Computing Invariant Spaces via Global Cluster Analysis and Representation Theory
Dang Vo Phuc

TL;DR
This paper introduces a novel global cluster analysis algorithm to compute invariant spaces related to the Singer algebraic transfer, advancing the computational methods in algebraic topology.
Contribution
It presents a new algorithm that constructs weight interaction graphs to identify invariant clusters, improving the computation of $GL_k(F_2)$-invariants in algebraic topology.
Findings
Successfully computes invariants for ranks up to 3 in specific degrees.
Provides a more complete and accurate method for invariant space calculation.
Enhances understanding of the structure of polynomial algebra modules.
Abstract
The Singer algebraic transfer is a fundamental homomorphism in algebraic topology, providing a bridge between the homology of classifying spaces and the cohomology of the Steenrod algebra , which forms the -term of the Adams spectral sequence. The domain of its dual is isomorphic to the space of -invariants in the quotient of the polynomial algebra, , where is regarded as a module over . A direct computation of this invariant space and its dual (i.e., the domain of the Singer transfer) remains a challenging problem. In this paper, we construct a new algorithm to compute , which differs from the method presented in our recent work [15]. We refer to this new approach as the Global Cluster Analysis algorithm. It builds a \emph{weight interaction…
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