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Write a quadratic expression as a sum of squares by eliminating its mixed terms and then completing squares
ResourceFunction["DiagonalizeQuadratic"][quad,vars,newvars] returns the diagonalized quadratic in newvars, the eigenvalues, corresponding orthonormal eigenvectors and a list of substitution rules relating newvars to vars. |
Rewrite a quadratic with no linear terms:
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Confirm the result:
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Rewrite a quadratic with linear terms:
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Confirm the result:
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Rewrite a quadratic in three variables:
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Confirm the result:
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When Mathematica returns Root objects in determining the eigensystem of the matrix, DiagonalizeQuadratic returns numerical approximations of the eigenvalues and eigenvectors:
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Check the result:
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Mathematica returns numerical approximations for the eigensystem of symmat:
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This explains why DiagonalizeQuadratic returns numerical approximations for this quadratic:
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The input can be given as an equation:
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The names of the original variables and the new variables must be disjoint:
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The list of variables and new variables must have the same length:
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If new variables are not specified, an error message is returned:
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Note that if the input quadratic is numericized by applying N to it, then the diagonalized quadratic returned is different from the diagonalized quadratic returned by diagonalizing the non-numericized quadratic. The reason is that Mathematica's Eigensystem returns a different (but equivalent) list of orthonormal eigenvectors:
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This output is different from the previous output:
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