We propose an algorithm to compute power sum decompositions, which are motivated by applications in algebraic statistics. Power sum decomposition entails writing forms of degree $d \cdot k$ as a sum of $d$th powers of $k$-forms. We show that under certain assumptions, the power sum problem for $k$-forms can be reduced to the classical case of power sums of linear forms. Semidefinite programming is used to perform this reduction. The semidefinite programming approach allows us to improve the currently best known rank bounds for the problem from $m= \mathscr{O}(n/log(n))$ to $m= n-1$, in a typical case. An implementation of the algorithm is provided. We complement the theoretical analysis with numerical experiments.

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doi.org/10.1137/23M1573355
SIAM Journal on Applied Algebra and Geometry
Optimization for and with Machine Learning
Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands

Taveira Blomenhofer, F. A. (2025). On uniqueness of power sum decomposition. SIAM Journal on Applied Algebra and Geometry, 9(1), 211–234. doi:10.1137/23M1573355