Past exam of the mathematics course of the University of Cambridge 2016 ia Paper 1 8C b Solution Created 2026-09-24 Updated 2026-10-06
A complex square matrix is a unitary matrix when , equivalently . Here denotes the adjoint matrix, the conjugate transpose. Such a matrix preserves the standard complex inner product and its Euclidean norm.
A real symmetric matrix is a Hermitian matrix, so . For arbitrary complex ,The imaginary cross terms cancel because is Hermitian. Reversing the signs gives the same identity:In particular, implies , so has zero kernel of a linear map. It is a square matrix, and the rank-nullity theorem therefore makes it invertible. The same argument proves invertibility of .
The proposed matrixis consequently well-defined. For any , put . The two norm identities show directly thatTo verify the unitary matrix identity explicitly, take adjoints:The two shifts commute, because both are polynomials in . HenceThusThe imaginary shifts are invertible, and their equal norm changes cancel in the quotient. This is the Cayley transform of a Hermitian matrix in the convention.
Past exam of the mathematics course of the University of Cambridge 2020 ii Paper 3 40E a Solution Created 2026-09-24 Updated 2026-09-29
A complex square matrix is a normal matrix if it commutes with its conjugate transpose:By unitary diagonalization of a normal matrix, there are a unitary matrix and a diagonal matrix such thatThe matrix 2-norm is invariant under multiplication by unitary matrices, soFor a diagonal matrix,with equality on a coordinate vector belonging to an eigenvalue of greatest modulus. Hencethe matrix 2-norm of a normal matrix.
Past exam of the mathematics course of the University of Cambridge 2024 ia Paper 1 8B b i Solution Created 2026-09-24 Updated 2026-09-25
Past exam of the mathematics course of the University of Cambridge 2024 iii Paper 331 3 i Solution 2026-09-28
A matrix is non-normal when it does not commute with its adjoint matrix:Nonorthogonal decaying eigenmodes can interfere constructively and produce transient growth. For example,has two negative eigenvalues but is non-normal. Starting from givesAt , its squared Euclidean norm is . The energy grows transiently even though both eigenmodes eventually decay.