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Theory and Modern Applications

Table 2 Approximation of the variance of the solution stochastic process. Example 4.1, assuming independent random data

From: Random non-autonomous second order linear differential equations: mean square analytic solutions and their statistical properties

t

\(\mathbb{V}[X_{15}(t)]\)

\(\mathbb{V}[X_{16}(t)]\)

MC 50,000

MC 100,000

0.00

1

1

0.99610

0.99530

0.25

1.06035

1.06035

1.05902

1.05642

0.50

1.23142

1.23142

1.23408

1.22793

0.75

1.49261

1.49261

1.50041

1.48944

1.00

1.81392

1.81392

1.82744

1.81127

1.25

2.15870

2.15870

2.17768

2.15721

1.50

2.49379

2.49379

2.51690

2.49462

1.75

2.80560

2.80560

2.83029

2.81030

2.00

3.11530

3.11530

3.13783

3.12559