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  • Examples of 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 sequences vector space content
# The set of all sequences is a vector space.

Put content here**Theorem:** The set of all infinite sequences \((a_1, a_2, a_3, \ldots)\) with entries in a field \(\mathbb{F}\) is a vector space over \(\mathbb{F}\).
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- **Addition:** \((a_1, a_2, \ldots) + (b_1, b_2, \ldots) = (a_1+b_1, a_2+b_2, \ldots)\)
- **Scalar multiplication:** \(c(a_1, a_2, \ldots) = (ca_1, ca_2, \ldots)\)
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This space is often denoted \(\mathbb{F}^\mathbb{N}\) or \(\mathbb{F}^\infty\).
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**Subspaces of interest:**
- Bounded sequences (\(\ell^\infty\))
- Convergent sequences
- Sequences with finitely many nonzero terms
- Square-summable sequences (\(\ell^2\))
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This space is infinite-dimensional. The standard basis vectors \(\mathbf{e}_i = (0,\ldots,0,1,0,\ldots)\) span only the subspace of sequences with finitely many nonzero terms.

# Parents

* Examples of vector spaces
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