tweak the first flow chapter

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Valentin Boettcher 2022-09-06 14:13:29 +02:00
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@ -16,45 +16,40 @@ treated with the methods developed in here as is shown
\cref{sec:general_obs}. \cref{sec:general_obs}.
The generalization to multiple baths \cref{sec:multibath} and time The generalization to multiple baths \cref{sec:multibath} and time
depend Hamiltonians \cref{sec:timedep} is straight forward. depend Hamiltonians \cref{sec:timedep} will present itself as straight
forward.
\section{Bath Energy Change of a Zero Temperature Bath} \section{Bath Energy Change of a Zero Temperature Bath}
\label{sec:flow_lin} \label{sec:flow_lin}
\begin{itemize}
\item illustrate the general idea with the simplest case
possible:
zero T, one bath, no modulation etc, linear theory
\item this is also the ``historical order''
\item hint at straight forward generalizations in further sections
\end{itemize}
As in~\cite{Hartmann2017Dec} we choose\fixme{This section needs a lot In this section we demonstrate upon the example of the change of the
of love! More Explainations etc..} bath energy, here defined with a negative sign as ``flow'' out of the
bath,
\begin{equation}
\label{eq:heatflowdef}
J = - \dv{\ev{H_\bath}}{t}
\end{equation}
how collective bath observables may be obtained from the formalism
presented in \cref{sec:nmqsd_basics,sec:hops_basics}.
The simplest version of the general model \cref{eq:generalmodel} is
given by
\begin{equation} \begin{equation}
\label{eq:totalH} \label{eq:totalH}
H = H_\sys + \underbrace{LB^† + L^† B}_{H_\inter} + H_\bath H = H_\sys + \underbrace{LB^† + L^† B}_{H_\inter} + H_\bath
\end{equation} \end{equation}
with the system hamiltonian \(H_\sys\), the bath hamiltonian with the system hamiltonian \(H_\sys\), the bath Hamiltonian
\begin{equation} \(H_\bath =_\lambda ω_\lambda a_{λ}^† a_{λ}\), the bath coupling
\label{eq:bathh} system operator \(L\) and the bath coupling bath operator
H_\bath = ∑_\lambda ω_\lambda a^† a, \(B=_{\lambda} g_{\lambda} a_{\lambda}\) which define the interaction
\end{equation} Hamiltonian \(H_\inter\).
the bath coupling system operator \(L\) and the bath coupling bath
operator
\begin{equation}
\label{eq:bop}
B=∑_{\lambda} g_{\lambda} a_{\lambda}
\end{equation}
which define the interaction hamiltonian \(H_\inter\).
We define the heat flow out of the system as in~\cite{Kato2015Aug} We do not consider external modulation of the Hamiltonian, finite
through temperatures or multiple baths, as we are interested in the essentials
\begin{equation} of the procedure. With this approach we also follow the ``historical''
\label{eq:heatflowdef} order of derivation.
J = - \dv{\ev{H_\bath}}{t}.
\end{equation} Working, for now, in the Schr\"odinger picture, the Ehrenfest theorem
Working, for now, in the Schr\"odinger picture the Ehrenfest theorem
can be employed to find can be employed to find
\begin{equation} \begin{equation}
\label{eq:ehrenfest} \label{eq:ehrenfest}
@ -95,31 +90,24 @@ expression for \(J\) follows
\end{equation} \end{equation}
From this point on, we will assume the interaction picture and drop From this point on, we will assume the interaction picture and drop
the \(I\) subscript. The two summands yield different expressions in the \(I\) subscript. The two summands yield different expressions when
terms of the NMQSD. For use with HOPS with the final goal of evaluated in terms of the NMQSD.
utilizing the auxiliary states the expression \(\ev{L^†∂_t B(t)}\)
should be evaluated. When considering the complex conjugate of this
expression, we find a formula involving the derivative of the driving
stochastic process. This is undesirable as it does not exist for all
bath correlation functions\footnote{Only for BCFs that are smooth at
\(τ=0\).} and expressions involving the process directly are alleged
to converge slower. The last fact may be explained by the fact, that
one needs quite a lot of sample paths of the process for the mean of
those sample paths to converge to zero. On the other hand, the first
hierarchy states do contain an integral of-sorts of the sample paths
and are not as sensitive to fluctuations.
