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Questions about abstract measure and Lebesgue integral theory. Also concerns such properties as measurability of maps and sets.
2
votes
0
answers
114
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A variant of the optimal transport
Let $\mu$, $\nu$ and $\gamma$ be three probability measures on $\mathbb R$. Consider the optimisation problem as follows:
$$\inf_{(X,Y,Z)}~ \mathbb E\big[|Y-Z|^2\big],$$
where the inf is taken overa …
3
votes
0
answers
105
views
Dependency of the Wasserstein distance on the parameter: a differential perspective
Let $\mu(dx)=\sum_{i=1}^np_i\delta_{x_i}(dx)$ and $\nu(dy)=\rho(y)dy$ be two probability measures on $\mathbb R^d$. Consider the $2-$Wasserstein distance below:
$$W_2(\mu,\nu)^2 \quad := \quad \inf_{ …
0
votes
Question about Wasserstein metric
I've a solution but it's not perfectly satisfying. Assume that
$$V~~~:=~~~\int |x|^pd\mu(x)~+~\int |x|^pd\nu(x)~~~<~~~+\infty$$
for some fixed $p>1$. It follows from Thought 1 that, there exists $f …
8
votes
3
answers
916
views
Question about Wasserstein metric
Let $\mu$ and $\nu$ be two probability measures on $\mathbb R^n$ with finite first moment. Denote by $d:=W_1(\mu,\nu)$, where $W_1(\cdot,\cdot)$ stands for the Wasserstein distance of order $1$.
My …
1
vote
2
answers
269
views
Convergence of an iterated sequence
Let $K=[0,1]^2$ be a square and $p\in (0,1)$ be a fixed number. We define a map $F: K^2\to K^2$ as follows.
For $(x_1,y_1), (x_2,y_2)\in K$, it follows by a straightforward computation that there e …
0
votes
Convergence of an iterated sequence
Thank @AnthonyQuas for the reply. I claim that this is not an answer, but just a question related to the last remark by @AnthonyQuas
Consider one case where $\Delta x:=x_2-x_1>0$, $\Delta y:=y_2-y_1> …