#Eigenvalues
Live, measured metrics for the hashtag #Eigenvalues from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #eigenvalues
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-10-22 10:28 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-22 10:28 UTCNo related tags with measured usage found for #eigenvalues.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-22 10:28 UTCEverything below is measured over the latest 18 public posts (spanning ~53248 hours).
Posting hours (UTC) — busiest: 01:00
Languages: English (18)
Avg boosts / post: 1.7
Top of the latest posts
An #intoduction after moving instances: I'm a #prof at #cornell in #CS doing scientific computing. Home base is #linearalgebra (esp #eigenvalues), computational #mechanics, #optimization. Work on numerical methods for #data science, formal
It's a Tool It's a Person It's a Hypervigilance Problem The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. Fi
https://systemic.engineering/the-trick/ #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSour
What “eigenvalues” means
Wiktionary · Wikipediaeigenvalues
- nounA scalar, \lambda, such that there exists a non-zero vector x (a corresponding eigenvector) for which the image of x under a given linear operator \mathrm{A} is equal to the image of x under multiplication by \lambda; i.e. \mathrm{A} x = \lambda x.
In linear algebra, an eigenvector or characteristic vector is a (nonzero) vector that has its direction unchanged by a given linear transformation. More precisely, an eigenvector of a linear transformation is scaled by a constant factor when the linear transformation is applied to it: . The corresponding eigenvalue, characteristic value, or characteristic root is the multiplying factor .
“Eigenvalues and eigenvectors” on Wikipedia (CC BY-SA) →#eigenvalues across platforms
every network with a public tag surfaceFollow #eigenvalues straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/eigenvalues