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Finite-Dimensional and Infinite-Dimensional Quantum State Spaces: Two Fundamentally Different Forms of Continuity

ming Cheng

Published Mar 14, 2026• 0 citations
Publisher

Abstract

This work analyzes the fundamental distinction between finite-dimensional quantum systems and infinite-dimensional wavefunction systems. It introduces three mathematically independent notions of dimension—linear dimension, parameter dimension, and degree-of-freedom dimension—and shows that finite-dimensional systems are “triple-finite,” while wavefunction systems such as L^2(R) are “triple-infinite.” The paper distinguishes geometric continuity on finite-dimensional projective manifolds (e.g., the Bloch sphere) from structural continuity arising from the uncountable degrees of freedom of continuous configuration spaces. It further explains why infinite-dimensional systems cannot be reduced to finite-dimensional ones, drawing on functional analysis, spectral theory, and the properties of unbounded operators. Intermediate systems such as L^2([0,L]) and the extension to quantum field theory are also discussed, illustrating how spatial topology shapes spectral and dynamical behavior. The framework clarifies the categorical difference between finite- and infinite-dimensional quantum state spaces and highlights their complementary roles in quantum theory. 本文系统分析了有限维量子系统与无限维波函数系统之间的根本差异。文章提出三种彼此独立的“维度”概念——线性维度、参数维度与自由度维度,并指出有限维系统是“三重有限”,而波函数系统(如 L^2(R))是“三重无限”。有限维系统的连续性来自射影流形的几何结构(如 Bloch 球),而无限维系统的连续性来自连续构型空间所带来的不可数自由度。文章进一步利用泛函分析与谱理论论证了无限维系统对有限维系统的不可约化性,并讨论了中间系统 L^2([0,L]) 以及量子场论中的更高层次结构连续性。该框架揭示了有限维与无限维量子态空间在范畴上的本质差异,并说明它们在量子理论中所扮演的互补角色。

DOI
10.5281/zenodo.19018384

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海森堡不确定性原理的来源: 物理世界的无限维结构与其数学呈现; The Origin of Heisenberg's Uncertainty Principle: The Infinite-Dimensional Structure of the Physical World and Its Mathematical Representation

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本文从物理本体论出发,提出海森堡不确定性原理的统一结构性解释。量子态具有波动性、非局域性与相干性,其本体论结构天然呈现为不可数无限维的函数空间。无限维结构在数学上以希尔伯特空间、乘法与微分算符的非对易性、傅里叶变换的展宽性质以及辛几何的最小相空间面积等形式表现出来。 本文提出不确定性原理的四层结构根源:代数层的有限维不可能性、分析层的无限维不对易性、函数层的傅里叶展宽必然性、以及几何层的辛结构不可压缩性。最终揭示:不确定性原理不是数学形式的偶然产物,而是物理世界无限维结构在数学中的必然呈现。 This work develops a unified ontological account of the origin of Heisenberg’s uncertainty principle. Quantum states possess wave-like, nonlocal, and coherent properties, and their intrinsic structure is that of an uncountably infinite-dimensional function space. This infinite-dimensional nature manifests mathematically through Hilbert space, the non-commutativity of multiplication and differentiation operators, the Fourier-induced broadening between position and momentum, and the symplectic geometry of phase space with its minimal area elements. The paper identifies four structural roots of the uncertainty principle: (1) the algebraic impossibility of realizing canonical commutation relations in finite dimensions, (2) the analytic necessity of non-commutativity in infinite dimensions, (3) the functional necessity of Fourier broadening, and (4) the geometric necessity of symplectic incompressibility. The uncertainty principle thus emerges not as a mathematical artifact, but as the natural mathematical expression of the infinite-dimensional structure of the physical world. This work proposes a unified structural and ontological framework for understanding the uncertainty principle, integrating algebraic, analytic, functional, and geometric layers into a single explanatory chain.

