Kunze Linear Algebra · Problem 2.2.5

Vector Spaces

Mathematics — Methods · subspaces-of-matrix-spaces

Problem

Let FF be a field and let nn be a positive integer (n≥2n \geq 2). Let VV be the vector space of all n×nn \times n matrices over FF. Which of the following sets of matrices AA in VV are subspaces of VV? (a) all invertible AA; (b) all non-invertible AA; (c) all AA such that AB=BAAB = BA, where BB is some fixed matrix in VV; (d) all AA such that A2=AA^2 = A.
Intuitive explanation

To identify subspaces, remember that a subset must be closed under addition and scalar multiplication, and contain the zero vector. For each set, ask: does it include the zero matrix? If you add two matrices from the set, do you stay in the set? If you scale a matrix by a scalar, do you stay in the set? The key insight is that invertibility and idempotence are fragile properties that break under these operations, while commutativity with a fixed matrix is robust—it's preserved by linear combinations.

Intuitive explanation

To identify subspaces, remember that a subset must be closed under addition and scalar multiplication, and contain the zero vector. For each set, ask: does it include the zero matrix? If you add two matrices from the set, do you stay in the set? If you scale a matrix by a scalar, do you stay in the set? The key insight is that invertibility and idempotence are fragile properties that break under these operations, while commutativity with a fixed matrix is robust—it's preserved by linear combinations.

Related theory

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