Derives decoupling conditions for fluctuating-growth size-structured populations and connects them to Feynman-Kac formula via random time changes and exponential tilting.
Springer Science & Business Media, 2013
4 Pith papers cite this work. Polarity classification is still indexing.
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Cross-matrix Krylov projection reuses shared subspaces from seed matrices to accelerate score pre-computation in diffusion models, delivering 15.8-43.7% time savings and up to 115x speedup versus DDPM baselines.
Solutions of graph reaction-diffusion equations on sequences of graphs converging in cut norm to a graphon converge in L^p to the solution of a limiting graphon RD equation, with a corresponding large-numbers result for stochastic particle processes.
The authors prove exponential ergodicity in Wasserstein distance for regime-switching neutral stochastic functional differential equations with infinite delay, using coupling for finite states and Lyapunov functions plus M-matrix theory for infinite states.
citing papers explorer
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Size-structured populations with growth fluctuations: Feynman--Kac formula and decoupling
Derives decoupling conditions for fluctuating-growth size-structured populations and connects them to Feynman-Kac formula via random time changes and exponential tilting.
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Efficient Score Pre-computation for Diffusion Models via Cross-Matrix Krylov Projection
Cross-matrix Krylov projection reuses shared subspaces from seed matrices to accelerate score pre-computation in diffusion models, delivering 15.8-43.7% time savings and up to 115x speedup versus DDPM baselines.
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Graphon Limits of Graph Reaction--Diffusion Equations
Solutions of graph reaction-diffusion equations on sequences of graphs converging in cut norm to a graphon converge in L^p to the solution of a limiting graphon RD equation, with a corresponding large-numbers result for stochastic particle processes.
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Ergodicity for regime-switching neutral stochastic functional differential equations with infinite delay
The authors prove exponential ergodicity in Wasserstein distance for regime-switching neutral stochastic functional differential equations with infinite delay, using coupling for finite states and Lyapunov functions plus M-matrix theory for infinite states.