How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Specified finite GNS detailed balance
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Cm Math Fluid
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Conditional Distributions and Regular Conditional Probability
- Conditional Expectation
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Cyclic Groups and Direct Products
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Discrete Time Martingales
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Filters and Ultrafilters
- Finite completely positive trace-preserving maps
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite reversible stochastic rate model and thermal coupling
- Foundations of the Real Numbers for Analysis
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hausdorff via the Diagonal
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Infinite Product Measures and Kolmogorov Extension
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Markov Kernels and Markov Chains
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal density states and spectral moments
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Probability Spaces Random Variables and Expectation
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Splitting Fields
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Galois Correspondence
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The Topology of Euclidean Space
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Uniform Spaces: the Three Definitions
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
This page fixes one finite GNS detailed-balance convention: the Hamiltonian part commutes with the faithful Gibbs state, while the dissipator is self-adjoint in the specified weighted matrix inner product. A scalar dissipative kernel gives an explicit gap, centered correlation integrability, and trace-norm relaxation. Connected Gibbs jump rates supply a concrete finite model; the commuting relative entropy production and monitored-record variance are proved for that model.
The bath state law and energy-resolved instrument are adopted effective assumptions with physical applicability only on the finite resolved interval specified by the postulate. All-time relaxation estimates and long-time coefficients are mathematical consequences of continuing the same finite generator and selected chain; they carry no physical-applicability claim beyond . The instrument specifies one record law; the one-time GKSL semigroup alone does not determine a unique monitoring record. All results are finite-dimensional conditional model statements. No microscopic bath limit, measured rate, or experimental observation is asserted.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Specified finite GNS detailed balance
Definition
Let be finite, let with its standard inner product, and write for its matrices. Let be a Hamiltonian in joules, let have units joule-seconds, and let be an integer with a finite family of jump matrices in seconds. Matrices on which the generators act are dimensionless. The Schrödinger generator is the finite GKSL generator of Finite GKSL generators and units.
Its trace-dual observable generator is
Here , , and is the conjugate transpose. The units of , , and are seconds. The generator preserves the identity, , so .
Let be a dimensionless density matrix on , so . Define
This inner product is linear in its first variable. It is positive definite because . The data satisfy the specified finite GNS detailed-balance convention when and is self-adjoint for this inner product, meaning for all . The Hamiltonian part of is kept separate and is anti-self-adjoint. Quantum detailed-balance conventions vary; in particular, this definition does not identify GNS symmetry with KMS or Kubo–Mori symmetry.
Facts & Assumptions
Given: The finite GKSL data , a faithful density matrix , and the finite trace.
Finite matrix spectral and state calculus: finite Hermitian matrices have basis-independent spectral calculus; a finite density is positive semidefinite with trace one.
Finite matrix trace cyclicity and nondegeneracy: the finite trace cycles rectangular and square matrix products.
Proof
The square root exists by [F2] and is invertible because . Thus for every nonzero . Linearity in the first variable is immediate, and cyclicity [F3] gives Hermitian symmetry; hence the displayed form is a positive-definite inner product.
For the Hamiltonian term, cyclicity in [F3] gives . Indeed, and is already in the desired input-first order.
For each jump matrix, . The first anticommutator term satisfies by cyclicity, and the second is already . Thus the trace-dual dissipator is exactly the displayed . Substituting cancels term by term, so .
Remarks
The cited Alicki–Lendi convention uses the same dissipative self-adjointness condition with the Hamiltonian part separated. Its inner product is written conjugate-linear in the first variable; swapping the two slots and conjugating gives the first-linear convention used here, without changing self-adjointness. Carlen–Maas explicitly distinguish the GNS inner product from the KMS inner product. No equivalence with another detailed-balance convention is assumed.
Faithful scalar-kernel detailed balance gives a relaxation gap
Statement
Let , and let and the faithful density matrix satisfy Specified finite GNS detailed balance, with . Write . If , the restriction has only strictly negative eigenvalues. Define
Then for every and ,
For every density matrix , let , where is the Schrödinger trace-dual generator. Then
Here and . For centered , the correlation is absolutely integrable. Also
For , , , and all centered and relaxation claims are trivial; no is defined. The units of are seconds. These are finite-dimensional conditional model results; they assert no infinite-dimensional bath limit.
