Informativity Institute · Research brief · 30 October 2026

Schrödinger evolution and count redistribution

Conditional operator selection, the kinetic coefficient, exact norm checks and the primitive-update question.

Recorded source or audit snapshot: September 5, 2026 · Brief prepared: October 30, 2026
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What the source reconstructs

J. A. Geiger’s Measurement Quantization: A Count-Based Resolution of the Quantum Measurement Problem develops the dynamical construction in Section 3.5 and Appendices E and O. The claimed result is a coefficient-resolved Schrödinger realization within a specified nonrelativistic class. It is not a uniqueness theorem over all nonlinear, nonlocal or higher-spatial-order dynamics. [1]

The Internal Frame is the relational count-configuration domain. Its adjacency labels and update ordering are not primitive spatial coordinates and physical clock time. The System Frame is the realized relational encoding, where those observables and a complex wave function are represented through the Frames mapping. The operator lattice below belongs to that realized representation. [1] [2]

The spatial operator and its limiting conditions

Appendix E.1 represents local adjacency by a regular cubic nearest-neighbor stencil. Opposite first differences compose to the centered second difference: the neighboring values are added and twice the central value is subtracted. Dividing by squared spatial spacing and summing over the three coordinate directions gives the realized discrete Laplacian. For sufficiently smooth fields under a controlled refinement, the corresponding operator converges to the continuum Laplacian. [1]

The centered formula is second-order accurate on the standard smooth stencil, with its leading error involving fourth spatial derivatives. Agreement in a refinement calculation requires control of boundaries and the relevant derivatives, not merely drawing more lattice points. A regular isotropic stencil is a realization condition; adjacency locality alone does not determine that particular representation. [1]

Table 1: Distinct ingredients in the conditional dynamical reconstruction
IngredientStated roleWhat it does not establish alone
Conserved relational countsPrimitive balance and adjacency-local redistributionA unique transfer history or physical clock
Regular symmetric stencil and smooth limitRealized local second-order spatial operatorAll possible continuum generators
Phase, action scale, mass and inertial responseComplex representation and intended kinetic coefficientA coefficient from normalization alone
Self-adjoint domain and suitable boundariesReversible norm-preserving realized evolutionA unique spatial form or primitive count update

Table 1 separates a balance law from a dynamical selection rule. In particular, different conservative transfers can have the same net count changes, and different self-adjoint Hamiltonians can preserve the same norm. The source’s restricted class and coefficient argument therefore do substantive work beyond conservation. [1]

The continuum equation and coefficient convention

Let 𝜓(𝒓,𝑡) be the normalized realized position-space wave function, with position in m and time 𝑡 in s. In three dimensions its units are m⁻³ᐟ². The Hamiltonian operator 𝐻̂ has energy units J. The imaginary unit 𝑖 squares to minus one. For the ordinary electromagnetic realization used here, the italic phase-action quantity ħ has units J s and the measurement-regime meaning stated for Eq. (E.11). [1] [2]

𝑖ħ∂𝜓(𝒓,𝑡)∂𝑡=𝐻̂𝜓(𝒓,𝑡)(1a)

Write 𝑚 for the positive realized subsystem inertial mass in kg, 𝑉(𝒓,𝑡) for the real multiplicative potential energy in J, and ∇ for the spatial gradient. Its squared form is the continuum Laplacian, with inverse-square-length dimensions. The selected nonrelativistic generator is Equation (2b). [1]

𝐻̂=−ħ22𝑚∇2+𝑉(𝒓,𝑡)(2b)

The kinetic coefficient has units J m²; acting with the Laplacian gives energy. The source traces the action scale to MQ realization relations and mass to the specified subsystem. Its current Appendix O combines phase-action and Hamilton–Jacobi structure with the Galilean boost action supplied upstream in Proposition 2.7 and Appendix Y to obtain the quadratic free dispersion and the factor one half. Those upstream arguments are dependencies of the claim, not consequences of a numerical norm test. [1]

The electromagnetic convention is explicit here. The source separately discusses an upper-count action-scale realization. Compact formulas from another realization must not be substituted as though all uses of the reduced-Planck quantity were interchangeable. No numerical transition-frequency prediction or calibration of a different regime is inferred from the examples in this Brief. [1] [2]

Self-adjointness, boundaries and conservation

A formally real differential expression is not a complete self-adjoint operator. Its domain and boundary behavior must also be specified. Standard periodic domains, appropriate self-adjoint endpoint conditions, or sufficient decay on an unbounded domain can remove the unwanted boundary terms in the source’s calculation. A generic statement of zero boundary flux does not replace a domain analysis. [1]

dd𝑡∫|𝜓(𝒓,𝑡)|2d3𝒓=0(3c)

