Conjecture on non-Gaussian minimizers in the variational problems

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

inf⁡ν∈P(R){I∞,μpan(w)+H(ν∣μ2)+12(1−m2(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 γ∈Tp\gamma\in\mathcal{T}_p and w∈DIγan∖{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 γ∈Tp\gamma\in\mathcal{T}_p and w∈DIγan∖{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.

References

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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