The Markov Approximation assumes that the Correlation time is very short, namely , where
The above results in the 2-time correlation function having most of it’s weight when the time is approximately equal to the Correlation time, i.e. .
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The Markov Approximation assumes that the Correlation time is very short, namely ∫0tTr[V(t)V(τ)ρB]dτ=∫0tTr[V(t−τ)V(0)ρB]dτ≈∫0∞Tr[V(t−τ)V(0)ρB]dτ, where
The above results in the 2-time correlation function having most of it’s weight when the time is approximately equal to the Correlation time, i.e. t≈τ.