Pregled bibliografske jedinice broj: 1017609
Failure of the matrix weighted bilinear Carleson embedding theorem
Failure of the matrix weighted bilinear Carleson embedding theorem // Linear algebra and its applications, 582 (2019), 452-466 doi:10.1016/j.laa.2019.08.011 (međunarodna recenzija, članak, znanstveni)
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Naslov
Failure of the matrix weighted bilinear Carleson
embedding theorem
Autori
Domelevo, Komla ; Petermichl, Stefanie ; Škreb, Kristina Ana
Izvornik
Linear algebra and its applications (0024-3795) 582
(2019);
452-466
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Matrix weight ; Bilinear embedding ; Carleson embedding theorem
Sažetak
We prove failure of the natural formulation of a matrix weighted bilinear Carleson embedding theorem, featuring a matrix–valued Carleson sequence as well as products of norms for the embedding. We show that assuming an weight is also not sufficient. Indeed, a uniform bound on the conditioning number of the matrix weight is necessary and sufficient to get the bilinear embedding. We prove the optimal dependence of the embedding on this quantity. We show that any improvement of a recent matrix weighted bilinear embedding, featuring a scalar Carleson sequence and inner products instead of norms must fail. In particular, replacing the scalar sequence by a matrix sequence results in failure even when maintaining the formulation using inner products. Any formulation using norms, even in the presence of a scalar Carleson sequence must fail. As a positive result, we prove the so–called matrix weighted redundancy condition in full generality.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Projekti:
DLV-862402
HRZZ-UIP-2017-05-4129 - Multilinearna i nelinearna harmonijska analiza i primjene (MUNHANAP) (Kovač, Vjekoslav, HRZZ ) ( CroRIS)
Ustanove:
Građevinski fakultet, Zagreb
Profili:
Kristina Ana Škreb
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus