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Conserved overlaps bound the finite persistent current correlation

Statement

Take the finite-chain data of the current definition on HL and identify H:=HL. Let H=H∗ have energy unit joules, let ℏ>0 have unit joule-seconds, and let ρ be a positive-definite trace-one matrix satisfying [ρ,H]=0. Define ω(A):=Tr⁡(ρA) and αt(A):=eiHt/ℏAe−iHt/ℏ. Let JL be the total lattice current of the finite-volume current definition and center it with respect to this same ρ, setting J:=JL−ω(JL)I. With no identification of H and HL, the estimate below is an abstract bound for this observable under αt. Its lattice-transport specialization further takes H=HL; then the Gibbs density ρβ,L in that definition is stationary and is an admissible choice of ρ. More generally, ρβ,L can be used with another H exactly when it also satisfies [ρβ,L,H]=0. Then J=J∗, as established by the local continuity result. For m≥1, let Q1,…,Qm be linearly independent conserved matrices, [H,Qa]=0. Put Gab:=Tr⁡(ρQa∗Qb),va:=Tr⁡(ρQa∗J). Then G is positive definite, the finite Cesàro limit exists, and lim⁡T→∞1T∫0TRe⁡ ω ⁣(αt(J)J) dt  ≥  v∗G−1v  ≥0. This is a finite-dimensional persistent-correlation bound. It does not identify a thermodynamic Drude weight or assert that either volume/time order of limits exists.

Facts & Assumptions

Given: The finite-dimensional Hilbert space, self-adjoint H, positive-definite stationary density ρ, centered self-adjoint current J, conserved matrices Qa, and ℏ>0 in the Statement.

[A1]

Faithfulness and stationarity: ρ>0, Tr⁡ρ=1, and [ρ,H]=0.

[F1]

Local charge current and finite-volume correlation conventions: the lattice total current is JL=∑(j,j+1)jj,j+1, with jj,j+1=(i/ℏ)[hj,j+1,qj+1]; the same definition specifies the connected finite-volume correlation convention.

[F2]

Continuity equation for a local lattice charge current: each such bond current is self-adjoint and obeys the local continuity equation under the stated bond-locality and charge-conservation hypotheses.

[F3]

Finite Cesaro dephasing with degenerate energy blocks: for finite-dimensional unitary evolution generated by self-adjoint H, Cesàro averages of every density matrix converge in trace norm to its equal-energy block-diagonal part ∑EPEρPE; blocks inside degenerate eigenspaces remain.

[F4]

Finite matrix spectral and state calculus: finite Hermitian matrices have orthogonal spectral projections, and the finite trace is cyclic.

Proof

technique · orthogonal projection onto the conserved subspace

Given: [A1], [F1]–[F4], a centered self-adjoint J, and linearly independent Qa with [H,Qa]=0.

1.1givenF1F2algebra

The lattice-current definition fixes JL=∑jjj,j+1, and the local-current lemma gives JL=JL∗. Subtracting its real mean ω(JL) preserves self-adjointness, so J is a matrix observable in B(H).

1.2givenA1F4algebra

On B(H) define (A,B)ρ:=Tr⁡(ρA∗B), linear in its second argument. It is positive definite: if (A,A)ρ=0, then ρ≥cI for some c>0 in finite dimension, so 0=Tr⁡(ρA∗A)≥cTr⁡(A∗A) and hence A=0. The invariance [ρ,H]=0 gives (αt(A),αt(B))ρ=(A,B)ρ by cyclicity of the finite trace, so αt is unitary on this finite-dimensional Hilbert space of matrices.

2.1givenA1F3F4step 1.1algebra

Write H=∑EEPE over its distinct eigenvalues. Then αt(J)=∑E,Feit(E−F)/ℏPEJPF. For E≠F, ∣1T∫0Teit(E−F)/ℏ dt∣≤2ℏT∣E−F∣⟶0, while for E=F the coefficient is 1. The sum is finite, so MTJ:=T−1∫0Tαt(J) dt converges in matrix norm to PJ:=∑EPEJPE. This block map is the orthogonal projection onto N:={A:[H,A]=0} in (⋅,⋅)ρ: PJ∈N, and each off-diagonal block of J−PJ has zero weighted trace pairing with a block-diagonal matrix because ρ is block diagonal. It is the same energy-block projection as the density-matrix dephasing in [F3]; [F3] states the density-matrix version, while the explicit finite expansion here proves the observable version used.

3.1step 1.2step 2.1algebra

Since J=J∗, (αt(J),J)ρ=ω(αt(J)J). Norm convergence in step 2.1 therefore gives lim⁡T→∞1T∫0TRe⁡ ω(αt(J)J) dt=Re⁡(PJ,J)ρ=∥PJ∥ρ2, because J−PJ is orthogonal to N and PJ∈N.

4.1givenstep 1.1step 1.2step 3.1algebra∎

Set S:=span⁡{Q1,…,Qm}⊆N, and let PS be its orthogonal projection. Then PSJ=PSPJ, so ∥PJ∥ρ2≥∥PSJ∥ρ2. The Gram matrix G is positive definite by linear independence and the positive-definite inner product. Writing PSJ=∑acaQa, orthogonality gives Gc=v, so c=G−1v and ∥PSJ∥ρ2=c∗Gc=v∗G−1v. Together with step 3.1 this proves the bound.

Geometry

The drawing depicts orthogonal projections in a three-dimensional sketch: the line S lies in the conserved subspace N, PSJ is the projection onto S, and PNJ is the projection onto the full conserved subspace. The dashed segments represent orthogonal residuals. The proof uses the Hilbert-space projection and Gram calculation above, not the sketch.

SNPSJPNJJJ¡PNJPNJ¡PSJ

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