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Qm Measurement And Instruments — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Analyticity of Holomorphic Functions; Liouville and Morera
- Approximation and Compactness in C(K)
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Banach Alaoglu Goldstine and Krein Milman
- Banach Algebras Spectrum and Holomorphic Functional Calculus
- Banach Valued Integration and the Radon Nikodym Property
- Bessel-Potential Completions and Real-Order Sobolev Spaces
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Cm Math Geometry
- Compact Operators and Riesz Schauder Theory
- Compact Self Adjoint Hilbert Schmidt and Trace Class Operators
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Power Series and Analytic Functions
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- 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
- Continuous Functional Calculus for Self Adjoint and Normal Operators
- Contour Integration
- Convergence: Nets and Filters
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Cyclic Groups and Direct Products
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Exterior Powers, Orientation and Hodge Duality
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fourier Multipliers and Sobolev Characterisations
- Fourier Transform Convolution and Approximate Identities
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Gelfand Theory and Commutative C Star Algebras
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- 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
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- 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
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- 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
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- pi: the Equivalent Characterizations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Qm Framework And Quantities
- Qm Math Composites
- Qm Math Fock And Equilibrium
- Qm Math Magnetic And Detection
- Qm Math Orbital And Spin
- Qm Measurement And Instruments
- Qm Observables And Born Probabilities
- Qm State Geometry
- 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
- Schwartz Space and the Plancherel Theorem
- 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
- Sine, Cosine, and the Definition of Pi
- Smooth Approximation and Sobolev Extension
- Smooth Partitions of Unity and Exhaustions
- Spectral Measures and Borel Functional Calculus
- Splitting Fields
- Square-Integrable Kernels and Hilbert–Schmidt Compactness
- Stone–Weierstrass in General
- Subspaces, Products, and Quotients
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tempered Distributions and the Fourier Transform
- Tensor Products of Modules
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Branching Rule and the Young Graph
- 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 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 Fundamental Theorems of Calculus
- The Galois Correspondence
- The Group Algebra and Representations of Finite Groups
- The Inverse and Implicit Function Theorems
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- 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
- Uniform Spaces: the Three Definitions
- Unitary Representations, Positive Type and GNS
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak Derivatives and Sobolev Spaces
2 · Summary
The companion page to qm-measurement-and-instruments collects finite worked instruments and one scope audit. The serial-filter example Serial ideal Stern-Gerlach filters: a two-level model computation computes the outcome probabilities of successive ideal spin-component filters in a declared two-level model - the amplitudes and , the quarter-probability case, and the change of the later statistics caused by the intervening declared measurement - and states explicitly that it does not derive the spatial Stern-Gerlach deflection or report any measured fraction. Three ideal analysers in series: the quarter-intensity model computation computes the corresponding transmission chain of declared ideal analysers, including the standard case and an explicit comparison with a stipulated classical amplitude model that gives the same ratio, with the warning that agreement of the two model computations establishes neither field quantization nor the applicability of either model. An absorbing two-outcome instrument: amplitude suppression and a branch without an outgoing polarization state exhibits a declared two-outcome instrument whose detected branch leaves an absorbed marker with no outgoing polarization-plane state and whose non-detection branch suppresses an amplitude by rather than projecting it away, so that neither outcome is repeatable. Coarse and fine declared measurements of a degenerate subspace: the Lueders update is not eigenvector selection contrasts a coarse readout of a degenerate subspace with a fine readout resolving it and shows that the coarse Lueders update retains the coherent superposition while the eigenvector-selection mixture changes the law of a suitable bounded observable. The scope remark What the worked instruments of the companion page establish records that none of the items is an experiment: no counts, calibration, resolution, uncertainty or data comparison is asserted anywhere on the page, and the reported Stern-Gerlach experiments remain a candidate experiment item not asserted here.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
Serial ideal Stern-Gerlach filters: a two-level model computation
An exact finite model computation for a declared two-level spin-half system and declared ideal filters: spin-component readouts along successive magnetic axes, their outcome probabilities and conditional states, and the order dependence of the serial statistics. The computation idealises a Stern-Gerlach filter as a declared ideal sharp measurement of a spin component; it does not derive the spatial deflection, the field geometry or the detector response, reports no measurement and asserts no property of silver atoms or of the 1922 experiments.
