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Adinkra Isomorphisms and `Seeing' Shapes with Eigenvalues
High Energy Physics - Theory · Submitted 12 Dec 2012
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim We create an algorithm to determine whether any two graphical representations (adinkras) of equations possessing the property of supersymmetry in one or two dimensions are isomorphic in shape.
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The abstract, sentence by sentence
We create an algorithm to determine whether any two graphical representations (adinkras) of equations possessing the property of supersymmetry in one or two dimensions are isomorphic in shape. The algorithm is based on the determinant of `permutation matrices' that are defined in this work and derivable for any adinkra.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | We create an algorithm to determine whether any two graphical representations (adinkras) of equations possessing the property of supersymmetry in one or two dimensions are isomorphic in shape. | contribution 1.00 | 0.95 | 0.35 | asserted 1.00 |
| s1 | The algorithm is based on the determinant of `permutation matrices' that are defined in this work and derivable for any adinkra. | method 0.99 | 0.91 | 0.12 | asserted 1.00 |
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The paper
Original abstract
We create an algorithm to determine whether any two graphical representations (adinkras) of equations possessing the property of supersymmetry in one or two dimensions are isomorphic in shape. The algorithm is based on the determinant of `permutation matrices' that are defined in this work and derivable for any adinkra.
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References
How the literature uses it
3 arXiv papers cite this in 9 sentences
Papers citing it · 5 sentences without a confident label
Compares with it 1 paper
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Our new method has the benefit of categorizing raised-node adinkras in a way that is manifestly color-independent, or supersymmetric charge-independent, in contrast to the methods of [ref] which are manifestly color-dependent.
Adinkra Height Yielding Matrix Numbers: Eigenvalue Equivalence Classes for Minimal Four-Color Adinkras · HYMNs: Height Yielding Matrix Numbers · 0.92
Cites it as background 1 paper
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In the works of [ref] two apparently distinct approaches were presented as a way to characterize the shape of non-valise adinkras.
Adinkra Height Yielding Matrix Numbers: Eigenvalue Equivalence Classes for Minimal Four-Color Adinkras · HYMNs: Height Yielding Matrix Numbers · 0.92
What it cites · 1 sentence without a confident label
Compares with 1 paper
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Furthermore, despite the comparative inefficiency of this algorithm compared to [ref] the algorithm is much more computer friendly, and can be computed with parallel processors saving even more time in the process.
Automorphism Properties of Adinkras · Conclusion · 1.00
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