On the preferred-basis problem and its possible solutions
Bruno Galvan

TL;DR
The paper distinguishes two related problems in quantum mechanics and argues that permanent spatial decomposition (PSD) offers a more complete solution to the preferred-decomposition problem than decoherence, which is insufficient alone.
Contribution
It clarifies the distinction between preferred-decomposition and preferred-representation problems and advocates PSD as a promising solution over decoherence.
Findings
Decoherence alone does not fully solve the preferred-decomposition problem.
PSD involves three phases: microscopic decomposition, amplification, and environmental interaction.
PSD provides a simple, non-elusive solution to the preferred-decomposition problem.
Abstract
The preferred basis problem is mentioned in the literature in connection with the measurement problem and with the Many World Interpretation. It is argued that this problem actually corresponds to two inequivalent problems: (i) the preferred-decomposition problem, i.e., what singles out a preferred decomposition of a suitable state vector of a system as the sum of a finite or countable set of vectors?, and (ii) the preferred-representation problem, i.e., what singles out a preferred representation for the Hilbert space of a system? In this paper the preferred-decomposition problem is addressed and two processes, namely decoherence and permanent spatial decomposition (PSD), are examined and compared as possible solutions to this problem. It is shown that, perhaps contrary to common belief, in realistic situations decoherence is not sufficient to solve the preferred-decomposition problem.…
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Taxonomy
TopicsQuantum Mechanics and Applications · Molecular spectroscopy and chirality · Spectroscopy and Quantum Chemical Studies
