Random Vector Representation of Continuous Functions and Its Applica-tions in Quantum Mechanics
Hong-Xing Li, Wei Zhou, Hong-Hai Mi

TL;DR
This paper establishes a novel connection between continuous functions and random vectors, providing a new perspective for function approximation and unifying classical and quantum mechanics through probabilistic representations.
Contribution
It introduces the random vector representation of continuous functions and applies this framework to unify classical and quantum mechanics, revealing wave characteristics of macroscopic objects.
Findings
Random vectors can uniformly approximate continuous functions.
The approach unifies classical and quantum mechanics.
Mass point motion exhibits wave-like properties, termed wave-mass-point duality.
Abstract
The relation between continuous functions and random vectors is revealed in the paper that the main meaning is described as, for any given continuous function, there must be a sequence of probability spaces and a sequence of random vectors where every random vector is defined on one of these probability spaces, such that the sequence of conditional mathematical expectations formed by the random vectors uniformly converges to the continuous function. This is random vector representation of continuous functions, which is regarded as a bridge to be set up between real function theory and probability theory. By means of this conclusion, an interesting result about function approximation theory can be got. The random vectors representation of continuous functionsis is of important applications in physics. Based on the conclusion, if a large proportion of certainty phenomena can be described…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Physics and Python Applications · Scientific Research and Discoveries · Chaos-based Image/Signal Encryption