Facts & Assumptions
Given: The finite observable generator , faithful density , self-adjoint dissipator , , and .
Specified finite GNS detailed balance: , is self-adjoint for , and with .
Finite GKSL generates CPTP semigroups: the finite Schrödinger semigroup is completely positive and trace-preserving for .
Channel duals and norm closure: the trace-dual of a finite channel is unital and completely positive.
Schwarz and trace-norm channel contraction: a unital completely positive map satisfies the Schwarz inequality; its proof also establishes .
Finite matrix spectral and state calculus: finite self-adjoint endomorphisms have an orthonormal eigenbasis; the finite weighted inner product satisfies Cauchy–Schwarz.
Finite matrix trace cyclicity and nondegeneracy: finite matrix traces are cyclic.
Proof
If , then and the only density matrix is , so all assertions are immediate. For the remainder assume . By [F1], self-adjointness and give . For the Hamiltonian part, cyclicity [F6] and give . Since is the trace dual of , differentiating now shows it is constant. Applying the same calculation with shows . Thus is stationary for both dual semigroups.
Let , the Schrödinger GKSL generator with zero Hamiltonian and the same jump matrices. The finite trace calculation in [F1], [F6] shows its trace dual is . Applying [F2] to and [F3] to its channel semigroup makes unital and completely positive. The Schwarz inequality [F4] and stationarity from step 1.1 give
Differentiating at yields ; self-adjointness in [F1] makes this quantity real.
The subspace is the orthogonal complement of , and [F1] gives . The finite-dimensional spectral theorem [F5] applies to the self-adjoint endomorphism on . Step 2.1 makes all eigenvalues nonpositive; excludes zero on . Because , , so its finite nonempty list of eigenvalues has maximum , and .
By [F6] and , is anti-self-adjoint for . Both and preserve : for this follows from step 1.1, and for from the same trace-cyclicity calculation. For with centered , differentiating gives
Thus is nonincreasing, proving the asserted decay. Cauchy–Schwarz [F5] then bounds each centered correlation by , an integrable function.
The decay in step 4.1 makes converge in the finite-dimensional space . Differentiating and integrating gives . If for centered , then step 4.1 gives , so ; hence is invertible and .
Let be as in step 5.1. Then . The anti-self-adjoint contributes zero real part, while step 3.1 gives . Therefore .
Let , and take any with . Set . Stationarity and trace duality give . By cyclicity [F6], the trace-norm dual formula [F4] applies to this product order. Put . Since , the Hilbert–Schmidt trace inequality yields
The identity gives a bound independent of . Taking the supremum in [F4] proves the stated trace-norm relaxation estimate.
Remarks
The proof uses only finite matrices. In particular, the decay of follows from the dissipator's gap even when and do not commute. The correlation integral is a model coefficient, not a measured transport quantity.
Connected Gibbs jump generators satisfy detailed balance
Statement
Let , let , let be finite energies in joules, and let have units joule. Define
For each , let be a rate in seconds satisfying Gibbs detailed balance , and assume the undirected graph with edge whenever is connected. On , fix an orthonormal energy basis , set , and define for . Fix in joule-seconds. For real functions , define , and define the row-generator action on column observables by . Let
Use the finite GKSL generator with Hamiltonian and the jump matrices . Its observable dissipator is self-adjoint for the -GNS inner product of Specified finite GNS detailed balance, commutes with , and . On diagonal observables, is self-adjoint on with constants as its kernel; for its restriction to has a positive spectral gap . Thus the generator satisfies the specified finite GNS detailed-balance convention and the generic gap conclusion of Faithful scalar-kernel detailed balance gives a relaxation gap applies. This claim does not assert a microscopic bath limit.
Facts & Assumptions
Given: , the energy basis, , , and rates satisfying the finite connected Gibbs detailed-balance hypotheses above.
