Other Applications
Marlos A. G. Viana and
Vasudevan Lakshminarayanan
Additional contact information
Marlos A. G. Viana: University of Illinois at Chicago, Eye Center
Vasudevan Lakshminarayanan: University of Waterloo School of Optometry University Ontario
Chapter Chapter 6 in Dihedral Fourier Analysis, 2013, pp 87-112 from Springer
Abstract:
Abstract In this chapter we outline an application of the Fourier transform in the selection of the so-called normal modes in molecular spectroscopy, e.g., [15, p. 138], [16, p.184]. Although the Fourier transforms appear, implicitly, in [17, p.239], their usefulness in sorting out the distinct vibrational modes is not made explicit. The need for a detailed analysis of the modes comes from the fact that a typical action of a space group on the molecular framework is not transitive. Therefore, the irreducible representations appear with extramultiplicities in the factorization of the space group representation. By isolating the symmetry orbits, and thus retaining the transitivity, the separation of the modes appearswith less effort. The joint vibrational scheme is then obtaining by matching the transforms according to the irreducible representations.
Keywords: Irreducible Representation; Fundus Image; Mass Displacement; Mueller Matrix; Jones Matrice (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-5562-2_6
Ordering information: This item can be ordered from
http://www.springer.com/9781461455622
DOI: 10.1007/978-1-4614-5562-2_6
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().