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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 polynomials of degree at most n content
# The set of all polynomials of degree at most n is a vector space.

Put content here**Theorem:** The set \(P_n\) of all polynomials of degree at most \(n\) with coefficients in \(\mathbb{F}\) is a vector space over \(\mathbb{F}\).
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\[P_n = \{a_0 + a_1x + a_2x^2 + \cdots + a_nx^n : a_i \in \mathbb{F}\}\]
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**Basis:** \(\{1, x, x^2, \ldots, x^n\}\) (the *standard basis*).
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**Dimension:** \(\dim(P_n) = n + 1\).
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**Verification:** The sum of two polynomials of degree at most \(n\) has degree at most \(n\), and a scalar multiple of such a polynomial also has degree at most \(n\).
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**Example:** \(P_2 = \{a + bx + cx^2 : a,b,c \in \mathbb{R}\}\) has basis \(\{1, x, x^2\}\) and dimension 3. It is isomorphic to \(\mathbb{R}^3\).

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* Examples of vector spaces
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