Cross product between vecter and tensor

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SUMMARY

The discussion focuses on the mathematical definition of the cross product between a vector and a rank two tensor. The formula provided, (x × T)_{iβ} = ε_{ijk} x_j T_{kβ}, is derived from established tensor algebra principles. The user also explores the relationship between the cross products of the tensor and vector, specifically questioning the validity of the equation - (T^T × x) = (x × T)^T. This indicates a deeper inquiry into the properties of tensor operations.

PREREQUISITES
  • Understanding of vector algebra and tensor calculus
  • Familiarity with the Levi-Civita symbol (ε) and its properties
  • Knowledge of rank two tensors and their operations
  • Basic concepts of transposition in tensor mathematics
NEXT STEPS
  • Study the properties of the Levi-Civita symbol in tensor operations
  • Learn about the implications of tensor transposition on vector-tensor products
  • Explore advanced tensor calculus techniques, including contraction and outer products
  • Review applications of cross products in physics, particularly in elasticity theory
USEFUL FOR

Students and professionals in mathematics, physics, and engineering, particularly those working with tensor analysis and vector calculus.

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Homework Statement



Just wanted to ask what's the definition of the cross product between a vector and a range two tensor


The Attempt at a Solution



(x \times \hat{T})_{i\beta}=\epsilon_{ijk} x_j T_{k\beta}
 
Last edited:
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if those were true, then is the following correct ?

<br /> <br /> -(\hat{T}^{T} \times x) = (x \times \hat{T})^{T}<br /> <br />
 

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