Equation (3c) is the source’s closed-domain norm-conservation statement, with the integral over the stated realized position domain. In the time-independent self-adjoint case, the strongly continuous unitary group has a self-adjoint generator. That theorem does not choose its physical spatial form or coefficient. Time-dependent Hamiltonians require the corresponding well-defined propagator rather than an automatic one-parameter-group claim. [1] [4]

Forward Euler and the Cayley alternative

Let 𝐻𝑑 be a fixed finite-dimensional Hermitian discrete Hamiltonian in J, with the source’s discrete inner product. The time increment Δ𝑡 has units s, and 𝟙 denotes the identity operator. Solving the source’s Eq. (E.17) for the next state gives the Cayley step operator displayed in Equation (4d). [1]

(𝟙+𝑖Δ𝑡2ħ𝐻𝑑)−1(𝟙−𝑖Δ𝑡2ħ𝐻𝑑)(4d)

For a Hermitian matrix and real time step, the two factors are adjoint partners and functions of the same matrix. Their product is unitary. By contrast, the forward Euler step retains only identity minus the imaginary time-step generator. Its norm-squared change includes a positive second-order term. Exact unitary stepping and first-order agreement with a continuum equation are different properties. [1]

An exact two-mode numerical check

Choose a two-mode Hermitian Hamiltonian whose diagonal entries are zero and whose off-diagonal entries equal one positive energy scale. Begin with amplitude one in the first mode and zero in the second. Select the time step so that step times that energy scale divided by the action scale is exactly one fifth. The amplitudes in this finite orthonormal basis are dimensionless; no particle mass, apparatus or count clock is being fitted.

Forward Euler produces amplitudes one and minus the imaginary unit divided by five after one step, so its norm squared is twenty-six twenty-fifths. The Cayley step instead has diagonal coefficient ninety-nine over one hundred one and off-diagonal coefficient minus twenty times the imaginary unit over one hundred one. Its first-step probabilities are 9801/10201 and 400/10201, which sum to one exactly.

Table 2: Repeated-step check; displayed noninteger decimals are rounded to six places
StepEuler norm squaredCayley norm squaredCayley first-mode probabilityExact continuum first-mode probability
01.0000001 exactly1.0000001.000000
11.0400001 exactly0.9607880.960530
101.4802441 exactly0.1681920.173178
252.6658361 exactly0.0716830.080464
507.1066831 exactly0.7338210.704041
Figure 1. Forward Euler and Cayley norm testA fixed Hermitian two-mode swap generator evolves a normalized initial state. With dimensionless step one fifth, forward Euler multiplies norm squared by twenty-six twenty-fifths at every step and reaches about 7.10668 after fifty steps. The Cayley rule preserves norm squared exactly at one, verified with rational arithmetic. No per-step renormalization is used. This tests numerical encoding, not a primitive count dynamics. 2026-10-30T21:50:17.171180 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 0 10 20 30 40 50 Number of equal time steps 0 1 2 3 4 5 6 7 8 State norm squared Forward Euler · no renormalization Cayley · exact norm 1 A Hermitian generator does not make every time step unitary Calculated two-mode test; step × energy scale / action scale = 1/5. No detector data or primitive count history.
Figure 1. Table 2’s fixed two-mode generator and step. Euler norm squared is multiplied by twenty-six twenty-fifths on every step; Cayley norm squared remains exactly one. Rational arithmetic checks the latter at every displayed step. No per-step renormalization is applied, and no primitive count history or detector data are simulated.

Table 2 and Figure 1 verify the update property, not the source’s entire dynamical reconstruction. The Cayley probabilities need not equal the exact continuum probabilities at a finite step. For a fixed energy eigenvalue its step phase is twice the arctangent of half the dimensionless time-step energy, rather than the exact linear phase. Thus unit norm does not remove temporal discretization error. Renormalizing Euler after each step would hide its norm growth without making it the same evolution.

The four-cell restriction on a universal count rule

The archive’s later qualification concerns a narrower primitive proposal. Consider four cells around a cycle and encode their complex mode with phases one, the positive imaginary unit, minus one and the negative imaginary unit. Assume one fixed linear matrix acts on every nonnegative count configuration, has nonnegative entries and conserves the total count. Require its mode output always to equal the input mode multiplied by one fixed complex phase of modulus one. [5]

Test that rule on a configuration with one occupied cell. Its output is a nonnegative distribution of the same total across the four cells. The encoded mode is therefore a convex combination of the four phase vertices. All such combinations lie inside their diamond-shaped convex hull. The unit circle meets that diamond only at its four vertices. The proposed unit-modulus multiplier must consequently be a quarter-turn phase. [5]

