Tokyo/Formulation/5.stochastic differential equation model with poisson random variables
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we introduced the terms of [[Tokyo/Formulation/4.population model|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 | we introduced the terms of [[Tokyo/Formulation/4.population model|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 | ||
| - | <br>[[Image:expression5-1.jpg|400px| | + | <br>[[Image:expression5-1.jpg|400px|left|thumb|Ex 5-1]][[Image:parameter4-1.jpg|150px|none|thumb|Table 5]] |
<br>The values of parameters in the right table were used and the results of simulation were shown in Fig 5.1.A-C. | <br>The values of parameters in the right table were used and the results of simulation were shown in Fig 5.1.A-C. | ||
Revision as of 07:01, 24 October 2007
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
The values of parameters in the right table were used and the results of simulation were shown in Fig 5.1.A-C.
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．
