … See more

    From the point of view of linear algebra, vector spaces are completely understood insofar as any vector space over a given field is characterized, … See more

    Vector spaces with additional structure image
    Linear maps and matrices image
    Overview image

    Linear combination Given a set G of elements of a F-vector space V, a linear combination of elements of G is an element of V of the form
    Bases are a … See more

    Examples image

    Arrows in the plane
    The first example of a vector space consists of arrows in a fixed plane, starting at one fixed point. This is used in physics to describe See more

    In addition to the above concrete examples, there are a number of standard linear algebraic constructions that yield vector spaces related to given ones.
    Subspaces and … See more

     
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