Papers
Topics
Authors
Recent
Search
2000 character limit reached

Exponential Wormhole Length Operator

Updated 9 November 2025
  • The paper’s main contribution is the formulation of an operator that connects wormhole length in JT gravity to the spread complexity of quantum information in the DSSYK framework.
  • It employs a Krylov basis and Lanczos process to precisely define and extend the wormhole length operator in both infinite and finite-dimensional Hilbert spaces.
  • The analysis reveals universal dynamical features, including exponential growth, ramp, and plateau phenomena, with influences from random matrix theory and orthogonal polynomial identities.

The Exponential Wormhole Length Operator, also referred to as the chord-number operator or the spread-complexity operator, is a quantum mechanical observable that equates the geometric size of Einstein-Rosen bridges in Jackiw-Teitelboim (JT) gravity to the spreading of quantum information in its dual description via double-scaled Sachdev-Ye-Kitaev (DSSYK) theory. The operator acts as a “position” operator along the Krylov chain generated by repeated applications of the system Hamiltonian on a thermofield double (TFD) state. Its non-perturbative extension enables exact analysis across the full finite-dimensional Hilbert space, elucidating dynamics such as exponential growth, ramp and plateau phenomena, and universality across random-matrix classes (Balasubramanian et al., 2024).

1. Definition and Construction of the Length Operator

The wormhole length operator is defined in terms of the Krylov basis, which is constructed via the Lanczos or Gram–Schmidt process iteratively applied to the set {Hn0}\{H^n |0\rangle\}, where 0ψβ|0\rangle \equiv |\psi_\beta\rangle is the initial (possibly infinite-temperature) TFD state. Explicitly, the Krylov chain is

K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.

In the Krylov basis, the system Hamiltonian HH reduces to a tridiagonal (Hessenberg) form: (HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}), with real coefficients ana_n, bnb_n.

The wormhole length (chord-number) operator is

L^=n=0LnKnKn\hat{L} = \sum_{n=0}^{L} n |K_n\rangle \langle K_n|

where LL is the length of the Krylov chain, bounded in the finite-NN system. Its expectation value in an arbitrary state 0ψβ|0\rangle \equiv |\psi_\beta\rangle0 measures the spread complexity,

0ψβ|0\rangle \equiv |\psi_\beta\rangle1

In the strict double-scaling or DSSYK limit (0ψβ|0\rangle \equiv |\psi_\beta\rangle2), the Krylov chain becomes infinite, and the tridiagonal coefficients are 0ψβ|0\rangle \equiv |\psi_\beta\rangle3, 0ψβ|0\rangle \equiv |\psi_\beta\rangle4, where 0ψβ|0\rangle \equiv |\psi_\beta\rangle5, 0ψβ|0\rangle \equiv |\psi_\beta\rangle6. The infinite-chain transfer matrix 0ψβ|0\rangle \equiv |\psi_\beta\rangle7 coincides with the chord diagram solution, with 0ψβ|0\rangle \equiv |\psi_\beta\rangle8 exhibiting the same bandwidth structure as 0ψβ|0\rangle \equiv |\psi_\beta\rangle9, and K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.0 takes the form K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.1.

2. Non-Perturbative Finite-Dimensional Extension

The operator’s non-perturbative characterization involves extending the definition to finite-dimensional Hilbert spaces—specifically, the SYK model with Hilbert space dimension K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.2. For sub-exponential Krylov index K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.3, the DSSYK form for the Lanczos coefficients (K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.4) remains accurate. For K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.5, corrections derived from integral or saddle-point equations become dominant, and K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.6 “descends” rapidly to zero as K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.7, reflecting the finite support of the spectrum.

For large Hilbert space dimension K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.8, the coarse-grained variables K0=0,K1H00H00,...Kn.|K_0\rangle = |0\rangle, \quad |K_1\rangle \propto H|0\rangle - \langle 0|H|0\rangle|0\rangle, \quad ... \quad |K_n\rangle.9 are employed, and the density of states HH0 must satisfy the integral constraint: HH1 This is equivalent to a pair of saddle-point equations involving the random-matrix potential HH2 for HH3. This formalism allows identification of the bulk Krylov spectrum, yielding the non-perturbative extension of the length operator on the full chain: HH4 with HH5 set by the bulk HH6.

3. Time Evolution and Dynamical Behavior

The time-dependent expectation value HH7 quantifies the growth and saturation of spread complexity, and hence the wormhole length, in the TFD state under time evolution. The analysis leverages the connection to spectral quantities: the survival amplitude HH8 and the spectral form factor HH9, with the Lanczos coefficients being direct functionals of the time-evolved moments (HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}),0.

