For all sizes, the operator-norm distance is a complete metric on the real matrices, bounding the differences of entries, of norms and of matrix-vector products, and convergence and the Cauchy property in it are entrywise.
For all r,s∈N, dr×s is a metric on Mr×s(R), so that (Mr×s(R),dr×s) is a metric space.
For all r,s∈N, A,B∈Mr×s(R), i∈[r] and j∈[s], ∣Aij−Bij∣≤dr×s(A,B).
For all r,s∈N and A,B∈Mr×s(R), ∥A∥−∥B∥≤dr×s(A,B).
For all r,s∈N, A,B∈Mr×s(R) and x∈Rs, ∥Ax−Bx∥≤dr×s(A,B)∥x∥.
For all r,s∈N, every sequence (A(k)) in Mr×s(R) and every A∈Mr×s(R), (A(k)) converges to A in (Mr×s(R),dr×s) if and only if (Aij(k)) converges to Aij in (R,dR) for all i∈[r] and j∈[s].
For all r,s∈N and every sequence (A(k)) in Mr×s(R), (A(k)) is a Cauchy sequence in (Mr×s(R),dr×s) if and only if (Aij(k)) is a Cauchy sequence in (R,dR) for all i∈[r] and j∈[s].
Curated associations between results. These are editable and subjective — they do not replace the dependency graph, which is derived from the references in the text.