How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
A nonnormal action grows transiently while its Arnoldi residual certificate remains valid
Statement
Let , , , and use one exact Arnoldi step. Compute the exact action and projection, its residual certificate, and the logarithmic-norm growth bound.
Facts & Assumptions
Given: The stated real matrix, starting vector, time, and exact-arithmetic Arnoldi run with .
The Arnoldi process for building an orthonormal basis of a Krylov subspace and Before breakdown, Arnoldi produces an orthonormal Krylov basis and a rectangular upper-Hessenberg factorization: Arnoldi starts with and represents for a nonzero residual.
Arnoldi projection for exponential and phi-function actions: the exact one-step exponential projection is .
The phi-function family by everywhere-convergent series and The scalar and matrix phi series converge absolutely: scalar and matrix exponentials are given by their absolutely convergent power series; in particular and .
The Euclidean logarithmic norm of a complex matrix and The logarithmic norm bounds forward and reverse matrix exponentials: is the largest eigenvalue of , and for .
Arnoldi action error is the semigroup-weighted residual integral: the exact action error is the initial mismatch term plus the oriented integral of ; its norm is bounded by the logarithmic-norm-weighted residual integral, with no added , , or reduced-action term when these are zero.
The exponential is positive and satisfies : for every real , and .
, and the complex exponential extends the real exponential: the complex exponential satisfies its addition law and agrees with the real exponential on real inputs.
The exponential function is smooth and : for real .
The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with : differentiating an exponential composed with a real affine map multiplies by the affine slope.
If is differentiable with integrable then ; and a bounded derivative makes Lipschitz: for a continuously differentiable real scalar function, the definite integral equals the endpoint difference of an antiderivative.
A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion: every continuous real-valued function on a nondegenerate closed bounded interval is Riemann integrable.
Proof
With , and , so and . Therefore [F2] gives the projection , where [F8] identifies this scalar value with the real exponential.
Write , where and . For , ; if , multiplying by and using yields . Thus induction proves the formula for all . Substituting into [F3] and using absolute convergence to reindex gives . By [F8], the scalar complex value at is the real , and [F7] gives . Thus and the exact projection error is . For every , the factors in are at least , so , strictly for ; hence [F6] gives . Positivity and reciprocity in [F7] now give , so the action grows in norm from the unit initial vector.
The Hermitian part is , with eigenvalues and , hence by [F4] . The semigroup bound in [F4] is . In the residual estimate , so [F5] gives . By [F8], the integrand is , which is continuous on and integrable by [F12]. An antiderivative of is by [F9] and [F10]; [F11] then evaluates the bound as . For the exact residual identity in [F5], gives . The addition law [F8] makes the residual integrand the constant vector , whose coordinates are continuous and integrable by [F12]; [F11] gives , consistent with the exact error. The certificate remains valid in this nonnormal case, while the positive logarithmic norm allows transient growth.
Depends on
- Arnoldi projection for exponential and phi-function actions
- The Arnoldi process for building an orthonormal basis of a Krylov subspace
- The Euclidean logarithmic norm of a complex matrix
- The phi-function family by everywhere-convergent series
- The real exponential function and the number $e$ by a power series
- The exponential is positive and satisfies $\exp(-x)=1/\exp(x)$
- $\exp(z+w)=\exp z\,\exp w$, and the complex exponential extends the real exponential
- The exponential function is smooth and $(\exp)'=\exp$
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- If $f : [a,b] \to \mathbb{R}^m$ is differentiable with integrable $f'$ then $\int_a^b f' = f(b)-f(a)$; and a bounded derivative makes $f$ Lipschitz
- A continuous function on $[a,b]$ is Riemann integrable, by Heine-Cantor and Riemann's criterion
- The exponential series converges absolutely for every real argument
- The scalar and matrix phi series converge absolutely
- The logarithmic norm bounds forward and reverse matrix exponentials
- Arnoldi action error is the semigroup-weighted residual integral
- Before breakdown, Arnoldi produces an orthonormal Krylov basis and a rectangular upper-Hessenberg factorization
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
100 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Nicholas J. Higham, What Is the Logarithmic Norm? (standard reference, not scraped)