A hyperplane in $n$-dimensional vector space $\R^n$ is defined to be the set of vectors
\[\begin{bmatrix}
x_1 \\
x_2 \\
\vdots \\
x_n
\end{bmatrix}\in \R^n\]
satisfying the linear equation of the form
\[a_1x_1+a_2x_2+\cdots+a_nx_n=b,\]
where $a_1, a_2, \dots, a_n$ (at least one of $a_1, a_2, \dots, a_n$ is nonzero) and $b$ are real numbers.
Here at least one of $a_1, a_2, \dots, a_n$ is nonzero.

Consider the hyperplane $P$ in $\R^n$ described by the linear equation
\[a_1x_1+a_2x_2+\cdots+a_nx_n=0,\]
where $a_1, a_2, \dots, a_n$ are some fixed real numbers and not all of these are zero.
(The constant term $b$ is zero.)

Then prove that the hyperplane $P$ is a subspace of $R^{n}$ of dimension $n-1$.

In a set theoretical notation, the hyperplane is give by
\[P=\left\{\, \mathbf{x}=\begin{bmatrix}
x_1 \\
x_2 \\
\vdots \\
x_n
\end{bmatrix}\in \R^n \quad \middle | \quad a_1x_1+a_2x_2+\cdots+a_nx_n=0 \,\right\}\]

The defining relation
\[a_1x_1+a_2x_2+\cdots+a_nx_n=0\]
can be written as
\[\begin{bmatrix}
a_1 & a_2 & \dots & a_n
\end{bmatrix}
\begin{bmatrix}
x_1 \\
x_2 \\
\vdots \\
x_n
\end{bmatrix}
=0.\]

Let $A$ be the $1\times n$ matrix $A=\begin{bmatrix}
a_1 & a_2 & \dots & a_n
\end{bmatrix}$.
Then the above equation is simply $A\mathbf{x}=0$, and the hyperplane $P$ is described by
\[P=\{\mathbf{x}\in \R^n \mid A\mathbf{x}=0\},\]
and this is exactly the definition of the null space of $A$. Namely, we have
\[P=\calN(A).\]
Since every null space of a matrix is a subspace, it follows that the hyperplane $P$ is a subspace of $\R^n$.

The dimension of the hyperplane is $n-1$.

Because $P=\calN(A)$, the dimension of $P$ is the nullity of the matrix $A$.
Since not all of $a_i$’s are zero, the rank of the matrix $A$ is $1$. Then by the rank-nullity theorem, we have
\[\text{rank of $A$ } + \text{ nullity of $A$ }=n.\]
Hence the nullity of $A$ is $n-1$.

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