- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1579-1505
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
On the spectrum of weighted shifts ; volume:117 ; number:1 ; day:10 ; month:10 ; year:2022 ; pages:1-19 ; date:1.2023
Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales / A. Serie A, Matemáticas / RACSAM / Real Academia de Ciencias Exactas, Físicas y Naturales; 117, Heft 1 (10.10.2022), 1-19, 1.2023
- Creator
-
D’Aniello, Emma
Maiuriello, Martina
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s13398-022-01328-z
- URN
-
urn:nbn:de:101:1-2022122721154959632344
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:34 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- D’Aniello, Emma
- Maiuriello, Martina
- SpringerLink (Online service)
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On the spectrum of the weighted p-Laplacian under the Ricci-harmonic flow
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On the problem of prescribing weighted scalar curvature and the weighted Yamabe flow
On variance estimation under shifts in the mean
On scale estimation under shifts in the mean
Disjoint diskcyclicity of weighted shifts
Mean Ergodic Weighted Shifts on Köthe Echelon Spaces
A Subnormal Completion Problem for Weighted Shifts on Directed Trees, II
On the spectrum of the weighted p-Laplacian under the Ricci-harmonic flow
Weighted integral Hankel operators with continuous spectrum
Weighted Shifts on Directed Semi-Trees: an Application to Creation Operators on Segal–Bargmann Spaces
Approximation of seismic velocities from the spectrum of weighted graphs
SHIFTS ON BANACH SPACES
Compact differences of weighted composition operators on the weighted Bergman spaces
On the problem of prescribing weighted scalar curvature and the weighted Yamabe flow
On variance estimation under shifts in the mean