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Generalizing theorems by Kolmogorov quotient, automatically #1198
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Using the mappings in the above spreadsheet, I found that the following theorems can be generalized using the T0 quotient. I will package up and share my code in a bit.
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There is a very easy way to make any topological space to be completely regular without modifying its continuous functions. Namely, given a topological space This might be not as useful as Kolmogorov quotient, but it's still a very easy construction which would preserve some of the properties involving cozero sets, so easy that I thought I had to mention it. This can of course be then combined with Kolmogorov quotient to lend a Tychonoff space. |
So the completely regular spaces form a reflective subcategory of the category of topological spaces. The reflection of |
Originally posted by @yhx-12243 in #1166 (comment)
I realized after thinking about this comment that this process can be automated: given the Kolmogorov quotient, or indeed any function from the class of topological spaces to itself, we can list out the preimage of each property (or at least upper and lower bounds). Since preimage distributes over intersection and complement, we can use this to map each theorem to another valid theorem, then the deduction engine can check which of these are already known to the database.
Of note, the Kolmogorov quotient is a particularly nice sort of function for this purpose, being a reflector for the subcategory of$T_0$ spaces. This allows us better fallback upper and lower bounds for preimages, as well as the possibility of checking whether adjointness is known. Hypothetically any sort of function could work, however, such as, say, one-point compactifications.
I began the process of listing preimages in this spreadsheet. Beyond the Kolmogorov quotient/$T_0$ reflection, I also included columns for the$R_0$ coreflection/refinement, $T_1$ reflection/quotient, and $T_1$ coreflection/refinement, which are less fleshed out. I set it so that anyone can make suggestions on the spreadsheet, so feel free to suggest results that I may have missed or correct errors, as there are a lot of properties to look over. I should also probably add upper or lower bounds when no exact preimage exists, so feel free to suggest those as well.
The next step is to write some code to check for novel theorems, which I don't anticipate being much of a challenge.
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