AI summary · arXiv: 1209.5021v1 · math.CO

Canonical Forms of $2 \times 2 \times 2$ and $2 \times 2 \times 2 \times 2$ Symmetric Tensors over Prime Fields

Stavros G. Stavrou
Original paper Submitted to arXiv on 22 Sep. 2012 18 pages, 15 tables License: NONEXCLUSIVE-DISTRIB 1.0

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The essentials

  • The paper explores symmetric tensors of format $2 \times 2 \times 2$ and $2 \times 2 \times 2\times 2$ over prime fields.
  • The main objective is to compute the canonical forms of these tensors using computer algebra techniques.
  • For the $2\times2\times2$ case, prime fields $\mathbb{F}_p$, where $p = [1,3,5,7,11,13,17]$, are considered.
  • For the $4\times4\times4\times4$ case, prime fields $\mathbb{F}_p$, where $p = [1,3,5,7]$, are taken into account.
  • The author determines the canonical forms for each type of tensor using computer algebra techniques.
  • Canonical forms provide a unique representation for each tensor in its equivalence class under certain transformations.
  • This study investigates properties related to these canonical forms such as size of orbit and symmetric rank of tensors within its orbit.
  • Size of an orbit refers to the number of distinct tensors that can be transformed into a given canonical form using symmetry-preserving operations.
  • Symmetric rank measures how well a tensor can be approximated by lower-rank symmetric tensors.
  • The findings contribute to a deeper understanding of symmetric tensors and their canonical forms with applications in areas such as algebraic geometry, representation theory and computer science.

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AI-generated keywords: Symmetric Tensors Canonical Forms Prime Fields Symmetry-Preserving Operations Symmetric Rank

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In the paper "Canonical Forms of $2 \times 2 \times 2$ and $2 \times 2 \times 2 \times 2$ Symmetric Tensors over Prime Fields" by Stavros G. Stavrou, the author explores symmetric tensors of format $2 \times 2 \times 2$ and $2 \times 2 \times 2\times 2$ over prime fields. The main objective is to compute the canonical forms of these tensors using computer algebra techniques. For the $2\times2\times2$ case, the prime fields $\mathbb{F}_p$, where $p = [1,3,5,7,11,13,17]$, are considered. Similarly, for the $4\times4\times4\times4$ case, the prime fields $\mathbb{F}_p$, where $p = [1,3,5,7]$, are taken into account. Using computer algebra techniques, the author determines the canonical forms for each type of tensor. These canonical forms provide a unique representation for each tensor in its equivalence class under certain transformations. This allows for more effective analysis and comparison between different tensors. Additionally, this study investigates properties related to these canonical forms such as size of orbit and symmetric rank of tensors within its orbit. The size of an orbit refers to the number of distinct tensors that can be transformed into a given canonical form using symmetry-preserving operations while symmetric rank measures how well a tensor can be approximated by lower-rank symmetric tensors. The findings from this research contribute to a deeper understanding of symmetric tensors and their canonical forms which can have applications in various areas such as algebraic geometry, representation theory and computer science.

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