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Qm Math Controlled Dynamics — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Banach Valued Integration and the Radon Nikodym Property
- Banach-Space Differential Calculus and Banach Manifolds
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compact Operators and Riesz Schauder Theory
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Connectedness
- 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
- Contour Integration
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Lebesgue-Stieltjes Measures and Distribution Functions
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Qm Math Controlled Dynamics
- Qm Math Orbital And Spin
- Radon Measures and the Riesz Markov Kakutani Theorem
- 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
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Spectral Measures and Borel Functional Calculus
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Analytic Hahn Banach Theorem
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Unbounded Self Adjoint Operators and Stones Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The companion page to qm-math-controlled-dynamics records three explicit
mathematical checks on its approximation theory. All three items are
mathematics: they carry domain: mathematics, depend only on the parent page
and mathematical suppliers, and make no physical or empirical claim.
Gap-closing failure exhibits the two-level family whose gap closes at : the eigenprojection branch is discontinuous and the adiabatic tracking conclusion fails with norm for every slow-time parameter, showing that the uniform-gap hypothesis in Finite gapped adiabatic estimate cannot be dropped.
Continuum contribution in perturbation computes the second-order perturbation coefficient of a model whose unperturbed spectrum is an isolated simple eigenvalue plus a continuous band, obtaining a strictly negative shift produced entirely by the continuous part; a bound-state-only sum would return , so Simple-level reduced-resolvent coefficients must include all complementary spectral components.
Long-time RWA limitation evaluates the rotating-wave error exactly for , and finds , which returns the fixed positive value at , proving nondecay in that fixed commuting case. Its separate noncommuting family has , fixed and , yet its propagator error equals at . That family proves that the finite-time estimate of Rotating-wave finite-time error cannot be replaced by a general uniform-in-time bound tending to zero with .
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
Gap-closing failure
Example
Let on , with orthonormal basis , . Let for , and let solve , , for . For define to be the spectral projection onto the ordered upper eigenvalue .
(a) The eigenvalues are and , so their separation closes at . The uniform positive-gap hypothesis of Finite gapped adiabatic estimate fails.
(b) The ordered upper projection is for and for . Its distinct one-sided limits preclude a continuous extension through . At the crossing , the spectral projection for its only eigenvalue is , not a distinguished rank-one projection. Assigning any rank-one projection at the crossing does not repair the unequal one-sided limits.
(c) The exact propagator is , so and
Thus upper-energy tracking fails maximally at the endpoints. This is the ordered branch for which the leakage assertion is made.
(d) There is nevertheless a continuous constant rank-one branch whose vectors obey for every . It starts at energy at , ends at energy at , and satisfies for every . At this is a subprojection of the degenerate eigenspace; it is not the rank-two full spectral projection . The original claim that no continuous rank-one eigenbranch can pass through this crossing was false.
Verification
Given: the explicit diagonal matrices, and , with defined only for and its endpoint values as above.
[F1] Direct matrix multiplication gives , , and ; these agree with Finite spin matrices (e).
[F2] The explicit matrix exponential can be differentiated entrywise. If and both solve with the same initial matrix, their difference has , so . This supplies the uniqueness actually needed here without consuming the defective generic Dyson ordering.
The two scalar eigenvalues in [F1] have distance , which tends to zero at the crossing. For the larger one is with eigenspace ; for it is with eigenspace . Their orthogonal projections differ by in norm , so no choice at gives a continuous ordered-upper projection. The zero matrix at has only the full eigenspace as its nonzero spectral projection.
Set . Entrywise differentiation gives and . Hence [F2] identifies . At both phases are , and , an orthogonal projection of norm . This proves the full leakage assertion for every .
The constant projection has by [F1], commutes with by step 2.1, and gives zero leakage out of its fixed range. It therefore exhibits the continuous eigenvector counterbranch through the crossing and disproves the old unqualified no-continuous-rank-one-branch assertion, while preserving the ordered-upper failure just proved.
Continuum contribution in perturbation
Example
Assume Countable Choice (The Axiom of Countable Choice ()), as required by the analytic coefficient supplier. Let with norm and inner product linear in the first variable (Hilbert space, The space as the quotient by null functions). Let on all of , with . The operator is bounded and self-adjoint, with spectrum ; is an isolated simple eigenvalue with gap . These assertions and its concrete PVM are verified directly below, without a general AC spectral theorem. Define This example verifies that:
(a) is bounded and self-adjoint, with . is the projection onto , and is a unit vector with .
(b) With , and the actual reduced inverse , the second-order coefficient of Simple-level reduced-resolvent coefficients is exactly The coefficient theorem applies for all complex , where ; the first-order coefficient is zero. The contour supplier applies on the larger disk .
(c) The entire second-order coefficient comes from the continuous, indeed absolutely continuous, complementary spectrum of on . A bound-state-only sum returns , so it misses this nonzero complementary contribution.
Verification
Given: CC, the concrete above and the first-variable-linear pairing.
[F1] Projection valued measure, A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum, Hilbert space and The space as the quotient by null functions specify the operators, quotient classes and Hilbert norm. Under the assumed Countable Choice, Complex completeness, density, and inner product: the consumer interface gives completeness and the first-variable-linear pairing for complex on every measure space; apply it to Lebesgue measure on . Multiplication by bounded measurable functions preserves these quotient classes; Cauchy-Schwarz inequality for bounds the scalar integral in , and Dominated convergence gives the strong convergence of indicator-multiplier tails.
[F2] Simple-level reduced-resolvent coefficients, with the actual restricted inverse on , gives and under CC and . Contour perturbation projection gives the holomorphic simple eigenvalue on . The example verifies all operator, spectral, normalization, gap and perturbation hypotheses locally before using them.
[F3] The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t identifies . Positivity is also immediate from on a positive-length interval.
