14 problems
A high-dimensional random walk on a discrete point process is a random walk on such a point process in sufficiently large dimension. Failure conjecture. There are random walks on d…
Let be the number of real zeros of a random polynomial from any model considered in Section. Assume that the coefficient distribution is subgaussi…
Let be an isotropic distribution, meaning that … Let denote the normalized -fold convolution sequence from the central limit theorem, s…
Weighted fifth-order central limit conjecture. There exists such a weighting function and a universal constant for which
Let be the random completely multiplicative function appearing in the paper, let be the Möbius function, and let be the random measure defined in t…
Asymptotic normality conjecture. There are functions and such that, at least for good ,
Let be a real algebraic manifold of dimension , let be a random section in the complex Fubini--Study model in dimension and codimension , and le…
Let and denote the relevant families of Newman and Littlewood polynomials of degree , and let and count zeros in the open unit d…
Fluctuation-regime conjecture. (i) If as , then the proportion of heads obeys a central limit theorem. (ii) If fails…
Infinite-second-moment examples conjecture. There exist random walks on discrete point processes that satisfy a Central Limit Theorem but do not have all of their second moments fi…
Finite-second-moment conjecture. Theorem $$ remains true under the weaker assumption that only the second moments are finite.
A random walk on a discrete point process is the model studied in the paper, and a central limit theorem means convergence of its appropriately normalized position to a Gaussian li…
Let be the first-passage percolation time across a cylinder of length and half-height , and define … For distributions satisfying the stated moment and admissibilit…
Let be the distribution of the random point measure on for , and let denote Lebesgue measure on…