Paper detail

Topology, Metric Spaces and the Generalized Continuum Hypothesis

This is a paper that aims to interpret the cardinality of a set in terms of Baire Category, i.e. how many closed nowhere dense sets can be deleted from a set before the set itself becomes negligible. . To do this natural tree-theoretic structures such as the Baire topology are introduced, and the Baire Category Theorem is extended to a statement that a $\aleph$-sequentially complete binary tree representation of a Hausdorff topological space that has a clopen base of cardinality $\aleph$ and no isolated or discrete points is not the union of $<\aleph+1$-many nowhere dense subsets for cardinal $\aleph\ge\aleph_{0}$, where a $\aleph$-sequentially complete topological space is a space where every function $f:\aleph\rightarrow\{0.1\}$ is such that $(\forall x)(x\in f\rightarrow x\in\in X)\rightarrow(f\in X)$. It is shown that if $\aleph<\left|X\right|\le2^{\aleph}$ for $\left|X\right|$ the cardinality of a set $X$, then it is possible to force $\left|X\right|-\aleph\times\left|X\right|\ne\emptyset$ by deleting a dense sequence of $\aleph$ specially selected clopen sets, while if any dense sequence of $\aleph+1$ clopen sets are deleted then $\left|X\right|-(\aleph+1)\times\left|X\right|=\emptyset$. This gives rise to an alternative definition of cardinality as the number of basic clopen sets (intervals in fact) needed to be deleted from a set to force an empty remainder. This alternative definition of cardinality is consistent with and follows from the Generalized Continuum Hypothesis, which is shown by exhibiting two models of set theory, one an outer (modal) model, the other an inner, generalized metric model with an information minimization principle.

preprint2020arXivOpen access

Signal facts

What is known right now

Open access1 author2 topics

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.