Manu: added (many comments) about the curvature to sec. V
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@ -1065,13 +1065,80 @@ equi\manu{-tri}-ensemble (or \manu{equal-weight} state-averaged) limit where $\b
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First, we discuss the linearity of the ensemble energy.
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To do so, we consider 5-boxium with box lengths of $L = \pi/8$, $L = \pi$, and $L = 8\pi$, which correspond (qualitatively at least) to the weak, intermediate, and strong correlation regimes, respectively.
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The three-state ensemble energy $\E{}{(\ew{1},\ew{2})}$ is represented in Fig.~\ref{fig:EvsW} as a function of both $\ew{1}$ and $\ew{2}$ while fulfilling the restrictions on the ensemble weights to ensure the GOK variational principle [\ie, $0 \le \ew{1} \le 1/3$ and $0 \le \ew{2} \le \ew{1}$].
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The three-state ensemble energy $\E{}{(\ew{1},\ew{2})}$ is represented
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in Fig.~\ref{fig:EvsW} as a function of both $\ew{1}$ and $\ew{2}$ while
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fulfilling the restrictions on the ensemble weights to ensure the GOK
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variational principle [\ie, $0 \le \manu{\ew{2}} \le 1/3$ and \manu{$\ew{2} \le \ew{1} \le (1-\ew{2})/2$}].
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To illustrate the magnitude of the ghost interaction error (GIE), we report the KS-eLDA ensemble energy with and without ghost interaction correction (GIC) as explained above [see Eqs.~\eqref{eq:WHF} and \eqref{eq:EI-eLDA}].
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As one can see in Fig.~\ref{fig:EvsW}, the GOC-free ensemble energy becomes less and less linear as $L$ gets larger, while the GOC makes the ensemble energy almost perfectly linear.
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\manu{Manu: Just to be sure. What you refer to as the GIC ensemble
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energy is
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\beq
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\E{GIC-eLDA}{\bw}=\sum_{I\geq0}\ew{I}\E{{eLDA}}{(I)},
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\eeq
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right? (I will move this to the theory section later on). The ensemble
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energy with GIE is the one computed in
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Eq.~\eqref{eq:min_with_HF_ener_fun},
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\beq
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\E{HF-eLDA}{\bw}=\E{GIC-eLDA}{\bw}+\WHF[
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\bGam{\bw}]-\sum_{I\geq0}\ew{I}\WHF[ \bGam{(I)}]
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\eeq
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\underline{Some suggestions for Fig. 1}: In order to "see" the curvature
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it might be convenient to
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plot $E^{(w_1,0)}-E^{(0,0)}$ and $E^{(1/3,w_2)}-E^{(1/3,0)}$ rather than $E^\bw$. Adding the exact curves
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would be nice (we could see that the slope is also substantially
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improved when introducing the GIC, at least in the strongly correlated
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regime). Showing the linearly-interpolated energies also helps in
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"seeing" the curvature.\\}
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As one can see in Fig.~\ref{fig:EvsW}, \manu{without GIC}, the
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\trashEF{GOC-free} ensemble energy becomes less and less linear as $L$
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gets larger, while the \manu{GIC} makes the ensemble energy almost
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perfectly linear. \manu{Manu: well, after all, it is not that stricking
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for the bi-ensemble (black curves), as you point out in the following.
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"Perfectly linear" is maybe too strong.}
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In other words, the GIE increases as the correlation gets stronger.
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Because the GIE can be easily computed via Eq.~\eqref{eq:WHF} even for real, three-dimensional systems, this provides a cheap way of quantifying strong correlation in a given electronic system.
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It is important to note that, even though the GIC removes the explicit quadratic terms from the ensemble energy, a weak non-linearity remains in the GIC ensemble energy due to the optimization of the ensemble KS orbitals in the presence of GIE.
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However, this ``density-driven'' type of error is small (in our case at least) as the correlation part of the ensemble KS potential $\delta \E{c}{\bw}[\n{}{}] /\delta \n{}{}(\br{})$ is relatively small compared to the Hx contribution.
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\manu{Manu: discussing GIE while focusing exclusively on the linearity
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is not completely relevant. The GIE is about interactions between two
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different states. Individual interaction terms also have
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quadratic-in-weight factors in front, which contribute to the curvature
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of course. Our GIC removes not only the GIE (I guess we should see the
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improvement by looking at the slope) but also the wrong factors in front
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of individual interactions.}
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Because the GIE can be easily computed via Eq.~\eqref{eq:WHF} even for
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real, three-dimensional systems, this provides a cheap way of
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quantifying strong correlation in a given electronic system.\manu{This
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is a strong statement I am not sure about. The nature of the excitation
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should also be invoked I guess (charge transfer or not, etc ...). If we look at the GIE:
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\beq
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\WHF[
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\bGam{\bw}]-\sum_{I\geq0}\ew{I}\WHF[ \bGam{(I)}]
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\eeq
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For a bi-ensemble ($w_1=w$) it can be written as
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\beq
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\dfrac{1}{2}\left[(w^2-1)W_0+w(w-2)W_1\right]+w(1-w)W_{01}
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\eeq
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If, for some reason, $W_0\approx W_1\approx W_{01}=W$, then the error
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reduces to $-W/2$, which is weight-independent (it fits for example with
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what you see in the weakly correlated regime). Such an assumption depends on the nature of the
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excitation, not only on the correlation strength, right? Neverthless,
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when looking at your curves, this assumption cannot be made when the
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correlation is strong. It is not clear to me which integral ($W_{01}?$)
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drives the all thing.\\}
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It is important to note that, even though the GIC removes the explicit
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quadratic terms from the ensemble energy, a weak \manu{Manu: is it that weak
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when correlation is strong? Look at the bi-ensemble case} non-linearity
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remains in the GIC ensemble energy due to the optimization of the
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ensemble KS orbitals in the presence of GIE [see Eq.~\eqref{eq:min_with_HF_ener_fun}].
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However, this \manu{orbital-driven} error is small \manu{Manu: again, can we
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really say "small" when looking at the strongly correlated case. It
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seems to me that there is some residual curvature which is a signature
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of the error in the orbitals} (in our case at
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least) \trashEF{as the correlation part of the ensemble KS potential $\delta
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\E{c}{\bw}[\n{}{}] /\delta \n{}{}(\br{})$ is relatively small compared
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to the Hx contribution}.\manu{Manu: well, I guess that the problem arises
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from the density matrices (or orbitals) that are used to compute
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individual Coulomb-exchange energies (I would not expect the DFT
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correlation part to have such an impact, as you say). The best way to check is to plot the
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ensemble energy without the correlation functional.}
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%%% FIG 2 %%%
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\begin{figure}
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