Conjecture on non-Gaussian minimizers in the variational problems

Let p(2,)p\in(2,\infty). For w(1,1){0}w\in(-1,1)\setminus\{0\}, consider the variational problem

infνP(R){I,μpan(w)+H(νμ2)+12(1m2(ν))},\inf_{\nu\in\mathcal{P}(\mathbb{R})}\left\{\mathbb{I}^{\mathsf{an}}_{\infty,\mu_p}(w)+H(\nu\mid\mu_2)+\frac{1}{2}(1-m_2(\nu))\right\},

with the minimizer understood as in. For γTp\gamma\in\mathcal{T}_p and wDIγan{0}w\in D_{\mathbb{I}^{\mathsf{an}}_{\gamma}}\setminus\{0\}, consider analogously the variational problem in.

Non-Gaussian minimizer conjecture. For every p(2,)p\in(2,\infty) and w(1,1){0}w\in(-1,1)\setminus\{0\}, the minimizer in is not μ2\mu_2. Similarly, for every γTp\gamma\in\mathcal{T}_p and wDIγan{0}w\in D_{\mathbb{I}^{\mathsf{an}}_{\gamma}}\setminus\{0\}, the minimizer in is not μ2\mu_2. Consequently, except at w=0w=0, the annealed rate function lies strictly below the quenched rate function.

This conjecture would extend the preceding proposition from the Gaussian setting to all p(2,)p\in(2,\infty) and to products of measures other than γ=μ\gamma=\mu_\infty. Its resolution would clarify when the annealed and quenched rate functions differ strictly away from the origin.

Sources & referencesView supporting material

Primary source

Nina Gantert, Steven Soojin Kim and Kavita Ramanan, “Large deviations for random projections of ^p balls”, arXiv:1512.04988 (2015).

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