Existence of a logarithm for every invertible complex matrix Created 2026-10-06 Updated 2026-10-07
An invertible complex Jordan block , with , has logarithm , where . Applying this construction blockwise and conjugating back proves surjectivity of the matrix exponential on the complex general linear group. There is no globally single-valued continuous choice of logarithm.
Floquet theory 2026-10-06
For a continuous periodic coefficient matrix , a fundamental matrix for , normalized by , obeys . The invertible matrix has a complex matrix logarithm; set and . Since commutes with , direct substitution gives and proves the factorization. A real logarithm is not required for this complex representation.
The eigenvalues of are Floquet multipliers. All solutions are bounded for forward time when every multiplier has modulus at most one and those on the unit circle have no nontrivial Jordan blocks. In a real undamped second-order scalar equation with no first-derivative term, the monodromy determinant is one. Distinct conjugate unit-modulus multipliers give bounded solutions; a nontrivial Jordan block at multiplier or gives an unbounded second solution even when one periodic or antiperiodic solution exists.
Jordan chain 2026-10-05
A Jordan chain of a linear operator for an eigenvalue is a list of nonzero vectors satisfying and for . These vectors are linearly independent: in a vanishing linear combination, applying the largest relevant power of isolates the last coefficient times , then descending induction removes all coefficients. On their span the operator has one Jordan block. This is different from a generalized eigenfunction that solves outside the original function space.
Length-two Jordan chain solution 2026-10-06
If and , the vector is a generalized eigenvector and solves . The polynomial factor distinguishes a nontrivial Jordan block from an ordinary repeated eigenvalue with a full eigenvector basis.
On polynomials of degree at most one, let the generator of act by . In the basis its matrix isThis nontrivial Jordan block is not diagonalizable, so the representation is not a direct sum of one-dimensional subrepresentations.
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