Quick Navigation
Topics
Open Quantum Systems Decoherence
Quantum, Stochastic, and Classical Dynamics Within A Single Geometric Framework
arXiv
Authors: Partha Ghose
Year
2025
Paper ID
17802
Status
Preprint
Abstract Read
~2 min
Abstract Words
122
Citations
N/A
Abstract
Nelson's stochastic mechanics links quantum mechanics to an underlying Brownian motion with the identification hbar = mσ. Ghose's interpolating equation introduces a continuous parameter λ that suppresses the quantum potential Q[ψ] and yields a smooth transition between quantum $λ=0$ and classical $λ=1$ regimes. In this short note, we show that the Koopman--von Neumann (KvN) Hilbert-space formulation of classical mechanics emerges naturally as the λ→ 1 limit of this stochastic σ--λ hierarchy. The KvN phase-space amplitude provides an operator representation of the classical Liouville equation, while the λ parameter acts as a projection flow from the complex projective Hilbert manifold mathbb{C}Pn to its classical quotient mathbb{C}P^*/U(1), implementing phase superselection. This unified picture links quantum, stochastic, and classical dynamics within a single continuous framework.
Why This Paper Matters
- This paper contributes to the Open Quantum Systems & Decoherence research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- Nelson's stochastic mechanics links quantum mechanics to an underlying Brownian motion with the identification hbar = mσ.
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.