Spectral Decomposition
Spectral Decomposition is a mathematical method in operator theory that uniquely represents a normal operator on a Hilbert space as an integral of projection-valued measures with respect to its spectrum.
2.3K
Publications
117.5K
Citations
4.5K
Authors
1.6K
Institutions
Publications per year
2017–2026
399
2.3K
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Centre National de la Recherche Scientifique
Paris, France
32 h-index
125 publications
6.3K citations
California Institute of Technology
Pasadena, United States
23 h-index
46 publications
5.5K citations
University of California San Diego
San Diego, United States
20 h-index
32 publications
3.5K citations
The University of Texas at Austin
Austin, United States
17 h-index
40 publications
1.6K citations
University of Oklahoma
Norman, United States
16 h-index
43 publications
2.5K citations
The University of Tokyo
Tokyo, Japan
16 h-index
37 publications
1.5K citations
Technion – Israel Institute of Technology
Haifa, Israel
16 h-index
29 publications
1.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
16 h-index
37 publications
1.7K citations
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77 publications · 2.6K citations
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62 publications · 2.4K citations
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TRAN · 42 publications · 2.2K citations
24
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59 publications · 1.7K citations
24
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34 publications · 1.2K citations
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