arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2104.13802cond-mat.str-elcond-mat.supr-con
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量子临界附近二维费米子的一维散射

One-dimensional scattering of two-dimensional fermions near quantum criticality

Dimitri Pimenov, Alex Kamenev, Andrey V. Chubukov

摘要:

前向和后向散射在二维相互作用费米子的物理学中起着特殊的作用。在费米液体中,这两种情况都产生了非解析的$ω^2 \log(ω)$形式的费米子散射率。在这里,我们认为,更高的功率的$\log(ω)$出现在后向散射的贡献,在更高的订单。我们表明,这些条款来自“平面”的过程,这是有效的一维。这是明确地证明了扩展的费米液体的极限$N \gg 1$费米口味,当只有平面过程生存。我们总结的情况下,一个二维费米液体附近的一个相变的领先的矩阵,并获得在$T=0$的散射率在相互作用中的所有订单的表达式。对于排斥相互作用,所得到的速率在热力学上被抑制,并且结果在低至$ω= 0$时有效。对于吸引相互作用,基态是具有带隙$Δ_0$的$s$波超导体.我们表明,在这种情况下,随着$ω$向$Δ_0$减少,散射率增加。在$ω\geq Δ_0$,散射率的行为是相当非常规的,因为许多配对通道在临界点附近竞争,并且$s$波仅以很小的优势获胜。我们考虑了超导性,并在较小的$ω\simeq Δ_0$下得到了散射率。

英文摘要:

Forward and backscattering play an exceptional role in the physics of two-dimensional interacting fermions. In a Fermi liquid, both give rise to a non-analytic $ω^2 \log(ω)$ form of the fermionic scattering rate at second order in the interaction. Here we argue that higher powers of $\log(ω)$ appearin the backscattering contribution at higher orders. We show that these terms come from "planar" processes, which are effectively one-dimensional. This is explicitly demonstated by extending a Fermi liquid to the limit of $N \gg 1$ fermionic flavors, when only planar processes survive. We sum the leading logarithms for the case of a 2D Fermi liquid near a nematic transition and obtain an expression for the scattering rate at $T=0$ to all orders in the interaction. For a repulsive interaction, the resulting rate is logarithmically suppressed, and the result is valid down to $ω= 0$. For an attractive interaction, the ground state is an $s$-wave superconductor with a gap $Δ_0$. We show that in this case the scattering rate increases as $ω$ is reduced towards $Δ_0$. At $ω\geq Δ_0$, the behavior of the scattering rate is rather unconventional as many pairing channels compete near a nematic critical point, and $s$-wave wins only by a narrow margin. We take superconductivity into consideration and obtain the scattering rate also at smaller $ω\simeq Δ_0$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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