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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 crazy vector space content
# The crazy vector space is a vector space.

Put content here**The "crazy" vector space** is an example that shows the operations of addition and scalar multiplication need not look "normal" to satisfy the vector space axioms.
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**Example:** Let \(V = \mathbb{R}^+\) (positive real numbers) with:
- **"Addition":** \(x \oplus y = xy\) (ordinary multiplication)
- **"Scalar multiplication":** \(c \odot x = x^c\)
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**Verification:**
- Zero vector: \(1\) (since \(x \oplus 1 = x \cdot 1 = x\))
- Additive inverse of \(x\): \(1/x\) (since \(x \oplus (1/x) = x \cdot (1/x) = 1\))
- \(c \odot (x \oplus y) = (xy)^c = x^c y^c = (c \odot x) \oplus (c \odot y)\)
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This space is isomorphic to \(\mathbb{R}\) via the logarithm map: \(\log(x \oplus y) = \log(xy) = \log x + \log y\).
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The purpose of this example is to emphasize that vector spaces are defined by their axioms, not by the appearance of their operations.

# Parents

* Examples of vector spaces
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