Title :
The robustness of stochastic switching networks
Author :
Loh, Po-Ling ; Zhou, Hongchao ; Bruck, Jehoshua
Author_Institution :
Dept. of Math., California Inst. of Technol., Pasadena, CA, USA
fDate :
June 28 2009-July 3 2009
Abstract :
Many natural systems, including chemical and biological systems, can be modeled using stochastic switching circuits. These circuits consist of stochastic switches, called pswitches, which operate with a fixed probability of being open or closed. We study the effect caused by introducing an error of size. to each pswitch in a stochastic circuit. We analyze two constructions.simple series-parallel and general series-parallel circuits.and prove that simple series-parallel circuits are robust to small error perturbations, while general series-parallel circuits are not. Specifically, the total error introduced by perturbations of size less than isin is bounded by a constant multiple of isin in a simple series-parallel circuit, independent of the size of the circuit. However, the same result does not hold in the case of more general series-parallel circuits. In the case of a general stochastic circuit, we prove that the overall error probability is bounded by a linear function of the number of pswitches.
Keywords :
error statistics; stochastic systems; switching circuits; switching networks; error probability; general series-parallel circuits; linear function; pswitches; simple series-parallel circuit; stochastic switching networks; Biological system modeling; Biological systems; Chemicals; Circuit analysis; Error probability; Robustness; Stochastic processes; Stochastic systems; Switches; Switching circuits;
Conference_Titel :
Information Theory, 2009. ISIT 2009. IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4312-3
Electronic_ISBN :
978-1-4244-4313-0
DOI :
10.1109/ISIT.2009.5205379