Modular Analyticity and Chaos Bounds
Complex modular time can bound the growth of a normalized correlator, but only after one proves both an analytic strip and a uniform norm bound in that strip. The resulting rate is dimensionless and belongs to modular flow. It becomes a physical Lyapunov bound only when an independent theorem identifies modular time with physical time and the correlator satisfies the dynamical assumptions used in a chaos diagnostic.
Required background. Modular KMS correlators fix the modular-flow sign, operator order, KMS boundary relation, and analytic domains used here.
Helpful background. Modular spectral measures explain why a finite-mode modular correlator is quasiperiodic and how continuum frequency support changes that conclusion.
The chapter’s differentiable-family map identifies modular-time response as one branch of the problem, while its independent validity gates keep strip analyticity, normalization, regulator control, and physical interpretation separate. Passing the analytic gate does not pass the others.
The strip-to-disk statement
Section titled “The strip-to-disk statement”Let be analytic on the symmetric strip
and suppose throughout , with the same bound on controlled boundary limits. The conformal map sends to the unit disk. Schwarz–Pick then gives, for real ,
This is the full-strip version of the complex-analysis step used in the thermal chaos argument Maldacena, Shenker, and Stanford 2016, §4.1, eqs. (17)–(18). Their physical problem is a half-strip and therefore also has a vertical boundary and a transient correction; the constant is approached after a few thermal times rather than asserted at the boundary of the half-strip.
If, uniformly in a complex neighborhood of a real interval (so the differentiated remainder is controlled),
then for increasing ,
The numerical rate comes entirely from the proven half-width . Analyticity alone is insufficient: an analytic function that leaves the unit disk can have an arbitrarily large fitted exponent.
Thermal time is a special conversion
Section titled “Thermal time is a special conversion”Use the modular convention
For and the Heisenberg convention ,
Thus a dimensionless modular rate converts to the magnitude ; the minus sign reverses the flow orientation, not the positive growth rate. For the quarter-density ordering , the centered OTOC strip has , so the conditional modular number becomes .
The physical result needs much more than KMS periodicity. The thermal proof normalizes by a disconnected correlator plus a controlled factorization error, establishes bounds on all boundaries of a half-strip, and assumes a window after dissipation but before scrambling Maldacena, Shenker, and Stanford 2016, §4.2, eqs. (19)–(26). A generic subregion modular flow has no universal conversion to laboratory time and no spatial metric from which to infer a butterfly velocity.
Exactly solvable regulated modular OTOC
Section titled “Exactly solvable regulated modular OTOC”Consider one fermionic wave-packet mode, so its occupation algebra is , with faithful Gaussian state
and bounded Majorana insertion . Put and
With , direct matrix multiplication gives
This finite regulated answer is entire and quasiperiodic on the real modular axis; it has no positive late-time Lyapunov regime. To verify the strip theorem rather than merely inspect the real line, normalize it as
Because , for . This proves the boundary norm instead of assuming it.
For , , and , the check is fully numerical:
| Quantity | Exact expression | Value |
|---|---|---|
| Strip normalization | ||
| Measured | ||
| Schwarz–Pick cap | ||
| Cap minus measured derivative | — |
The stated domain is the whole matrix algebra, faithfulness is controlled by , the observable norm is one, and the analytic target has no truncation error. This verifies a modular strip inequality in a Gaussian mode; it does not demonstrate physical chaos.
Adversarial edge-bound failure
Section titled “Adversarial edge-bound failure”Take the same half-width and the analytic trial function
On , its real values lie between and , and an exact fit of returns the apparently clean rate . Yet on the upper strip edge, with ,
The unit-disk hypothesis fails precisely where a real-axis fit cannot see it. Schwarz–Pick therefore licenses no growth bound for this trial function. This adversarial example also shows why dividing by a convenient real-axis value is not a substitute for proving a boundary norm.
Modular growth is not automatically chaos
Section titled “Modular growth is not automatically chaos”An component can be meaningful as a modular-response mode when its operator domain, zero-mode quotient, strip, and norm control have all been supplied. In holographic examples it can additionally encode bulk causal structure de Boer and Lamprou 2020, §§2–5. Neither fact promotes a generic modular slope to a many-body Lyapunov exponent.
A physical chaos claim must identify the physical observable, a parametric factorization error, a dissipation-to-scrambling window, the conversion between and , and a regulator limit that preserves the strip. A butterfly velocity needs an additional notion of spatial support and a locality estimate. The comparison of information geometries is also a reminder that an analytic response coefficient is not automatically a Fisher or fidelity susceptibility.
Common pitfalls
Section titled “Common pitfalls”Checking only the real axis. Real boundedness does not imply a strip-to-disk map. Test both horizontal edges and every additional boundary of a half-strip.
Calling a physical exponent without units. It is a dimensionless modular number for . A physical exponent needs a justified time conversion.
Inferring propagation from analyticity. A complex strip contains no distance, causal cone, or Lieb–Robinson input, so it cannot determine a butterfly velocity.
Exercises
Section titled “Exercises”1. Derive the strip derivative bound
Section titled “1. Derive the strip derivative bound”For , show that
on the real axis, and use Schwarz–Pick to obtain the bound for .
Solution
Write . Since and ,
Their ratio is . The map sends the disk to itself. Schwarz–Pick says
Using and evaluating at real gives .
2. Compute the Gaussian-mode correlator
Section titled “2. Compute the Gaussian-mode correlator”Derive from the matrices above and explain why no late-time exponential can be extracted from the exact real-axis answer.
Solution
Let . Then
Therefore
Squaring and taking the trace gives . For real , this is bounded and periodic when , while it is constant when . Neither case has an asymptotic interval with positive exponential growth.
3. Test an unlicensed exponent above 2π
Section titled “3. Test an unlicensed exponent above 2π”For , find a condition on that makes for every real . Apply it to and . What, if anything, can the fitted exponent establish?
Solution
With ,
If , the right side is strictly larger than one. For , this condition holds. The fitted rate is an algebraic property of the chosen real-axis function, but the strip theorem is inapplicable; it establishes neither a modular growth bound nor physical chaos. If a thermal identification were separately valid, only a licensed modular rate would convert by .
References
Section titled “References”Original QFT.org content:CC BY 4.0, unless an item supplies different terms. Third-party material retains its own terms.