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Finite-time error control for the small-oscillation approximation: the quadratic remainder of the mechanical field and the variation-of-constants bound
Finite-time error control for the small-oscillation model of a mechanical system in a chart at a mechanical equilibrium: for a C^3 kinetic metric field and a C^3 potential with vanishing gradient at q_0, the mechanical field is C^2 near the equilibrium, its Taylor remainder at the linearization is quadratic with constants obtained from compactness, and the finite-time variation-of-constants estimate bounds the difference between the nonlinear motion and the linearized (normal-mode) motion by C delta^2 t exp((||A||+2L)t) on every horizon T with delta exp(LT)<r_0. The statement is a conditional finite-time estimate for the declared chart model under explicit regularity and smallness hypotheses; it asserts no all-time validity of the linear approximation, no stability conclusion, no large-data statement and no empirical claim, and the constants depend on the model data only through its behaviour on the stated ball.
Statement
Fix positive coordinate units , a time unit and an energy unit as in The coupled quadratic oscillator model: mass metric, stiffness, generalized force, modal vocabulary and the small-oscillation model at a mechanical equilibrium. Throughout this theorem , and are dimensionless numerical chart and phase coordinates. and are the corresponding normalized metric and potential specified in that definition. In particular is a vector in one Euclidean numerical space; below refer to that space and numerical time. All constants are calculated after this normalization. If the numerical error bound is , its physical position and velocity components are bounded respectively by and at physical time . Fixed positive linear coordinate/time changes preserve the stated regularity and mechanical equation, so no original chart model is excluded.
Let , let be open, let be a field of class with symmetric positive definite for every , and let be of class with at a point . Let be the mechanical vector field of The mechanical first-order field, Lagrangian and energy of a configuration-dependent kinetic metric in a chart on , let satisfy and define by . Put . Then:
- is of class , , is locally Lipschitz in the state variable, and moreover there are constants with one may take (The operator norm as the least bound and as the unit-sphere or unit-ball supremum) and for any Lipschitz constant of on the closed ball (Open ball, closed ball and sphere in a metric space).
- For every datum with and every with , the maximal solution of with is defined on (Extensions, maximal solutions, maximal intervals, and global solutions) and satisfies, for every , where and solves , . Thus is the linear approximation translated back to the original chart.
- Writing for the displacement linear solution of clause 2, the first component is exactly the unique motion of the small-oscillation model at of clause (d) of The coupled quadratic oscillator model: mass metric, stiffness, generalized force, modal vocabulary and the small-oscillation model at a mechanical equilibrium with datum : is on with , and .
No all-time statement, no statement for data violating the smallness condition , and no value of any measured quantity is asserted.
Facts & Assumptions
Given: The metric field , the potential with , the mechanical field , the radius , the translated field , the matrix and a datum with .
Regularity of the mechanical field (The mechanical first-order field, Lagrangian and energy of a configuration-dependent kinetic metric in a chart): with ; the maps , , , , and are respectively , , , , and under the stated hypotheses, because has entries polynomial in the entries of divided by the nonvanishing continuous function (If is a unit, then , If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, Euclidean maps and diffeomorphisms); hence and are , so is locally Lipschitz in the state variable (Local Lipschitz continuity in the state variable, locally uniform in time and parameters).
Linearization and equality of derivatives (Linearisation of the mechanical system at an equilibrium: M(q_0) xi'' + D²U(q_0) xi = 0, and the small-oscillation quadratic model clauses 1-2): is totally differentiable at and ; is symmetric (The Hessian of a scalar field is symmetric, The Hessian matrix and critical points of a scalar field). Since is the translation of to the equilibrium, and because is an equilibrium.
Compactness and mean value (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line, The mean value inequality: if is continuous and differentiable on with , then , Open ball, closed ball and sphere in a metric space): the closed ball is a compact convex subset of the open domain of ; a continuous real function on it attains its maximum, and a continuous map with on the ball satisfies there.
Fundamental theorem along rays (If is differentiable with integrable then ; and a bounded derivative makes Lipschitz, For and integrable when , ; for , is integrable, The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral): for the curve on is with derivative , and
Finite-time linearization bound (Finite-time linearization error bound: quadratic remainder, exponential growth bound and the variation-of-constants estimate with state dimension ): for the open domain of , the constants and the matrix of the statement, the maximal solution of , is defined on whenever , it satisfies there, and for , where solves , ; every initial value problem has a unique maximal solution (Every Picard–Lindelöf initial value problem has one maximal solution on an open interval, Extensions, maximal solutions, maximal intervals, and global solutions).
