2024-09-15

768: Slicing-and-Halving Map on Euclidean Set

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definition of slicing-and-halving map on Euclidean set

Topics


About: set

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of slicing-and-halving map on Euclidean set.

Orientation


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Main Body


1: Structured Description


Here is the rules of Structured Description.

Entities:
\( \mathbb{R}^{d'}\): \(= \text{ the Euclidean set }\)
\( J\): \(\subseteq \{1, ..., d'\}\)
\( k\): \(\in J\)
\( r'\): \(\in \mathbb{R}^{d'}\)
\(*\lambda_{J, r', k}\): \(: Pow (\mathbb{R}^{d'}) \to Pow (\mathbb{R}^{d'}), S \mapsto \{s \in S \vert \forall j \in \{1, ..., d'\} \setminus J (s^j = r'^j) \land r'^k \le s^k\}\)
//

Conditions:
//


2: Natural Language Description


For the Euclidean set, \(\mathbb{R}^{d'}\), any subset, \(J \subseteq \{1, ..., d'\}\), any \(k \in J\), and any point, \(r' \in \mathbb{R}^{d'}\), the map, \(\lambda_{J, r', k}: Pow (\mathbb{R}^{d'}) \to Pow (\mathbb{R}^{d'}), S \mapsto \{s \in S \vert \forall j \in \{1, ..., d'\} \setminus J (s^j = r'^j) \land r'^k \le s^k\}\)


3: Note


The reason why we do as \(\forall j \in \{1, ..., d'\} \setminus J (s^j = r'^j)\) instead of \(\forall j \in J (s^j = r'^j)\) is that the remained \(J\) components are usually more important than the fixed \(\{1, ..., d'\} \setminus J\) components. In fact, in many cases, we do the projection that takes the \(J\) components after the slicing map, getting the subset of \(\mathbb{R}^{\vert J \vert}\).

We do not use any name like "half-slicing", because that seems like slicing only half way instead of slicing completely or slicing into halves. This concept is not like those but slicing it completely and halving the slice after that.

We are saying "Euclidean set", because this concept does not require any topology, any vectors space structure, or something, although \(\mathbb{R}^{d'}\) is typically a Euclidean topological space or something.


References


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