The Anderson transition on the Bethe lattice (infinite regular tree) can be characterized through the statistics of real-energy cavity propagators: summing the susceptibility along the KLK^L paths of a tree of depth LL, the transition occurs when Kλ(1/2)=1K\lambda(1/2)=1, where λ(s)\lambda(s) is the largest eigenvalue of an integral kernel KsK_s acting on the distribution of the propagators. Parisi, Pascazio, Pietracaprina, Ros and Scardicchio (J. Phys. A 53, 014003 (2020)) solved this kernel exactly at s=0s=0 for Cauchy disorder (finding a gapped spectrum and explicit eigenstates), proved the weak-disorder law D1=1−κW4+o(W4)D_1=1-\kappa W^4+o(W^4) for the tree fractal dimension with κ\kappa left only numerically evaluated (κ=(5.0±0.6)×10−5\kappa=(5.0\pm0.6)\times10^{-5} at connectivity K=2K=2, box disorder), and showed that the forward approximation fails in the large-disorder/large-connectivity limit because it neglects self-energy-induced correlations between consecutive propagators. They explicitly left as future work the systematic perturbative expansion of λ(s)\lambda(s) about s=0s=0, the identification of which contributions of that expansion must be retained at large disorder/connectivity to recover the correct s=1/2s=1/2 asymptotics (equivalently the critical disorder Wc∼4Kln⁡KW_c\sim4K\ln K instead of the forward-approximation 2eKln⁡K2eK\ln K), and the analytic computation of the constants cc and κ\kappa. The problem remains open.

Background

The Anderson model is the simplest description of a quantum particle in a disordered crystal: a tight-binding Hamiltonian with random on-site energies ϵi\epsilon_i drawn from a distribution of width WW (e.g. uniform on [−W/2,W/2][-W/2, W/2], the 'box' disorder, or a Cauchy/Lorentz distribution). On sufficiently disordered or low-dimensional lattices its eigenfunctions are localized (wavefunction weight concentrated on finitely many sites) rather than extended, with a localization-delocalization transition at a critical disorder WcW_c. The Bethe lattice is the infinite regular tree with branching number KK (each site has K+1K+1 neighbors); it is the mean-field-like geometry on which the Anderson transition is most tractable, and it is locally indistinguishable from a random regular graph (RRG) - a finite NN-vertex graph, fixed degree, whose loops all have length of order ln⁡N\ln N. The Bethe lattice and RRG also serve as the standard toy geometry for many-body localization (MBL), because the configuration (Fock) space of an interacting disordered system resembles a highly connected graph that is locally tree-like.

The workhorse of the subject is the self-consistent theory of Abou-Chacra, Thouless and Anderson (ACTA, 1973). Removing one link of the tree creates a 'cavity' sub-tree, and the corresponding diagonal resolvent entries ('cavity propagators' or cavity Green functions) satisfy a closed recursion: Gi=1/(E−ϵi−∑k=1KGk)G_i=1/(E-\epsilon_i-\sum_{k=1}^{K}G_k), where the GkG_k are independent copies associated with the KK branches. In the standard approach one adds a small imaginary part iη\mathrm{i}\eta to the energy; the modern numerical implementation is 'population dynamics' - iterating the recursion on a large population of propagators to obtain their stationary probability distribution P(G)P(G). Parisi et al. (J. Phys. A 53, 014003 (2020)) instead work directly at real energies EE (relevant observables such as the local density of states are limits of real-axis quantities), which corresponds to taking η→0\eta\to0 before N→∞N\to\infty, the 'inverted thermodynamic limit' under which the propagators are real random variables. Their central object is the susceptibility along a path of the tree, essentially the product of squared propagators Gk2G_k^2 along it; the total susceptibility of a site at depth LL is the sum of these contributions over the KLK^L paths. The transition is the divergence of this sum with LL, and its statistics are controlled by the Mellin transform in ss of the distribution of path susceptibilities, whose decay rate is set by the largest eigenvalue λ(s)\lambda(s) of an explicit integral kernel KsK_s built from P(G)P(G) and the disorder distribution. Because the recursion inverts under G→1/GG\to1/G, the kernel obeys an exact symmetry λ(s)=λ(1−s)\lambda(s)=\lambda(1-s), and the transition criterion reduces to Kλ(1/2)=1K\lambda(1/2)=1 - equivalent to the original ACTA stability criterion and to the 'resonant' delocalization criterion of Aizenman and Warzel. The typical single-path decay rate θtyp=−dλ/ds\theta_{\mathrm{typ}}=-d\lambda/ds at s=0s=0 governs the linear term of the small-ss expansion λ(s)=1−sθtyp+O(s2)\lambda(s)=1-s\theta_{\mathrm{typ}}+O(s^2).

Two exactly-solvable limits anchor the problem. (1) Cauchy disorder: the Cauchy distribution is stable under the cavity recursion, and at s=0s=0 the paper computes the full spectrum and eigenstates of the kernel explicitly (Bessel/Laguerre-type functions), showing the spectrum is gapped - the gap implies exponentially decaying correlations between consecutive propagators and guarantees that the perturbative expansion of λ(s)\lambda(s) in ss about 0 is convergent. Moreover, as W→0W\to0 the stationary distribution becomes Cauchy for any bare disorder, so the Cauchy kernel is the universal weak-disorder reference. (2) Large disorder and large connectivity: Anderson's original 1958 argument gives the asymptotic critical disorder Wc=4Kln⁡KW_c=4K\ln K (box disorder), whereas the 'forward approximation' (FA, also called forward scattering approximation) - dropping the self-energy term ∑kGk\sum_k G_k from the recursion denominators, which decouples consecutive propagators along a path - yields the different asymptotics Wc=2eKln⁡KW_c=2eK\ln K. The FA is the basis of many analytic treatments, including much of the MBL literature, so understanding precisely how the neglected self-energy correlations repair it is of broad interest. Parisi et al. show that at large disorder the leading eigenvector of K1/2K_{1/2} approaches the FA distribution, and construct an interpolation between the FA and the full problem; what is missing is a systematic expansion that identifies, order by order, which classes of terms accumulate to move the FA answer to the correct one.