Specified finite GNS detailed balance: the observable dissipator is ; GNS detailed balance means is self-adjoint for and the Hamiltonian commutes with .
Finite GKSL generates CPTP semigroups: the finite GKSL generator determined by and the finite family generates CPTP maps.
Faithful scalar-kernel detailed balance gives a relaxation gap: if a faithful finite GNS detailed-balance model has , then has a strictly positive gap and its semigroup has the stated exponential relaxation and correlation bounds.
Finite matrix spectral and state calculus: finite Hermitian matrices have an orthonormal eigenbasis and the weighted state form is an inner product when the density is faithful.
Finite matrix trace cyclicity and nondegeneracy: finite traces are cyclic.
Proof
The finite sum is strictly positive, so each and . Hence , , and . The finite GKSL semigroup exists by [F2].
Put . For a diagonal density , , while the anticommutator contributes . Summing entries gives the Schrödinger population equation
For a diagonal observable , direct multiplication gives
so its diagonal action is exactly . For , every gain term vanishes; the anticommutator contributes , and the Hamiltonian commutator contributes . Thus the coherence equation is
For and sums over , the cross terms satisfy after swapping , so . Symmetrizing the quadratic form gives
so is self-adjoint on the diagonal subspace.
For , direct multiplication with diagonal gives unless , and . Also each jump gain is zero when , and the anticommutator with gives . Diagonal and off-diagonal subspaces are orthogonal. Together with the diagonal self-adjointness from step 1.2, these real eigenvalues prove that is self-adjoint on all of .
Connectivity and imply for each , so every off-diagonal matrix unit has a strictly negative -eigenvalue. The Dirichlet identity in step 1.2 vanishes only when along every positive-rate edge; connectedness then forces to be constant. Therefore the diagonal kernel is , the off-diagonal kernel is zero, and . Applying the finite spectral theorem [F4] to the self-adjoint shows its finite list of eigenvalues is strictly negative; their minimum absolute value is .
Steps 1.1, 1.2, 2.1, and 3.1 verify every hypothesis of Specified finite GNS detailed balance and [F3]. Applying [F3] yields the positive gap, exponential relaxation, trace-norm bound, and absolutely integrable centered correlations for this Gibbs jump generator.
Remarks
This is a finite mathematical rate model. Gibbs detailed balance specifies a stationary state and a symmetric generator; it does not derive the rates from a microscopic reservoir or establish that a physical system realizes this model.
Specified energy-jump instrument realizes a finite chain
Definition
Use the finite energy basis, energies , rates , Hamiltonian , and jump matrices of Connected Gibbs jump generators satisfy detailed balance. Define and the no-click matrix . The specified energy-resolved instrument has the following outcomes:
- If the current state is the energy eigenstate , then during a no-click interval of length the unnormalized state is .
- In an infinitesimal interval , the outcome labelled has jump operation and probability . For , its normalized post-click state is . If , this branch is the zero operation and has exactly zero probability; no conditional state is assigned.
- The no-click operation over is . Since and , the no-click and jump effects sum to .
- After each recorded jump, repeat the same rule from the new energy label.
The output path records the current label . This is one selected instrument model; the one-time GKSL semigroup alone does not specify a unique record process.
Facts & Assumptions
Given: The Axiom of Choice, the connected finite Gibbs jump data, the jump operators , and the finite-state chain supplier.
The Axiom of Choice: every family of nonempty sets has a choice function. The full axiom is retained because the supplied chain construction uses Ionescu–Tulcea.
Connected Gibbs jump generators satisfy detailed balance: is finite, the positive-rate graph is connected, , and the energy-resolved jump matrix is .
Finite GKSL generators and units: the Schrödinger generator for Hamiltonian and jumps is .
Nonexplosive finite continuous-time chain and reversible spectral gap: under full AC, the finite connected reversible rates construct a nonexplosive continuous-time Markov chain with waiting rate , destination probabilities , and transition matrix .
Proof
The jump matrices give , so and . Hence , while the sum of jump effects is ; the total effect is as required for a normalized infinitesimal instrument. Also , so . The no-click survival probability is exactly the exponential holding-time law of rate .
