Linear Algebra: 1.6 - Bases and Dimension
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Questions and Answers

What is a basis 'B' for a vector space V?

  • A linearly independent subset of V that generates V. (correct)
  • Any subset of V.
  • A collection of vectors that do not span V.
  • A dependent subset of V.
  • What must be true for a subset 'B' to be a basis for a vector space V?

    Each element of V can be uniquely expressed in terms of the vectors in B.

    If a vector space V is generated by a finite set S, then some subset of S is a basis for V.

    True

    What does the Replacement Theorem state?

    <p>If a vector space is generated by a set containing n vectors, then any linearly independent subset can have at most n vectors.</p> Signup and view all the answers

    What is a finite-dimensional vector space?

    <p>A vector space with a basis consisting of a finite number of vectors.</p> Signup and view all the answers

    Match the theorems to their corresponding statements:

    <p>Theorem 1.8 = Each vector can be uniquely expressed using a basis. Theorem 1.9 = A finite set can have a basis. Theorem 1.10 = A linearly independent subset can be extended to a basis. Theorem 1.11 = Dimension of a subspace is less than or equal to that of the space.</p> Signup and view all the answers

    Every basis for a finite-dimensional vector space contains the same number of vectors.

    <p>True</p> Signup and view all the answers

    What does Corollary 2 state regarding a vector space with dimension n?

    <p>Any finite generating set for V contains at least n vectors.</p> Signup and view all the answers

    What can be said about the dimension of W and V if dim(W) = dim(V)?

    <p>Then W equals V.</p> Signup and view all the answers

    Any basis for a subspace W can be extended to a basis for the entire space V.

    <p>True</p> Signup and view all the answers

    Study Notes

    Basis

    • A basis 'B' for a vector space V is a linearly independent subset that generates V.
    • Vectors in 'B' are essential for forming the entire vector space V.

    Theorem 1.8

    • A subset B = {u_1, u_2, ..., u_n} of a vector space V serves as a basis if each vector v in V can be uniquely expressed as a linear combination of the basis vectors.
    • The uniqueness of scalars a_1, a_2, ..., a_n is crucial to defining a basis.

    Theorem 1.9

    • If a vector space V is generated by a finite set S, then at least one subset of S is a basis for V, indicating V has a finite basis.

    Theorem 1.10 (Replacement Theorem)

    • For a vector space generated by a set G with n vectors and a linearly independent subset L with m vectors, the condition m ≤ n holds true.
    • There exists a subset H of G with n - m vectors such that L ∪ H generates V, ensuring the structure of the vector space is preserved.

    Corollary 1

    • Every basis of a finite-dimensional vector space V consists of the same number of vectors, establishing consistency across different bases.

    Finite-Dimensional

    • A vector space is finite-dimensional if it has a basis with a finite number of vectors.
    • The dimension of V, denoted dim(V), is defined by the number of vectors in its basis, whereas spaces without finite bases are labeled infinite-dimensional.

    Corollary 2

    • For a vector space V with dimension n:
      • Any finite generating set must have at least n vectors; a set with exactly n vectors is a basis.
      • Any linearly independent set with n vectors in V serves as a basis.
      • Any linearly independent subset can be extended to form a basis for V.

    Theorem 1.11

    • A subspace W of a finite-dimensional vector space V is also finite-dimensional, with dim(W) ≤ dim(V).
    • If dim(W) equals dim(V), then W and V are identical.

    Corollary

    • Any basis for a subspace W of a finite-dimensional vector space V can be extended to a basis for V, preserving the relationship between bases and subspaces.

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    Description

    This quiz explores key concepts in bases and dimension from Linear Algebra Chapter 1.6. You'll learn about the definition of a basis for a vector space and related theorems. Perfect for students looking to solidify their understanding of these fundamental topics.

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