Manu: saving work
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@ -682,9 +682,10 @@ Therefore, it can be identified as
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an individual-density-functional correlation energy where the density-functional
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correlation energy per particle is approximated by the ensemble one for
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all the states within the ensemble. \manurev{This perturbation expansion
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may not hold in realistic systems, which are all but uniform. Nevertheless, it
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may not hold in realistic systems, which may deviate significantly from
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the uniform density regime. Nevertheless, it
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gives more insight into the eLDA approximation and becomes useful when
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analyzing its performance, as shown in Sec. \ref{sec:res}.\\}
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rationalizing its performance, as illustrated in Sec. \ref{sec:res}.\\}
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Let us stress that, to the best of our knowledge, eLDA is the first
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density-functional approximation that incorporates ensemble weight
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dependencies explicitly, thus allowing for the description of derivative
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@ -1021,13 +1022,20 @@ drastically.
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It is important to note that, even though the GIC removes the explicit
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quadratic Hx terms from the ensemble energy, a non-negligible curvature
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remains in the GIC-eLDA ensemble energy when the electron
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correlation is strong. This is due to
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(i) the correlation eLDA
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functional, which contributes linearly (or even quadratically) to the individual
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energies [see Eqs.~\eqref{eq:Taylor_exp_ind_corr_ener_eLDA} and
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\eqref{eq:Taylor_exp_DDisc_term}], and (ii) the optimization of the
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correlation is strong. \manurev{The latter ensemble energy is computed
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as the weighted
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sum of the individual KS-eLDA energies [see
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Eq.~(\ref{eq:Ew-eLDA})]. Therefore, its
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curvature can only originate from the weight dependence of the
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individual energies.
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Note that such a dependence does not exist in the exact theory. Here,
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the individual density-functional eLDA correlation energies exhibit an
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explicit linear and quadratic dependence on the weights, as discussed
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further in the next paragraph. Note also that the individual KS-eLDA energies
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may gain an additional (implicit) dependence on the weights through the optimization of the
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ensemble KS orbitals in the presence of ghost-interaction errors [see
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Eqs.~\eqref{eq:min_with_HF_ener_fun} and \eqref{eq:WHF}].
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}
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%%% FIG 2 %%%
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\begin{figure*}
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@ -1069,11 +1077,19 @@ weights $\bw$ [see Eqs.~(\ref{eq:ens1RDM}),
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(\ref{eq:decomp_ens_correner_per_part})], the latter contributions will contain both linear and quadratic terms in
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$\bw$, as readily seen from Eq.~(\ref{eq:Taylor_exp_DDisc_term}) [see the second term on the right-hand
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side].} In the biensemble, the weight dependence of the first
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excited-state energy is reduced as the correlation increases. On the other hand, switching from a bi- to a triensemble
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excitation energy is reduced as the correlation increases. On the other hand, switching from a bi- to a triensemble
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systematically enhances the weight dependence, due to the lowering of the
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ground-state energy, as $\ew{2}$ increases.
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The reverse is observed for the second excited state.
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\manurev{Finally, we notice that the crossover point of the
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first excited-state energies based on
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bi- and triensemble calculations, respectively, disappears in the strong correlation
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regime [see the right panel of Fig. \ref{fig:EIvsW}], thus illustrating
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the importance of (individual and ensemble) densities, in
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addition to the
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weights, in the evaluation of individual energies within
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an ensemble.
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}
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%%% FIG 3 %%%
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\begin{figure}
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\includegraphics[width=\linewidth]{EvsL_5}
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