Example
Adopt P1, P2 and P3 for the declared system and assume Countable Choice, as in Declared ideal measurements and instruments of the framework. Declare a two-level system whose assigned Hilbert space is with the standard inner product and orthonormal basis (The state space of the framework: preparations, pure rays and density operators, Real and complex inner product spaces, with the inner product linear in the first argument, Hilbert space), interpreted as the two eigenstates of the -component of a spin-half degree of freedom. Use SI units: is the adopted reduced Planck constant, with action dimension and unit joule second (); the matrices and the angles are dimensionless. Thus , and their outcome values have angular-momentum dimension and are read in . No numerical value of is used. By the spin assignment of P6 with , the spin operators are with for the Pauli matrices in this basis (Identical-particle and spin assignments P6: permutation sectors and finite-spin representations clause (ii), Finite spin matrices clause (e)).
For a unit vector , , put Then and are orthonormal and Declare the ideal filter to be the ideal sharp measurement with the two outcomes and , whose outcome projections are and , the spectral projections of at (Declared ideal measurements and instruments of the framework clause (c), Rank-one operator calculus).
The example considers three ideal filters in series, (so ), with axis at angle , and with axis , and the initial preparation , the state of a spin-half system with . Then:
(i) Through the outcome has probability and the conditional state is again .
(ii) Through , conditioned on having passed , and, if , after the outcome the conditional state is the pure state of .
(iii) If , through , conditioned on having passed with the outcome , the outcome has probability For all , including the zero-probability first branch, the joint probability of the outcomes is .
(iv) In particular, for and , the model probability of outcome at is , and conditioned on that outcome the model probability of outcome at is also , giving joint probability for passing all three declared filters. If is omitted, has model probability of outcome on the state emerging from . Thus the intervening declared measurement changes the later model probabilities; these are not measured transmission fractions.
The computation is a model computation for declared ideal filters and the declared spin assignment: it does not derive the spatial Stern-Gerlach deflection or the inhomogeneous-field geometry, records no detector counts, resolution, background or uncertainty, and asserts nothing about the historical silver-atom experiments or about any particular apparatus.
Facts & Assumptions
Given: The two-level Hilbert space with orthonormal basis ; the spin-half operators ; unit vectors , ; the vectors ; the declared filters ; the preparation .
Spin-half representation. For the matrices of in the basis are with , , and are self-adjoint (Finite spin matrices clause (e), Identical-particle and spin assignments P6: permutation sectors and finite-spin representations clause (ii)).
Spectral projections. The vectors are orthonormal, span , and satisfy , ; hence and are the spectral projections of the bounded self-adjoint operator at the eigenvalues (Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely, Rank-one operator calculus clause (c)).
Outcome law and update. For a declared ideal sharp measurement with projections the probability of the outcome in a state is for a pure preparation , and the conditional state after a positive-probability outcome is (Declared ideal measurements and instruments of the framework clauses (a)-(b), Consequences of a declared ideal sharp measurement: repeatability and discarded ensembles clauses (a)-(b)).
Rank-one pairing. , so for unit (Rank-one operator calculus clauses (b)-(c)).
Elementary overlaps. For real angles, , and (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive, The induced length is a norm).
Verification
[The filter and clause (i)] For the vectors are , , and ; by [F3] and [F4], , and the conditional state after the outcome is . This is (i).
[Clause (ii)] By [F2] the projections of are and ; [F3] and [F4] give and , the total being . When , after the outcome the conditional state is by [F3] and the rank-one rules, because . This is (ii).
[Clause (iii)] If , the preparation after the outcome at is the pure state of , so [F3] and [F4] give by [F5]; multiplying this conditional probability by the passing probability from step 2.1 gives the joint probability of the outcome sequence by the definition of conditional update. If , the event is contained in the zero-probability event of passing , so its probability is zero; the displayed joint formula still holds, while no conditional state on that branch is defined. This is (iii).
[Clause (iv) and scope] Substituting and gives for each of the two intermediate steps, hence joint probability ; without the preparation reaching would still be and the probability of the outcome at would be , so the presence of the intervening declared measurement changes the later statistics. All quantities computed are model probabilities for the declared filters; no spatial deflection, detector response or measured count was used. This is (iv).
Remarks
- Idealization. The declared filters model only the spin-component outcomes and conditional updates. This example supplies no spatial field, beam-deflection or detector-response model; those are separate material and are not claimed here (Scope and empirical status of the measurement-and-instruments page).
