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Conditional LAD-to-LL residual and finite-interval stability
Conditional finite-interval residual estimate for regular flat LAD families satisfying the stated small-defect and bounded-coefficient hypotheses, together with finite-time stability for two specified Lipschitz second-order vector fields on a common compact phase region with the same initial data. It proves neither existence of such LAD families nor convergence of LAD trajectories or global-in-time accuracy.
Statement
Use the flat definitions , , and of Reduced-order Landau–Lifshitz local ODE and mass shell. Let with be a common compact proper-time interval, and suppose each curve below is on an open neighborhood of . For each , let be a curve in affine Minkowski space with , , and . Let be a fixed two-form on a neighborhood of the curves, fix a constant for each , and set and . Suppose every curve satisfies the flat LAD equation
Use the Euclidean norm of inertial components and its induced operator norm. In the SI interpretation is a time and ; all constants and field norms carry the corresponding units. Assume constants , independent of , satisfy on
Then throughout ,
The estimate is conditional on the displayed common-interval and uniform bounds. It does not establish that regular LAD solutions satisfying them exist, nor does it imply global-in-time convergence.
For a separate finite-interval comparison, let with , let be open in the topology of the usual Euclidean metric on , and let be compact for that metric. Let and . Fix positive coordinate scales for the phase coordinates and define for . In a dimensional application choose the position and velocity scales consistently with one fixed time unit, so the two blocks of the lifted vector fields below have the same rate units. All constants use these fixed scales; in particular has units of inverse time, is dimensionless, and has the units of a phase-space rate. Let be specified acceleration maps, and define the corresponding second-order phase vector fields
All vector integrals in this comparison are taken componentwise as real Riemann integrals.
Assume that for all ,
and that for every . If are restrictions of maps on an open interval containing , solve and pointwise on , and satisfy , then
This stability claim assumes both solutions exist on the full interval and remain in the stated common region. It concerns only the two specified second-order systems; it is not an existence or convergence claim for the third-order LAD equation.
Facts & Assumptions
Given: The flat LL definitions from Reduced-order Landau–Lifshitz local ODE and mass shell, a common compact interval, the stated normalized curves, fixed field, and all five uniform bounds. For the separate comparison, the phase space, common compact region, constants, vector fields, and solutions specified in the Statement.
Each curve obeys the displayed LAD equation, with serving as its radiation-time parameter.
throughout ; all derivatives below are ordinary proper-time derivatives in the flat inertial chart.
For the comparison, , , is open in the topology, is compact for , , and ; fixed phase-coordinate scales determine the stated norm and the displayed fields .
Both fields are Lipschitz on with constant at most , and their difference is bounded there by .
The comparison curves are restrictions of maps on an open interval containing , take values in on , solve their respective displayed ODEs pointwise there, and have the same initial state; hence is continuous on .
Sums, scalar multiples, products and quotients: , , , and when and The chain rule for total derivatives: : differentiating uses the coordinate product and chain rules.
A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion and The first fundamental theorem: if is integrable on and continuous at , then ; in particular a continuous has as a primitive: a continuous real function on is Riemann integrable, and the function has derivative for .
If are integrable on then so are , , , and , and , Integrable functions on form a set closed under sums and scalar multiples, and , and If on and both are integrable then ; and : absolute values of integrable functions are integrable, the integral is linear, and pointwise inequalities between integrable functions are preserved by integration. In particular, for continuous and .
The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , The exponential function is smooth and , and Sums, scalar multiples, products and quotients: , , , and when : the ordinary chain and product rules apply, and .
The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with and The exponential function is strictly increasing: a continuous function on a closed interval, differentiable in its interior, obeys the mean value theorem, and the real exponential is strictly increasing.
The real exponential function and the number by a power series and The exponential is positive and satisfies : and for every real .
as the set of functions , and , , are metrics on it, The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement, and Open cover, subcover, compact metric space, and compact subset of a metric space: is the usual Euclidean metric, open subsets use its metric topology, and a compact subset is compact in the induced metric, meaning every open cover has a finite subcover.
The triangle inequality and the stated norm: applying to each scaled coordinate and summing gives .
Proof
Differentiating gives . Differentiating this identity once more gives . By [F1], . Therefore [A1] is exactly .
Use the Euclidean phase-space and compact-region conventions of [F8] for the comparison data [A3]. Put and . For each coordinate component , set . The integrand is continuous because it equals by the pointwise ODEs. By [F3], is continuous on , differentiable in its interior, and has derivative zero there. Equality of the initial data gives . The mean value theorem [F6] on therefore gives for each , while this also holds at . Consequently Apply the scalar integral bound of [F4] to each component and add the finitely many inequalities using linearity; then split the integrand as . The field assumptions and [F9] give
The product and chain rules [F2], with and , give Subtracting the equalities and using gives .
If , step 1.2 gives by [F7].
Suppose and define . The function is continuous, so [F3] applies; step 1.2 gives , while [F3] gives for .
Subtract from the reformulated LAD equation in step 1.1. Since , step 2.1 yields Taking Euclidean norms and applying the assumed bounds gives at each The constants do not depend on or , so the estimate is uniform on .
Define . By [F5], [F7], and from step 2.3, on . For each , the mean value theorem [F6] on gives , hence .
For , the mean value theorem and monotonicity of the exponential [F6] give . Therefore step 3.2 yields ; the same bound holds at by . This proves the estimate in the case; together with step 2.2, it covers all . Substituting gives the asserted uniform stability bound.
Depends on
Reduced-order Landau–Lifshitz local ODE and mass shell
Sums, scalar multiples, products and quotients: , , , and when
The chain rule for total derivatives:
A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion
If are integrable on then so are , , , and , and
Integrable functions on form a set closed under sums and scalar multiples, and
If on and both are integrable then ; and
The first fundamental theorem: if is integrable on and continuous at , then ; in particular a continuous has as a primitive
The exponential function is smooth and
The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with
The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with
The exponential function is strictly increasing
The real exponential function and the number by a power series
The exponential is positive and satisfies
as the set of functions , and , , are metrics on it
The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement
Open cover, subcover, compact metric space, and compact subset of a metric space
The triangle inequality