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Specified finite GNS detailed balance — Examples
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
- Specified finite GNS detailed balance
- 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
These examples solve the specified finite Gibbs-jump model for a thermal qubit and for its selected energy-resolved record. The first gives exact finite correlation and response coefficients, including the difference between a fixed-dissipator open response and a static Gibbs derivative. The second computes the record displacement variance. The record is a model output of the chosen instrument, not a measured position or a reported experiment.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
Solved Gibbs qubit relaxation and finite response coefficients
Example
Let , with joules, , , and . Take downward rate , upward rate , , and optional dephasing rate . Here is in joules, is in joule-seconds, and are in seconds. Use the finite GKSL generator of Specified finite GNS detailed balance with Hamiltonian and exactly the jumps , , and . Thus the additional dephasing dissipator, on either states or observables, is ; when this jump is zero. Let , , , and . Set . Define the centered correlations
Then
The real correlation-integral coefficients are
Under the fixed-dissipator perturbation , define . The open response kernel and its zero-frequency integral are
For measured in joules, define and . The static Gibbs susceptibility for this family is
Thus and differ for positive ; the model has a fixed dissipator, so its zero-frequency response is not the derivative of the instantaneous Gibbs preparation.
Facts & Assumptions
Given: , , , , , Pauli matrices , and the three explicitly specified GKSL jumps.
Connected Gibbs jump generators satisfy detailed balance: the Gibbs density is stationary, the energy-jump dissipator is GNS self-adjoint, and its connected rate graph has scalar kernel.
Gap-controlled correlation resolvent and positive coefficients: centered correlations have an integrable resolvent and nonnegative real quadratic coefficients.
Fixed-dissipator finite response and integrable kernel: for a perturbation of the Hamiltonian with the dissipator held fixed, the causal response kernel is .
Duhamel derivative and finite Kubo–Mori response: for finite Hermitian , differentiation of gives the exact Kubo–Mori static susceptibility; no commutation of and is assumed.
Specified finite GNS detailed balance: is the finite trace-dual observable generator with the stated Hamiltonian, jump matrices, and -weighted inner product.
Verification
Since commutes with and , the map is self-adjoint in the -weighted inner product and is an involution. Hence is self-adjoint and nonpositive, annihilates diagonal matrices, and sends to . Adding it to the Gibbs-jump dissipator preserves stationarity and the scalar kernel: the sum of its two nonpositive quadratic forms can vanish only in the scalar kernel of the Gibbs-jump part. Thus [F2] and [F3] apply to this full generator. The two-state population equation is , while the off-diagonal equation is , by direct multiplication of the two jump matrices and the dephaser. The dual observables satisfy and , so ; also .
Applying [F3] with , the commutator identity and give . Since , the displayed follows.
For , satisfies . Put . The finite spectral calculus gives , hence the partition function and . Differentiating at gives ; [F4] identifies this derivative as the static Gibbs susceptibility.
Using , , , and in step 1.1 gives the stated and . Integrating their real parts yields and , consistent with [F2].
The two susceptibilities differ because their denominators are respectively and , with . The dynamic formula used [F3]'s fixed-dissipator perturbation, whereas the static formula differentiates a Gibbs state whose Hamiltonian changes with . Therefore no equilibrium identity equating them is asserted for this model.
Exact centered qubit-record displacement variance
Example
Assume full AC and initialize the selected energy-resolved record with the Gibbs law . Use the two energy states of Connected Gibbs jump generators satisfy detailed balance with energies and , where is in joules and is in joules. Let be the rate from and the rate from , both in seconds, with . The stationary mean is . Write and let be a speed scale in metres per second; assign centered pointer velocities . The monitored record displacement has
and exact variance
Consequently
This is a variance of the selected classical record with units of squared metres. The record is not asserted to be a continuous quantum position or an experimental velocity.
Facts & Assumptions
Given: Full AC, a two-state connected Gibbs jump model, its ideal energy-resolved record instrument, and in metres per second.
The Axiom of Choice: every family of nonempty sets has a choice function, retained by the finite joint-path supplier.
Stationary monitored-chain transport variance coefficient: for the stationary selected record and any centered real velocity labels, the covariance integral and variance formulas hold.
Connected Gibbs jump generators satisfy detailed balance: for energies , the Gibbs weights obey detailed balance with the stated rates, and diagonal populations follow the two-state generator.
Verification
The Gibbs weights are and : their ratio is , and they sum to one. Thus and . The two-state generator has centered eigenvector with eigenvalue ; therefore and .
Substituting this covariance into [F1] gives
Evaluating the integral gives the displayed finite-time formula. Dividing by and letting gives .
Sources
- Robert Alicki and Karl Lendi, Quantum Dynamical Semigroups and Applications, Lecture Notes in Physics 717, §§1.5.3 and 1.3.4
- Eric A. Carlen and Jan Maas, Gradient flow and entropy inequalities for quantum Markov semigroups with detailed balance, §2
- 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”