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https://github.com/vale981/master-thesis-tex
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grammer fixes
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2 changed files with 25 additions and 23 deletions
12
flake.lock
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12
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@ -2,11 +2,11 @@
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@ -17,11 +17,11 @@
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@ -1310,6 +1310,22 @@ coupling strengths.
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The interaction strength was chosen linearly spaced and the simulation
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results are presented in \cref{fig:delta_energy_overview}.
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As the shape of the BCF is not altered between the simulations, the
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bath energy flows look very similar as do the interaction
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energies. The main difference between the simulations is the magnitude
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of the interaction energy. With increased coupling strength there is
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an increased interaction energy and an increased flow which leads to
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faster energy loss in the system and faster energy gain of the
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bath. The stronger the coupling, the more pronounced is the
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non-monotonicity in time of the interaction energy, which is reflected
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in a non-monotonicity in the bath energy expectation value.
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The bath energy reaches a maximum and falls slightly for the strongest
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coupling simulations. If the interaction is strong enough,
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``backflow'' can occur despite finite bath correlation times. In
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\cref{fig:markov_analysis_steady} the bath memory is long,
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additionally to a strong coupling so that multiple oscillations can be
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seen.
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\begin{figure}[htp]
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\centering
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\includegraphics{figs/one_bath_syst/δ_energy_overview}
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@ -1318,20 +1334,6 @@ results are presented in \cref{fig:delta_energy_overview}.
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strengths. The curves are converged out, and the error funnels are
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not visible.}
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\end{figure}
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As the shape of the BCF is not altered between the simulations, the
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bath energy flows look very similar as do the interaction
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energies. The main difference is the magnitude of the interaction
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energy. With increased coupling strength there is an increased
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interaction energy and an increased flow which leads to faster energy
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loss in the system and faster energy gain of the bath. The stronger
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the coupling, the more pronounced as the non-monotonicity in time of
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the interaction energy, which is reflected in a non-monotonicity in
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the bath energy expectation value. The bath energy reaches a maximum
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and falls slightly for the strongest coupling simulations. If the
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interaction is strong enough, ``backflow'' can occur despite finite
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bath correlation times. In \cref{fig:markov_analysis_steady} the bath
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memory is long, additionally to a strong coupling so that multiple
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oscillations can be seen.
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Despite these differences for finite times, the approximate steady
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state\footnote{excluding the \(α(0)=0.4\) cases} interaction energies,
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@ -1380,9 +1382,9 @@ found in
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Many central questions in thermodynamics are concerned with energy
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extraction from macroscopic systems. These questions can be framed in
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operational terms that don't require a specific definition of heat and
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just relying on energy change in the total system or its
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constituents. Energy quantities are now accessible to us in a rather
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general settings, making issues related energy extraction a prime
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just rely on the energy change in the total system or its
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constituents. These quantities are now accessible to us in a rather
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general setting, making issues related energy extraction a prime
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application for our method.
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Here, we will focus on the closely related problems. The first is
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