- Order dependence is model-internal. The statement that inserting changes the later statistics is a consequence of the Lueders update for the declared filters; it is not a claim that every physical filter disturbs every subsequent measurement in this way, and it is not a claim about atoms in the absence of a declared preparation and detection model.
- No empirical content. The number is an exact model probability for the declared ideal filters, not a measured fraction; no calibration, efficiency, background, alignment or sampling model is supplied.
Three ideal analysers in series: the quarter-intensity model computation
An exact finite model computation for a declared two-level system and declared ideal analysers: transmission probabilities and conditional states of a serial analyser chain, including the standard quarter-transmission case. The two-level system is an idealization of a fixed-mode polarization degree of freedom under the separately adopted finite polarization assignment and probability/update rules explicitly adopted in this example, with Countable Choice assumed; the computation asserts no radiation quantization, no detector model, no measured counts and no empirical result, and it explicitly compares only with a declared classical amplitude model with the same ideal analyser convention.
Example
Adopt the following finite polarization assignment and measurement rules as additional model assumptions for this example, using the declared-instrument vocabulary of Declared ideal measurements and instruments of the framework. These are stipulated for the finite polarization space, beyond the massive-matter sector of P1; they are not consequences of its massive-particle assignment. Assume Countable Choice (The Axiom of Countable Choice ()), as required by the mathematical suppliers. Fix a propagation label in relative to fixed Euclidean spatial coordinates, and a real orthonormal transverse pair with . Identify , with its standard inner product and orthonormal basis , unitarily with by , . Its state space is and a unit ray represents for (The state space: density operators, pure and mixed states, and purity, Real and complex inner product spaces, with the inner product linear in the first argument, Hilbert space). The identification of these unit rays as polarization preparations is the adopted finite assignment, motivated by the source account in Binney and Skinner, Section 1.3.6, printed pages 14-15. It supplies no photon number or radiation dynamics. Angles are dimensionless, read in radians. For a real angle put The ideal analyser is the declared ideal sharp measurement with the two outcomes transmit and block, whose projections are and respectively, with outcome and update rules stipulated in [F2] below (Declared ideal measurements and instruments of the framework clause (c), Rank-one operator calculus).
The example takes the preparation , the chain of analysers with , with and with , and computes:
(i) The analyser transmits the preparation with probability and, when , after transmission the conditional state is the pure state of .
(ii) Consequently the chain transmits with joint probability whereas the chain alone transmits with probability .
(iii) Removing the middle analyser therefore changes the transmission of the chain from to within the declared model: the intervening declared measurement changes the state, and the later analyser sees the state selected by the earlier one, not the original preparation.
(iv) Model comparison only. A declared classical amplitude model for a transverse field in the same plane, in which the analyser transmits the component along and the transmitted intensity is stipulated to be proportional to the squared modulus of that component, gives the same ratio for a preparation along . The agreement of these two model computations does not establish that either describes nature, and it does not by itself establish field quantization (What the worked instruments of the companion page establish); no classical Maxwell theorem is invoked, and the field model is a stipulated finite-dimensional comparison. No transmission counts, detector efficiencies, backgrounds or sampling statistics are reported.
Facts & Assumptions
Given: The two-level Hilbert space with orthonormal basis ; real angles ; the unit vectors ; the declared analysers ; the pure preparation .
The analyser is a declared ideal sharp measurement. and are orthogonal projections with sum (Rank-one operator calculus clause (c), Declared ideal measurements and instruments of the framework clause (a)).
Adopted outcome law and update. On the finite polarization space independently assigned above, stipulate the projective probability and conditional-update rules in the form of P3: for mutually orthogonal projections summing to , outcome has probability and its conditional state is only when . These are adopted apparatus assumptions, using the formulas and vocabulary of Declared ideal measurements and instruments of the framework clauses (a)-(b), rather than a deduction extending the massive-matter scope of P1. For a pure preparation , the probability is by [F3]; for the conditional state is the pure state of normalized, by The selective Lueders update by an orthogonal projection clause (d).
Rank-one pairing. for unit vectors (Rank-one operator calculus clauses (b)-(c)).