For use with HOPS with the final goal of utilizing the auxiliary
states the expression \(\ev{L^†∂_t B(t)}\) should be evaluated.
We calculate We calculate
\begin{equation} \begin{equation}
\label{eq:interactev} \label{eq:interactev}
\ev{L^†∂_t B(t)}=\ev{L^†∂_t B(t)}{\psi(t)} = \ev{L^†∂_t B(t)}=\ev{L^†∂_t B(t)}{\psi(t)} =
\braket{\psi(t)}{z}\mel{z}{L^†∂_tB(t)}{\psi(t)}\frac{\dd[2]{z}}{\pi^N}, \braket{\psi(t)}{\vb{z}}\mel{\vb{z}}{L^†∂_tB(t)}{\psi(t)}\frac{\dd[2]{\vb{z}}}{\pi^N},
\end{equation} \end{equation}
where \(N\) is the total number of environment oscillators and where \(N\) is the total number of environment oscillators and
\(z=\qty(z_{\lambda_1}, z_{\lambda_2}, \ldots)\). Using \(\vb{z}=\qty(z_{\lambda_1}, z_{\lambda_2}, \ldots)\).
\(\mel{z}{a_λ}{ψ}=_{z^\ast_λ}\braket{z}{ψ}=
_{z^\ast_λ}\ket{ψ(z^\ast,t)}\) and Using
\(\mel{z}{a_λ^\dag}{ψ}= z_λ^\ast\braket{z}{ψ}\) we find, \(\mel{\vb{z}}{a_λ}{ψ}=_{z^\ast_λ}\braket{\vb{z}}{ψ}=
_{z^\ast_λ}\ket{ψ(\vb{z}^\ast,t)}\) and
\(\mel{\vb{z}}{a_λ^\dag}{ψ}= z_λ^\ast\ket{ψ(\vb{z}^\ast,t)}\) we find
\begin{equation} \begin{equation}
\label{eq:nmqsdficate} \label{eq:nmqsdficate}
\begin{aligned} \begin{aligned}
@ -129,18 +117,21 @@ where \(N\) is the total number of environment oscillators and
&= ∫_0^t ∑_\lambda g_\lambda &= ∫_0^t ∑_\lambda g_\lambda
\qty(∂_t \eu^{-\iω_\lambda \qty(∂_t \eu^{-\iω_\lambda
t})\pdv{η_s^\ast}{z^\ast_\lambda}\fdv{\ket{\psi(z^\ast,t)}}{η^\ast_s}\dd{s}\\ t})\pdv{η_s^\ast}{z^\ast_\lambda}\fdv{\ket{\psi(z^\ast,t)}}{η^\ast_s}\dd{s}\\
&= -\i_0^t\dot{\alpha}(t-s)\fdv{\ket{\psi^\ast,t)}}{η^\ast_s}\dd{s}, &= -\i_0^t\dot{\alpha}(t-s)\fdv{\ket{\psi^\ast_{t},t)}}{η^\ast_s}\dd{s},
\end{aligned} \end{aligned}
\end{equation} \end{equation}
where where
\(η^\ast_t\equiv -\i_\lambda g^\ast_\lambda z^\ast_\lambda \(η^\ast_t\equiv -\i_\lambda g^\ast_\lambda z^\ast_\lambda
\eu^{\iω_\lambda t}\) which led to the chain rule \eu^{\iω_\lambda t}\) which led to the chain rule
\(_{z^\ast_λ}=\dd{s}\pdv{η_s^\ast}{z^\ast_λ}\fdv{}{η_s^\ast}\). With \(_{z^\ast_λ}=\dd{s}\pdv{η_s^\ast}{z^\ast_λ}\fdv{}{η_s^\ast}\)
this we obtain exactly corresponding to the procedure in
\cref{sec:nmqsd_basics}.
With this we obtain
\begin{equation} \begin{equation}
\label{eq:steptoproc} \label{eq:steptoproc}
\ev{L^†∂_t B(t)} = -\i \mathcal{M}_{η^\ast}\bra{\psi(η, \ev{L^†∂_t B(t)} = -\i \mathcal{M}_{η^\ast}\bra{\psi_{t},
t)}L^†∫_0^t\dd{s} \dot{\alpha}(t-s)\fdv{η^\ast_s} \ket{\psi^\ast,t)}. t)}L^†∫_0^t\dd{s} \dot{\alpha}(t-s)\fdv{η^\ast_s} \ket{\psi^\ast_{t},t)}.
