Tensors | Invariant theory | Linear algebra
In mathematics, in the fields of multilinear algebra and representation theory, the principal invariants of the second rank tensor are the coefficients of the characteristic polynomial , where is the identity operator and represent the polynomial's eigenvalues. More broadly, any scalar-valued function is an invariant of if and only if for all orthogonal . This means that a formula expressing an invariant in terms of components, , will give the same result for all Cartesian bases. For example, even though individual diagonal components of will change with a change in basis, the sum of diagonal components will not change. (Wikipedia).
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From playlist New To Tensors? Start Here
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From playlist The TRUTH about TENSORS
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From playlist The TRUTH about TENSORS
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From playlist Einstein's General Relativity and Gravitation
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From playlist What is General Relativity?
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This course will eventually continue on Patreon at http://bit.ly/PavelPatreon Textbook: http://bit.ly/ITCYTNew Errata: http://bit.ly/ITAErrata McConnell's classic: http://bit.ly/MCTensors Table of Contents of http://bit.ly/ITCYTNew Rules of the Game Coordinate Systems and the Role of Te
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From playlist Einstein's General Relativity and Gravitation
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From playlist New To Tensors? Start Here