Tensor Analysis and Linear Algebra, what's the difference

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SUMMARY

Tensor calculus and linear algebra are distinct yet overlapping mathematical disciplines. Tensor calculus extends vector calculus, focusing on derivatives and integrals of multi-variable functions, while linear algebra emphasizes the study of linear maps between vector spaces using matrices. Tensors, defined as ordered lists of linear maps, serve as a bridge between these two fields, particularly in differential geometry where they generalize locally linear maps. Understanding both subjects enhances the comprehension of complex mathematical concepts.

PREREQUISITES
  • Understanding of vector calculus principles
  • Familiarity with matrix operations in linear algebra
  • Knowledge of multilinear maps and their properties
  • Basic concepts in differential geometry
NEXT STEPS
  • Study the fundamentals of tensor calculus
  • Explore advanced linear algebra techniques, including eigenvalues and eigenvectors
  • Learn about the applications of tensors in differential geometry
  • Investigate the relationship between linear maps and multilinear maps
USEFUL FOR

Mathematicians, physicists, and engineers seeking to deepen their understanding of mathematical frameworks involving tensors and linear transformations.

mahinda
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Hi,

I think I have been having this question for some time now. What is the difference between tensor calculus and linear algebra? Both seem to make frequent use of matrices, but they seem to be different subject matter. Can anyone please enlighten me on this issue?
 
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mahinda said:
Hi,

I think I have been having this question for some time now. What is the difference between tensor calculus and linear algebra? Both seem to make frequent use of matrices, but they seem to be different subject matter. Can anyone please enlighten me on this issue?

Hi Mahinda,

I'm no expert on either subject, but I've had the same question. I'll attempt to answer it. I think tensor calculus and linear algebra are two different ways of looking at some similar subject matter. Tensor calculus is more like an extension of vector calculus. Calculating derivatives and integrals of multi-variable functions in a more traditional calculus approach.

Linear algbegra takes a less visual, less,geometric approach and treats everything as sets and groups of objects which can be acted on by linear functionals in the form of matrices.

There is definitely overlap in the subject matter.
 
There is indeed a lot of overlap, as tensors are multilinear maps.
In linear algebra you study properties of linear maps between vector spaces.
You can then apply your knowledge of linear algebra to your study of tensors, as they are an ordered list of linear maps between many potentially different vector spaces: a multilinear map.
They arise naturally in differential geometry as a generalization of locally linear maps (as derivatives become in vector calculus).
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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