Dynamically, (HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}),1 displays three principal regimes:

  • Early times ((HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}),2): Linear growth, (HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}),3, with velocity (HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}),4 for DSSYK at infinite temperature.
  • Intermediate times: Emergence of a “ramp” (semi-linear intermediate growth), and “peak-overshoot” (local maximum), governed by random-matrix coherence effects.
  • Late, exponential times ((HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}),5): Downward slope (“white-hole shrinking”) followed by saturation to a plateau.

At low temperature, the late-time plateau (saturated wormhole length) is determined by a stationary distribution,

(HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}),6

where (HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}),7 correspond to spectral band-edges, and (HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}),8 can be obtained from the associated integral formula. The plateau value is numerically (HK)mn=KmHKn=anδmn+bn(δm,n+1+δm+1,n),(H_K)_{mn} = \langle K_m|H|K_n \rangle = a_n \delta_{mn} + b_n (\delta_{m,n+1} + \delta_{m+1,n}),9 but parametrically has polynomial-in-ana_n0 corrections.

4. Influence of Random Matrix Universality

The dynamics toward, and the structure of, the late-time saturation of ana_n1 and related observables depend on the random-matrix universality class of the SYK model or its generalizations. In particular:

  • The Dyson ana_n2-index (GOE, GUE, GSE) strongly affects the approach to the plateau: increasing ana_n3 implies stronger level repulsion, producing a more pronounced post-ramp slope.
  • The plateau height is ana_n4-independent to leading order, with late-time fine structure only mildly sensitive to the Altland–Zirnbauer ana_n5-index (extra ana_n6 factors in the joint PDF).
  • Numerical analysis (see Figs. 8–9 in the source) confirms qualitative consistency across all seven AZ classes sharing the DSSYK density of states ana_n7.

A plausible implication is that certain universal features of wormhole length saturation are robust across a broad family of random Hamiltonians, while intermediate-time details depend sensitively on the underlying symmetry class.

5. Orthogonal Polynomial Identities and Operator Algebra

The underlying structure of the Krylov chain and the spectral properties are governed by orthogonal polynomials and associated identities:

  • Scaled Chebyshev polynomials ana_n8, defined recursively by ana_n9, bnb_n0, bnb_n1, with bnb_n2.
  • Polynomials bnb_n3 entering the random-matrix potential construction, satisfying the same three-term recursion as Chebyshev polynomials.
  • The exact DSSYK density of states bnb_n4 can be written via the Jacobi bnb_n5-function:

bnb_n6

and expanded in a Fourier–Chebyshev sum.

  • The generating function for ensemble-averaged moments bnb_n7 is given in terms of sums over chord diagrams weighted by bnb_n8:

bnb_n9

with an explicit combinatorial expression.

For finite L^=n=0LnKnKn\hat{L} = \sum_{n=0}^{L} n |K_n\rangle \langle K_n|0, the prescription is to generate a large Hermitian matrix of the desired universality class, stretch its spectrum to match L^=n=0LnKnKn\hat{L} = \sum_{n=0}^{L} n |K_n\rangle \langle K_n|1, use the Lanczos process to produce tridiagonal L^=n=0LnKnKn\hat{L} = \sum_{n=0}^{L} n |K_n\rangle \langle K_n|2, and read off the sequence L^=n=0LnKnKn\hat{L} = \sum_{n=0}^{L} n |K_n\rangle \langle K_n|3 for operator construction.

6. Physical and Conceptual Significance

The exponential wormhole length operator provides a direct quantitative bridge between quantum gravitational observables in JT gravity (wormhole length) and operator-theoretic notions of quantum information spreading (spread complexity) in DSSYK and its generalizations. Its non-perturbative formulation enables precise tracking of black hole interior growth and saturation, revealing regimes reminiscent of "white hole" physics—where the wormhole shrinks from maximum size onto a finite plateau at late times.

The operator encapsulates and formalizes proposals equating wormhole geometric size with quantum mechanical spread complexity, thus unifying geometric growth and quantum complexity in a precise operator-theoretic framework. Its behavior elucidates late-time quantum gravity phenomena—such as information "leakage" or evaporation signaled by plateauing length—which remain central to ongoing research in holography and quantum chaos.

A plausible implication is that investigation of further extensions beyond the strictly 1D chain, as well as systematic study of higher-dimensional generalizations and various symmetry classes, may reveal even deeper connections between complexity, geometry, and universality in quantum gravity models.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (1)

Topic to Video (Beta)

No one has generated a video about this topic yet.

Whiteboard

No one has generated a whiteboard explanation for this topic yet.

Follow Topic

Get notified by email when new papers are published related to Exponential Wormhole Length Operator.