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Decoupling of the constant-coefficient quadratic system Mq′′+Kq=0 into normal modes, with the zero-mode and energy identities

Statement

Let n≥1, let M∈Mn(R) be symmetric positive definite and let K∈Mn(R) be symmetric and non-negative, that is vTKv≥0 for all v∈Rn. Let M1/2, M−1/2 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

S:=M−1/2KM−1/2.

By the real spectral theorem choose an orthogonal matrix O and a diagonal matrix Λ=diag⁡(λ1,…,λn) with S=OΛOT and λi≥0 for all i.

Let I⊆R contain at least two points and satisfy r,s∈I, r≤u≤s⟹u∈I for all r,s,u∈R; suppose also 0∈I. Let q:I→Rn 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 z:=OTM1/2q. Then:

  1. q satisfies the quadratic system Mq′′+Kq=0 on I if and only if z satisfies the decoupled system

zi′′+λizi=0(1≤i≤n)

on I; 2. for every i the solutions of the scalar equation in clause 1 on an interval containing 0, with prescribed initial data, are exactly as follows:

zi(t)=aicos⁡(ωit)+bisin⁡(ωit)with ωi:=λi>0 when λi>0,

equivalently zi(t)=Re⁡(Cieiωit) with Ci=ai−ibi∈C, and

zi(t)=ai+bitwhen λi=0;

the coefficients are ai=zi(0), bi=zi′(0)/ωi for λi>0 and bi=zi′(0) for λi=0, so the displayed families cover every initial datum and are the complete solution sets for the first-order system (zi,zi′)′=(zi′,−λizi); 3. consequently every solution of Mq′′+Kq=0 is q=M−1/2Oz for a unique choice of the modal solutions of clause 2, and the correspondence between initial data (q(0),q′(0))∈R2n and the coefficient tuples (ai,bi) is a bijection; 4. for every solution the modal energies Ei:=12(zi′2+λizi2) are constant on I, and so are

12q˙TMq˙+12qTKq=12∣z′∣22+12∑i=1nλizi2=∑i=1nEi.

Facts & Assumptions

Given: The symmetric positive definite M, the symmetric non-negative K, the orthogonal diagonalisation S=OΛOT with Λ=diag⁡(λ1,…,λn), λi≥0, the set I with the stated interval property, and the curve q:I→Rn with two continuous domain-relative derivatives and z=OTM1/2q.

[F1]

M1/2, M−1/2 exist, are symmetric positive definite, (M1/2)2=M, (M−1/2)2=M−1 and M−1/2MM−1/2=In; S 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 O may be taken orthogonal with OT=O−1 and S=OΛOT (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 In, including zero-sized shapes).

[F3]

Sine and cosine have derivatives sin⁡′=cos⁡, cos⁡′=−sin⁡ with sin⁡0=0, cos⁡0=1; and eiθ=cos⁡θ+isin⁡θ, so acos⁡θ+bsin⁡θ=Re⁡((a−ib)eiθ) (The derivatives of sine and cosine are cosine and minus sine, exp⁡(x+iy)=ex(cos⁡y+isin⁡y), ∣exp⁡(x+iy)∣=ex, and eiπ+1=0, The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn).

[F4]

Every initial value problem of the linear first-order system (zi,zi′)′=(zi′,−λizi) satisfies the Picard-Lindelöf hypotheses, so it has a unique maximal solution; a solution defined on all of R 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

technique · direct; transform the system by the square root of $M$, diagonalise the transformed stiffness and solve the scalar equations with a uniqueness argument
1.1givenF1F2algebra

Since q=M−1/2Oz (equivalently z=OTM1/2q), differentiating twice with the chain rule [F2] gives q′′=M−1/2Oz′′, hence Mq′′+Kq=M1/2Oz′′+KM−1/2Oz=M1/2O(z′′+OTM−1/2KM−1/2Oz)=M1/2O(z′′+Λz), where we used M=M1/2M1/2, OT=O−1 and S=OΛOT [F1]. As M1/2O is invertible, Mq′′+Kq=0 if and only if z′′+Λz=0, which is the decoupled system of clause 1.

1.2F2F3algebra

The scalar equation for λi>0: by [F3] and the chain rule, d2dt2(acos⁡ωit+bsin⁡ωit)=−ωi2(acos⁡ωit+bsin⁡ωit)=−λizi(t), so the displayed family solves zi′′+λizi=0 on R. For λi=0 the affine functions solve zi′′=0 by direct differentiation. In both cases the coefficients listed in clause 2 realize the initial data (zi(0),zi′(0)).

2.1step 1.2F2F4algebra

Completeness in the scalar case: let u solve u′′+λiu=0 with u(0)=u′(0)=0. For λi>0 define Φ(t):=12u′(t)2+12λiu(t)2; by [F2], Φ′=u′(u′′+λiu)=0, so Φ is constant and equal to Φ(0)=0; both summands are non-negative, so u=0. For λi=0, u′′=0 gives u′=const=0 and then u=const=0 by [F2]. Hence two solutions with the same initial data coincide on the intersection of their intervals. Now let z be any maximal solution of the scalar first-order system; the explicit solution w of clause 2 with the same initial data is defined on all of R, and by uniqueness w is the restriction of z; since w is defined on R, the maximal domain is R and z=w. Thus the displayed families are exactly the solution sets, which is clause 2.

2.2step 1.12.1F1algebra

Clause 3 follows from clauses 1 and 2 together with the identity q=M−1/2Oz: the map (q(0),q′(0))↦(z(0),z′(0)) is the linear bijection given by z(0)=OTM1/2q(0), z′(0)=OTM1/2q′(0), and the map (z(0),z′(0))↦(ai,bi) is bijective by the formulas of clause 2.

3.1step 1.1F1F2algebra∎

Clause 4: for a solution, ddtEi=zi′(zi′′+λizi)=0 by [F2], so each Ei is constant. Moreover, using q′=M−1/2Oz′ and [F1], q˙TMq˙=(M−1/2Oz′)TM(M−1/2Oz′)=∣z′∣22,qTKq=(M−1/2Oz)TK(M−1/2Oz)=zTΛz=∑iλizi2, because OTO=In and M−1/2MM−1/2=In. Adding the two identities and halving gives the displayed chain of equalities.

Remarks

Depends on

Dependency tree · 2 levels

Sources