Markovian exchange phenomena in magnetic resonance and the Lindblad equation

被引:8
作者
Bengs, Christian [1 ]
机构
[1] Southampton Univ, Sch Chem, Univ Rd, Southampton SO17 1BJ, Hants, England
基金
英国工程与自然科学研究理事会;
关键词
Relaxation theory; Chemical exchange; Translational diffusion; Master equation; Lindblad equation; CHARACTERIZING CHEMICAL-EXCHANGE; INTERACTING NUCLEAR SPINS; DYNAMIC NMR-SPECTRA; 2-DIMENSIONAL NMR; RELAXATION; MACROMOLECULES; INTERDOMAIN; PARAMETERS; DIFFUSION; LANGEVIN;
D O I
10.1016/j.jmr.2020.106868
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Nuclear Magnetic Resonance (NMR) experiments involve coherent and incoherent dynamics. Incoherent dynamics give rise to nuclear spin relaxation typically accounted for by a differential equation known as a quantum master equation. Out of the existing master equations the Lindblad equation is particularly important. A central theorem of open quantum theory states that a relaxation process represents a quantum Markovian process if and only if it can be described by a Lindblad master equation. This in turn raises serious questions regarding the compatibility of conventional NMR relaxation theory and one of the most fundamental results of open quantum theory. The NMR treatment of important Markovian relaxation mechanisms such as Brownian motion or chemical exchange events do in general not result in a master equation in Lindblad form and would therefore be at odds with the mathematically rigorous theory of open quantum systems. We explore this apparent conflict for two important chemical exchange phenomena and show that their conventional treatment may be recast into a suitable Lindblad equation. Similarities between spatial diffusion and multi-site exchange events allow us to extend our results to nuclear spin relaxation due to translational diffusion. As a result we are able to show that the NMR treatment of intramolecular exchange and translational diffusion represent valid quantum Markovian processes compatible with the rigorous definitions of open quantum theory. (C) 2020 The Author(s). Published by Elsevier Inc.
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页数:12
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