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Sep 22, 2015 at 18:49 comment added Julian Newman @DanielMansfield: Asymptotic density is not $\sigma$-additive: every singleton has density 0, and yet the union of all singletons (i.e. the whole space) has density 1. You are right that asymptotic density is an invariant finitely additive measure of the map $n \mapsto n+1$, but it is easy to show that this map has no invariant countably additive probability measures. (Indeed, this is an immediate consequence of the Poincaré recurrence theorem.)
Jul 19, 2015 at 3:13 history edited Daniel Mansfield CC BY-SA 3.0
removal of errors
Jul 16, 2015 at 12:15 comment added André Caldas @JulianNewman: It does not seem to me that Daniel defined his measure over the whole sigma algebra in his first attempt. In his second attempt, there is nothing that ensures the measure $\mu'$ is in fact ergodic.
Jul 12, 2015 at 22:51 comment added Julian Newman @DanielMansfield: Sorry, I did not see your replies until just now. Thank you for this. Your answer is quite perplexing to me - are you sure it is correct? (And are you perhaps working with a non-standard definition of "conservative"?)
Mar 28, 2015 at 0:49 comment added Julian Newman Am I right in saying that no-one has actually answered either Q1 or Q2 yet? I'm particularly interested in the answer to Q1. (In fact, even ignoring a topology, I haven't managed to find anywhere the answer to the following basic question: Let $(X,\Sigma,\mu)$ be a probability space that is not a Lebesgue space, and let $T:X \to X$ be a $\mu$-preserving measurable map; does there necessarily exist a probability measure $\mu'$ on $(X,\Sigma)$ which is $T$-ergodic?)
Oct 4, 2011 at 1:54 comment added André Caldas @Daniel: I will correct the post to emphasize that the measure is over the Borel sets and the transformation is continuous. If you are free to choose the $\sigma$-algebra, then you can just take $\{\emptyset, X\}$.
Oct 4, 2011 at 1:19 history edited Daniel Mansfield CC BY-SA 3.0
fixed up non-periodic case
Oct 4, 2011 at 0:53 history answered Daniel Mansfield CC BY-SA 3.0