Verification
[Clause (i)] The projections of are the rank-one projections onto the orthonormal pair [F1]. By [F2] and [F3], the transmit probability in the preparation is by [F4], and, when this probability is positive, the conditional state after transmission is the pure state of , which is the pure state of . This is (i).
[Clause (ii)] Applying step 1.1 successively: the first analyser transmits with probability and prepares ; the second transmits with probability and prepares ; the third transmits with probability and prepares . Multiplying the conditional probabilities by the definition of the sequential update gives the joint transmission probability for the chain. Without the middle analyser the preparation at the third analyser is still , and the transmission probability is . This is (ii).
[Clauses (iii) and (iv)] Step 2.1 exhibits two declared chains whose transmission probabilities differ even though the first and last analysers are the same, so within the declared model the intervening measurement changes later statistics; this is (iii). For (iv), define the stipulated classical model by the assignment for a unit transverse field along ; the same overlap computation [F4] gives , so the two models agree in this ratio. Since both computations use the same stipulated analyser convention and the same two-dimensional overlap, the agreement is a property of that convention and establishes neither model's applicability to nature nor field quantization; no data are compared. This is (iv).
Remarks
- Idealisation. Each analyser is represented by the declared ideal sharp measurement of clause (c) of Declared ideal measurements and instruments of the framework: the blocked component is not available for later experiments and the transmitted component leaves the analyser in the corresponding pure state. A physical Polaroid or polarizing beam splitter has its own absorption, reflection, efficiency and background behaviour, which this example does not model.
- No radiation model. The two-level space rather than a quantized radiation mode is the declared model; no photon number, mode function, field quantization or Maxwell dynamics is asserted, and no position or arrival-time information is described.
- Sampling. The numbers are single-trial model probabilities. To describe a run of trials one must additionally specify a joint sampling law. For example, independent Bernoulli variables with encode identical transmit trials at a stated probability ; their frequency is . Even for this sampling model a particular finite frequency need not be close to : at the all-blocked and all-transmitted runs have probabilities and . Identical single-trial probabilities alone specify no joint sampling law. No trial data or inference is reported here.
An absorbing two-outcome instrument: amplitude suppression and a branch without an outgoing polarization state
An exact finite model computation for a declared three-level system with a declared two-outcome instrument: a polarization-sensitive absorbing branch that leaves the absorbed level rather than an outgoing polarization state, a non-detection branch with amplitude suppression, and the non-repeatability of both branches. The three-level space and its level labels are a declared finite idealization of a fixed-mode absorbing detector, separately adopting its finite polarization/detector-marker state and instrument assignment, with Countable Choice assumed; no real detector, photon number, efficiency, dark count or measured rate is described, and no claim about photon absorption in nature is made.
Example
Adopt the following finite detector state and instrument assignments as additional assumptions of this example, using the preparation and instrument formulas of P1-P3 on this explicitly declared effective model; their massive-matter formulation alone does not supply this extension. Assume Countable Choice (The Axiom of Countable Choice ()), the hypothesis of the mathematical suppliers. Fix a propagation label in relative to fixed Euclidean spatial coordinates, and a real orthonormal transverse pair with . As an additional finite detector-model assumption, assign , where , with orthonormal coordinates , for , and state space (The state space: density operators, pure and mixed states, and purity, Real and complex inner product spaces, with the inner product linear in the first argument, Hilbert space). A unit vector represents the preparation . The level is the declared absorbed/no-photon marker, orthogonal to the polarization plane ; it is a bookkeeping level rather than an assigned Fock vacuum. The extension to and the instrument rule below are adopted assumptions of this effective detector model, not consequences of the massive-matter state assignment or a full radiation dynamics. Angles and all amplitude coordinates are dimensionless, with angles read in radians. Fix a unit vector so that is an orthonormal basis, and fix a detection parameter , a dimensionless model parameter. Declare the two-outcome instrument with Kraus family (Declared ideal measurements and instruments of the framework clause (d)) where (Rank-one operator calculus), with outcomes and , effects , , probabilities , and updates for positive probabilities. The example considers preparations with so that the preparation lies in the polarization plane, and computes:
(i) The family is normalized, , with effects and ; hence
(ii) When , conditioned on the outcome , the conditional state is : the branch carries the absorbed/no-photon record and leaves no outgoing state in the polarization plane. In particular the model does not produce an outgoing one-photon polarization state for the detected branch.
