Commutator Term
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-07-04.)
Commutator Term has 10 facts recorded in Dontopedia across 4 references.
Mostly:is skew symmetric ontologically(1), acts like(1), is(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
allocatesAllocates(1)
- Strang Step
ex:strang-step
concernsStabilityForConcerns Stability for(1)
- Integrator Choice
ex:integrator-choice
Other facts (10)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Is Skew Symmetric Ontologically | true | [1] |
| Acts Like | advection at speed ~|F| | [2] |
| Is | [F,∇F] | [2] |
| Makes Worse for | Strong Fields | [2] |
| Worsens Stability for | Strong Fields | [2] |
| Denoted As | [Ω,Ψ] | [3] |
| Has Property | skew-symmetric | [3] |
| Has Eigenvalue Property | purely imaginary | [3] |
| Internally Allocates | Gradient | [4] |
| Allocates | Commutator 1x | [4] |
Timeline
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References (4)
ctx:discord/blah/watt-activation/part-500ctx:discord/blah/watt-activation/part-571ctx:discord/blah/watt-activation/497- full textwatt-activation-497text/plain2 KB
doc:agent/watt-activation-497/e72fbd50-bc16-4a38-8957-fe8531b9864cShow excerpt
[2026-03-22 17:52] xenonfun: if I am seeing this correct we are using 8 MB of memory. ⏺ The FD training is diverging — omega and gamma blowing up. The Euler ODE integrator is unstable at these parameter scales. This needs: 1. Much lower …
ctx:claims/document/032782f9-8294-4e80-932c-a9d8e3ec1504- full textxenonfun: ⏺ The Strang step allocates: laplacian (1× field), commutator_term (which interntext/plain407 B
discord:convmsg/9196Show excerpt
xenonfun: ⏺ The Strang step allocates: laplacian (1× field), commutator_term (which internally allocates gradient at ndim × field + commutator at 1× field), then a second laplacian. That's ~4 allocations of field size at peak. We could fu…
See also
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