expm_sym

std.linalg.expm_sym · Level L3

The matrix exponential of a symmetric matrix, V·e^Λ·Vᵀ. Through the eigen-decomposition, so f(A) is exact in exact arithmetic. The reference is mpmath's expm at 100 digits, which does not diagonalize.

e^A = V·diag(e^λ)·Vᵀ

Signature

expm_sym(A: f64[n, n]) → f64[n, n]

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.

Af64[n, n]EighValueswEighVectorsVExpfwTransposeVtReshapefrMultiplyVfMatMulFFf64[n, n]
  • input
  • operation
  • constant
  • call
  • output

Verification

  • Signature proven by NOVA’s shape solver, for every size.
  • Agrees with the reference scipy.linalg.expm(A); exactly: mpmath at 100 digits to 80 digits (100-digit arithmetic), on all 40 test cases.
  • All 850 float64 results inside the running error bound; the closest uses 10% 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 4% of it.
Accuracy in detail
correctly rounded (the float64 nearest the exact value)
4%
bit-equal to the NumPy formula in float64
1%
largest error, in units in the last place
4.1e+4

Large ulp counts appear where a result is tiny next to the numbers it is computed from (after cancellation, for example), so one unit in the last place is tiny too; the absolute error is still inside the bound. Results within their own error of zero are not counted.

Note

Exact for every symmetric A in exact arithmetic, since A = VΛVᵀ. The eigenvectors' signs cancel in VΛVᵀ, but their error bound grows as eigenvalues approach each other, so the cases have eigenvalues 1, 2, …, n.

Identity

Calls
—
Called by
—
sha256:0d6c138ce42c06ef293006f21e98c0d6888ff04a519204883c6c8b65fdf787ab

The semantic hash of the graph. It changes when the program changes, and never when only its documentation does.

Control handle

Symbol
Ω:std.linalg.expm_sym · Ω:expm_sym
Pins
sha256:a8793d4e5fdc348f9b501fe7a8a6553e60d23deb8ff687c2a2e8385dd373d88athis graph alone
Evidence
sha256:d3835e0c6af6d31112dd1faff494e5b97cd6ed0d715270bbfe650046fec0c6d2the 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.

ΣEML 2026

Efficient New Language — a high-density semantic overlay for humans and AI agents.

This site’s demos run on the real EML toolchain, in your browser.

© 2026 EveMissLab (一言諾科技有限公司) / Neo.K. All rights reserved.