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Let $V$ be an $n$-dimensional vector space over $\Bbb R$. Show that every one dimensional subspace is the intersection of all $n-1$ dimensional subspaces containing it.

I honestly have no clue on this one.

Johnny Apple
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  • I suggest you think about the case of a three dimensional vector space. Can you see why every line is the intersection of two planes? If so, then can you prove this rigorously? Alex has provided an excellent answer below and it's also worth thinking about his answer geometrically (in the three-dimensional case). What do the two planes look like whose intersection is a line in the case $n=3$ of his answer? – Amitesh Datta Aug 22 '13 at 04:41
  • I can definitely see why a line is the intersection of two planes. I cannot prove it rigorusly. I finished the proof of this today in the general case though. I understand the problem intuitively. – Johnny Apple Aug 23 '13 at 02:25

2 Answers2

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Hint: Pick a basis $\{x_1\}$ for the line. Extend this to a basis $\{x_1,\ldots,x_n\}$. Clearly the line is in the intersection of all $n-1$ dimensional subspaces containing it, and to show the converse what if you considered $H_2,\ldots,H_n$ where $H_i=\text{span}\{x_j:j\ne i\}$.

Alex Youcis
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Let the one-dimensional subspace be $V=\mathrm{span}(\mathbf{v})$. If $\mathbf{w} \not\in V$, then $\mathbf{w}$ is a linear combination of $\mathbf{v}$ and a non-zero vector $\mathbf{u}$ orthogonal to $\mathbf{v}$ ($\mathbf{u}$ is the vector rejection, according to Wikipedia). If $\mathbf{u}=(u_1,u_2,\ldots,u_n)$, then the $1 \times n$ matrix $$\left( \begin{matrix} u_1 & u_2 & \cdots & u_n \\ \end{matrix} \right)$$ has an $(n-1)$-dimensional null space, by the Rank-Nullity Theorem. Moreover:

  • $\mathbf{v}$ is in this null space, since $\mathbf{u}$ and $\mathbf{v}$ are orthogonal.

  • $\mathbf{u}$ is not in this null space, otherwise $\mathbf{u} \cdot \mathbf{u}=0$, implying $\mathbf{u}$ is the zero vector.

  • Hence $\mathbf{w}$ is not in this null space, otherwise $\mathbf{u}$ could be formed from a linear combination of $\mathbf{w}$ and $\mathbf{v}$.

Thus, for any $\mathbf{w} \not\in V$, we have found an $(n-1)$-dimensional subspace containing $V$ but not $\mathbf{w}$.

The converse is true by definition (if $\mathbf{w} \in V$, then its in all $(n-1)$-subspaces contain $V$, and hence their intersection also contains $V$).