Tokyo/Formulation/5.stochastic differential equation model with poisson random variables

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Revision as of 09:09, 24 October 2007 by Akama (Talk | contribs)

we introduced the terms of Ex 4-1 into a stochastic process to simulate the sthochastic behavior.we used Poisson random variables as a sthochastic process. Threfore,a stochastic differential equations were given as


Ex 5-1
Table 5


The values of parameters in the right table were used and the results of simulation were shown in Fig 5.1-3.where α2 = 1(μM) in Fig 5.1,α2 = 2.7(μM) in Fig 5.2,α2 = 4(μM) in Fig 5.3. and it has been estimated that 1(μM) = 1000 molecules (count).

Figure 5.1.A  t=0.2(min)
Figure 5.1.B  t=0.8(min)
Figure 5.1.C  t=30(min)  failure only A's


Figure 5.2.A  t=0.2(min)
Figure 5.2.B  t=0.8(min)
Figure 5.2.C  t=30(min)  success!! coexistence


Figure 5.3.A  t=0.2(min)
Figure 5.3.B  t=0.8(min)
Figure 5.3.C  t=30(min)  failure only B's



パラメータを3種類使ってシミュレーションした結果が以下である. これとstep4のdetermineの相平面とを比べるとこうですよ.