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Response Reduction in Hilbert Spaces: Hidden-Sector Geometry and Singular Regimes

Paweł Nowak, Maciej Stachowiak

Published Oct 26, 2026• 0 citations
Publisher

Abstract

Eliminating hidden degrees of freedom is often treated as a straightforward substitution problem. In infinite-dimensional systems, however, an effective response may remain well defined even when no hidden state realizes the corresponding extremal value, and several notions that coincide in finite dimensions can separate. This work develops an operator-theoretic framework for response reduction in Hilbert spaces that keeps these distinctions explicit. It studies hidden-sector elimination, singular limits, complex response correlations, and the relation between energetic and oriented reductions without assuming that conventional inverse or pseudoinverse formulas remain available. The framework also addresses approximation and regularization. Finite-dimensional truncations, singular hidden sectors, and successive reductions are compared at the operator level in order to determine which parts of the effective response remain stable and which require additional geometric information. The resulting picture separates effective value, attainability, solvability, orientation, and correlation structure. In infinite dimensions these are genuinely different layers of information, and a reduced description that preserves only one of them can miss features that survive in the full response.

DOI
10.5281/zenodo.23661339

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Eliminating hidden degrees of freedom is often treated as a straightforward substitution problem. In infinite-dimensional systems, however, an effective response may remain well defined even when no hidden state realizes the corresponding extremal value, and several notions that coincide in finite dimensions can separate. This work develops an operator-theoretic framework for response reduction in Hilbert spaces that keeps these distinctions explicit. It studies hidden-sector elimination, singular limits, complex response correlations, and the relation between energetic and oriented reductions without assuming that conventional inverse or pseudoinverse formulas remain available. The framework also addresses approximation and regularization. Finite-dimensional truncations, singular hidden sectors, and successive reductions are compared at the operator level in order to determine which parts of the effective response remain stable and which require additional geometric information. The resulting picture separates effective value, attainability, solvability, orientation, and correlation structure. In infinite dimensions these are genuinely different layers of information, and a reduced description that preserves only one of them can miss features that survive in the full response.
The analysis of an open quantum system can be by far difficult if the dimension of the system Hilbert space is large or infinite. However, in some cases the dynamics on a finite-dimensional Hilbert space can be decomposed into a block-diagonal form, which simplifies the system structure. In this presentation, we will study several criteria for the complete reducibility and, in addition, a computational method for a basis of each simplified component to apply for the analysis of open quantum systems. An important point of these tools is that they are “effective” methods (one can complete the task in a finite number of steps).
Effective descriptions are usually constructed after separating a system into observable and hidden sectors. When this decomposition itself varies with time or with an external parameter, ordinary differentiation mixes changes of the full operator with changes caused purely by the motion of the underlying subspaces. This work develops a covariant theory of response reduction for moving subspaces of a Hilbert space. Geometric transport is combined with operator reduction so that intrinsic variation of the system can be distinguished from variation induced by the moving visible–hidden splitting. The reduced response is then followed beyond a single instant, retaining information carried by its accumulated history. The analysis separates endpoint response, path-dependent correlations, and geometric memory. These objects need not determine one another. Singular transitions in the effective carrier and regulated families approaching such transitions are also incorporated into the same framework. The central conclusion is that an instantaneous reduced operator contains less information than the process by which it was obtained. Correlations between different stages of the evolution and geometric memory of the moving subspace remain invisible to purely local or scalar descriptions.
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This paper studies what can and cannot be inferred about cross-sector dynamics when two heterogeneous systems project onto the same quadratic carrier (A^2+B^2=1). Using a block-operator framework, it shows that norm preservation forces the familiar skew-adjoint exchange structure[\mathcal G=\begin{pmatrix}\mathcal A & -\mathcal C^\dagger\\mathcal C & \mathcal D\end{pmatrix},]but leaves the cross-sector map (\mathcal C) otherwise unconstrained. The singular-value spectrum of (\mathcal C) provides the natural mode-resolved description of transmission, with zero singular values defining dark modes and nonzero singular values determining transmitted channels. The paper further characterizes reduced survival through observability of the pair ((\pi,\mathcal G)), gives an exact closure criterion for projected dynamics, and shows how compression of conservative evolution can produce apparent contraction and, after elimination of hidden degrees of freedom, non-Markovian memory. The central result is a non-identifiability theorem: the shared carrier relation together with the reduced scalar functionals (F_Q=B) and (F_G=2AB) contains no information about the cross-sector operator (\mathcal C). Infinitely many non-unitarily-equivalent cross-operators, with different ranks, kernels, and singular-value spectra, reproduce the same reduced carrier observables. The double-angle relation is shown to be an elementary squaring or Bloch-sphere map and does not impose an intertwining condition between the sectors. An application audit of the Dirac-occupation and relativistic-kinematic reduction concludes that the reduction is too severe to determine, and in its present form too asymmetric in state-space structure even to host, a well-posed cross-sector coupling operator. The paper’s contribution is therefore delineative rather than constructive: shared reduced geometry constrains observables, but dynamical laws, transmission spectra, memory, and cross-sector operators require independent structure beyond the carrier.
We investigate the information retained after eliminating hidden degrees of freedom from a finite-dimensional positive-definite Hermitian operator. A single energy-dependent elimination signature connects orthogonal residual geometry, linear innovation, Feshbach–Schur reduction, resolvent response, and dynamical memory. Its value at zero determines the minimum energy after elimination, while its negative first derivative is the Gram matrix of the full-state reconstruction. The main result solves an extremal problem over all positive realizations sharing the same signature value, first derivative, and known lower spectral threshold of the hidden block. We construct a minimal canonical realization that saturates a matrix-valued lower bound throughout the subthreshold energy interval. We determine the exact minima and suprema of the first indexed eigenvalues, allowing arbitrary finite hidden dimensions. All lower minima are attained simultaneously by one realization, while a single family approaches all upper suprema. Operator equality with the extremal bound at one energy enforces the entire extremal signature. The deviation from this bound controls the high-energy component of the static reconstruction and satisfies optimal comparisons across energies. The full signature identifies the active hidden realization up to unitary equivalence, whereas first-order data determine only its minimum required dimension. Noncommuting and three-mode examples demonstrate the benefit of retaining complete matrix information and distinguish reduced visible-state weight from destructive interference in a fixed spectral readout.
Programmable quantum simulators are beginning to access correlators of increasing complexity, ranging from four-point out-of-time-ordered correlators to even higher-order many-body correlators. The theoretical framework for interpreting such data, however, remains comparatively underdeveloped. Although a variety of higher-order correlators can be constructed straightforwardly, their physical meaning is often difficult to infer. A further complication is that different correlators are generally not independent: some may be mutually redundant, while others may encode genuinely distinct information. These features make it necessary to analyze correlators not as isolated quantities, but as a structured family. In this work, we develop a geometric framework for the collective analysis of higher-order correlator families. By representing correlators as inner products between operator words, we recast each family as a geometry in operator space. The key idea is to introduce conditioning subspaces that separate this geometry into reducible information, already explained by a chosen resolved sector, and irreducible information, encoded in the residual correlator geometry. Focusing on the latter component, we define irreducible volume profiles that quantify how broadly the unexplained part of a correlator family spreads over independent geometric directions. This perspective leads to several complementary forms of conditioning. Canonical conditioning optimally explains a correlator family. Targeted conditioning fixes the resolved sector to isolate a chosen physical feature. Krylov and cross conditioning extend the framework from a single correlator family to comparisons among correlator geometries. Our framework reveals irreducible structures hidden at the level of individual correlator values and establishes correlator geometry as a higher-level description of quantum many-body dynamics.