For a short interval , the instrument outcome has probability . Summing over gives total jump rate , and conditioning on a jump gives destination probability . For the post-jump normalized state is ; for the jump operation is zero, so that outcome never occurs and is not normalized.
For an arbitrary matrix , the no-click branch contributes , and the jump branches contribute . Since and , their sum is with exactly the generator in [F2]. Thus the selected infinitesimal outcomes have the specified GKSL generator.
The holding-time and destination laws in steps 1.1–1.2 are exactly those of the chain in [F3]. Full AC [A1] and [F3] supply its joint path law and nonexplosion; hence the specified instrument's recorded path is the finite continuous-time chain with generator , not a law inferred from noncommuting one-time correlations.
Remarks
The record path is a mathematical model of a chosen energy-resolved monitoring scheme. Other unravelings of the same GKSL evolution can produce different records; no unique trajectory follows from the one-time channel family.
Gibbs jump commuting relative entropy production
Statement
Use the finite connected Gibbs jump model of Connected Gibbs jump generators satisfy detailed balance. For a diagonal density , the populations satisfy . Define the dimensionless classical relative entropy
where is the natural logarithm. For every , for all , and
Equality in this derivative holds exactly when . For any initial probability vector, including one with zero entries, is continuous at and nonincreasing on . This is a finite commuting-state statement; it asserts no entropy-production theorem for noncommuting densities.
Facts & Assumptions
Given: The finite state set , positive Gibbs weights , connected rates , and the population equation in Connected Gibbs jump generators satisfy detailed balance.
Connected Gibbs jump generators satisfy detailed balance: , the positive-rate graph is connected, and diagonal populations obey .
Proof
The population equation in [F1] is for row probability vectors, so . Let and . Then is a finite stochastic matrix with , and the matrix exponential satisfies
For any initial probability vector, choose with . For every , graph connectivity gives a finite positive-rate path from to ; the corresponding power has . Its coefficient in the series is positive for , so .
For , put and, for , put . Differentiating and using gives
Pairing the and terms yields the displayed symmetric formula. Since is increasing, each .
Equality in step 2.1 forces on every positive-rate edge. Connectedness makes all equal, and then gives , so . Conversely makes every term zero. Finally as , so is continuous at ; applying the derivative inequality on and taking proves nonincrease from any initial probability vector.
Gap-controlled correlation resolvent and positive coefficients
Statement
Assume the finite GNS detailed-balance hypotheses, , and the positive gap of Faithful scalar-kernel detailed balance gives a relaxation gap. For centered , define . Then
so the correlation is absolutely integrable and
For centered , the real coefficient
is nonnegative. Its real polarization on any finite list of Hermitian centered observables is a positive-semidefinite real symmetric correlation-integral matrix. No mixing, central-limit theorem, or infinite-volume transport claim follows.
Facts & Assumptions
Given: The finite observable generator , the faithful state , the centered subspace , and the gap .
Faithful scalar-kernel detailed balance gives a relaxation gap: is invariant, for centered , and .
Specified finite GNS detailed balance: , is self-adjoint for , and is anti-self-adjoint.
Proof
Cauchy–Schwarz in the finite weighted inner product and [F1] give . The right side is integrable on , so the correlation integral converges absolutely.
The integral converges in the finite-dimensional invariant space . Since and the decay in [F1] sends the endpoint to zero, integrating gives . If for centered , then [F1] gives , hence . Thus is invertible and , which proves the resolvent identity.
For from step 1.2, . The term vanishes because is anti-self-adjoint. The remaining term is by [F1]–[F2]. Therefore is a nonnegative real quadratic form on the real vector space of Hermitian centered observables; real polarization gives a positive-semidefinite symmetric matrix.
Fixed-dissipator finite response and integrable kernel
Statement
Let be the finite Schrödinger generator trace-dual to in Specified finite GNS detailed balance, and assume the gap hypotheses of Faithful scalar-kernel detailed balance gives a relaxation gap with . Let , be dimensionless observables, and let be continuous with units joules. For dimensionless , perturb only the Hamiltonian by ; hold the dissipator fixed. Let be the unique state solution with , supplied by Continuous finite GKSL channel propagators.
