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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 all polynomials vector space content
# The set of all polynomials is a vector space.

Put content here**Theorem:** The set of all polynomials with coefficients in a field \(\mathbb{F}\), denoted \(P\) or \(\mathbb{F}[x]\), is a vector space over \(\mathbb{F}\).
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- **Addition:** \((a_0 + a_1x + \cdots)(b_0 + b_1x + \cdots) = (a_0+b_0) + (a_1+b_1)x + \cdots\)
- **Scalar multiplication:** \(c(a_0 + a_1x + a_2x^2 + \cdots) = (ca_0) + (ca_1)x + (ca_2)x^2 + \cdots\)
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**Zero vector:** The zero polynomial \(p(x) = 0\).
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This space is *infinite-dimensional*. The set \(\{1, x, x^2, x^3, \ldots\}\) is an infinite basis.
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**Note:** Polynomials must have finitely many nonzero terms (each individual polynomial has finite degree), but there is no upper bound on the degree across the whole space.

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* Examples of vector spaces
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