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Fluid limit

From Wikipedia, the free encyclopedia

Inqueueing theory, a discipline within the mathematicaltheory of probability, afluid limit,fluid approximation orfluid analysis of a stochastic model is a deterministic real-valued process which approximates the evolution of a given stochastic process, usually subject to some scaling or limiting criteria.

Fluid limits were first introduced by Thomas G. Kurtz publishing alaw of large numbers andcentral limit theorem forMarkov chains.[1][2] It is known that a queueing network can be stable, but have an unstable fluid limit.[3]

References

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  1. ^Pakdaman, K.; Thieullen, M.; Wainrib, G. (2010). "Fluid limit theorems for stochastic hybrid systems with application to neuron models".Advances in Applied Probability.42 (3): 761.arXiv:1001.2474.doi:10.1239/aap/1282924062.
  2. ^Kurtz, T. G. (1971). "Limit Theorems for Sequences of Jump Markov Processes Approximating Ordinary Differential Processes".Journal of Applied Probability.8 (2). Applied Probability Trust:344–356.JSTOR 3211904.
  3. ^Bramson, M. (1999)."A stable queueing network with unstable fluid model".The Annals of Applied Probability.9 (3): 818.doi:10.1214/aoap/1029962815.JSTOR 2667284.
Single queueing nodes
Arrival processes
Queueing networks
Service policies
Key concepts
Limit theorems
Extensions
Information systems


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