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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 function space vector space content
# The set of all functions on a set is a vector space.

Put content here**Theorem:** Let \(X\) be any set and \(\mathbb{F}\) a field. The set of all functions \(f: X 	o \mathbb{F}\), denoted \(\mathbb{F}^X\), is a vector space over \(\mathbb{F}\) with pointwise operations:
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- **Addition:** \((f + g)(x) = f(x) + g(x)\) for all \(x \in X\)
- **Scalar multiplication:** \((cf)(x) = c \cdot f(x)\) for all \(x \in X\)
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**Zero vector:** The zero function \(z(x) = 0\) for all \(x\).
**Additive inverse:** \((-f)(x) = -f(x)\).
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**Verification:** All axioms follow from the field properties of \(\mathbb{F}\) applied pointwise.
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**Example:** When \(X = [0,1]\), this gives the space of all real-valued functions on the unit interval, which includes continuous functions, polynomials, and many more.

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* Examples of vector spaces
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