We detail a simple procedure (easily convertible to an algorithm) for constructing from quasi-uniform samples of $f$ a sequence of linear spline functions converging to the monotone rearrangement of $f$, in the case where $f$ is an almost everywhere continuous function defined on a bounded set $\Omega$ with negligible boundary. Under additional assumptions on $f$ and $\Omega$, we prove that the convergence of the sequence is uniform. We also show that the same procedure applies to arbitrary measurable functions too, but with the substantial difference that in this case the procedure has only a theoretical interest and cannot be converted to an algorithm.
翻译:我们详细说明了一个简单的程序(可以很容易地转换成算法),从准统一样本中建造一系列线性样函数,即线性样条函数,从美元到单管重新排列美元,如果美元几乎无处不在,就是一个连续的功能,其定义是约束的一组美元(Omega),边界可忽略不计。根据对美元和美元的额外假设,我们证明序列的趋同是统一的。我们还表明,同样的程序也适用于任意的可计量功能,但有重大区别,在这种情况下,程序只具有理论意义,不能转换为算法。