Let's disintegrate $\mu$ and $\nu$, two probabilities on $\mathbb{R}^{d}$ , according to $$ \pi_{k} (x_{1},...,x_{d}) = (x_{k},...,x_{d}) $$ We get a family of measures and each measure $\mu_{k,d}^{+} =: \mu^{+}$ (resp $\nu^{+}_{k,d} =: \nu^{+}$) is concentrated on $\mathbb{R}^{k-1} \times \{x_{k} \} \times ... \times \{ x_{d} \}$ (resp $\mathbb{R}^{k-1} \times \{y_{k} \} \times ... \times \{ y_{d} \}$).
For each $(x_{+},y_{+}) := (x_{k},...,x_{d},y_{k},...,y_{d})$ we consider $\gamma^{+,+}$ the Knothe transport measure between $\mu^{+}$ and $\nu^{+}$. We assume it is realized by a map $T$, i.e. $$ \gamma^{+,+} = (\text{id},T)_{\#} \mu^{+} $$ with $T_{\#} \mu^{+} = \nu^{+}$
Finally let's consider $\gamma = \gamma^{+,+} \otimes \eta \in \mathcal{P}(\mathbb{R}^{2d})$ with $\eta \in \mathcal{P}(\mathbb{R}^{d-k+1} \times \mathbb{R}^{d-k+1})$ and
$$ \gamma(A) = \int{\gamma^{++}(A) d\eta} $$
In this definition we have something to prove,that's $\gamma$ is indeed a measure. The only thing to prove is that
$$ (x_{+},y_{+}) \rightarrow \gamma^{++}(A) $$ is measurable.
But I don't know how to prove it, do someone know how to do that ? I would be relieved to read it.
Thanks and regards.