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This work analyzes the fundamental distinction between finite-dimensional quantum systems and infinite-dimensional wavefunction systems. It introduces three mathematically independent notions of dimension—linear dimension, parameter dimension, and degree-of-freedom dimension—and shows that finite-dimensional systems are “triple-finite,” while wavefunction systems such as L^2(R) are “triple-infinite.” The paper distinguishes geometric continuity on finite-dimensional projective manifolds (e.g., the Bloch sphere) from structural continuity arising from the uncountable degrees of freedom of continuous configuration spaces. It further explains why infinite-dimensional systems cannot be reduced to finite-dimensional ones, drawing on functional analysis, spectral theory, and the properties of unbounded operators. Intermediate systems such as L^2([0,L]) and the extension to quantum field theory are also discussed, illustrating how spatial topology shapes spectral and dynamical behavior. The framework clarifies the categorical difference between finite- and infinite-dimensional quantum state spaces and highlights their complementary roles in quantum theory. 本文系统分析了有限维量子系统与无限维波函数系统之间的根本差异。文章提出三种彼此独立的“维度”概念——线性维度、参数维度与自由度维度,并指出有限维系统是“三重有限”,而波函数系统(如 L^2(R))是“三重无限”。有限维系统的连续性来自射影流形的几何结构(如 Bloch 球),而无限维系统的连续性来自连续构型空间所带来的不可数自由度。文章进一步利用泛函分析与谱理论论证了无限维系统对有限维系统的不可约化性,并讨论了中间系统 L^2([0,L]) 以及量子场论中的更高层次结构连续性。该框架揭示了有限维与无限维量子态空间在范畴上的本质差异,并说明它们在量子理论中所扮演的互补角色。
Continuous degrees of freedom The quantum systems we have discussed so far have been described by finite-dimensional Hilbert spaces. Basic measurements on such systems have a finite number of possible outcomes, and a quantum state predicts a discrete probability distribution over these. Now we wish to extend our theory to handle systems with one or more continuous degrees of freedom, such as the position of a particle that can move in one dimension. This will require an extension of our theory to Hilbert spaces of infinite dimension, and to systems with continuous observables. There is a philosophical issue here. How do we know that there really are infinitely many distinct locations for a particle? The short answer is, we don't. It might be that space itself is both discrete (at the tiniest scales) and bounded (at the largest), so that the number of possible locations of a particle is some very large but finite number. If this is the case, then the continuum model for space is nothing more than a convenient approximation. Infinity is just a simplified way of describing a quantity that is immense, but still finite. In this section, we will adopt this view of infinity. We will imagine that any continuous variable is really an approximation of a “true” discrete variable. This idea will motivate the continuous quantities and operations that we need.
Weyl's formulation of quantum mechanics opened the possibility of studying the dynamics of quantum systems both in infinite-dimensional and finite-dimensional systems. Based on Weyl's approach, generalized by Schwinger, a self-consistent theoretical framework describing physical systems characterised by a finite-dimensional space of states has been created. The used mathematical formalism is further developed by adding finite-dimensional versions of some notions and results from the continuous case. Discrete versions of the continuous Gaussian functions have been defined by using the Jacobi theta functions. We continue the investigation of the properties of these finite Gaussians by following the analogy with the continuous case. We study the uncertainty relation of finite Gaussian states, the form of the associated Wigner quasi-distribution and the evolution under free-particle and quantum harmonic oscillator Hamiltonians. In all cases, a particular emphasis is put on the recovery of the known continuous-limit results when the dimension ddd of the system increases.
Weyl's formulation of quantum mechanics opened the possibility of studying the dynamics of quantum systems both in infinite-dimensional and finite-dimensional systems. Based on Weyl's approach, generalized by Schwinger, a self-consistent theoretical framework describing physical systems characterized by a finite-dimensional space of states has been created. The used mathematical formalism is further developed by adding finite-dimensional versions of some notions and results from the continuous case. Discrete versions of the continuous Gaussian functions have been defined by using the Jacobi theta functions. We continue the investigation of the properties of these finite Gaussians by following the analogy with the continuous case. We study the uncertainty relation of finite Gaussian states, the form of the associated Wigner quasi-distribution and the evolution under free-particle and quantum harmonic oscillator Hamiltonians. In all cases, a particular emphasis is put on the recovery of the known continuous-limit results when the dimension d of the system increases.