Figure 2. Four-cell phase hull and a Cayley phaseThe four cell phases are the real and imaginary unit-circle vertices. A conservative nonnegative linear count rule sends a single occupied cell to a convex combination inside their diamond. A multiplier with unit modulus can lie in this diamond only at a vertex. The non-quarter-turn Cayley factor with real component ninety-nine over one hundred one and imaginary component minus twenty over one hundred one lies outside the diamond. The result concerns a fixed rule acting on every count configuration, not arbitrary nonlinear or enlarged realizations. 2026-10-30T21:50:17.376127 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ −1 0 1 Real component −1 0 1 Imaginary component Cayley phase (99/101, −20/101) The four-cell positive-linear rule has a restricted phase image Convexity test for one fixed universal conservative nonnegative rule; not a no-go theorem for every MQ realization.
Figure 2. Self-contained convexity test for the restricted four-cell rule. The Cayley phase from the one-fifth step has components 99/101 and −20/101. Its squared modulus is one, but the sum of its absolute components is 119/101, greater than one, so it lies outside the diamond. This excludes that universal positive linear realization of the mode multiplier, not every possible count dynamics.

Figure 2 shows why the non-quarter-turn Cayley phase does not automatically lift to this count rule. The test already permits nonnegative real transfer weights, a relaxation of strict integer-valued transfers, so the stated obstruction is not removed merely by allowing such weights. It depends on universality over all configurations, one fixed linear conservative rule and the specified four-phase encoding. [5]

A restricted admissible family, nonlinear count dependence, coherent additional structure, history dependence or a larger realization can change those assumptions. Each alternative needs its own physical construction and conservation, mapping and clock checks. The finite test does not exclude all MQ realizations, deny Schrödinger phenomenology or establish that nature uses this four-cell carrier. [5]

Primitive dynamics and measurement remain separate questions

The finite Hamiltonian in the numerical example is supplied. Its phase, inner product and physical time-step interpretation are also specified. Verifying its Cayley rule does not derive a microscopic count action or show which allowed primitive history induces that rule under the Frames mapping. Distinct conservative histories can share the same density or regional balance, so those observables alone need not fix the missing dynamics. [1] [3]

The public measurement account likewise distinguishes completed record assignment and ideal conditional updating from a detector-specific interaction. Unitary evolution between records, the empirical probability of a record and the physical process producing a stable record are connected requirements, but one norm identity is not a derivation of all three. [1] [3]

Chronology and reporting context

September 5, 2026 is the archive’s recorded source or audit snapshot, not an established first discovery or original announcement date. This Brief was prepared October 30, 2026 using current source wording and the archive’s later primitive-update qualification. The present upstream symmetry and coefficient discussion must not be silently backdated to every earlier draft. Journal publication of the current manuscript version is not established. [1] [5]

No new experiment is reported here. The calculations verify a chosen finite generator and a finite convexity argument. A physical test needs a specified system, calibrated action-scale regime, observable, apparatus response and uncertainty model, together with a prediction distinguishable from the established dynamics being reconstructed. [6]

For an interview, request the exact stencil, convergence conditions, self-adjoint domain, physical coefficient chain and proposed primitive update with its clock assignment. Ask which assumptions delimit the reconstruction, which are argued upstream and which additional physical data would select the realized generator. Keep numerical unitarity, conditional continuum recovery and primitive dynamical completion separate.

Research sources and further reading

  1. J. A. Geiger, Measurement Quantization: A Count-Based Resolution of the Quantum Measurement Problem. Current public manuscript, Section 3.5; Appendix E.1–E.5, especially Eqs. (E.11)–(E.20); Appendix O on coefficient provenance; Proposition 2.7 and Appendix Y on the source’s inertial-symmetry construction. Journal publication of this version is not established. Open source →
  2. Informativity Institute, Schrödinger Evolution in Measurement Quantization. Public explanation of the count-to-continuum construction, phase encoding, stated representation conditions and measurement-regime dependence of the action scale. Open source →
  3. Informativity Institute, Quantum Measurement. Public distinction between a completed contextual realization, record probabilities, ideal conditioning and detector-specific physical dynamics. Open source →
  4. D. Tong, Quantum Mechanics, Section 3: The Formalism of Quantum Mechanics, University of Cambridge lecture notes. Standard background on state space, Hamiltonians and unitary evolution, not an assessment of MQ. Open source →
  5. Informativity Institute, Count Redistribution and Schrödinger Evolution. Press archive entry, including its later qualification about universal conservative nonnegative linear rules on a four-cell cycle. The finite convexity argument is reproduced explicitly in this Brief; the archive statement is not an independent experimental result. Open source →
  6. Informativity Institute, Predictions of Measurement Quantization. Broader evidence and test context. A norm-preserving representation or a recovered established equation is distinct from an independently discriminating physical prediction. Open source →

Prepared October 30, 2026. The fixed-generator Euler–Cayley arithmetic and four-cell convexity check were reproduced. The figures are mathematical illustrations, not laboratory data or a derived primitive detector dynamics.

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