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.
Linearisation of the mechanical system at an equilibrium: M(q_0) xi'' + D²U(q_0) xi = 0, and the small-oscillation quadratic model
Statement
Let , let be open, let be a field of symmetric positive definite matrices, let be , and let be a mechanical equilibrium, that is (The mechanical first-order field, Lagrangian and energy of a configuration-dependent kinetic metric in a chart). Let be the mechanical vector field on . Then:
- is totally differentiable at (The total (Fréchet) derivative as the linear first-order approximation with remainder) and, writing for the Hessian matrix (The Hessian matrix and critical points of a scalar field),
- consequently the linearised equation at the equilibrium is
a constant-coefficient system whose mass matrix is symmetric positive definite and whose stiffness matrix is symmetric (The Hessian of a scalar field is symmetric); 3. if in addition is a strict local minimum of , then is non-negative, so the hypotheses of Decoupling of the constant-coefficient quadratic system into normal modes, with the zero-mode and energy identities are satisfied by and , and the linearised system is exactly the constant-coefficient quadratic system of that theorem with mass matrix and stiffness ; its modes are the normal modes of the linearisation.
Facts & Assumptions
Given: The kinetic metric field , the potential , the equilibrium , and the vector field with , .
Regularity: under the stated hypotheses is of class on (the inverse has entries polynomial in the entries of divided by the nonvanishing continuous function ), hence totally differentiable at every point (The mechanical first-order field, Lagrangian and energy of a configuration-dependent kinetic metric in a chart, 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).
At : and its -derivative vanishes, because is a quadratic form in vanishing identically at ; similarly is quadratic in , so it and both of its first partial derivatives vanish at (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, The Euclidean inner product on , Rectangular matrix multiplication and the identity matrix , including zero-sized shapes).
At the equilibrium and the total derivative of is the Hessian matrix , symmetric (The Hessian matrix and critical points of a scalar field, The Hessian of a scalar field is symmetric, The total (Fréchet) derivative as the linear first-order approximation with remainder).
At a strict local minimum, and is non-negative (A C² local minimum has vanishing gradient and positive semidefinite Hessian); and the constant-coefficient system with symmetric positive definite and symmetric non-negative is decoupled by Decoupling of the constant-coefficient quadratic system into normal modes, with the zero-mode and energy identities.
Proof
The linearisation of at is . We compute the two partial derivatives of with .
At , by [F2] and the equilibrium condition. Hence and by [F2] and [F3] the derivative of in at is . Hence .
Similarly because again kills the derivative of along ; and because both and are quadratic in with vanishing first -derivative at [F2]. Therefore , which is clause 1.
Clause 2: the linearised first-order system is , ; eliminating and multiplying by the invertible matrix gives . The matrix is symmetric by [F3], and is symmetric positive definite by hypothesis; the stiffness need not be non-negative, and no normal-mode conclusion is drawn at this point.
Clause 3: if is a strict local minimum, [F4] shows that is non-negative; with the hypotheses of the quadratic-mode theorem are exactly satisfied (symmetric positive definite mass and symmetric non-negative stiffness), and its clauses describe the normal modes of the linearisation.
Remarks
-
The linearisation is a mathematical object: it is the derivative of the model field at the equilibrium, and the replacement of the nonlinear system by its linearisation is an approximation whose error is not controlled here. In particular clause 3 does not assert that the nonlinear system's solutions remain close to the normal modes for all time; the exact quadratic calculation alone gives no long-time error bound.
-
If the equilibrium is not a minimum, may have positive and negative eigenvalues; the linearised modes then include real exponential directions. Stability conclusions from such a linearisation are the subject of An equilibrium whose linearisation has all eigenvalues in the open left half-plane is locally exponentially stable and A hyperbolic equilibrium whose linearisation has an eigenvalue with positive real part is unstable, which require hyperbolicity and do not apply to the pure oscillation case of clause 3.
Depends on
The mechanical first-order field, Lagrangian and energy of a configuration-dependent kinetic metric in a chart
A C² local minimum has vanishing gradient and positive semidefinite Hessian
Decoupling of the constant-coefficient quadratic system into normal modes, with the zero-mode and energy identities
The Hessian of a scalar field is symmetric
The Hessian matrix and critical points of a scalar field
The total (Fréchet) derivative as the linear first-order approximation with remainder
The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
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 a unit, then
Euclidean maps and diffeomorphisms
The Euclidean inner product on
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 8.4, formulas (8.76)-(8.77): linearisation of the potential at a critical point, M q'' + W q = 0 with W the Hessian
- D. Tong, Classical Dynamics (Cambridge lecture notes, January 2015 version), Section 2.6, equations (2.113)-(2.116): expansion of the equation of motion about an equilibrium