The natural expectation is orbital stability, since a spatial translation of a travelling wave is another travelling wave. Thus convergence for ordinary perturbations, when it holds, is to a suitably translated front. It also matters which perturbations are allowed in the leading edge: the zero state ahead of this front is linearly unstable, and a sufficiently shallow positive tail can select a different speed. One should not assert asymptotic stability for arbitrary disturbances without a norm and a class of initial data. The requested essential spectrum calculation is a necessary part of such an analysis, not by itself a complete nonlinear stability proof.
In the moving coordinate , write . Expansion of the reaction term gives
The first equation to study is its linearization,
and the associated eigenvalue equation . Differentiating the front equation gives , the neutral translation mode whenever it belongs to the chosen function space. Ahead of the front the limiting coefficient is , so in unweighted L2 space the limiting dispersion relation is : its rightmost real part is positive. An exponential weight penalizes precisely these disturbances ahead of the front.
There is a small functional-analytic correction to the printed definition. Use the complete exponentially weighted L2 space
The additional requirement of unweighted L2 space membership in the printed set makes that set incomplete under its stated weighted norm. Indeed belongs to the intersection and is a weighted Cauchy sequence, but its weighted limit does not belong to unweighted L2 space. The usual Hilbert space for this spectral argument is the completion . We use that completion explicitly, rather than treating the intersection as a complete space.
Multiplication is a unitary map from onto L2 space. Take the domain for . The transformed closed operator is
This follows from . The two limiting constant-coefficient dispersion relations, obtained by the Fourier transform, are
In particular the necessary strict leading-edge condition is . For this means
A particularly convenient choice is
With this choice there is no first derivative, and is a self-adjoint differential operator on . This also avoids possible ambiguities between definitions of essential spectrum for nonnormal operators.
The relevant perturbation theorem is essential-spectrum invariance under relatively compact perturbations: if is a closed operator, is compact with respect to the graph norm, and is closed on the same domain, their Fredholm essential spectrum is the same. For self-adjoint operators this is the usual essential spectrum after removing isolated finite-multiplicity eigenvalues. To see why the theorem applies, regard and as bounded maps from the graph norm domain to , and use compact perturbation invariance of Fredholm operators for each .
Define a step-potential comparison operator
Both and are self-adjoint on . Their difference is multiplication by
It is relatively compact, not necessarily compact as a multiplication map on all of L2 space. To prove the needed compactness, take a sequence bounded in . On each bounded interval the Rellich-Kondrachov compactness theorem gives a subsequence converging in L2 space. A diagonal subsequence makes the products by converge locally. Outside a sufficiently large interval, is arbitrarily small and the sequence has a uniform L2 norm bound, so those tails are uniformly small. Thus the products converge globally in L2 space, proving graph-domain compactness.
Finally,
Here is a direct verification. Its quadratic form is at most , so no spectrum lies above this endpoint. For every , choose with . Normalized, increasingly long cutoffs of , translated far to the right, have disjoint supports and satisfy : differentiating the cutoff gives errors of orders and . They converge weakly to zero. This is a singular sequence in the Weyl criterion, proving that every such belongs to the essential spectrum. The relatively compact perturbation theorem therefore gives
This proves the weighted essential spectrum of a Fisher travelling front is strictly stable when . In fact here the quadratic form gives more:
Since , the full transformed spectrum lies below , and the evolution given by its linearization decays at least as in this weighted norm. This does not contradict translation invariance: the nonzero translation mode cannot lie in this weighted operator domain, since otherwise it would be a zero eigenfunction, contradicting the strictly negative quadratic-form bound. The weight restricts the permitted perturbations and excludes these neutral translations. Nor does a weighted L2 norm alone control the nonlinear remainder at ; a nonlinear theorem needs further boundedness or regularity assumptions.
At the minimal speed , the best choice is . Now , and
The essential spectrum has no positive part but touches zero; no positive exponential weight makes it strictly negative. Thus the critical front has no spectral gap and this argument gives no exponential decay rate there. Strict weighted spectral stability holds above the minimal speed; at the minimal speed it is marginal.
The linearization at a travelling wave is . Conjugation by changes this to . The choice removes the first derivative and makes the operator self-adjoint. Its two limiting potentials are and , so essential-spectrum invariance under relatively compact perturbations gives . This lies strictly below zero for but touches zero at the critical speed. Stability of this essential spectrum alone is not a general nonlinear stability theorem.