Subspaces

Created almost 9 years ago, updated 6 months ago

Definition: A subset \(W\) of a vector space \(V\) is a subspace if \(W\) is itself a vector space under the same operations of addition and scalar multiplication defined on \(V\).

Subspace test: A nonempty subset \(W \subseteq V\) is a subspace if and only if:

  1. Closed under addition: If \(\mathbf{u}, \mathbf{v} \in W\), then \(\mathbf{u} + \mathbf{v} \in W\)
  2. Closed under scalar multiplication: If \(\mathbf{v} \in W\) and \(c\) is a scalar, then \(c\mathbf{v} \in W\)

(These two conditions guarantee \(\mathbf{0} \in W\) and that additive inverses exist.)

Examples:

  • \(\{\mathbf{0}\}\) is a subspace of every vector space (the trivial subspace)
  • Every vector space \(V\) is a subspace of itself
  • In \(\mathbb{R}^3\), any line or plane through the origin is a subspace
  • The set \(\{(x,y,0) : x,y \in \mathbb{R}\}\) is a subspace of \(\mathbb{R}^3\)

Non-example: The set \(\{(x,y,1) : x,y \in \mathbb{R}\}\) is NOT a subspace of \(\mathbb{R}^3\) because it does not contain the zero vector.

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