Applying a diffeomorphism F with symmetric positive definite Jacobian to the rescaled head, and leaving the tail fixed, is a bijection of the Hilbert space; it carries the diagonal Gaussian measure to a measure whose density with respect to it is an explicit positive function of the rescaled head.
In the setting of A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation, let , with , , the density and the weighted square of as in A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation §heads. Densities are those of The Radon-Nikodym Theorem for a Finite Measure and a Sigma-Finite Measure, and Uniqueness of Densities, is the determinant and the natural logarithm. Let satisfy the hypotheses of Change of Variables for the Lebesgue Integral under a Continuously Differentiable Bijection of Euclidean Space with Symmetric Positive Definite Jacobian Matrix, and the Density of a Push-Forward with : is a bijection with inverse , the components of and of are of class on , and for every the Jacobian matrix is symmetric and positive definite and is its inverse matrix; then for every , by that theorem. For such , the map is continuous by Change of Variables for the Lebesgue Integral under a Continuously Differentiable Bijection of Euclidean Space with Symmetric Positive Definite Jacobian Matrix, and the Density of a Push-Forward §regularity, hence so is the map , which is therefore Borel by claim 3 of Borel Measurability and Bounded Integration on a Metric Space; we write for the map
with the lift of A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation §heads, and for the function
1. (A bijection moving the head only) The map satisfies the hypotheses imposed on , so that is defined. and are continuous, hence Borel, and is the inverse of . For every , and .
2. (Density of the image) is Borel and for every , and is a density of with respect to .
3. (The logarithm of the density along the map) For every ,
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