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A Mathematical Model for the Narrowing of Spectral Lines by Exchange or Motion

W. Anderson, P.·1954·Journal of the Physical Society of Japan

Abstract

In this paper a simplified mathematical model of exchange and motional narrowing, which we call the “random frequency-modulation model,” is developed, and, to a certain extent, justified. A number of cases are treated. The one general conclusion which is common to all is that in the case of extreme narrowing the central part of the line is resonance-shaped while the wings fall off more steeply than the resonance shape: the half-width is always of order of magnitude of the mean square frequency breadth divided by the rate of motion or exchange. In two cases the model makes some quantitative approach to realism: first, the case of a single dipolar-broadened line with exchange, where the “Gaussian” assumption can be made and the results have been fitted to Van Vleck's fourth moment calculation to give satisfactory numerical answers; and second, the case of narrowing by diffusion in solids, where the “Markoffian” assumption is valid. The problem of narrowing of hyperfine structure is considered, and on this model it is found that before merging the lines draw together, a result which is confirmed by experiments.

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Metadata

Authors
W. Anderson, P.
Venue
Journal of the Physical Society of Japan
Published
1954-05
Volume
9
Issue
3
Pages
316-339
ISSN
  • 0031-9015 (ISSN-L)
  • 1347-4073
OpenAlex
W2007556342
Cited by
1,425
References
0
FWCI
11.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Mathematical Model for the Narrowing of Spectral Lines by Exchange or Motion. https://app.cochat.ai/papers/10.1143/jpsj.9.316
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W. Anderson, P. (1954). A Mathematical Model for the Narrowing of Spectral Lines by Exchange or Motion. Journal of the Physical Society of Japan. https://doi.org/10.1143/jpsj.9.316

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.