Model dictionary (The coupled quadratic oscillator model: mass metric, stiffness, generalized force, modal vocabulary and the small-oscillation model at a mechanical equilibrium clauses (b), (d)): the small-oscillation model at is the coupled quadratic model with mass metric matrix and stiffness , whose phase system is with the displayed block matrix ; a curve is a motion of it if and only if , with the datum read off .
Proof
Proof technique: direct; prove the quadratic-remainder bounds for the translated mechanical field by compactness and the fundamental theorem along rays, then apply the finite-time linearization theorem and identify the linear solution with the small-oscillation motion.
Clauses 1 and the derivative identity: by [F1] the translated field is on its open domain and locally Lipschitz; and with the displayed block form are [F2].
Quantitative remainder and growth bounds: since is , is , hence continuous on the compact ball ; thus is finite, and is Lipschitz on the convex ball with some finite constant (each entry of has continuous gradient and is Lipschitz on the ball by [F3] with the supremum of that gradient; a finite sum of such bounds bounds ). For , [F4] applied to the curve , whose derivative is , gives hence ; and with [F3] gives . This proves the bounds of clause 1 with .
The finite-time bound: apply [F5] to , the constants , the matrix and the displaced datum of norm . The maximal solution of is defined on and obeys the error bound against . Translating back gives , the physical phase solution through ; has exactly the same translation, so ; this is clause 2.
Identification of the linear solution: by [F2] the matrix is the block matrix ; the displacement linear solution of , therefore satisfies , hence , equivalently , with , ; by [F6] this is exactly the motion of the small-oscillation model with that datum, and it is unique by the model's phase-system uniqueness. This is clause 3.
Clauses 1-3 are proved. The estimate is a finite-time statement under the explicit smallness hypothesis ; the constants exist by compactness and are not asserted to be optimal, and no long-time, stability or empirical conclusion is drawn.
Remarks
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Where the exponential factor comes from. The linearized flow itself may grow exponentially at rate (an unstable equilibrium included), and the nonlinear remainder is controlled by the Lipschitz growth of the solution; the product is the displayed rate . On a fixed horizon this rate is a constant, and the bound is of order in the initial displacement.
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Constant versus asymptotic statements. The theorem fixes a horizon and shrinks the datum; it does not assert that the nonlinear motion stays close to the linear one for all time, nor that a small initial displacement produces a small displacement later. Such all-time statements are separate problems (for the stable case they concern nonlinear stability, for the unstable case nonlinear instability) and are not obtained from this estimate.
Depends on
The coupled quadratic oscillator model: mass metric, stiffness, generalized force, modal vocabulary and the small-oscillation model at a mechanical equilibrium
Finite-time linearization error bound: quadratic remainder, exponential growth bound and the variation-of-constants estimate
Linearisation of the mechanical system at an equilibrium: M(q_0) xi'' + D²U(q_0) xi = 0, and the small-oscillation quadratic model
The mechanical first-order field, Lagrangian and energy of a configuration-dependent kinetic metric in a chart
The Hessian matrix and critical points of a scalar field
The Hessian of a scalar field is symmetric
Local Lipschitz continuity in the state variable, locally uniform in time and parameters
The operator norm as the least bound and as the unit-sphere or unit-ball supremum
Open ball, closed ball and sphere in a metric space
Euclidean maps and diffeomorphisms
The mean value inequality: if is continuous and differentiable on with , then
Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
If is a unit, then
If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative
If is differentiable with integrable then ; and a bounded derivative makes Lipschitz
For and integrable when , ; for , is integrable
The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
Every Picard–Lindelöf initial value problem has one maximal solution on an open interval
Extensions, maximal solutions, maximal intervals, and global solutions
The Euclidean inner product on
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
Intervals of : the nine order-convex forms, nondegeneracy, and length
Dependency tree · 2 levels
Sources
- G. Teschl, Ordinary Differential Equations and Dynamical Systems (AMS Graduate Studies in Mathematics 140, online edition), Section 2.4, Theorem 2.10 and Section 6.2: smooth dependence, the first variational equation and the linearization estimates, printed pages 45-48 and 190-197
- I. Stewart, Advanced Classical Mechanics (MIT 8.09/8.309 Fall 2014 course text), Chapter 7, Section 7.1.3, printed pages 147-148 (PDF pages 150-151): the linearised oscillator and the limits of linear reasoning
- K. K. Likharev, Essential Graduate Physics, Part CM: Classical Mechanics (title page last edited September 1, 2026), Chapter 3, Section 3.2, Eqs. (3.8)-(3.23), chapter pages 2-8 (PDF pages 34-40): the Taylor expansion of the potential about a fixed point and the linearised equation, with the warning that a nondegenerate minimum does not by itself prove nonlinear stability