L-9

Eigenstates

Without disorder, the eigenstates are delocalized plane waves.

In the presence of disorder, three scenarios can arise:

• Delocalized eigenstates, where the wavefunction remains extended over the whole system.
• Localized eigenstates, where the wavefunction is exponentially confined to a finite region.
• Multifractal eigenstates, occurring at the mobility edge of the Anderson transition, where the wavefunction exhibits a complex, scale–dependent structure.

In three dimensions, increasing the disorder strength leads to a transition between a metallic phase with delocalized eigenstates and an insulating phase with localized eigenstates. The critical energy separating these two regimes is called the mobility edge. Eigenstates at the mobility edge display multifractal statistics.

To characterize these different regimes it is useful to introduce the inverse participation ratio (IPR)

$$\mathrm{I}\mathrm{P}\mathrm{R}(q)=\sum _n|{\psi }_n{|}^{2q}.$$

For a system of linear size $L$, one typically observes a scaling

$$\mathrm{I}\mathrm{P}\mathrm{R}(q)\sim L^{-{\tau }_q}.$$

The exponent ${\tau }_q$ characterizes the spatial structure of the eigenstate.

Delocalized eigenstates

In a delocalized state the probability is spread uniformly over the system:

$$|{\psi }_n{|}^2\approx L^{-d}.$$

Therefore

$$\mathrm{I}\mathrm{P}\mathrm{R}(q)=\sum _n|{\psi }_n{|}^{2q}\sim L^d(L^{-d}{)}^q=L^{d(1-q)}.$$

Thus

$${\tau }_q=d(1-q).$$

Localized eigenstates

In a localized state the wavefunction is concentrated within a region of size ${\xi }_{\text{loc}}$.

Roughly

$$|{\psi }_n{|}^2\sim {\xi }_{\text{loc}}^{-d}$$

on ${\xi }_{\text{loc}}^d$ sites and negligible elsewhere. Hence

$$\mathrm{I}\mathrm{P}\mathrm{R}(q)\sim \text{const},{\tau }_q=0.$$

Thus localized states do not scale with system size.

Multifractal eigenstates

At the mobility edge the eigenstates are neither extended nor localized. Instead, the amplitudes fluctuate strongly across the system.

The scaling of the IPR is characterized by a nonlinear function

$${\tau }_q.$$

The corresponding multifractal dimensions are defined as

$$D_q=\frac{{\tau }_q}{q-1}.$$

It is useful to contrast fractal and multifractal scaling.

• In a fractal object, a single exponent describes the scaling of the measure. For instance, if a probability measure is uniformly distributed on a fractal set of dimension $D$, one has

$$\mathrm{I}\mathrm{P}\mathrm{R}(q)\sim L^{-D(q-1)}.$$ All moments are controlled by the same dimension $D$.

• In a multifractal object, different regions of the system scale with different exponents.

In this case there is no single fractal dimension: different moments probe different effective dimensions of the wavefunction.

Multifractal spectrum

To describe this structure it is useful to introduce the multifractal spectrum $f(\alpha )$.

We assume that the wavefunction amplitudes scale as

$$|{\psi }_n{|}^2\sim L^{-\alpha }$$

on approximately

$$L^{f(\alpha )}$$

sites.

The function $f(\alpha )$ describes the fractal dimension of the set of sites where the wavefunction has exponent $\alpha$.

Using this representation,

$$\mathrm{I}\mathrm{P}\mathrm{R}(q)=\sum _n|{\psi }_n{|}^{2q}\sim \int d\alpha L^{-\alpha q}{L}^{f(\alpha )}.$$

For large $L$, the integral is dominated by the saddle point, giving

$$\tau (q)=\underset{\alpha }{\min }(\alpha q-f(\alpha )).$$

Thus $\tau (q)$ and $f(\alpha )$ are related by a Legendre transform.

If ${\alpha }^{*}(q)$ satisfies

$$f^{\prime }({\alpha }^{*}(q))=q,$$

then

$$\tau (q)={\alpha }^{*}(q)q-f({\alpha }^{*}(q)).$$

Multifractal wavefunctions exhibit a smooth spectrum with maximum

$$f({\alpha }_0)=d,$$

indicating that the wavefunction explores the entire system but with strong spatial fluctuations.

Larkin model

In your homework you solved a toy model for the interface: $${\partial }_{t}h(r,t)={\mathrm{\nabla }}^{2}h(r,t)+F(r).$$ For simplicity, we assume Gaussian disorder $\overline{F(r)}=0$, $\overline{F(r)F(r^{\prime })}={\sigma }^2{\delta }^d(r-r^{\prime })$.

You proved that:

• the roughness exponent of this model is ${\zeta }_L=\frac{4-d}{2}$ below dimension 4
• the force per unit length acting on the center of the interface is $f=\sigma /\sqrt{L^d}$
• at long times the interface shape is

$$\overline{h(q)h(-q)}=\frac{{\sigma }^2}{q^{d+2{\zeta }_L}}.$$

In the real depinning model the disorder is, however, a non-linear function of $h$. The idea of Larkin is that this linearization is correct up to $r_f$, the correlation length of the disorder along the $h$ direction. This defines a Larkin length.

Indeed, from $$\overline{(h(r)-h(0){)}^2}=\int d^{d}q\overline{h(q)h(-q)}(1-\cos (qr))\sim {\sigma }^2{r}^{2{\zeta }_L},$$ you get $$\overline{(h({\ell }_L)-h(0){)}^2}=r_f^2,{\ell }_L={\left(\frac{r_f}{\sigma }\right)}^{1/{\zeta }_L}.$$

Above this scale, roughness changes and pinning starts with a critical force $$f_c=\frac{\sigma }{{\ell }_L^{d/(2{\zeta }_L)}}.$$

In $d=1$ we have ${\ell }_L={\left(\frac{r_f}{\sigma }\right)}^{2/3}$.