Define and, for ,
Then, on every finite interval , the derivative at exists and
The kernel is absolutely integrable on . If is the smallest eigenvalue of , then
This is an open-system model response with a fixed dissipator. It does not assert that the driven stationary state is the Gibbs state of .
Facts & Assumptions
Given: The finite GKSL dynamics of , its trace-dual , faithful stationary density , positive gap , Hermitian , continuous field , and initial preparation .
Specified finite GNS detailed balance: is the trace-dual observable generator , with and .
Continuous finite GKSL channel propagators: a continuous finite GKSL family has a unique CPTP propagator on every compact time interval.
Faithful scalar-kernel detailed balance gives a relaxation gap: is stationary, centered observables decay in at least as , and is faithful.
Finite matrix trace cyclicity and nondegeneracy: the finite trace is cyclic.
Proof
Put . The perturbed Schrödinger generator is . Since leaves stationary by [F3], variation of constants gives
The second integral is uniformly on : is bounded, is a bounded linear map on the finite matrix space, , and because [F2] gives a channel propagator. Thus the first derivative exists and equals .
By the generator duality in [F1], the exponential power series gives for every finite matrix . Using [F4] and ,
The scalar part of commutes with , so may be replaced by . Substituting this identity into step 1.1 gives the stated response formula.
Let . The gap theorem gives . If is the smallest eigenvalue of , then
The finite density trace satisfies : diagonalize , write its nonnegative eigenvalues summing to one, and bound each diagonal matrix element of by . Therefore , which proves the exponential bound and absolute integrability.
Remarks
If the bath rates or jump operators depended on the perturbing field, a derivative of the dissipator would appear in step 1.1. It is absent here by the explicit fixed-dissipator hypothesis. The formula is not a universal fluctuation-dissipation theorem and is not an empirical observation.
Specified effective GKSL bath and instrument assumption
For a finite-dimensional subsystem represented by H=C^d (d>=1), the chosen thermal GKSL state law and energy-resolved instrument apply physically only on the declared finite interval [0,t_res], where t_res>0 is in seconds. All-time limits are mathematical continuations of the same fixed generator and instrument, with no physical-applicability claim beyond t_res. No microscopic bath limit, calibrated rate, or reported measurement is asserted.
Postulate
Let be finite and let the modeled subsystem Hilbert space be . A state is a dimensionless matrix such that for every and . An initial preparation is a chosen state . Let have units joules, let have units joule-seconds, and let , finite, have units seconds. We adopt the time-independent finite GKSL generator of Finite GKSL generators and units,
where and . The exact state law is
Here is the finite resolved duration, in seconds, adopted for this model. For mathematical long-time calculations, the same constant generator defines the continuation for every ; this continuation makes no physical-applicability claim for . By Finite GKSL generates CPTP semigroups it is a density-state evolution on that mathematical continuation as well.
Let denote Boltzmann's constant, with SI units joules per kelvin; it converts absolute temperature to an inverse-energy parameter. Let be the adopted absolute temperature parameter in kelvins and set , with units joules. The temperature and rates are model inputs here; no measured calibration is asserted. The temperature parameter alone imposes no detailed-balance condition on an arbitrary choice of . When the generator is specialized to the connected Gibbs-jump model, its energies, , and rates must satisfy the hypotheses in Connected Gibbs jump generators satisfy detailed balance.
Within this effective formulation, the dimension , preparation , general coefficient matrices and , positive constants and , temperature , and resolved duration are primitive, adopted model inputs with the types and units stated above; none is derived here from a microscopic reservoir or inferred from a measurement. This status is local to this formulation, not a claim that each is fundamental in every physical theory. The space , inverse-energy parameter , generator , and state family are derived by their displayed constructions once those inputs and the physical state-law postulate are fixed. The selected Hermitian observable and its unit assignment are additional adopted observable data; its expectation is derived by the trace formula below.
