sith
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Hi! I'm working with my PhD thesis at the moment, and I've stumbled upon a pretty involved problem. What I have is a system of equations like this:
\frac{dx}{dt} = A \cos(z)
\frac{dy}{dt} = B x \frac{dx}{dt}
\frac{dz}{dt} = y
where A and B are constants. I also have a stochastic term to z according to:
\delta z(t) = \lim_{N \rightarrow \infty}\pi\sqrt{\frac{t}{N\tau}}\sum_{i = 1}^{N}\zeta_i
where \zeta_i are random numbers of unit variance (normal distributed probability), and \tau is the time scale for the decorrelation of z. I wish to calculate the variance of x as a result of the stochastic variation of z, i.e.,
\langle(\Delta x - \langle\Delta x\rangle)^2\rangle
where \Delta x = x(\tau) - x(0) and \langle ... \rangle is the average of the expression within the brackets with respect to a variation of the values of \zeta_i, weighted according to their probability. I've already calculated the variance of x for B = 0 for which z = y t + z_0 and dx/dt can simply be integrated in time to obtain an analytical expression for x(t). How can I continue to get a more general solution to the problem? Can I e.g. use some perturbation theory for small values of B to begin with?
\frac{dx}{dt} = A \cos(z)
\frac{dy}{dt} = B x \frac{dx}{dt}
\frac{dz}{dt} = y
where A and B are constants. I also have a stochastic term to z according to:
\delta z(t) = \lim_{N \rightarrow \infty}\pi\sqrt{\frac{t}{N\tau}}\sum_{i = 1}^{N}\zeta_i
where \zeta_i are random numbers of unit variance (normal distributed probability), and \tau is the time scale for the decorrelation of z. I wish to calculate the variance of x as a result of the stochastic variation of z, i.e.,
\langle(\Delta x - \langle\Delta x\rangle)^2\rangle
where \Delta x = x(\tau) - x(0) and \langle ... \rangle is the average of the expression within the brackets with respect to a variation of the values of \zeta_i, weighted according to their probability. I've already calculated the variance of x for B = 0 for which z = y t + z_0 and dx/dt can simply be integrated in time to obtain an analytical expression for x(t). How can I continue to get a more general solution to the problem? Can I e.g. use some perturbation theory for small values of B to begin with?
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