An efficient algorithm computing composition factors of T(V)^⊗ n

11/12/2017
by   Amin Saied, et al.
0

We present an algorithm that computes the composition factors of the n-th tensor power of the free associative algebra on a vector space. The composition factors admit a description in terms of certain coefficients c_λμ determining their irreducible structure. By reinterpreting these coefficients as counting the number of ways to solve certain `decomposition-puzzles' we are able to design an efficient algorithm extending the range of computation by a factor of over 750. Furthermore, by visualising the data appropriately, we gain insights into the nature of the coefficients leading to the development of a new representation theoretic framework called PD-modules.

READ FULL TEXT
research
06/01/2018

Persistence paths and signature features in topological data analysis

We introduce a new feature map for barcodes that arise in persistent hom...
research
08/15/2017

Counting Roots of Polynomials over Z/p^2Z

Until recently, the only known method of finding the roots of polynomial...
research
10/30/2018

A nearly optimal algorithm to decompose binary forms

Symmetric tensor decomposition is an important problem with applications...
research
09/21/2018

New bounds and efficient algorithm for sparse difference resultant

Let P={P_0,P_1,...,P_n} be a generic Laurent transformally essential sys...
research
10/01/2021

Decomposing Monolithic Processes in a Process Algebra with Multi-actions

A monolithic process is a single recursive equation with data parameters...
research
03/15/2018

A nonlinear transform based analog video transmission framework

Soft-cast, a cross-layer design for wireless video transmission, is prop...

Please sign up or login with your details

Forgot password? Click here to reset