(iii) Conditioned on the outcome , the conditional state is the pure state of the normalized vector that is, the -component is amplitude-suppressed by rather than projected away. For the fully detectable preparation () and one has and the no-detection conditional state is again ; a repetition of the instrument on that branch again detects with probability , so the no-detection outcome is not repeatable.
(iv) When , after the detection branch the state is , and a repetition gives : the detection outcome is not repeatable either. The effects and are not projections for , so the instrument is not a declared ideal sharp measurement; it is a declared general instrument whose update is part of its declaration (Finite effects and instruments: normalization and non-determination of the update clause (d), Declared ideal measurements and instruments of the framework clauses (d)-(f)).
No real detector, efficiency, dark count, dead time, photon number or measured rate is described; the computation is a model computation in the declared three-level space.
Facts & Assumptions
Given: The three-level Hilbert space with orthonormal basis ; the unit vector and ; the parameter ; the Kraus family and its outcomes; a pure preparation of with .
Rank-one calculus in . satisfies , , and for an orthonormal basis one has (Rank-one operator calculus clauses (a)-(d), Hilbert space).
Declared instruments and adopted premises. Adopt the separate finite detector-marker state/instrument assignment specified above and assume Countable Choice. For this effective model the following outcome and update rules are adopted with its declared apparatus, using the vocabulary of the measurement definition; their normalization is supplied by the finite instrument mathematics. A normalized finite Kraus family with declares an instrument with effects , outcome probabilities and conditional updates for (Declared ideal measurements and instruments of the framework clause (d), Finite effects and instruments: normalization and non-determination of the update clauses (a)-(b)).
States. with is a state, and for a rank-one weight with one has for bounded (The state space: density operators, pure and mixed states, and purity, Density operators and scalar spectral probability clause (a), [F1]).
Elementary inner products. , , and (The induced length is a norm, Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Verification
[Normalization and effects] By [F1], and , since the cross terms of vanish by the orthogonality relations [F4]; summing gives by [F1]. Hence the family is normalized with the displayed effects [F2].
[Clause (i)] By [F2] and [F3], and , using [F4]. This is (i).
[Clause (ii): the absorbed branch] The non-normalized conditional operator is by [F1]; dividing by (for ) gives , a state with no component in the polarization plane. This is (ii).
[Clause (iii): the non-detection branch] Since by [F1] and [F4], the non-normalized conditional operator is with trace ; dividing gives the pure state of the displayed normalized vector, in which the -amplitude is scaled by instead of being removed. The denominator is positive because . For , and every admitted , the normalized vector is and the state is again ; applying (i) to this state gives subsequent detection probability , so the no-detection outcome does not repeat with certainty. In particular gives the stated repeated detection probability . This is (iii).
[Clause (iv): the detected branch and the idealisation] On the state of step 3.1 the detection probability is by [F3] and [F4], so the detection outcome does not repeat either; and has the eigenvalues , so it is not a projection when , and the instrument is not a declared ideal sharp measurement. The update of the non-detection branch is therefore not the Lueders update of a projection, and its value is part of the declaration [F2], in agreement with the non-determination recorded in Finite effects and instruments: normalization and non-determination of the update clause (d). No detector quantity was used. This is (iv).
Remarks
- Interpretation of the marker. The level is a bookkeeping record of the branch in which the model detector has absorbed the excitation of the polarization mode. The example is honest about being a declared three-level idealisation: it asserts no photon-number content, no outgoing vacuum field, no detector dynamics and no real absorption mechanism.
- Why this is not a projection. The effects and sum to and have eigenvalues in , so they are legitimate effects of a finite-resolution apparatus model; the principal contrast with the projective case is that the update of the no-detection branch suppresses the detected component by the amplitude rather than projecting it away, and that neither outcome is repeatable.
Coarse and fine declared measurements of a degenerate subspace: the Lueders update is not eigenvector selection
An exact finite model computation contrasting two declared ideal sharp measurements of a three-level system: a coarse readout of a degenerate two-dimensional subspace and a fine readout resolving it. The example shows that the Lueders update by the subspace projection retains the coherent superposition while the fine measurement selects basis states, and that the two declared measurements give different statistics for a suitable bounded observable. It asserts no apparatus realization and no empirical result.
