2014
DOI: 10.1016/j.aim.2014.07.010
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Skew Calabi–Yau algebras and homological identities

Abstract: Abstract. A skew Calabi-Yau algebra is a generalization of a Calabi-Yau algebra which allows for a non-trivial Nakayama automorphism. We prove three homological identities about the Nakayama automorphism and give several applications. The identities we prove show (i) how the Nakayama automorphism of a smash product algebra A#H is related to the Nakayama automorphisms of a graded skew Calabi-Yau algebra A and a finite-dimensional Hopf algebra H that acts on it; (ii) how the Nakayama automorphism of a graded twi… Show more

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Cited by 118 publications
(181 citation statements)
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“…This idea was formalized recently in [25]. On the other hand, (skew) Calabi-Yau algebras need not be graded.…”
Section: Skew Calabi-yau Algebrasmentioning
confidence: 99%
“…This idea was formalized recently in [25]. On the other hand, (skew) Calabi-Yau algebras need not be graded.…”
Section: Skew Calabi-yau Algebrasmentioning
confidence: 99%
“…As a result, A q,Γ n (K) is strongly cancellative and cancellative. ✷ Recall from [25,29] that a K−algebra A is called µ−twisted (or skew) Calabi-Yau of dimension d, where µ is a K−algebra automorphism of A and d ∈ Z ≥0 , provided that…”
Section: Multiparameter Quantized Weyl Algebras Of "Symmetric Type"mentioning
confidence: 99%
“…Smash products have also appeared as a means of untwisting, or unbraiding, certain twisted structures. For example, one can untwists a twisted Calabi-Yau algebra with a smash product [12,6], or unbraid a braided Hopf algebra [3,Section 1.5]. In a more classical context, smash products have played an integral role in a classification program proposed by Andruskiewitsch and Schneider, which began at [2].…”
Section: Introductionmentioning
confidence: 99%
“…If we let Z = φ act on k q [x, y] by the automorphism φ : x → q −1 x, y → qy, then, according to [12,Proposition 7.3] and [6], the smash product k q [x, y]#Z will be Calabi-Yau. By way of Theorem 6.5, we can provide the following computation.…”
Section: Introductionmentioning
confidence: 99%