research35 min studyLesson 558 in Physics

Quantum-critical metal scaling

Test scaling hypotheses near a zero-temperature transition without treating a collapse or linear resistivity as a unique microscopic diagnosis.

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What you’ll understand

  • Relate a tuning distance to correlation length and energy scales.
  • Check an energy-over-temperature scaling collapse with units.
  • Separate a measured scaling regime from claims about a universal metallic mechanism.

A continuous transition at zero temperature can organize a broad region of finite-temperature behavior. In a metal, the associated collective fluctuations interact with a Fermi surface, sometimes weakening the ordinary quasiparticle description. Scaling relations help compare data across temperature and tuning parameters. They are hypotheses with domains and corrections, however, and a successful finite-range data collapse does not by itself identify a unique critical theory or prove that every strange metal is quantum critical.

Identify the scales that vanish at a transition

Let a dimensionless tuning distance measure how far the system lies from a proposed critical point in pressure, composition or field. A correlation length diverges with a critical exponent when a continuous transition is approached. A dynamical exponent relates that spatial length to a characteristic energy or inverse correlation time. Combining the two gives a crossover energy that tends to zero with a product of exponents. The underlying microscopic reference length and energy are essential for dimensional consistency.

Finite temperature introduces its own energy scale through Boltzmann constant. A quantum-critical regime is a range where thermal energy exceeds the tuning-induced crossover scale while remaining below microscopic cutoffs. This does not imply that no other scale exists: disorder, superconductivity, magnetic ordering and lattice effects can cut off the regime. First-order transitions, multiple nearby critical modes or inhomogeneous samples can also invalidate a simple one-parameter picture. Identifying the relevant tuning variable is part of the physical inference.

ξ=ξ0∣r∣−ν,E∗=E0(ξ0ξ)z=E0∣r∣νz,kBT≫E∗\xi=\xi_0|r|^{-\nu},\qquad E_*=E_0\left(\frac{\xi_0}{\xi}\right)^z=E_0|r|^{\nu z},\qquad k_BT\gg E_*
r is a dimensionless distance from a continuous critical point, ν and z are exponents, ξ0 a microscopic length and E0 an energy. The final inequality identifies one necessary crossover condition, not a complete universal metallic regime.↔ Scroll wide equations horizontally.

Compare properly rescaled response functions

A proposed energy-over-temperature scaling form relates spectra measured at different temperatures through a common dimensionless argument and a temperature prefactor. The response amplitude needs a reference energy so its dimensions stay fixed when a noninteger power is used. To test collapse, compare matched values of energy divided by thermal energy and multiply the measured response by the compensating prefactor. Holding absolute energy fixed while temperature changes generally moves to a different point of the scaling function.

Neutron measurements on a specified heavy-fermion alloy near an antiferromagnetic quantum critical composition reported such magnetic spectral scaling over their measured range. That is evidence about that observable, wavevector region and sample, rather than a universal exponent for every metal. Background subtraction, resolution, uncertainty and the tested dynamic range affect the comparison. Competing scaling functions can look similar over a narrow interval, so a useful test includes deviations, parameter stability and independent tuning data instead of displaying only the best collapse.

χ′′(E,T)=χ0(kBTE0)−αΦ(EkBT)\chi^{\prime\prime}(E,T)=\chi_0\left(\frac{k_BT}{E_0}\right)^{-\alpha}\Phi\left(\frac{E}{k_BT}\right)
χ0 has susceptibility units, Φ is dimensionless and α an observable-dependent exponent. E is transferred energy, not angular frequency unless ℏ is included. This is a testable scaling ansatz, not an identity for all quantum-critical metals.↔ Scroll wide equations horizontally.

Keep thermodynamics and transport assumptions separate

For some critical theories obeying ordinary hyperscaling with one dynamical exponent, the singular free-energy density has a simple temperature power involving spatial dimension. Metals with an extended Fermi surface, dangerously irrelevant couplings or hyperscaling violation need not follow that naive power. It is therefore unsafe to infer a universal electronic specific-heat exponent merely from a bosonic scaling slogan. A concrete theory must state which modes contribute and which assumptions justify its thermodynamic scaling.

Linear resistivity is similarly not a direct measurement of a single-particle decay rate. A perfectly translation-invariant system can retain momentum and a dc transport singularity even when quasiparticles decay; momentum relaxation and current overlap must be considered. A phenomenological rate proportional to thermal energy is a useful scale comparison but not a proof of one mechanism. The quadratic-function lab supplies a Fermi-liquid reference power law only; it does not generate quantum-critical spectra, momentum relaxation or a metal's resistivity.

fsingular∝T(d+z)/zonly under ordinary hyperscaling,ρ(T)−ρ0∝T2as a regular Fermi-liquid referencef_{\rm singular}\propto T^{(d+z)/z}\quad\text{only under ordinary hyperscaling},\qquad \rho(T)-\rho_0\propto T^2\quad\text{as a regular Fermi-liquid reference}
The proportionalities contain dimensional coefficients. The first is conditional and often modified in metallic critical theories; the second is a common transport regime with appropriate momentum relaxation, not a definition covering every Fermi liquid.↔ Scroll wide equations horizontally.

Match the same scaling coordinate

Use the displayed response ansatz with α=3/4\alpha=3/4. Compare a measurement at T1=10 KT_1=10\,\mathrm K, E1=1.0 meVE_1=1.0\,\mathrm{meV} with one at T2=20 KT_2=20\,\mathrm K. What E2 keeps the scaling argument fixed, and what response ratio follows? Use kB=0.0862 meV/Kk_B=0.0862\,\mathrm{meV/K}.

  1. The first dimensionless argument is E1/(kBT1)=1.0/0.862≈1.16E_1/(k_BT_1)=1.0/0.862\approx1.16. Matching it at twice the temperature requires twice the energy, E2=2.0 meVE_2=2.0\,\mathrm{meV}.

  2. At matched argument the same value of Φ cancels from the response ratio. Only the temperature prefactor remains: χ2′′/χ1′′=(20/10)−3/4\chi_2^{\prime\prime}/\chi_1^{\prime\prime}=(20/10)^{-3/4}.

  3. The ratio is 2−3/4≈0.5952^{-3/4}\approx0.595. Equivalently, multiplying each response by its temperature to the three-quarter power, with the same dimensional reference factors, should give equal scaled values if the ansatz holds.

The result

Use E2 = 2.0 meV; the unscaled response is predicted to be 0.595 times the first response at the matched dimensionless coordinate.

Explore the model

Interactive lab

Interactive lab · function

A quadratic baseline for a transport comparison

Reset and set BOTH Coefficient a = 1 and Position x = 0.50; predict y = 0.25. Reset and set a = 1 and x = 1; predict y = 1, a factor of four. Interpret x only as a dimensionless temperature reference for a quadratic law. The instrument plots y = ax² and does not switch to linear resistivity, model a Fermi surface, generate critical fluctuations or compute transport.

A quadratic baseline for a transport comparisonThis lab uses only y = ax². Playback traces the curve within the fixed integration interval from 0 to x; it does not estimate numerical error or change the chosen point. Current readings: y at chosen x: 0.608; Tangent slope · 2ax: 1.35; Signed area · ax³/3: 0.182. All parameters are adjustable with the labeled controls below.−2.4−1.201.22.4−9−4.504.59xy(x, ax²)
y = ax²TangentSigned integral
y at chosen x
0.608
Tangent slope · 2ax
1.35
Signed area · ax³/3
0.182
t = 0 s

This lab uses only y = ax². Playback traces the curve within the fixed integration interval from 0 to x; it does not estimate numerical error or change the chosen point. Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.

Look forDistinguishing a measured power law requires range and assumptions beyond a reference curve.

Check your understanding

What does matching E/(kBT) across two spectra accomplish in the displayed scaling test?

Try it yourself

Assume ν=1/2\nu=1/2, z=2z=2 and E0=10 meVE_0=10\,\mathrm{meV}. Compare tuning distances ∣r∣=0.01|r|=0.01 and 0.040.04. Find their correlation-length ratio and crossover energies, and state which is closer to a thermal critical regime at the same temperature.

Take a moment to make a prediction or work it out on paper. Open a hint when you need one.

Give me a hint

The length varies as the inverse square root of distance, while νz equals one for the supplied exponents.

Compare with the solution

The closer point has ξ(0.01)/ξ(0.04)=(0.01/0.04)−1/2=2\xi(0.01)/\xi(0.04)=(0.01/0.04)^{-1/2}=2. The crossover energies are 10(0.01)=0.10 meV10(0.01)=0.10\,\mathrm{meV} and 10(0.04)=0.40 meV10(0.04)=0.40\,\mathrm{meV}. At the same temperature, thermal energy more readily exceeds the smaller crossover scale at the closer point. This comparison tests the supplied scaling hypothesis; it does not prove a continuous transition, fix other cutoffs or establish that a particular experimental resistivity must be linear.

Take it with you

  • Critical scaling requires explicit tuning, reference scales and a measured regime.
  • Matched dimensionless coordinates and compensating amplitudes are both needed for collapse.
  • Thermodynamic hyperscaling and transport exponents require additional metallic assumptions.

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