Hyperuniformity and Hyperfluctuations for Random Measures on Euclidean and Non-Euclidean spaces
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Date
2025-05-05
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Abstract
In this thesis we study fluctuations of generic random point configurations in Euclidean
and symmetric curved geometries. Mathematically, such configurations are interpreted
as isometrically invariant point processes, and fluctuations are recorded by the variance
of the number of points in a centered ball, the number variance. Hyperuniformity and
hyperfluctuation of such configurations in the sense of Stillinger-Torquato is characterized
in terms of large-scale asymptotics of the number variance in relation to that of an ideal
gas, and equivalently by small-scale asymptotics of the Bartlett spectral measure in the
diffraction picture.
Appended to the Thesis are three papers:
In Paper I we provide lower asymptotic bounds for number variances of isometrically
invariant random measures in Euclidean and hyperbolic spaces, generalizing a result by
Beck. In particular, we find that geometric hyperuniformity fails for every isometrically
invariant random measure on hyperbolic space. In contrast to this, we define a notion of
spectral hyperuniformity which is satisfied by certain invariant random lattice configura-
tions.
In Paper II we establish similar lower asymptotic bounds for number variances of
automorphism invariant point processes in regular trees. The main result is that these
lower bounds are not uniform for the invariant random lattice configurations defined by
the fundamental groups of complete regular graphs and the Petersen graph. We also
provide a criterion for when these lower bounds are uniform in terms of certain rational
peaks appearing in the diffraction picture.
In Paper III we prove the existence and uniqueness of Bartlett spectral measures for
invariant random measures on a large class of non-compact commutative spaces, which
includes those in Papers I and II. For higher rank symmetric spaces governed by simple
Lie groups, we prove that there is a power strictly less than 2 of the volume of balls that
asymptotically bounds the number variance of any invariant random measure from above.
Moreover, we derive Bartlett spectral measures for invariant determinantal point processes
on commutative spaces and define a notion of heat kernel hyperuniformity on Euclidean
and hyperbolic spaces that is equivalent to spectral hyperuniformity.
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Keywords
Point processes, Number variance, Hyperuniformity, Spectral measures, Spherical harmonic analysis