fix(linalg): converge the Hermitian Jacobi sweep on near-diagonal matrices
Assisted-by: GLM 5.3 Flash
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@@ -15,6 +15,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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update refuse a matrix or vector holding a NaN or infinity instead
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of returning an all-NaN factor or spectrum with a nil error, the
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refusal the sparse solvers already make.
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- `EigenComplex` converges on a Hermitian matrix whose off-diagonal
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entries all sit just under the per-entry skip level: the sweep no
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longer exhausts its passes on a matrix it should have declared
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converged.
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## [1.0.0] - 2026-09-03
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+12
-1
@@ -122,6 +122,17 @@ func hermitianJacobi(h []complex128, v []complex128, n int) error {
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// the floor already diagonal and return its raw diagonal, identity
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// eigenvectors included.
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threshold := 1e-13 * norm
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// The per-entry skip must sit where a matrix whose every
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// off-diagonal entry is skippable also passes the aggregate
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// convergence test: with P pairs the off-norm of all-skipped entries
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// reaches skip·√P, so a skip at the plain threshold leaves a matrix
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// whose entries are uniformly just under it frozen above the test,
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// and the sweep exhausts its passes without turning a single
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// rotation.
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skip := threshold
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if pairs := float64(n * (n - 1) / 2); pairs > 1 {
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skip = threshold / math.Sqrt(pairs)
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}
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offMass := func() float64 {
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off := 0.0
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for p := range n {
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@@ -139,7 +150,7 @@ func hermitianJacobi(h []complex128, v []complex128, n int) error {
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for p := range n {
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for q := p + 1; q < n; q++ {
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z := h[p*n+q]
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if base.AbsComplex(z) <= threshold {
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if base.AbsComplex(z) <= skip {
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continue
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}
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// Step 1: a diagonal phase turn makes the pair entry
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@@ -294,6 +294,39 @@ func subComplex(a, b []complex128) []complex128 {
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return out
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}
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// TestEigenComplexNearDiagonalConverges pins the Jacobi sweep against a
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// matrix whose every off-diagonal entry sits just under the per-entry
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// skip level while the aggregate off-norm stays above the convergence
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// threshold: the skip must not freeze the sweep above its own
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// convergence test, which used to exhaust the passes and report the
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// nearly diagonal matrix as unconverged.
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func TestEigenComplexNearDiagonalConverges(t *testing.T) {
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const n = 30
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cv := make([]complex128, n*n)
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for i := range n {
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cv[i*n+i] = 1
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}
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for i := range n {
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for j := i + 1; j < n; j++ {
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cv[i*n+j] = complex(0.9e-13, 0)
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cv[j*n+i] = complex(0.9e-13, 0)
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}
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}
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a, err := core.FromComplexes(cv, n, n)
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if err != nil {
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t.Fatalf("FromComplexes: %v", err)
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}
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vals, _, err := EigenComplex(a)
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if err != nil {
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t.Fatalf("EigenComplex: %v", err)
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}
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for i := range n {
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if math.Abs(vals.FloatAt(i)-1) > 1e-11 {
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t.Fatalf("eigenvalue %d is %.12g, want 1", i, vals.FloatAt(i))
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}
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}
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}
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// TestEigenComplexRefusesNonFinite pins that a poisoned matrix never
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// reads as Hermitian: the mirror comparison cannot see a NaN
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// difference, so the entry is refused outright, the way the sparse
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