The weak-disorder regime connects λ(s)\lambda(s) to eigenfunction statistics. The information (fractal) dimension D1D_1 quantifies how the effectively occupied number of sites of an eigenfunction scales with system size (D1=1D_1=1 for ergodic extended states, D1<1D_1<1 for multifractal ones). Defined through tree (inverted-limit) quantities as in Kravtsov, Altshuler and Ioffe (Ann. Phys. 389, 148 (2018)), D1=Λ/ln⁡KD_1=\Lambda/\ln K, where the exponent Λ\Lambda can be expressed as an extremum over ss of (ln⁡K+μ(s))/(1−s)(\ln K+\mu(s))/(1-s) with μ=ln⁡λ\mu=\ln\lambda. Expanding near s=1s=1 and using the conjecture θtyp=ln⁡K+cW2\theta_{\mathrm{typ}}=\ln K+cW^2 for disorder distributions falling faster than 1/ϵ21/\epsilon^2, the paper derives D1=1−κW4+o(W4)D_1=1-\kappa W^4+o(W^4) with κ=c2/(2μ′′(0,0)ln⁡K)\kappa=c^2/(2\mu''(0,0)\ln K), where μ′′\mu'' is a second derivative at the point (W,s)=(0,0)(W,s)=(0,0). This recovers analytically the qualitative W4W^4 flatness found numerically by Kravtsov et al., but the constants cc and κ\kappa are not evaluated: the paper only fits cc numerically (c=(4.1±0.2)×10−3c=(4.1\pm0.2)\times10^{-3} for box disorder) and quotes a numerical κ=(5.0±0.6)×10−5\kappa=(5.0\pm0.6)\times10^{-5} at K=2K=2, noting that cc 'can be computed using perturbation theory in ss and WW around the W=0W=0, s=0s=0 point' with the appendix eigenstates - a computation it leaves undone. Note the interpretive context, established by Tikhonov and Mirlin (Phys. Rev. B 94, 184203 (2016)) and confirmed by later work: the tree/inverted-limit D1<1D_1<1 does not mean the delocalized phase of the RRG is non-ergodic; on RRGs ergodicity is restored in the thermodynamic limit, with very strong finite-size crossover effects.

Problem Statement

Within the real-energy cavity (population-dynamics) framework of Parisi et al. (J. Phys. A 53, 014003 (2020)) for the Anderson model on the Bethe lattice of branching number KK, develop the analytic control of λ(s)\lambda(s), the largest eigenvalue of the integral kernel KsK_s that determines the ss-moments of the distribution of cavity susceptibilities, along the lines the source paper explicitly leaves for future work. The common objective uniting the requested results is a controlled analytic evaluation of λ(s)\lambda(s) - beyond both the exactly solved s=0s=0 Cauchy point and the forward approximation - from which the transition criterion Kλ(1/2)=1K\lambda(1/2)=1, the large-connectivity asymptotics of the critical disorder, and the weak-disorder fractal dimension D1D_1 all follow. Specifically:

(1) Construct the systematic perturbative expansion of λ(s)\lambda(s) about s=0s=0, λ(s)=1−sθtyp+O(s2)\lambda(s)=1-s\theta_{\mathrm{typ}}+O(s^2), giving explicit expressions for the coefficients of sns^n at general order nn and their combinatorial origin. The expansion is expected to be convergent because the spectrum of the s=0s=0 kernel is gapped.

(2) Identify which classes of contributions in this expansion must be retained (or resummed) in the large-disorder/large-connectivity limit so that the expansion reproduces the correct asymptotic behavior of λ(s)\lambda(s) at s=1/2s=1/2 - the point at which the transition criterion Kλ(1/2)=1K\lambda(1/2)=1 holds - recovering the known critical disorder WcW_c asymptotics (Wc=4Kln⁡KW_c=4K\ln K plus lower-order corrections for box disorder, rather than the forward-approximation value 2eKln⁡K2eK\ln K). The result should give indications on how to properly account for the self-energy corrections - the anti-correlations between consecutive propagators along a path that the forward approximation neglects - in path expansions for the localized phase on treelike and finite-dimensional lattices.

(3) Evaluate analytically the constants cc and κ\kappa appearing in the weak-disorder laws θtyp=ln⁡K+cW2\theta_{\mathrm{typ}}=\ln K+cW^2 (for disorder distributions falling faster than 1/ϵ21/\epsilon^2 at large ϵ\epsilon) and D1=1−κW4+o(W4)D_1=1-\kappa W^4+o(W^4), where κ=c2/(2μ′′(0,0)ln⁡K)\kappa=c^2/(2\mu''(0,0)\ln K), and compare with the existing numerical benchmarks (in particular κ=(5.0±0.6)×10−5\kappa=(5.0\pm0.6)\times10^{-5} for box disorder at K=2K=2).

The three facets are scientifically linked aspects of one objective and are posed jointly. Two broader directions that the source paper also acknowledges - a fully analytic treatment of λ(s)\lambda(s) for general disorder distributions at arbitrary ss together with rigorous control of the saddle-point/large-deviation steps connecting λ(s)\lambda(s) to susceptibility statistics, and the extension of this integral-equation control to interacting many-body localization problems - remain open research directions; progress on them is relevant context but is not by itself an answer to this problem.

References

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