What does it mean for a change of variables to be UNITARY?

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SUMMARY

A change of variables is considered unitary if the Jacobian matrix of the transformation is a unitary matrix. This means that when transforming variables from (x, y) to (\alpha, \beta) using functions f and g, the matrix M formed by differentiating f and g with respect to x and y must satisfy the condition U * U† = I, where U† is the Hermitian conjugate of U and I is the identity matrix. Unitary transformations preserve complex norms, ensuring that functions of unit absolute value remain unchanged, similar to orthonormal transformations for real-valued functions.

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  • Understanding of Jacobian matrices in multivariable calculus
  • Knowledge of unitary matrices and their properties
  • Familiarity with Hermitian conjugates in linear algebra
  • Basic concepts of complex numbers and norms
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So if I'm changing from variables x,y to variables \alpha = f(x,y), \beta = g(x,y), what exactly does it mean to stay this change of variables is unitary, and how can I tell if it is or if it isn't?
 
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I never encountered it, but probably it means that the jacobian matrix of the change of variables is a unitary matrix. In other words: you differentiate f and g with respect to x and y, put this four functions into a matrix M, and verify that U multiplied by the hermitian conjugate of U is the identity 2 x 2 matrix. To find the hermitian conjugate of a matrix you transpose it and then you take the complex conjugate.

I'm not really sure that all this is true though.
 
A unitary transformation is one that preserves complex norm, ie complex numbers (or functions) of unit absolute value transforms to complex numbers (or functions) of unit absolute value. If you consider real valued functions of real variables this is the same as orthogonal (or more correctly orthonormal) transformations. For a transformation to be unitary the Jacobian must be a unitary matrix as stated above. This will preserve the volume V = \int_{V}dx_{1}...dx_{n}.
 

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