The effective potential of an M-matrix
What's new 2021-01-06
Marcel Filoche, Svitlana Mayboroda, and I have just uploaded to the arXiv our preprint “The effective potential of an -matrix“. This paper explores the analogue of the effective potential of Schrödinger operators
provided by the “landscape function”
, when one works with a certain type of self-adjoint matrix known as an
-matrix instead of a Schrödinger operator.
Suppose one has an eigenfunction
When the potential is very “rough”, as occurs for instance in the random potentials arising in the theory of Anderson localisation, the Agmon bounds, while still true, become very weak because the wells
are dispersed in a fairly dense fashion throughout the domain
, and the eigenfunction can tunnel relatively easily between different wells. However, as was first discovered in 2012 by my two coauthors, in these situations one can replace the rough potential
by a smoother effective potential
, with the eigenfunctions typically localised to a single connected component of the effective wells
. In fact, a good choice of effective potential comes from locating the landscape function
, which is the solution to the equation
with reasonable behavior at infinity, and which is non-negative from the maximum principle, and then the reciprocal
of this landscape function serves as an effective potential.
There are now several explanations for why this particular choice is a good effective potential. Perhaps the simplest (as found for instance in this recent paper of Arnold, David, Jerison, and my two coauthors) is the following observation: if
is an eigenvector for
with energy
, then
is an eigenvector for
with the same energy
, thus the original Schrödinger operator
is conjugate to a (variable coefficient, but still in divergence form) Schrödinger operator with potential
instead of
. Closely related to this, we have the integration by parts identity
These particular explanations seem rather specific to the Schrödinger equation (continuous or discrete); we have for instance not been able to find similar identities to explain an effective potential for the bi-Schrödinger operator .
In this paper, we demonstrate the (perhaps surprising) fact that effective potentials continue to exist for operators that bear very little resemblance to Schrödinger operators. Our chosen model is that of an -matrix: self-adjoint positive definite matrices
whose off-diagonal entries are negative. This model includes discrete Schrödinger operators (with non-negative potentials) but can allow for significantly more non-local interactions. The analogue of the landscape function would then be the vector
, where
denotes the vector with all entries
. Our main result, roughly speaking, asserts that an eigenvector
of
will then be exponentially localised to the “potential wells”
, where
denotes the coordinates of the landscape function
. In particular, we establish the inequality
Our approach is based on Agmon’s methods, which we interpret as a double commutator method, and in particular relying on exploiting the negative definiteness of certain double commutator operators. In the case of Schrödinger operators , this negative definiteness is provided by the identity
It turns out that this argument extends without much difficulty to the -matrix setting. The analogue of the crucial double commutator identity (2) is
Numerically we have also found some aspects of the landscape theory to persist beyond the -matrix setting, even though the double commutators cease being negative definite, so this may not yet be the end of the story, but it does at least demonstrate that utility the landscape does not purely rely on identities such as (1).