An examination of the postulates of quantum mechanics reveals a number of fundamental mathematical constructs that form its theoretical underpinnings. Many of the results that are summarized in this Chapter will only become clear after reading the rest of the book and a re-reading may be in order. The dynamical variables of classical mechanics are superseded by the quantum degree of freedom. An exhaustive and complete description of the indeterminate degree of freedom is given by its state function, which is an element of a state space that, in general, is an infinite-dimensional linear vector space. The properties of the indeterminate degree of freedom are extracted from its state vector by the linear action of operators representing experimentally observable quantities. Repeated applications of the operators on the state function yield the average value of the operator for the state [Baaquie (2013e)]. The conceptual framework of quantum mechanics is discussed in Section 2.1. The concepts of degree of freedom, state space and operators are briefly reviewed in Sections 2.3–2.5. Three distinct formulations of quantum mechanics emerge from the superstructure of quantum mechanics and these are briefly summarized in Sections 2.7–2.9. The Copenhagen quantum postulate The Copenhagen interpretation of quantum mechanics, pioneered by Niels Bohr and Werner Heisenberg, provides a conceptual framework for the interpretation of the mathematical constructs of quantum mechanics and is the standard interpretation that is followed by the majority of practicing physicists [Stapp (1963), Dirac (1999)].
There is a powerful mathematical method for simulating quantum dynamics that goes beyond finite qubit representations called infinite-dimensional Hamiltonian systems. These systems make it possible to describe quantum fields, open quantum systems, and hybrid designs more accurately by simulating unbounded operators, spectral decompositions, and continuous-variable interactions. Quantum algorithms for partial differential equations, many-body physics, and error-tolerant models of infinite Hilbert spaces are all areas where they are useful. Adding Hamiltonians with infinite dimensions to computer systems makes it possible to use both classical approximation and quantum hardware. This method makes it easier to scale up, improves accuracy when dynamics aren’t simple, and sets the stage for more advanced robust quantum computing models in chemistry, information sciences, and physics.
本文从物理本体论出发,提出海森堡不确定性原理的统一结构性解释。量子态具有波动性、非局域性与相干性,其本体论结构天然呈现为不可数无限维的函数空间。无限维结构在数学上以希尔伯特空间、乘法与微分算符的非对易性、傅里叶变换的展宽性质以及辛几何的最小相空间面积等形式表现出来。 本文提出不确定性原理的四层结构根源:代数层的有限维不可能性、分析层的无限维不对易性、函数层的傅里叶展宽必然性、以及几何层的辛结构不可压缩性。最终揭示:不确定性原理不是数学形式的偶然产物,而是物理世界无限维结构在数学中的必然呈现。 This work develops a unified ontological account of the origin of Heisenberg’s uncertainty principle. Quantum states possess wave-like, nonlocal, and coherent properties, and their intrinsic structure is that of an uncountably infinite-dimensional function space. This infinite-dimensional nature manifests mathematically through Hilbert space, the non-commutativity of multiplication and differentiation operators, the Fourier-induced broadening between position and momentum, and the symplectic geometry of phase space with its minimal area elements. The paper identifies four structural roots of the uncertainty principle: (1) the algebraic impossibility of realizing canonical commutation relations in finite dimensions, (2) the analytic necessity of non-commutativity in infinite dimensions, (3) the functional necessity of Fourier broadening, and (4) the geometric necessity of symplectic incompressibility. The uncertainty principle thus emerges not as a mathematical artifact, but as the natural mathematical expression of the infinite-dimensional structure of the physical world. This work proposes a unified structural and ontological framework for understanding the uncertainty principle, integrating algebraic, analytic, functional, and geometric layers into a single explanatory chain.