71 problems
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Hunt's hypothesis for Hunt processes
A Hunt process is a stochastic process with the strong Markov and regularity properties assumed in probabilistic potential theory. A set is semi-polar if it is contained in a count…
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Peres's product condition conjecture for cutoff
Peres's cutoff conjecture. A process exhibits cutoff if and only if it satisfies the product condition
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Generalization of the representation formula to jump-type Markov processes
Let be a domain, let be a Markov process of jump type, and let the representation formula referred to in the source be denoted by … generalizes to a wide class of Marko…
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Conjecture on generator formulas without an associated transition system
Let be a collection of generators, with each associated to a semigroup . In the setting where the semigroups…
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Strong ergodicity criterion for one-dimensional diffusion processes
Consider the diffusion operator on … and define … The uniqueness criterion is . Strong ergodicity criterion. The criterion for st…
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Aldous-Diaconis spectral-gap conjecture for the symmetric simple exclusion process
Let be a finite graph, and let be the generator of the symmetric simple exclusion process with positive jump rates on its edges. Let be the…
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Existence of q-graded Markovian matrices
A q-graded Markovian matrix is intended to generalize the bi-graded Markovian matrices discussed above, although the source does not define the grading or the required Markovian pr…
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Markovian value-function conjecture for the firm's entry problem
Markovian value-function conjecture. In view of the Markov structure, a solution to this recursion must have the form
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Diaconis–Miclo spectral-gap conjecture for lifted random walks on abelian groups
Let be an abelian group, let be a symmetric set of generators, and let be the corresponding symmetric-walk Laplacian. Let be the generator…
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Diaconis–Miclo square-root speedup conjecture for lifted random walks
Let be an abelian group and let a lifted random walk on be obtained by augmenting the position with a direction variable, producing a second-order Markov chain. Write…
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Diaconis–Miclo ballistic relaxation conjecture for lifted random walks
Consider the lifted random walk on the discrete torus with fixed dimension and direction-change probability . Its relaxation time is denoted by…
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Infinite-dimensionality conjecture for duality kernels of the mutation model
Let be the Markov process on and let be the Markov process on with generator … Let be the Banach space of…
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Chapuy–Marckert conjecture on the Markov property of the ISE density profile
Let be the random differentiable density of the Integrated SuperBrownian Excursion arising as the scaling limit of the vertical profile of suitable conditioned r…
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Non-linear Markov property of the mean-field insurance process
Let be the state space, let , and let denote the law associated with the mean-field process started at time from .…
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The Ray–Knight compactification boundary conjecture for Markov processes
Let be the state space of the Markov processes considered in sections 3–5, and let be a Ray–Knight compactification of . The boundary of interest is the set…
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The conjectured usefulness of robust Markovian mean estimation for time-series outliers
The result concerns robust mean estimation for data that are both Markovian and adversarially contaminated. In particular, the estimator texttt{RUMEM} achieves, under the stated Hu…
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Semi-Markov property conjecture for the time-changed process
Semi-Markov property conjecture. The process is semi-Markov, even in the general case in which is a locally compact separable Hausdorff space.
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Donsker–Varadhan representation conjecture for the killed rate function
Donsker–Varadhan representation conjecture. The rate function in the large deviation principle should satisfy
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Conjecture on convergence to Fock states under quantum non-demolition measurements
Convergence conjecture. The state converges in probability to the set of Fock states, which correspond to the computational basis in .
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The stable free-evolution criterion for uniform convergence of diffusion Monte Carlo
The diffusion Monte Carlo (DMC) method uses a free-evolution transition together with an absorbing well centered at the origin; uniform convergence means convergence whose bounds a…
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Characterization of flip process rules with the same flip process distributions
Flip-process distribution conjecture. The following are equivalent:
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Converse characterization of controlled Markovian quantum generators
The preceding theorem concerns a collection of generators for controlled Markovian quantum dynamics, with the relevant notation and generator class defined there. Converse characte…
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Spectral-extent diagonal-maximum conjecture for sparse random generators
Spectral-extent diagonal-maximum conjecture. The concentration of around , known in the symmetric case under mild conditions on the weig…
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Generalization of mean field accuracy results to rapidly decaying degree distributions
Generalization conjecture. The results could be greatly generalized in this direction for degree distributions with fast decaying tails.
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The pure-jump limiting semigroup conjecture for finite-dimensional kernels
Pure-jump limiting semigroup conjecture. In general, the limiting semigroup will be associated with a pure-jump continuous-time Markov process living in t…