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.
Decoupling of the constant-coefficient quadratic system into normal modes, with the zero-mode and energy identities
Statement
Let , let be symmetric positive definite and let be symmetric and non-negative, that is for all . Let , be the square roots of Positive definite symmetric matrices have positive definite square roots, and the congruence M^{-1/2} K M^{-1/2} preserves symmetry and positivity and let
By the real spectral theorem choose an orthogonal matrix and a diagonal matrix with and for all .
Let contain at least two points and satisfy for all ; suppose also . Let be twice differentiable with continuous first and second domain-relative derivatives, in the sense of The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral. Put . Then:
- satisfies the quadratic system on if and only if satisfies the decoupled system
on ; 2. for every the solutions of the scalar equation in clause 1 on an interval containing , with prescribed initial data, are exactly as follows:
equivalently with , and
the coefficients are , for and for , so the displayed families cover every initial datum and are the complete solution sets for the first-order system ; 3. consequently every solution of is for a unique choice of the modal solutions of clause 2, and the correspondence between initial data and the coefficient tuples is a bijection; 4. for every solution the modal energies are constant on , and so are
Facts & Assumptions
Given: The symmetric positive definite , the symmetric non-negative , the orthogonal diagonalisation with , , the set with the stated interval property, and the curve with two continuous domain-relative derivatives and .
, exist, are symmetric positive definite, , and ; is symmetric and non-negative (Positive definite symmetric matrices have positive definite square roots, and the congruence M^{-1/2} K M^{-1/2} preserves symmetry and positivity). A symmetric real matrix is self-adjoint, and the real spectral theorem gives an orthonormal eigenbasis, so may be taken orthogonal with and (Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis, Self-adjoint and normal endomorphisms of a finite-dimensional real or complex inner product space, Rectangular matrix multiplication and the identity matrix , including zero-sized shapes).
Calculus of curves: derivatives are computed componentwise, sums and scalar multiples behave as expected, the chain rule computes derivatives of composites, and a differentiable curve on an interval whose derivative vanishes is constant (The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral, The chain rule for total derivatives: , A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant).
Sine and cosine have derivatives , with , ; and , so (The derivatives of sine and cosine are cosine and minus sine, , , and , The Euclidean inner product on ).
Every initial value problem of the linear first-order system satisfies the Picard-Lindelöf hypotheses, so it has a unique maximal solution; a solution defined on all of through the given data is therefore the maximal solution (Every Picard–Lindelöf initial value problem has one maximal solution on an open interval, First-order systems, initial value problems, and solutions on intervals).
Proof
Since (equivalently ), differentiating twice with the chain rule [F2] gives , hence where we used , and [F1]. As is invertible, if and only if , which is the decoupled system of clause 1.
The scalar equation for : by [F3] and the chain rule, so the displayed family solves on . For the affine functions solve by direct differentiation. In both cases the coefficients listed in clause 2 realize the initial data .
Completeness in the scalar case: let solve with . For define ; by [F2], , so is constant and equal to ; both summands are non-negative, so . For , gives and then by [F2]. Hence two solutions with the same initial data coincide on the intersection of their intervals. Now let be any maximal solution of the scalar first-order system; the explicit solution of clause 2 with the same initial data is defined on all of , and by uniqueness is the restriction of ; since is defined on , the maximal domain is and . Thus the displayed families are exactly the solution sets, which is clause 2.
Clause 3 follows from clauses 1 and 2 together with the identity : the map is the linear bijection given by , , and the map is bijective by the formulas of clause 2.
Clause 4: for a solution, by [F2], so each is constant. Moreover, using and [F1], because and . Adding the two identities and halving gives the displayed chain of equalities.
Remarks
-
The transformation is the one used for small oscillations: diagonalises the symmetric matrix , whose eigenvalues are non-negative by Positive definite symmetric matrices have positive definite square roots, and the congruence M^{-1/2} K M^{-1/2} preserves symmetry and positivity clause 4. A zero eigenvalue produces a free affine mode , not an oscillation, and negative eigenvalues cannot occur for non-negative ; for an indefinite the corresponding scalar equation has real exponential solutions.
-
Clause 1 is an exact equivalence for the constant-coefficient system. It asserts nothing about a configuration-dependent kinetic metric or a nonlinear potential; the reduction of a small-oscillation linearisation to this theorem is the content of Linearisation of the mechanical system at an equilibrium: M(q_0) xi'' + D²U(q_0) xi = 0, and the small-oscillation quadratic model, and the theorem itself makes no long-time approximation claim about any nonlinear system.
Depends on
Positive definite symmetric matrices have positive definite square roots, and the congruence M^{-1/2} K M^{-1/2} preserves symmetry and positivity
Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis
Self-adjoint and normal endomorphisms of a finite-dimensional real or complex inner product space
The derivatives of sine and cosine are cosine and minus sine
, , and
The chain rule for total derivatives:
A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant
Every Picard–Lindelöf initial value problem has one maximal solution on an open interval
First-order systems, initial value problems, and solutions on intervals
The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
The Euclidean inner product on
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
Euclidean maps and diffeomorphisms
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)-(8.79): decoupling M q'' + W q = 0 by V M^{-1/2} W M^{-1/2} and the mode energies
- D. Tong, Classical Dynamics (Cambridge lecture notes, January 2015 version), Section 2.6 (normal modes and the mode frequencies), printed pages 40-45