MHB How Can We Generalize Lebesgue Measurable Functions in Higher Dimensions?

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The discussion centers on generalizing the concept of Lipschitz functions in the context of Lebesgue measurable sets in higher dimensions. It starts with the observation that for a measurable set E in R, the function φ defined as the measure of the intersection with a half-space is Lipschitz. Participants suggest that in R^d, φ could be defined using a rectangle of the form (-∞, t1) × ... × (-∞, td) to maintain the Lipschitz property. This formulation allows for a natural extension of the original concept to higher dimensions. The conversation highlights the importance of dimensionality in defining measurable functions and their properties.
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Hey! :o

If $E \subset \mathbb{R}$ is Lebesgue measurable and $\phi(t)=m \left ((-\infty, t) \cap E\right )$, then $\phi$ is Lipschitz.

How could we generalize this sentence in $\mathbb{R}^d$?? (Wondering)

If $E \subset \mathbb{R}^d$ is Lebesgue measurable and $\phi(t)=m \left (\dots \cap E\right )$, then $\phi$ is Lipschitz.

What should be instead of $(-\infty, t)$ ?? (Wondering)

Maybe a rectangle in $\mathbb{R}^d$?? Or something else?? (Wondering)
 
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Yes, you can use a rectangle in $\mathbb{R}^d$. Specifically, the rectangle should be of the form $(-\infty, t_1)\times \cdots \times (-\infty, t_d)$. This is the set of all points $(x_1,\dots,x_d)$ such that $x_i < t_i$ for all $i=1,\dots,d$.
 
We all know the definition of n-dimensional topological manifold uses open sets and homeomorphisms onto the image as open set in ##\mathbb R^n##. It should be possible to reformulate the definition of n-dimensional topological manifold using closed sets on the manifold's topology and on ##\mathbb R^n## ? I'm positive for this. Perhaps the definition of smooth manifold would be problematic, though.

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