In the connected Gibbs-jump parameterization, the orthonormal energy basis, real level energies in joules, and rates in seconds are instead the adopted primitive spectral and rate data, subject to the Gibbs-balance and connectivity hypotheses of Connected Gibbs jump generators satisfy detailed balance. In that parameterization the operator coefficients are derived as and ; they replace, rather than supplement, the independent general matrix choices above. The Gibbs weights are derived, while the energy-resolved instrument remains a separate adopted assumption. In particular, neither the temperature nor the Gibbs-balance relation derives the numerical rates.
For that Gibbs-jump specialization, record predictions additionally adopt the particular ideal energy-resolved instrument defined in Specified energy-jump instrument realizes a finite chain, and only on as a physical model. For every allowed initial density , define , so . The full label path is initialized by and, conditional on this label, follows the supplier's holding and destination laws. Before the first click this label is an auxiliary variable for the record law, not a claim that the conditional quantum state is an energy eigenstate or that an additional projective measurement has replaced by its diagonal part. More precisely, with the supplier's diagonal no-click matrix , the unnormalized no-click density is and its trace is ; conditional on no click the quantum state is . The first click has time density and, when this density is positive, resets the quantum state to , because . Zero-density branches are not normalized. Thus the no-click survival and every labelled click law agree with the stated initial-label mixture and its subsequent supplier chains, while the no-click quantum state retains any initial coherences. For a diagonal Gibbs preparation, . Its law for all is used only as a mathematical continuation when deriving a long-time coefficient. A one-time channel family alone does not select this record law. Full The Axiom of Choice is retained as the formal set-theoretic premise in the monitored-chain supplier's construction of the joint path law; it is not a physical postulate about nature. A selected observable is represented by a Hermitian matrix with its assigned physical units, and its model expectation has those same units; no measurement outcome is reported.
Remarks
This postulate distinguishes the adopted effective bath model from derived finite-dimensional consequences. It does not provide measured rates or uncertainties from an experiment. If rates later come from a measurement, its apparatus, calibration, sampling conditions, and uncertainty must be stated as empirical premises in a separate appropriately scoped item.
Stationary monitored-chain transport variance coefficient
Statement
Assume the full Axiom of Choice and the connected finite Gibbs jump data of Connected Gibbs jump generators satisfy detailed balance. Use the energy-resolved record path supplied by Specified energy-jump instrument realizes a finite chain, initialized with law . Let be a real velocity observable with units metres per second and . Define the record displacement
where , , and . Then for every ,
If is the reversible spectral gap of on -centered functions, then , and
The units of are square metres per second. This proves a variance coefficient for the selected finite record model; it does not prove a central-limit theorem or a generic quantum transport law.
Facts & Assumptions
Given: Full AC, the finite connected Gibbs jump model, the selected energy-resolved instrument, initial record law , and centered real .
The Axiom of Choice: every family of nonempty sets has a choice function. This full axiom is required by the monitored-chain supplier's Ionescu–Tulcea path construction.
Specified energy-jump instrument realizes a finite chain: the chosen instrument produces a nonexplosive finite continuous-time Markov path with the prescribed rates and transition semigroup.
Connected Gibbs jump generators satisfy detailed balance: is self-adjoint on , has constants as its kernel, and has a strictly positive gap on centered functions.
Dominated convergence: almost-everywhere convergence under one integrable majorant gives convergence of the integrals.
Fubini's theorem for L^1 functions on a sigma-finite product: for two sigma-finite measure spaces and a product-measurable integrand with integrable absolute value, the product integral equals both iterated integrals.
Proof
The path in [F1] has locally piecewise-constant sample paths with finitely many jumps on bounded intervals. For the supplied measurable jump times and labels , the event is the countable union of . Thus is product-measurable and bounded by . On the probability space times with Lebesgue measure, its absolute integral is at most ; both measures are finite, so [F4] makes a measurable bounded random variable and allows its expectation to pass through the time integral. It is stationary when initialized with , since [F2] gives . For , stationarity and the transition semigroup give
For , this is the Markov property; for , the same scalar follows by self-adjointness of . Since is centered, .
