The Jordan normal form theorem says that every complex square matrix is similar to a direct sum of Jordan blocks, uniquely up to their order. For an eigenvalue , if its blocks have sizes , then its algebraic multiplicity and geometric multiplicity are
and its contribution to the minimal polynomial is . Thus
where is the largest -block size.
For the given matrix,
Moreover,
Hence
The eigenvalue therefore has one Jordan block of size two, so
A shift-invariant basis is a common eigenbasis of all cyclic shift operators . For the displayed Fourier states, orthonormality follows from the root-of-unity filter:
There are vectors in this orthonormal set in the -dimensional Hilbert space, so they form a basis. Reindexing the finite sum gives
Thus every is simultaneously an eigenvector of every shift, with eigenvalue for .
Write . Applying and then changing the summation variable from to gives
Hence this state is an eigenvector of with eigenvalue .
A complex representation of is a complex vector space together with a homomorphism
It is faithful when , equivalently when is injective. Every finite group has a faithful complex representation: in the regular representation, permutes the basis by
and a group element fixing every basis vector must be the identity.
If is conjugate to , then is similar to . Thus the two matrices have the same spectrum, while an eigenvalue of gives the eigenvalue of . Hence
Now take a -cycle . It is conjugate to for every . Faithfulness makes have order , so its spectrum contains a nontrivial th root of unity . The preceding implication puts all the distinct values
in the spectrum. Therefore . This is the spectrum orbit bound for a faithful symmetric-group representation.
Finally let be the group of all permutations of . It has no faithful finite-dimensional complex representation. For every , contains a subgroup generated by disjoint transpositions. In a -dimensional complex representation, commuting involutions are simultaneously diagonalizable and hence map into the group of diagonal sign matrices, which has order . A faithful restriction would require for every , an impossibility.
Set . The off-diagonal Hermiticity identity holds automatically, while
must be real. Thus
is necessary and sufficient. For , put . Since the two normalized spanning vectors are linearly independent, .
The normalized eigenvectors and eigenvalues are
Direct application of verifies the eigenvalue equations. Their unnormalized inner product is
so the distinct eigenvectors are orthogonal, as required for a Hermitian operator. If , and every vector is an eigenvector.
At , the Jacobian at the origin is
Its eigenvalues are . The zero eigenvalue makes the equilibrium nonhyperbolic.
For and an orthonormal trial set,
Stationarity subject to gives
The finite-subspace variational method, equivalently the Rayleigh-Ritz variational principle, says that the minimum quotient is the smallest eigenvalue of . It is therefore the optimal upper bound on available from this span.
The kinetic matrix is diagonal:
For the linear potential,
and
Thus, in units ,
The lower eigenvalue gives the two-mode variational bound for a linearly tilted square well
Write
Projecting the equation onto modes gives the Fourier-Galerkin matrix for a drift-diffusion equation
where for .
For , only
are nonzero. Hence
The column belonging to the constant mode is zero, so
Remove that zero mode. In every remaining row , the sum of the magnitudes of the off-diagonal entries is at most ; for , the would-be coupling to the removed zero mode vanishes. The diagonal entry is . Gershgorin's theorem therefore places every eigenvalue of the nonconstant block in
Together with the zero eigenvalue, all eigenvalues of have nonpositive real part.
At late times the first sine mode dominates, with growth exponent
Thus
and the population grows precisely when . Faster diffusion carries organisms to the lethal ends more quickly and raises the threshold; a longer channel lowers the principal diffusion eigenvalue and therefore lowers the threshold.
Using one even and one odd site per unit cell, Bloch theorem reduces the Hamiltonian to
Its eigenvalues are
Let . The Jacobi method is
so and . If is strictly diagonally dominant, every Gershgorin disc of is centered at zero and has radius
Every eigenvalue therefore has modulus below one, so and part (i) proves convergence.
This is the unilateral left shift. It is not compact because . For every ,
is an eigenvector with eigenvalue . The norm bound and closedness then give
This is the unilateral right shift. It is not compact because the orthonormal sequence has no convergent subsequence. Its norm is one. For the Neumann series gives a resolvent; for , is an eigenvalue of the adjoint left shift, so lies in the spectrum of . Closedness supplies the boundary. Hence
The action integral can be evaluated exactly:
As ,
Its leading logarithmic term is . Hence the large eigenvalues satisfy, to leading order,
If the eigenvalues of a density operator are with , then
with equality exactly when one eigenvalue is one, namely for a pure state. In dimension , Cauchy--Schwarz gives , with equality for the maximally mixed state. On an infinite-dimensional space the universal lower bound is zero as an infimum.
The power method starts from and iterates
If the eigenvalue of largest modulus is separated by a spectral gap and the initial vector is nonorthogonal to a corresponding eigenvector, the iterates converge in direction to that eigenvector.
Inverse iteration with shift instead solves
It applies the power method to and therefore finds an eigenvector whose eigenvalue is closest to .