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Research PaperResearchia:202602.25058

GAP Measures and Wave Function Collapse

Roderich Tumulka

Abstract

GAP measures (also known as Scrooge measures) are a natural class of probability distributions on the unit sphere of a Hilbert space that come up in quantum statistical mechanics; for each density matrix $ρ$ there is a unique measure GAP$_ρ$. We describe and prove a property of these measures that was not recognized so far: If a wave function $Ψ$ is GAP$_ρ$ distributed and a collapse occurs, then the collapsed wave function $Ψ'$ is again GAP distributed (relative to the appropriate $ρ'$). This f...

Submitted: February 25, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

GAP measures (also known as Scrooge measures) are a natural class of probability distributions on the unit sphere of a Hilbert space that come up in quantum statistical mechanics; for each density matrix ρρ there is a unique measure GAPρ_ρ. We describe and prove a property of these measures that was not recognized so far: If a wave function ΨΨ is GAPρ_ρ distributed and a collapse occurs, then the collapsed wave function Ψ′Ψ' is again GAP distributed (relative to the appropriate ρ′ρ'). This fact applies to collapses due to a quantum measurement carried out by an observer, as well as to spontaneous collapse theories such as CSL or GRW. More precisely, it is the conditional distribution of Ψ′Ψ', given the measurement outcome (respectively, the noise in CSL or the collapse history in GRW), that is GAPρ′_{ρ'}.


Source: arXiv:2602.19993v1 - http://arxiv.org/abs/2602.19993v1 PDF: https://arxiv.org/pdf/2602.19993v1 Original Link: http://arxiv.org/abs/2602.19993v1

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Date:
Feb 25, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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