Michel–Venkatesh mixing conjecture for shifted packets

From papers

In the setting of shifted packets PDshiftedP_D^{\mathrm{shifted}} on X1××XrX_1\times\cdots\times X_r, assume individual equidistribution, or assume k1==kr=1k_1=\dots=k_r=1. For every pair iji\ne j with ki=kjk_i=k_j and Gi=Gj\mathbb{G}_i=\mathbb{G}_j, require

N(tDitDj1)D,\mathrm{N}\left(t_D^{i}{t_D^{j}}^{-1}\right)\xrightarrow[D\to\infty]{}\infty,

where N(t)\mathrm{N}(t) is the least ideal norm among invertible ideals in the class tt. Michel–Venkatesh mixing conjecture. If this condition is satisfied, then PDshiftedP_D^{\mathrm{shifted}} equidistributes to

mX1mXr.m_{X_1}\otimes\dots\otimes m_{X_r}.

The norm-divergence condition excludes bounded-level Hecke correlations and is presented as the only obstruction to product equidistribution in the stated setting.

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Sources & referencesView supporting material

Primary source

Menny Aka, “Joinings classification and applications [after Einsiedler and Lindenstruass]”, arXiv:2207.10132 (2022).

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