The Galois-width conjecture for Gaussian-mixture moment maps
The Galois-width conjecture for Gaussian-mixture moment maps
Let be the moment map for a -component Gaussian mixture model using the first moments, and let denote the Galois width of the corresponding branched cover. For every integer ,
Galois-width conjecture.
The statement refines algebraic identifiability by predicting that the Galois width of the -moment map is its degree divided by the label-swapping factor . The surrounding discussion says that algebraic identifiability is known, while the related rational-identifiability statement for moments remains open; it does not provide a resolution of this Galois-width equality.
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Sources & referencesView supporting material
Primary source
Timothy Duff, “A Galois-Theoretic Complexity Measure for Solving Systems of Algebraic Equations”, arXiv:2503.17884 (2025).
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