14 problems
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Propagation of chaos for the delayed Poissonian mean-field model
The delayed Poissonian mean-field model is an interacting-particle system with Poisson-like attributes, and its corresponding mean-field PDE is intended to describe the large-parti…
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Poisson Hypothesis for the closed queueing network
Poisson Hypothesis. As , every fixed -tuple of servers becomes asymptotically mutually independent and identically distributed; the flow to a g…
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Sufficiency of unique mean-field stationarity for a uniform log-Sobolev inequality
Uniform LSI conjecture. Under suitable additional assumptions, uniqueness of the stationary solution of the mean-field limit, equivalently uniqueness of the solution of the associa…
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A coupling approach to propagation of chaos for genetic-algorithm particle systems
Let be the GA particle system, and let be independent copies of the mono-particle process. Coupling conjecture…
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Removal of the cubic term in the average entropy estimate
Cubic-term removal conjecture. The cubic term
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The mean-field limit conjecture for the Ensemble Langevin sampler
Let be such that is integrable, and let denote the limiting particle process with law…
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Conjecture on the limiting log-Sobolev constant for weakly interacting diffusions
Limiting log-Sobolev constant conjecture. Under assumptions A1 and A2, the limit of the particle-system log-Sobolev constants is uniquely characterised by the mean-field dissipatio…
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Linear-in-dimension neuron-width conjecture for propagation of chaos
Let be the number of neurons and let denote the dimension parameter governing the model's technical difficulty. Assume that the quantity from the source re…
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Detailed-chaos propagation for the Kac process with exclusion
Detailed-chaos propagation conjecture. The Kac process on propagates detailed chaos according to Definition.
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Exponential-gap propagation of chaos for the Kac process with exclusion
Exponential-gap propagation conjecture. The process defined here propagates chaos with exponential gap distribution.
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Exchangeability conjecture for initial data in weakly interacting oscillators
Exchangeability conjecture. The convergence result for the empirical measures should still hold if the independence assumption on the initial data is replaced by exchangeability of…
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Local-in-time uniqueness conjecture for weak annihilation
Assume that the collision kernel is the hard-sphere kernel … for and , and let be the correspon…
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Relaxation of the observability condition for stable signal-drift matrices
Relaxation conjecture. Condition is purely technical and can be relaxed when the signal-drift matrix is stable.
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Optimality of the inverse-square-root convergence speed in homogeneous neural networks
Optimal convergence-speed conjecture. The fastest possible convergence has speed , achieved when