In this note we investigate geometric properties of invariant spatio-temporal random fields X: Mᵈ× R→ R defined on a compact two-point homogeneous space Mᵈ in any dimension d≥ 2, and evolving over time. In particular, we focus on chi-squared distributed random fields, and study the large time behavior (as T→ +∞) of the average on $[0,T]$ of the volume of the excursion set on the manifold, i.e., of X(·, t)≥ u (for any $u >0$). The Fourier components of X may have short or long memory in time, i.e., integrable or non-integrable temporal covariance functions. Our argument follows the approach developed in (Marinucci, Rossi, Vidotto (2021) Ann. Appl. Probab.) and allow to extend their results for invariant spatio-temporal Gaussian fields on the two-dimensional unit sphere to the case of chi-squared distributed fields on two-point homogeneous spaces in any dimension. We find that both the asymptotic variance and limiting distribution, as T→ +∞, of the average empirical volume turn out to be non-universal, depending on the memory parameters of the field X.
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Caponera et al. (2024) studied this question.
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