\end{equation} \end{equation}
Defining Defining
\begin{equation} \begin{equation}
@ -169,32 +160,23 @@ Interestingly one finds that
\ev{L∂_t B^†(t)} = \i\frac{\dd[2]{z}}{\pi^N} \ev{L∂_t B^†(t)} = \i\frac{\dd[2]{z}}{\pi^N}
\dot{η}_t^\ast \mel{\psi(η,t)}{L}{\psi^\ast,t)}. \dot{η}_t^\ast \mel{\psi(η,t)}{L}{\psi^\ast,t)}.
\end{equation} \end{equation}
However, this approach becomes more complicated in the nonlinear This expression is undesirable as it does not exist for all bath
method. correlation functions\footnote{Only for BCFs that are smooth at
The previous expression has the advantage \(τ=0\).} and expressions involving the process directly are alleged
that we utilize the first hierarchy states that are already being to converge slower. Furthermore, this approach becomes more
calculated as a byproduct. complicated in the nonlinear method. We will briefly return to this
issue in \cref{sec:general_obs}.
In the language of~\cite{Hartmann2021Aug} we can generalize to In the language of \cref{sec:hops_basics} we can generalize to
\(\alpha(t) =_i G_i \eu^{-W_i t}\) and thus \(\alpha(t) =_i G_i \eu^{-W_i t}\) obtaining
\begin{equation}
\label{eq:hopsflowrich}
J(t) = ∑_\mu\frac{G_\mu W_\mu}{\bar{g}_\mu} \i\mathcal{M}_{η^\ast}\bra{\psi^{(0)}(η,
t)}L^\ket{\psi^{\vb{e}_\mu}^\ast,t)} + \cc,
\end{equation}
where \(\psi^{\vb{e}_\mu}\) is the \(\mu\)-th state of the first
hierarchy and \(\bar{g}_\mu\) is an arbitrary scaling introduced in
the definition of the hierarchy in~\cite{Hartmann2021Aug} to help with
the scaling of the norm.
With the new ``fock-space'' normalization (see \cref{eq:dops_full})
however the expression becomes
\begin{equation} \begin{equation}
\label{eq:hopsflowfock} \label{eq:hopsflowfock}
J(t) = - ∑_\mu\sqrt{G_\mu}W_\mu J(t) = - ∑_\mu\sqrt{G_\mu}W_\mu
\mathcal{M}_{η^\ast}\bra{\psi^{(0)}(η, \mathcal{M}_{η^\ast}\bra{\psi^{(0)}(η,
t)}L^\ket{\psi^{\vb{e}_\mu}^\ast,t)} + \cc. t)}L^\ket{\psi^{\vb{e}_\mu}^\ast,t)} + \cc,
\end{equation} \end{equation}
where \(\ket{\psi^{\vb{e}_\mu}(η^\ast,t)}\) are the first hierarchy
states.
\section{Generalization to the Nonlinear Theory} \section{Generalization to the Nonlinear Theory}
\label{sec:nonlin_flow} \label{sec:nonlin_flow}
@ -519,12 +501,17 @@ the form
The corresponding version of~\cref{eq:f_ex_zero} would only depend on The corresponding version of~\cref{eq:f_ex_zero} would only depend on
the zeroth order state and the stochastic processes. It has been the zeroth order state and the stochastic processes. It has been
observed that expressions involving the stochastic process directly observed that expressions involving the stochastic process directly
tend to converge slower. However this statement comes without tend to converge slower. However, this statement comes without
empirical proof and its verification may be left to future empirical proof and its verification may be left to future study. An
study. Also, this alternative method could be used convergence and explanation may be that the first hierarchy states fluctuate about
their average dynamics whereas the stochastic process fluctuates
around zero and does not contain much information about the actual
dynamics.
Also, this alternative method could be used convergence and
consistency check, as expressions of the form~\cref{eq:with_process} consistency check, as expressions of the form~\cref{eq:with_process}
only involve the hierarchy cutoff and the exponential expansion of the BCF only involve the hierarchy cutoff and the exponential expansion of the
in an indirect manner. BCF in an indirect manner.
\subsection{Interaction Energy} \subsection{Interaction Energy}
\label{sec:intener} \label{sec:intener}