In principle, a system perturbation can be taken into account by mean estimated difference, between the Value computed in two independent calculation, one with a nominal system rather the second with the perturbed system.
Small perturbations, practically, for small perturbations, the computation time necessary to obtain a statistical uncertainty on the difference of these values that is sufficiently low is prohibitive. Also number of perturbations required is often huge, therefore it is difficult to resort to independent calculation.
Which method can be sufficient to calculate the perturbation dependently (between the two system mentioned before)?!
Dear Mohamed Salem , assuming that linear response theory holds in your system (this will fail, for instance, in the vicinity of a critical point) all you need to do is compute a response function (the convolution of the response function with the perturbation, will give you directly the difference between the value of the conjugated observable in the pertubed case and in the unperturbed one, to first order in the perturbation, which is fine if the perturbation is small).
There are indeed methods to compute response functions without perturbing the original system, which is helpful because as you say, the time needed to sample important differences between the perturbed and unperturbed system is large if the perturbation is very small. Please find a relevant reference in the context of Montecarlo simulations of spin glasses in the paper below.
Thanks , but even the perturbation would be small, I don't want to neglect it , that the main idea, as I am thinking for a correction scale to multiphase volume, which might cause small perturbations to become a serious error/changes in the end
and thanks for the publication, it is really interested
You're welcome. I must say that what you're now saying is by no means what I interpreted from your original question, so I apologize if my answer was off-topic.