[Explicit operator and spectral measure] The completeness and pairing in [F1] make it a complex Hilbert space. If is Cauchy in the stated direct-sum norm, each component is Cauchy; completeness of and this space gives limits , and the norm identity gives convergence to . Thus is complete before any Hilbert-space theorem or PVM definition is used. Since , is bounded on all with norm , and real multiplication gives . A bounded symmetric operator on the whole Hilbert space equals its adjoint directly by the defining pairing, so is self-adjoint with domain . For every real Borel define . These are orthogonal projections, , and their products are . On a fixed vector, disjoint countable additivity follows from pointwise indicator sums and the integrable squared-norm majorant (with the scalar component evaluated at ), so this is a PVM. Its scalar measures are . Integrating bounded simple approximations to the coordinate function on yields on all . Thus the representing PVM and its bounded multiplier realization are explicit.
[Spectrum, gap and absence of complementary eigenvectors] For , is a bounded two-sided inverse on . For any and , the interval has positive length. The vector is unit and has , excluding a bounded inverse at . Finally , so is an isolated simple eigenvalue and its distance to the remaining spectrum is . The equation forces in because a singleton has Lebesgue measure zero. Consequently the complementary block has no eigenvectors and all its spectral measures are absolutely continuous with densities on , including zero atom at the endpoints. In particular and has norm one.
[Perturbation hypotheses and the restricted inverse] Let . Cauchy-Schwarz and the interval's length one give . Therefore ; equality at gives . For , the first-variable-linear pairing gives , so . Moreover and the first-order pairing is zero. On , has inverse , bounded on that exact whole complementary domain with norm one. Hence , and on . No global inverse of is used. The preceding operator, spectral and perturbation computations verify every concrete hypothesis of [F2], with inherited CC and .
[Exact coefficient and its continuous origin] The explicit reduced inverse gives and . Pairing with the unit and applying [F2], [F3] yields . The scalar spectral measure of is exactly by step 1.1, so the entire coefficient integrates over the continuous complementary spectrum. Step 2.1 shows that the only bound eigenvector belongs to , with zero coupling matrix element; there are no complementary bound eigenvectors. A sum restricted to bound states therefore gives zero and omits the exact negative coefficient. This proves all original example claims, its normalization and class, with the correct restricted inverse and explicit inherited CC.
Long-time RWA limitation
Example
Work on with . Keep the original commuting example , , so and . The exact and averaged propagators from time are
Their norm difference is . At it equals for every . This proves persistent nondecay of the original commuting error. It alone does not disprove uniform-time smallness as the ratio becomes small: in the commuting extension , , , , the exact error satisfies
To prove the stronger intended general limitation, fix and define , , . For every integer , let
These are smooth bounded self-adjoint Hamiltonians of precisely the form of Rotating-wave finite-time error. They are noncommuting in time: for suitable , . Their oscillatory coefficient norm satisfies . Nevertheless at the growing times their exact propagator obeys , while . Thus
This is the maximum possible norm distance between unitaries. In particular no general bound with as can hold for this whole class, even with , fixed positive and dimension two. This does not assert that the finite-time theorem's linear growth rate is sharp; it proves the absence of general uniform-time smallness without additional hypotheses. All assertions concern explicit mathematical models, not a laboratory error or measurement.
Verification
Given: the original commuting example, and the circular family with , , and as above.
[F1] The Pauli matrices have and , and ; these follow by multiplying their displayed two-by-two matrices, consistent with Finite spin matrices (e).
[F2] Direct differentiation of a displayed unitary solution with initial value verifies its propagator equation; uniqueness follows from the same calculation used in the preceding example. No generic ordered Dyson formula, autonomous AC group theorem, or unbounded-domain assertion is needed.
The original displayed diagonal exponentials differentiate to , , with initial value . They are therefore the required propagators by [F2]. Left multiplication of their difference by leaves its norm unchanged and gives diagonal entries , whose common modulus is . Substitution at proves the original positive nondecaying subsequence.
Define and . The diagonal formula for gives and . Hence . Put . Both factors are unitary, , and differentiating gives , because commutes with . By [F2], . The sign of and the positive term in are essential in this cancellation.
For the commuting extension with real , integrate its diagonal scalar entries to obtain . The same diagonal norm calculation gives . Thus the original commuting nondecay example admits a time-uniform small-ratio estimate; the stronger failure requires the separate noncommuting construction.
By [F1], , where from the exact definition of . Splitting the absolutely convergent matrix exponential into even and odd powers gives . At , the angles are and . Therefore and , so . Since , for every , and the norm difference at is .
The matrix sends to , so its operator norm is exactly ; hence . Also for fixed . For noncommutativity, the products and give . The proposed general function would give , a contradiction. This proves the full intended no-general-uniform-smallness conclusion while retaining the distinct commuting nondecay example.
Sources
- R. Fitzpatrick, Quantum Mechanics (University of Texas at Austin, author-hosted course text), Two-State System pp. 153-155 (level crossing and breakdown of adiabatic tracking)
- T. Kato, Perturbation Theory for Linear Operators, Chapter II.4 (the uniform-gap hypothesis is essential in the adiabatic theorem)
- R. Fitzpatrick, Quantum Mechanics (University of Texas at Austin, author-hosted course text), Non-Degenerate Perturbation Theory pp. 155-156 (second-order shift as a sum over unperturbed states)
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 6.6 pp. 153-159 (reduced resolvent and the second-order coefficient)
- R. Fitzpatrick, Quantum Mechanics (University of Texas at Austin, author-hosted course text), Spin Magnetic Resonance pp. 178-180 (rotating-wave approximation and its long-time limitations)
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Chapter 5 pp. 123-131 (exponential of a bounded self-adjoint generator)