induced_norms
std.linalg.induced_norms · Level L1The operator norms of a matrix A : Rⁿ → Rᵐ induced by ℓ₁ and by ℓ∞: ‖A‖₁ = max over columns of Σ|a_ij|, and ‖A‖∞ = max over rows of Σ|a_ij|. They are the least C with ‖Ax‖ ≤ C‖x‖ for every x, so A is a bounded operator; a few vectors x satisfying the bound would not be a certificate.
Signature
induced_norms(A: f64[m, n]) → f64[], f64[]
Structure
The function as NOVA stores it: one box per input, operation and output, and arrows that carry values. A double border marks another library function this one runs — called once, or by Scan once per element; select it to open that function.
- input
- operation
- constant
- call
- output
Verification
- Signature proven by NOVA’s shape solver, for every size.
- Equal to the reference
absolute column and row sumsin exact rational arithmetic, on all 40 test cases. - All 80 float64 results inside the running error bound; the closest uses 47% of it.
- Interpreter and NumPy backend return bit-identical results.
- At float32 too: the 40 test cases rounded to float32, and 40 of them inside the running error bound at u = 2⁻²⁴; the closest uses 93% of it.
- correctly rounded (the float64 nearest the exact value)
- 94%
- bit-equal to the NumPy formula in float64
- 94%
- largest error, in units in the last place
- 0.75
Identity
sha256:752656903cae97442b293f860b1fe147f27bad6eb84b54f1015948350cdbcaadThe semantic hash of the graph. It changes when the program changes, and never when only its documentation does.
Control handle
- Symbol
- Ω:std.linalg.induced_norms · Ω:induced_norms
- Pins
sha256:7e37107a92723712fb2f30cc16b45b2062486ba453ce317ce0584ceae76f78f4this graph alone- Evidence
sha256:2000609d9db61714432e2ef9ed4f98131eb4e302677df3f39bde1acf2a2aaa48the hash of its verification record- Needs
- no capability: a pure function
Through NOVA’s control layer, the symbol launches this function only while the program still matches what it pins: a change to this graph, or to any graph it reaches, needs a migration first.