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The Dynamical Cluster Approximation (DCA) versus the Cellular Dynamical Mean Field Theory (CDMFT) in strongly correlated electrons systems

机译:动态聚类近似(DCa)与细胞动力学  强相关电子系统中的平均场理论(CDmFT)

摘要

We are commenting on the article Phys. Rev. {f B 65}, 155112 (2002) by G.Biroli and G. Kotliar in which they make a comparison between two clustertechniques, the {it Cellular Dynamical Mean Field Theory} (CDMFT) and the {itDynamical Cluster Approximation} (DCA). Based upon an incorrect implementationof the DCA technique in their work, they conclude that the CDMFT is a fasterconverging technique than the DCA. We present the correct DCA prescription forthe particular model Hamiltonian studied in their article and conclude that theDCA, once implemented correctly, is a faster converging technique for thequantities averaged over the cluster. We also refer to their latest response toour comment where they argue that instead of averaging over the cluster, localobservables should be calculated in the bulk of the cluster which indeed makesthem converge much faster in the CDMFT than in the DCA. We however show that intheir original work, the authors themselves use the cluster averaged quantitiesto draw their conclusions in favor of using the CDMFT over the DCA.
机译:我们在评论物理。 Rev. { bf B 65},155112(2002年),作者是G.Biroli和G.Kotliar,他们在两种集群技术之间进行了比较:{ it细胞动态平均场理论}(CDMFT)和{ itDynamical集群近似值}(DCA)。基于他们工作中对DCA技术的错误实施,他们得出结论,CDMFT是比DCA更快的融合技术。我们为哈密顿学在其文章中研究的特定模型提供了正确的DCA处方,并得出结论,DCA一旦正确实施,对于在群集上平均的数量是一种更快的收敛技术。我们还参考他们对我们评论的最新回应,他们认为应该在整个集群中计算局部可观测值,而不是对整个集群进行平均,这实际上使它们在CDMFT中的收敛速度比在DCA中快得多。但是,我们表明,在他们的原始工作中,作者们自己使用群集平均数量得出结论,赞成使用CDMFT而不是DCA。

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