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arxiv: 1605.02421 · v2 · pith:PHCVUKLFnew · submitted 2016-05-09 · 🧮 math.PR

Nash twist and Gaussian noise measure on isometric C¹ maps

classification 🧮 math.PR
keywords gaussianisometricmathbbmeasurenashnoisetwistconstruct
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Starting with a short map $f_0:I\to \mathbb R^3$ on the unit interval $I$, we construct random isometric map $f_n:I\to \mathbb R^3$ (with respect to some fixed Riemannian metrics) for each positive integer $n$, such that the difference $(f_n - f_0)$ goes to zero in the $C^0$ norm. The construction of $f_n$ uses the Nash twist. We show that the distribution of $ n^{1/2} (f_n - f_0)$ converges (weakly) to a Gaussian noise measure.

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