Maths WorkshopMaths problems with full solutions
Exercise 300Topology › Topology of Mn(ℝ) › Open, closed, interior, boundaryL2Added 7 Nov 2026

Proper subspaces are closed with empty interior

#subspaces#interior#closed sets#finite dimension

Statement

Show that every proper linear subspace V⊊Mn(R)V\subsetneq M_n(\mathbb{R}) is closed and has empty interior.

Hint

Closedness: a finite-dimensional subspace of a normed space is complete. Empty interior: if VV contained a ball, use ±\pm small multiples of any vector XX to show X∈VX\in V.

Show solutionHide solution

Solution

Idea. A subspace that contains even a tiny ball contains every direction, hence is everything. And finite-dimensional subspaces cannot have "holes" in their closure.

Step 1: VV is closed. VV is a finite-dimensional normed space, hence complete (it is isometric to some Rk\mathbb{R}^k after choosing an orthonormal basis for the Frobenius inner product). A complete subset of a metric space is closed: if Ak∈VA_k\in V and Ak→AA_k\to A, the sequence is Cauchy in VV, so it converges to some A′∈VA'\in V, and by uniqueness of limits A=A′∈VA=A'\in V.

(Another argument: VV is the common kernel of finitely many linear functionals φ1,…,φm\varphi_1,\dots,\varphi_m, which are continuous, so V=⋂φi−1({0})V=\bigcap\varphi_i^{-1}(\{0\}) is closed.)

Step 2: empty interior. Suppose VV contained an open ball B(A,r)B(A,r) with A∈VA\in V (a point of the interior may be taken to be the centre of a ball inside VV; since the ball is inside VV, its centre is in VV). Take any X≠0X\neq0 in Mn(R)M_n(\mathbb{R}) and put
t=r2∥X∥.t=\frac r{2\|X\|}.
Then ∥(A±tX)−A∥=r/2<r\|(A\pm tX)-A\|=r/2<r, so A+tXA+tX and A−tXA-tX both lie in B(A,r)⊂VB(A,r)\subset V. Since VV is a subspace,
tX=12((A+tX)−(A−tX))∈V,soX=1t(tX)∈V.tX=\tfrac12\big((A+tX)-(A-tX)\big)\in V,\qquad\text{so}\qquad X=\tfrac1t(tX)\in V.
As XX was arbitrary, V=Mn(R)V=M_n(\mathbb{R}), contradicting properness.

Remark.
- The same proof works in any normed space: a proper subspace has empty interior. Closedness, however, genuinely needs finite dimension (the polynomials form a dense proper subspace of C[0,1]C[0,1]).
- This statement is used constantly: for instance the symmetric matrices, the trace-zero matrices and the commutant of a non-scalar matrix are all closed nowhere dense sets.