Abstract:The Berry heuristic has been a long standing ansatz about the high energy (i.e. large eigenvalues) behaviour of eigenfunctions (see [8]). Roughly speaking, it states that under some generic boundary conditions, these eigenfunctions exhibit Gaussian behaviour when the eigenvalues grow to infinity. Our aim in this paper is to make this statement quantitative and to establish some rigorous bounds on the distance to Gaussianity, focussing on the hyperspherical case (i.e., for eigenfunctions of the Laplace-Beltrami… Show more
“…Related results on the same type of functionals but on other manifolds can be found in [54], [10], [30], [29], [4], [48], [53], [31], [32], [39], [16], [35], [13], [14], [8], [15], [57], [58], [44,49,59], [3], [41].…”
Section: Now Let Us Focus On Past Work Involvingmentioning
In this survey we collect some recent results regarding the Lipschitz-Killing curvatures (LKCs) of the excursion sets of random eigenfunctions on the two-dimensional standard flat torus (arithmetic random waves) and on the two-dimensional unit sphere (random spherical harmonics). In particular, the aim of the present survey is to highlight the key role of integration by parts formulae in order to have an extremely neat expression for the random LKCs. Indeed, the main tool to study local geometric functionals of random waves on manifold is to exploit their Wiener chaos decomposition and show that (often), in the so-called high-energy limit, a single chaotic component dominates their behavior. Moreover, reduction principles show that the dominant Wiener chaotic component of LKCs of random waves' excursion sets at threshold level u = 0 is proportional to the integral of H 2 (f ), f being the random field of interest and H 2 the second Hermite polynomial. This will be shown via integration by parts formulae.
“…Related results on the same type of functionals but on other manifolds can be found in [54], [10], [30], [29], [4], [48], [53], [31], [32], [39], [16], [35], [13], [14], [8], [15], [57], [58], [44,49,59], [3], [41].…”
Section: Now Let Us Focus On Past Work Involvingmentioning
In this survey we collect some recent results regarding the Lipschitz-Killing curvatures (LKCs) of the excursion sets of random eigenfunctions on the two-dimensional standard flat torus (arithmetic random waves) and on the two-dimensional unit sphere (random spherical harmonics). In particular, the aim of the present survey is to highlight the key role of integration by parts formulae in order to have an extremely neat expression for the random LKCs. Indeed, the main tool to study local geometric functionals of random waves on manifold is to exploit their Wiener chaos decomposition and show that (often), in the so-called high-energy limit, a single chaotic component dominates their behavior. Moreover, reduction principles show that the dominant Wiener chaotic component of LKCs of random waves' excursion sets at threshold level u = 0 is proportional to the integral of H 2 (f ), f being the random field of interest and H 2 the second Hermite polynomial. This will be shown via integration by parts formulae.
In this survey we collect some recent results regarding the Lipschitz–Killing curvatures (LKCs) of the excursion sets of random eigenfunctions on the two-dimensional standard flat torus (arithmetic random waves) and on the two-dimensional unit sphere (random spherical harmonics). In particular, the aim of the present survey is to highlight the key role of integration by parts formulae in order to have an extremely neat expression for the random LKCs. Indeed, the main tool to study local geometric functionals of random waves on manifold is to exploit their Wiener chaos decomposition and show that (often), in the so-called high-energy limit, a single chaotic component dominates their behavior. Moreover, reduction principles show that the dominant Wiener chaotic component of LKCs of random waves’ excursion sets at threshold level
u
≠
0
u\ne 0
is proportional to the integral of
H
2
(
f
)
H_2(f)
,
f
f
being the random field of interest and
H
2
H_2
the second Hermite polynomial. This will be shown via integration by parts formulae.
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