Suppose that $\mu$ and $\lambda$ are two equivalent measures in a probability space $(\Omega, \mathscr F)$. Suppose that random variables $\xi_1,..,\xi_n$ in $(\Omega, \mathscr F)$ are independent according to $\mu$, does this imply that they are independent also according to $\lambda$ ?
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No, let $\xi_1,\xi_2$ uniformly distributed on the unit square i.e. $\xi_1,\xi_2$ are random variables on $(\Omega, \mathscr F) = ([0,1] \times [0,1], \mathscr F)$. So they are independent with respect to the Lebesgue measure.
Now, take the following common density instead
$$f_{\xi_1,\xi_2}(x,y)=x+y, \,\,\, 0\le x\le 1, 0\le y\le 1.\tag 1$$
With respect to this common distribution the two random variables are not independent.
$$f_{\xi_1}(x)=x+\frac12,\,\,0\le x \le 1$$ and
$$f_{\xi_2}(y)=y+\frac12,\,\,0\le y \le 1.$$
So, $$f_{\xi_1,\xi_2}(x,y)\not=f_{\xi_1}(x)f_{\xi_2}(y).$$
At the same time the two measures (the Lebesgue measure and the one defined by $(1)$) are equivalent. They are absolute continuous with respect to each other.
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Suppose then that, under $\mathbb{P}$ the random variables are independent and identically distributed with $\mathbb{P}\left[\xi_t=a\right]=p$ and $\mathbb{P}\left[\xi_t=b\right]=1-p$. I am wondering whether (and for which conditions) independence is preserved by any new measure such that $\mathbb{Q}\left[\xi_t=a\right]=p^{\prime}$ and $\mathbb{Q}\left[\xi_t=b\right]=1-p^{\prime}$. – AlmostSureUser Nov 17 '15 at 11:15
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1What exactly are the $\lambda$ and $\mu$ here? – BCLC Nov 17 '15 at 21:10
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2@BCLC: $\lambda$ is the Lebesgue measure and $\mu$ is the measure defined by the density $x+y$ over the unit square. – zoli Nov 17 '15 at 21:13
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@zoli So $$\mu(E) = \int\int_{E} \ x+y \ dA$$ for $E \in \mathscr{F}$ where $E \subseteq [0,1] \times [0,1] = \Omega$? – BCLC Nov 17 '15 at 21:17
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@DP1981 $\mu = \mathbb P, \lambda = \mathbb Q$ ? – BCLC Nov 17 '15 at 21:18
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@zoli Nice. So what do you call the 'natural' $\mathscr F$ here? $\mathscr{B}(\Omega)$ ? Not familiar w/ multivariate prob/measure theory – BCLC Nov 17 '15 at 21:22
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1@DP1981: yes. $\mathbb P$ and $\mathbb Q$ are the two distributions. – zoli Nov 17 '15 at 21:23