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Theory and Modern Applications

Table 3 Absolute error of the expectation of \(\pmb{X(t)}\) with the Euler, RK2 and RK4 methods and \(\pmb{h=\frac{1}{20}}\) , \(\pmb{h=\frac{1}{50}}\)

From: Mean square numerical solution of stochastic differential equations by fourth order Runge-Kutta method and its application in the electric circuits with noise

t

Euler

RK2

RK4

\(\boldsymbol {h=\frac{1}{20}}\)

\(\boldsymbol {h=\frac{1}{50}}\)

\(\boldsymbol {h=\frac{1}{20}}\)

\(\boldsymbol {h=\frac{1}{50}}\)

\(\boldsymbol {h=\frac{1}{20}}\)

\(\boldsymbol {h=\frac{1}{50}}\)

0.1

7.548 × 10−4

4.513 × 10−4

9.315 × 10−6

6.678 × 10−6

2.170 × 10−10

1.007 × 10−10

0.2

1.158 × 10−3

8.536 × 10−4

4.173 × 10−5

1.352 × 10−5

4.352 × 10−10

2.568 × 10−10

0.3

3.124 × 10−3

1.421 × 10−3

6.457 × 10−5

2.098 × 10−5

6.575 × 10−10

4.123 × 10−10

0.4

5.207 × 10−3

3.521 × 10−3

7.125 × 10−5

2.983 × 10−5

8.921 × 10−10

6.348 × 10−10

0.5

7.128 × 10−3

5.326 × 10−3

8.423 × 10−5

4.130 × 10−5

1.160 × 10−9

8.457 × 10−10

0.6

3.369 × 10−2

8.459 × 10−3

9.845 × 10−5

5.725 × 10−5

1.525 × 10−9

1.253 × 10−9

0.7

5.476 × 10−2

2.823 × 10−2

1.405 × 10−4

8.054 × 10−5

2.183 × 10−9

2.159 × 10−9

0.8

6.897 × 10−2

4.106 × 10−2

2.306 × 10−4

1.157 × 10−4

3.734 × 10−9

3.458 × 10−9

0.9

9.253 × 10−2

6.456 × 10−2

5.623 × 10−4

1.701 × 10−4

7.949 × 10−9

5.442 × 10−9

1.0

2.176 × 10−1

8.036 × 10−2

7.236 × 10−4

2.560 × 10−4

1.980 × 10−8

8.864 × 10−9