On , the product-measurable integrand has absolute value at most , so its absolute product integral is at most . The probability measure and the Lebesgue measures of and are finite and hence sigma-finite. Applying [F4] to exchange expectation with the square integral, and to the two time coordinates, therefore gives
using the covariance identity from step 1.1 and splitting the square into its two triangles.
Expand in an orthonormal eigenbasis of the self-adjoint . Its eigenvalues are at most , so the expansion gives . The finite matrix exponential makes continuous. On , set . For every sequence , pointwise and , an integrable majorant.
Applying [F3] to step 2.2 gives for every , hence the real- limit exists and equals that integral. The same finite spectral expansion gives , so the integral is . Each eigencomponent contributes its squared coefficient divided by a positive gap eigenvalue, proving nonnegativity.
Conditional specified thermal bath relaxation
Conditional predictions for the specified finite connected Gibbs-jump GKSL model, physically applicable only on the postulate's finite interval [0,t_res]. The all-time exponential estimate and qubit formulas are proved for the mathematical continuation of the fixed generator; no physical applicability for t>t_res, measured rates, microscopic bath limit, or universal thermalization law is claimed.
Statement
Assume full AC, the adopted finite effective-bath model Specified effective GKSL bath and instrument assumption on its physical interval , and the connected finite Gibbs-jump hypotheses of Connected Gibbs jump generators satisfy detailed balance. For an initial density , let denote the mathematical all-time continuation of the fixed finite Schrödinger generator, and let . If , the finite detailed-balance gap gives the conditional model prediction for every in that continuation
Under the adopted physical model this bound is applicable only for ; its all-time form is a mathematical consequence of continuing the same fixed generator, not a claim about physical evolution for .
For the two-level specialization, let , joules, , and , . Adopt downward jump with seconds, upward jump with , and optionally a dephasing jump with seconds. Put
For every in the mathematical continuation, the exact model expectations and coherence satisfy
Equivalently, and . For , and relaxation is trivial. These are conditional model deductions, not experimental findings or claims that a physical bath realizes the postulate.
The qubit formulas above are stated for the mathematical continuation; their physical model applicability is limited to .
Facts & Assumptions
Given: Full AC, the adopted effective-bath postulate, finite connected Gibbs rates, , and, for the qubit branch, the stated , jump matrices, and initial density.
The Axiom of Choice: every family of nonempty sets has a choice function. It is retained in the formal supplier chain for the selected monitoring instrument in Specified effective GKSL bath and instrument assumption; the density-decay calculation itself is finite-dimensional.
Specified effective GKSL bath and instrument assumption: the specified subsystem follows the adopted finite GKSL state law and selected Gibbs-jump instrument physically only on ; its continuation for all is mathematical, with no physical-applicability claim beyond , microscopic bath limit, or calibration data asserted.
Connected Gibbs jump generators satisfy detailed balance: connected Gibbs-balanced energy jumps give a faithful stationary Gibbs density and a dissipator with scalar kernel.
Faithful scalar-kernel detailed balance gives a relaxation gap: under [F1], all initial densities satisfy the stated trace-norm exponential relaxation bound.
Proof
The rate relation is exactly for with , . Since , the two-vertex rate graph is connected. The postulate [A2] adopts this finite generator for the selected physical model; [F1] therefore supplies its faithful stationary Gibbs state and scalar dissipative kernel.
Applying [F2] to this finite GNS detailed-balance generator proves the trace-norm estimate for . For there is only one density matrix, so the difference from is zero.
In the qubit basis, direct matrix multiplication gives , , and . The dephasing jump contributes and vanishes on diagonal entries. With , the population equations become .
Solving the scalar linear equations in step 1.3 yields and . The dual observable generator acts as , , and ; exponentiating these two-dimensional and one-dimensional invariant subspaces gives the displayed formulas for .
Remarks
The positive-temperature relation fixes the rate ratio, while the numerical values of , , and remain model inputs. No observation, calibration uncertainty, or empirical agreement is claimed here.