Example
Declare a three-level system with assigned Hilbert space and orthonormal basis , and put with (The state space of the framework: preparations, pure rays and density operators, Real and complex inner product spaces, with the inner product linear in the first argument, Hilbert space, Rank-one operator calculus). Declare the two ideal sharp measurements and consider the pure preparation and the bounded self-adjoint observable, declared dimensionless with spectral unit , with spectral projections at , at and at (Declared ideal measurements and instruments of the framework, Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely). Then:
(i) In the coarse measurement the outcome has probability , and the conditional state is again : the coarse readout leaves the coherent superposition inside the degenerate subspace intact.
(ii) In the fine measurement the outcomes and have probabilities each (and has probability ), with conditional states and : the fine readout selects a basis state.
(iii) For the observable the two declared measurements give different model predictions: after the coarse outcome the value has probability ; the mixture (the discarded ensemble of the fine measurement) assigns probability to and to . Hence the coarse Lueders update is not equivalent to selecting one eigenvector of the degenerate subspace with probability and forgetting the other: that replacement destroys the coherence of and changes the statistics of .
(iv) The fine measurement refines the coarse outcome structure: grouping outcomes gives , and outcome gives , since and . It is nevertheless a different declared measurement with more detailed outcomes. The coarse outcome "the system is in " does not itself report whether the fine outcome was or ; replacing the coarse Lueders update by the discarded fine ensemble is a different model, with the observable consequence exhibited in (iii). No apparatus is asserted to realize either declared measurement, and no empirical comparison is made.
Facts & Assumptions
Given: The three-level Hilbert space with orthonormal basis ; the projection ; the unit vectors ; the declared measurements ; the preparation ; the observable .
Rank-one calculus. is trace class with ; for unit vectors the operator is an orthogonal projection with for bounded , and (Rank-one operator calculus clauses (b)-(d), Hilbert space).
Declared measurements and updates. For a declared ideal sharp measurement the outcome probabilities are for a pure preparation of the unit vector , and the conditional state after a positive-probability outcome is (Declared ideal measurements and instruments of the framework clauses (a)-(b), Consequences of a declared ideal sharp measurement: repeatability and discarded ensembles clauses (a)-(b)).
Selective update of a supported pure state. Under Countable Choice, for an orthogonal projection and a unit vector with , the normalized compression of is (The selective Lueders update by an orthogonal projection clause (d)). Its physical interpretation as the conditional state of the declared measurement is exactly [F2]. This lemma requires no assigned observable or spectral-eigenspace hypothesis.
Spectral projections of . and are orthonormal, and is bounded and self-adjoint with , , so and are its spectral projections at and (Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely, [F1]).
Elementary overlaps. , , , and (The induced length is a norm, Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Verification
[Clause (i)] , so [F2] gives ; by [F3] and [F2] the conditional state after the outcome is , unchanged. This is (i).
[Clause (ii)] By [F2] and [F1], the fine outcome probabilities are , equal to for and for by [F5]; the conditional states are . This is (ii).
[Clause (iii)] By [F4] and [F2], in the coarse conditional state the value of has probability . The mixture gives and by [F1] and [F5], so the mixture assigns probability to each of and . The two laws for differ; the discarded ensemble of the fine measurement is this mixture, whereas the coarse conditional state is the coherent state , so replacing the coarse Lueders update by eigenvector selection is a distinct model with different predictions. This is (iii).
[Clause (iv) and scope] By the displayed definitions, the sum of the first two fine projections is and the third is , so grouping the fine outcomes as stated gives the coarse outcome structure; thus refines . The instruments are still distinct because the coarse Lueders outcome leaves unchanged while the fine measurement, when its label is discarded, gives the mixture in step 3.1. The coarse outcome alone supplies no finer label. No apparatus was used and no record is reported. This is (iv).
Remarks
- Degeneracy is a property of the declared measurement, not of the state alone. The superposition inside is unchanged by the coarse readout because the update uses the projection onto the whole eigenspace; a fine measurement whose projections lie inside is a different apparatus model with different outcomes.
- No preferred basis. The coarse readout has no rule that selects or ; the model contains no such rule, and the example shows that adding one changes predictions for a suitable later observable.
What the worked instruments of the companion page establish
A scope audit of the companion page of worked instruments: it records what each finite model computation verifies inside the framework's declared-measurement vocabulary and what none of them claims. It proves nothing, records no measurement, reports no observation and asserts no apparatus realization or empirical agreement.
