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.
The flow and variational equation of a linear system: Phi(t,a)=e^{tA}a
Example
Let and let . Consider the linear autonomous field , , with local flow (The local flow of an autonomous first-order system) and exponential series (The exponential series of a bounded operator). Then
the exponential family satisfies the composition law , and for every the derivative of at is ; the variational equation along ,
has the unique solution on every compact interval (The variational equation along an ODE solution, Linear matrix ODEs have unique global solutions on a fixed interval).
Facts & Assumptions
Given: , a matrix and the linear field . Coordinates are zero-based; a matrix acts on a column vector by . Vector norms are Euclidean (The Euclidean inner product on ), and is the subordinate Euclidean operator norm (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
Euclidean is complete ( and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in ). Rowwise Cauchy-Schwarz gives , so is bounded and is globally Lipschitz (Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation). The exponential series defines a group with , and (The exponential series of a bounded operator, Rectangular matrix multiplication and the identity matrix , including zero-sized shapes).
Every initial value problem of has a unique maximal solution, and every solution through the same initial data is a restriction of it (Every Picard–Lindelöf initial value problem has one maximal solution on an open interval, Extensions, maximal solutions, maximal intervals, and global solutions, First-order systems, initial value problems, and solutions on intervals, The local flow of an autonomous first-order system).
The variational equation along a solution of an autonomous field is the linear matrix ODE ; for the linear field it is , and it has a unique solution on every compact interval for every prescribed initial matrix at a time in that interval (The variational equation along an ODE solution, Linear matrix ODEs have unique global solutions on a fixed interval). For , , and , the smooth-dependence theorem identifies with for and , with the derivative bound and the trapping bound (C¹ dependence of an autonomous flow on the initial condition, and the variational equation).
Verification
For fixed , the curve is defined on all of and satisfies and by [F1]. Hence it is a solution of the initial value problem on , and by [F2] it is the unique maximal solution through ; therefore and for every . As was arbitrary, .
For fixed , the map is linear, and its derivative at every point is itself: , so with zero remainder; this holds for every real .
The composition law for the flow follows from [F1]: , in agreement with the general identity of The local flow is a partial one-parameter group: identity, composition and inverse-time laws.
The function satisfies and by [F1]; by the uniqueness clause of [F3] it is the unique solution of the variational initial value problem on every compact interval containing , and every compact interval is contained together with in one such interval. In particular the conclusion of the smooth-dependence theorem for the derivative of is achieved exactly, with no error term.
Remarks
- For a linear system the continuous-dependence estimate of Continuous and Lipschitz dependence on the initial condition on a Picard-Lindelof cylinder is an identity in the difference: , and its norm is bounded by via the operator-norm estimate for the exponential series.
Depends on
The Euclidean inner product on
Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation
and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in
The operator norm as the least bound and as the unit-sphere or unit-ball supremum
The local flow of an autonomous first-order system
The local flow is a partial one-parameter group: identity, composition and inverse-time laws
C¹ dependence of an autonomous flow on the initial condition, and the variational equation
The variational equation along an ODE solution
The exponential series of a bounded operator
Linear matrix ODEs have unique global solutions on a fixed interval
Every Picard–Lindelöf initial value problem has one maximal solution on an open interval
Extensions, maximal solutions, maximal intervals, and global solutions
First-order systems, initial value problems, and solutions on intervals
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
Dependency tree · 2 levels
Sources
- G. Teschl, Ordinary Differential Equations and Dynamical Systems (AMS Graduate Studies in Mathematics 140, online edition), Section 3.2 (the matrix exponential and linear systems), printed pages 62-67, and Section 2.4 (variational equation), printed pages 45-47
- J. Arino, MATH 8430 Fundamental Theory of Ordinary Differential Equations (University of Manitoba), Section 1.4 (the variational equation for a linear system), printed pages 32-40