Conditional instrument-record diffusion coefficient
Conditional finite-model prediction for the specified ideal energy-resolved monitoring instrument, Gibbs initial law, and assigned pointer velocities. Physical applicability is limited to the postulate's finite interval [0,t_res]; the T->infinity coefficient is mathematical for the continued finite-rate model. It is not a measured spatial diffusion coefficient or a generic quantum hydrodynamic limit.
Statement
Assume full AC, Specified effective GKSL bath and instrument assumption, and the finite connected Gibbs-jump model with its selected energy-resolved instrument. Prepare the system with diagonal Gibbs law . Assign a real pointer velocity in metres per second to each recorded energy label, with , and define the model record displacement . The postulate's physical applicability is limited to . For formulas at arbitrary and their limit, continue the same finite-rate chain as an idealized mathematical model; this gives no physical-applicability claim for . Thus the displayed formula is a conditional physical-model prediction for and a mathematical model identity for all in the continuation:
where . The limit
exists and has units square metres per second. This long-time limit is a derived coefficient of the idealized mathematical continuation. It is not a measurement of a system's position, a calibrated material coefficient, or evidence that the microscopic bath obeys the effective model.
Facts & Assumptions
Given: Full AC, the effective-bath and monitoring postulate, the finite Gibbs rate model, the stationary initial law , and the specified pointer velocity .
The Axiom of Choice: every family of nonempty sets has a choice function; the exact formal use is the joint path construction inherited from Stationary monitored-chain transport variance coefficient.
Specified effective GKSL bath and instrument assumption: the selected finite GKSL dynamics and energy-resolved instrument are physically adopted only on ; their continuation for all is mathematical and has no physical-applicability claim beyond . No apparatus calibration or measured rate is supplied.
Stationary monitored-chain transport variance coefficient: under full AC and the connected Gibbs-rate hypotheses, the stationary selected record has the stated finite-time variance formula and limit.
Proof
The assumptions [A1]–[A2] identify the selected, ideal energy-resolved instrument and its Gibbs initial law; the velocity labels are stipulated model observables. They introduce no empirical premise.
Applying [F1] with these exact rates, initial law, and centered velocities yields the displayed finite-time variance, resolvent formula, nonnegativity, and limit for the mathematical continuation. Only its finite-time predictions with have the postulate's physical applicability.
Remarks
The stochastic record is the selected instrument output. It is not a continuous position trajectory and does not follow uniquely from the one-time GKSL channel family.
5 · Examples, experiments and counterexamples
None yet.
Sources
- Robert Alicki and Karl Lendi, Quantum Dynamical Semigroups and Applications, Lecture Notes in Physics 717, §§1.2.4 and 1.3.4
- Eric A. Carlen and Jan Maas, Gradient flow and entropy inequalities for quantum Markov semigroups with detailed balance, §2
- Robert Alicki and Karl Lendi, Quantum Dynamical Semigroups and Applications, Lecture Notes in Physics 717, §1.3.4
- Eric A. Carlen and Jan Maas, Gradient flow and entropy inequalities for quantum Markov semigroups with detailed balance, §§2 and 7
- David Aldous and James Allen Fill, Reversible Markov Chains and Random Walks on Graphs, Chapters 2–3
- M. B. Plenio and P. L. Knight, The quantum-jump approach to dissipative dynamics in quantum optics, §IV.1 “Quantum jumps” and §IV.3 “Simulation of single trajectories”, equations 120–133
- David Aldous and James Allen Fill, Reversible Markov Chains and Random Walks on Graphs, Chapter 2 §2.1.2
- Robert Alicki and Karl Lendi, Quantum Dynamical Semigroups and Applications, Lecture Notes in Physics 717, §§1.3.4 and 1.4.2
- Robert Alicki and Karl Lendi, Quantum Dynamical Semigroups and Applications, Lecture Notes in Physics 717, §§1.3.4 and 1.5.3
- M. B. Plenio and P. L. Knight, The quantum-jump approach to dissipative dynamics in quantum optics, §IV.1 “Quantum jumps” and §IV.3 “Simulation of single trajectories”