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The code accompanies the article "The self-projecting Grassmannian" with Francesca Zaffalon, planned to be on arXiv by the end of the month. There will also be a database collection for oscarDB.

There are a few things that do not work yet in the functions to compute the selfprojecting_realization_matrix and selfprojecting_realization_ideal, or rather that cannot be tested, because the code doesn't terminate for relevant examples.
Questions and comments are welcome.
Tests and documentations are not yet done. I have never written tests for Oscar before, so I'd appreciate some help/advice/pointers.

AlheydisGeiger and others added 30 commits October 17, 2025 15:47
…ith a first attempt at struct and some first functions, still problems with the computation of the selfprojecting realization ideal
…alization spaces, also added a .jl file that contains the first steps towards a struct that can be used in the pending database collection
…realizations instead of the classical realizations, and adjusted the function computing the self-projecting realization space for the case that this space is empty.
… the inequations to avoid repetitions and 1, products are not excluded so far.
…ypes of some properties to allow for the case when the computation for the selfprojecting realization space did not terminate
Provide extra method for underlying_scheme.
AlheydisGeiger and others added 19 commits December 11, 2025 08:48
…mputation of the selfprojecting realization ideal
@lgoettgens
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The current documentation build failure is not your fault. It will be fixed by Nemocas/Nemo.jl#2197 soon-ish

@AlheydisGeiger AlheydisGeiger marked this pull request as ready for review December 11, 2025 09:09

julia> selfprojecting_realization_ideal(m)
┌ Warning: This function is slow except for small matroids!
└ @ Oscar ~/Documents/Oscar.jl/experimental/MatroidRealizationSpaces/src/SelfProjectingMatroids.jl:169
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these warnings are causing issues in the doctests.

I think you should avoid warnings here and add a warning in the regular part of the docs

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4 participants