Recall that the intersection $U\cap V$ is the set of elements that are both elements of $U$ and $V$.
In the set theoretical notation, we have
\[U \cap V=\{x \mid x\in U \text{ and } x\in V\}.\]
Proof.
To prove that the intersection $U\cap V$ is a subspace of $\R^n$, we check the following subspace criteria:
The zero vector $\mathbf{0}$ of $\R^n$ is in $U \cap V$.
For all $\mathbf{x}, \mathbf{y}\in U \cap V$, the sum $\mathbf{x}+\mathbf{y}\in U \cap V$.
For all $\mathbf{x}\in U \cap V$ and $r\in \R$, we have $r\mathbf{x}\in U \cap V$.
As $U$ and $V$ are subspaces of $\R^n$, the zero vector $\mathbf{0}$ is in both $U$ and $V$.
Hence the zero vector $\mathbf{0}\in \R^n$ lies in the intersection $U \cap V$.
So condition 1 is met.
Suppose that $\mathbf{x}, \mathbf{y} \in U \cap V$.
This implies that $\mathbf{x}$ is a vector in $U$ as well as a vector in $V$.
Similarly, $\mathbf{y}$ is a vector in $U$ as well as a vector in $V$.
Since $U$ is a subspace and $\mathbf{x}$ and $\mathbf{y}$ are both vectors in $U$, their sum $\mathbf{x}+\mathbf{y}$ is in $U$.
Similarly, since $V$ is a subspace and $\mathbf{x}$ and $\mathbf{y}$ are both vectors in $V$, their sum $\mathbf{x}+\mathbf{y}\in V$.
Therefore the sum $\mathbf{x}+\mathbf{y}$ is a vector in both $U$ and $V$.
Hence $\mathbf{x}+\mathbf{y}\in U \cap V$.
Thus condition 2 is met.
To verify condition 3, let $\mathbf{x}\in U \cap V$ and $r\in \R$.
As $\mathbf{x}\in U \cap V$, the vector $\mathbf{x}$ lies in both $U$ and $V$.
Since both $U$ and $V$ are subspaces, the scalar multiplication is closed in $U$ and $V$, respectively.
Thus $r\mathbf{x}\in U$ and $r\mathbf{x}\in V$.
It follows that $r\mathbf{x}\in U\cap V$.
This proves condition 3, and hence the intersection $U\cap V$ is a subspace of $\R^n$.
The Centralizer of a Matrix is a Subspace
Let $V$ be the vector space of $n \times n$ matrices, and $M \in V$ a fixed matrix. Define
\[W = \{ A \in V \mid AM = MA \}.\]
The set $W$ here is called the centralizer of $M$ in $V$.
Prove that $W$ is a subspace of $V$.
Proof.
First we check that the zero […]
The Subspace of Linear Combinations whose Sums of Coefficients are zero
Let $V$ be a vector space over a scalar field $K$.
Let $\mathbf{v}_1, \mathbf{v}_2, \dots, \mathbf{v}_k$ be vectors in $V$ and consider the subset
\[W=\{a_1\mathbf{v}_1+a_2\mathbf{v}_2+\cdots+ a_k\mathbf{v}_k \mid a_1, a_2, \dots, a_k \in K \text{ and } […]
Determine Whether a Set of Functions $f(x)$ such that $f(x)=f(1-x)$ is a Subspace
Let $V$ be the vector space over $\R$ of all real valued function on the interval $[0, 1]$ and let
\[W=\{ f(x)\in V \mid f(x)=f(1-x) \text{ for } x\in [0,1]\}\]
be a subset of $V$. Determine whether the subset $W$ is a subspace of the vector space $V$.
Proof. […]
The Subset Consisting of the Zero Vector is a Subspace and its Dimension is Zero
Let $V$ be a subset of the vector space $\R^n$ consisting only of the zero vector of $\R^n$. Namely $V=\{\mathbf{0}\}$.
Then prove that $V$ is a subspace of $\R^n$.
Proof.
To prove that $V=\{\mathbf{0}\}$ is a subspace of $\R^n$, we check the following subspace […]
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Suppose that $S$ is a fixed invertible $3$ by $3$ matrix. This question is about all the matrices $A$ that are diagonalized by $S$, so that $S^{-1}AS$ is diagonal. Show that these matrices $A$ form a subspace of $3$ by $3$ matrix space.
(MIT-Massachusetts Institute of Technology […]
Sequences Satisfying Linear Recurrence Relation Form a Subspace
Let $V$ be a real vector space of all real sequences
\[(a_i)_{i=1}^{\infty}=(a_1, a_2, \cdots).\]
Let $U$ be the subset of $V$ defined by
\[U=\{ (a_i)_{i=1}^{\infty} \in V \mid a_{k+2}-5a_{k+1}+3a_{k}=0, k=1, 2, \dots \}.\]
Prove that $U$ is a subspace of […]
Prove that the Center of Matrices is a Subspace
Let $V$ be the vector space of $n \times n$ matrices with real coefficients, and define
\[ W = \{ \mathbf{v} \in V \mid \mathbf{v} \mathbf{w} = \mathbf{w} \mathbf{v} \mbox{ for all } \mathbf{w} \in V \}.\]
The set $W$ is called the center of $V$.
Prove that $W$ is a subspace […]
We fix a nonzero vector $\mathbf{a}$ in $\R^3$ and define a map $T:\R^3\to \R^3$ by \[T(\mathbf{v})=\mathbf{a}\times \mathbf{v}\] for all $\mathbf{v}\in...