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Aug 23, 2010 at 1:16 comment added Richard Borcherds Just to confirm: my answer is for the case of THE Gaussian measure, while Peter Shor's answer is for the case of A Gaussian measure.
Aug 22, 2010 at 23:28 comment added Peter Shor See my answer for the definition of Gaussian measures on Hilbert spaces: one equivalent definition is that any projection onto a finite-dimensional space must be a Gaussian (with some covariance matrix $\Sigma$).
Aug 22, 2010 at 23:00 comment added RadonNikodym And yet, your reasoning is perfect... :( Are there non equivalent definitions of Gaussian measures on Hilbert Spaces.
Aug 22, 2010 at 22:54 comment added RadonNikodym Ok, there is something I am missing. Many books define a Gaussian measure on a Hilbert space $H$ to be a measure such that the push forward measure of every linear functional on $H$ is Gaussian on $\mathbb{R}$. One can then define the mean and covariance of the measure from the mean and variance of these real-valued distributions. So this isn't a Gaussian measure in some sense?
Aug 22, 2010 at 22:08 history answered Richard Borcherds CC BY-SA 2.5