Event JSON
{
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"pubkey": "b05349ddf264a2440fe2889ca8280c229a1686826fdd3faa60e4b884f11cdd92",
"created_at": 1744655670,
"kind": 1,
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"Mostr",
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"content": "nostr:nprofile1qy2hwumn8ghj7un9d3shjtnddaehgu3wwp6kyqpqc9m22hkc5h6zgrwkz48crhcpw6vch2rf6j97746ugl3neys86jeqcr59k6 nostr:nprofile1qy2hwumn8ghj7un9d3shjtnddaehgu3wwp6kyqpq9g86fe4my0hhfks50t2049zlmstlfrwyd6kahh3fhg5xwc8lt3cqls5k3r\n\nYes, this equivalence class is another good characterization, although notice that it gets you vectors (at the given point) rather than vector fields (not that it's hard to move between these). But there are a lot of things you could use for B here if you just want to characterize the equivalence; that is, there are a lot of choices for B and operators from A to B that have the desired equivalence kernel. What we really need is a B where the operator from A to B is surjective. And it's natural first to think of a larger B and then find a way to characterize the image. I suggest that it would be natural to think of differential operators when constructing this larger B, later restricting to derivations.",
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}