Pith. sign in

REVIEW 3 cited by

Poisson algebras and symmetric Leibniz bialgebra structures on oscillator Lie algebras

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2003.12608 v1 pith:I4Y57AXD submitted 2020-03-27 math.RA

classification math.RA
keywords oscillatoralgebraalgebrasbialgebrastructuresleibnizsymmetricpoisson
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Oscillator Lie algebras are the only non commutative solvable Lie algebras which carry a bi-invariant Lorentzian metric. In this paper, we determine all the Poisson structures, and in particular, all symmetric Leibniz algebra structures whose underlying Lie algebra is an oscillator Lie algebra. We give also all the symmetric Leibniz bialgebra structures whose underlying Lie bialgebra structure is a Lie bialgebra structure on an oscillator Lie algebra. We derive some geometric consequences on oscillator Lie groups.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression

    cs.DB 2024-12 conditional novelty 6.0 of 10

    QPET attaches Taylor-based and probabilistic per-value error bounds to existing lossy compressors, preserving quantities of interest with better compression ratio and throughput than prior QoI-preserving methods.

  2. Parallelizing the Computation of Robustness for Measuring the Strength of Tuples

    cs.DB 2024-12 conditional novelty 5.0 of 10

    Known parallel skyline partitioning strategies can be adapted to compute grid resistance, with Sliced partitioning giving the most stable speedups across datasets.

  3. Optimization Strategies for Parallel Computation of Skylines

    cs.DB 2024-11 conditional novelty 5.0 of 10

    Parallel skyline computation can be sped up by sharing strong tuples across partitions and replacing the final sequential cleanup with a parallel pass.

Pith tools