Scope of the worked instruments
Serial filters. Serial ideal Stern-Gerlach filters: a two-level model computation computes, in a declared two-level spin-half model with the spin assignment of P6, the outcome probabilities and of successive ideal filters and the quarter-probability case. The computation verifies the model's serial Lueders statistics for declared ideal filters. It does not derive the inhomogeneous-field force, the spatial splitting or the detector response of a Stern-Gerlach apparatus, and it reports no measured fraction and no property of silver atoms; the reported Stern-Gerlach experiments of 1922 remain a candidate experiment item that is not asserted by this page.
Analyser chain. Three ideal analysers in series: the quarter-intensity model computation computes the transmission probabilities of a chain of declared ideal analysers in a declared two-level model and exhibits the standard case, together with an explicit caveat that a stipulated classical amplitude model with the same ideal analyser convention gives the same ratio. The agreement of the two model computations does not establish field quantization or the applicability of either model to nature, and no transmission counts, efficiencies or backgrounds are reported.
Absorbing instrument. An absorbing two-outcome instrument: amplitude suppression and a branch without an outgoing polarization state exhibits a declared two-outcome instrument whose detected branch leaves an absorbed marker with no outgoing polarization-plane state and whose non-detection branch suppresses one amplitude by rather than projecting it away; neither outcome is repeatable. The computation verifies that a declared instrument can describe a destructive apparatus within the framework's instrument vocabulary and that its update is part of its declaration. The three-level space is an idealisation; no real detector, photon number, efficiency or rate is described.
Degenerate readout versus fine readout. Coarse and fine declared measurements of a degenerate subspace: the Lueders update is not eigenvector selection contrasts a coarse readout of a degenerate subspace with a fine readout resolving it and shows that the coarse Lueders update retains the coherent superposition while the eigenvector-selection mixture changes the law of a suitable bounded observable. The computation verifies the degeneracy clause of the projective update inside an explicit three-level model; it asserts no preferred basis and no apparatus.
Empirical neutrality. None of the four items is an experiment. Each is a finite computation for a declared preparation and a declared measurement model; none records data, calibration, sampling, uncertainty or a comparison with observation, and none claims that a laboratory device realizes the declared instrument. Agreement or disagreement with data would test the combined model and apparatus assumptions under the preparation and apparatus postulate P7 (Preparation and apparatus postulate P7: declared preparations, isolation and sampling assumptions) and is not established or claimed here.
Sources
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Section 7.4.2, printed pages 161-164 (Stern-Gerlach filters in series, the amplitude cos((phi-theta)/2) and the quarter-intensity example)
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 2 'Spin One-half, Bras, Kets, and Operators', Section 1, printed pages 1-7 (Stern-Gerlach boxes in series and the loss of memory of the first filter)
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Section 1.3.6, printed pages 14-15 (photon polarization: amplitudes cos(theta) and sin(theta), transmission probability cos^2(theta), and the classical intensity ratio)
- B. Zwiebach, MIT 8.05 Quantum Physics II (Fall 2013), Chapter 2 'Spin One-half, Bras, Kets, and Operators', Section 1, printed pages 1-7 (sequential measurement boxes and their probabilities)
- J. Preskill, Lecture Notes for Ph219/CS219: Quantum Information, Chapter 3 'Foundations II: Measurement and Evolution' (updated July 2015), Section 3.1.2, printed pages 9-11 (generalized measurements, POVM effects, and the freedom of the post-measurement state)
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Section 1.3.6, printed pages 14-15 (photons passed or absorbed by an analyser, with the transmitted state fixed by the analyser)
- D. Tong, Quantum Mechanics (author-hosted lecture set), Section 3.3, printed pages 76-77 (degenerate spectrum: collapse to the normalized superposition inside the degenerate eigenspace)
- J. Preskill, Lecture Notes for Ph219/CS219: Quantum Information, Chapter 3 'Foundations II: Measurement and Evolution' (updated July 2015), Section 3.1.2, printed pages 9-11 (orthogonal versus generalized measurement and non-repeatability)
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Sections 1.3.6, 1.4 and 7.4.2, printed pages 14-15 and 161-164 (polarization probabilities, ideal measurement and Stern-Gerlach filters in series)
- D. Tong, Quantum Mechanics (author-hosted lecture set), Section 3.3, printed pages 76-77 (the measurement postulate and its stated limits)