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Averaging for a weakly damped oscillator: the rotating-frame amplitude, the averaged exponential energy decay and the order-ε bound on the O(1/ε) time scale

Physical scope

The strictly damped one-dimensional oscillator model m x'' + epsilon gamma x' + k x = 0 with m>0, k>0, small parameter epsilon>0 and fixed gamma>0: the exact rotating-frame amplitude zeta(t) = (omega_0 x + i x') exp(i omega_0 t)/sqrt(2 omega_0) and its slow equation zeta' = epsilon F(t,zeta) with F smooth and periodic in time, the averaged equation zeta' = -(epsilon gamma/(2m)) zeta with the exponential averaged solution, the order-epsilon averaging estimate on the O(1/epsilon) time scale under the stated smallness, trapping and constant hypotheses, and the resulting exponential energy-decay estimate |E(t) - E_0 exp(-epsilon gamma t/m)| <= m omega_0 epsilon K (2|zeta_0|+epsilon K). The result is a conditional finite-time statement about the declared damped model; the averaged system is a different model compared with the exact one, no exact energy decay law is asserted, no measured decay rate or quality factor is reported and no empirical claim is made.

Statement

Adopt the strictly damped oscillator model of The damped oscillator model: a harmonic restoring force with a phenomenological linear drag −cx˙, c≥0 with fixed data m>0, k>0 and drag coefficient c=εγ, where ε>0 and γ>0 are given; its equation is

m x′′(t)+εγ x′(t)+k x(t)=0.

Put ω0:=k/m and identify C with R2. For x>0, write ln⁡x:=log⁡x, where log⁡:(0,∞)→R is the inverse of the real exponential as defined in The natural logarithm as the inverse of the exponential function. For a motion x define the rotating-frame amplitude

ζ(t):=12ω0(ω0x(t)+i x′(t))eiω0t∈C,

and define F:R×C→C by

F(t,ζ):=−iγm eiω0t(cos⁡(ω0t)Im⁡ζ−sin⁡(ω0t)Re⁡ζ).

Here ε is dimensionless, [γ]=μτ−1, [ω0]=τ−1 and [ζ]=ℓτ−1/2. Fix a positive amplitude unit a∗ of this dimension and a time unit t∗. Complex norms and balls mean the Euclidean norm of the real/imaginary coefficients in this common amplitude unit. In clause 3, R,ρ,B,K have the amplitude dimension, M has amplitude per time, L has inverse-time dimension, B1 is dimensionless and P,A have time dimension. Thus LA, γA/(2m) and the logarithm's ratio are dimensionless, A/ε is a physical time and both terms of every energy inequality have energy units. The cited mathematical averaging theorem is applied to the numerical equation for ζ/a∗ as a function of t/t∗; rescaling back gives exactly the constants and inequalities displayed here: the numerical constants are M^=t∗M/a∗, L^=t∗L, P^=P/t∗, A^=A/t∗, B^=B/a∗, B^1=B1 and K^=K/a∗.

Then:

  1. Global motions and the slow system. Every datum (t0,x0,v0)∈R3 has exactly one maximal motion, and it is defined on all of R. The map x↦ζ is a bijection from the motions x:R→R of the model onto the solutions ζ:R→C of the first-order system ζ′=εF(t,ζ), with inverse ζ↦x(t)=2/ω0Re⁡(e−iω0tζ(t)).
  2. Averaging data. F is of class C∞ on R×C, is P-periodic in t with P:=2π/ω0, and its average in the sense of Periodic averaging data: the average field, the oscillatory part and the periodic deviation is Fˉ(ζ)=−γζ/(2m); the averaged system is ζ′=−εγζ/(2m), with the global solution ζˉ(t)=ζ0e−εγt/(2m) for the datum ζ0=ζ(0).
  3. Order-ε estimate on the O(1/ε) time scale. Let ζ0∈C with ∣ζ0∣>0, let 0<ρ<R be real numbers and put M:=γm2 (∣ζ0∣+R),L:=γm2,B:=2MP,B1:=2LP, K:=eLA[B+(LB+B1M)A] for a parameter A>0. Suppose εK<ρ and suppose the averaged solution satisfies ∥ζˉ(t)−ζ0∥2≤R−ρ for every t∈[0,A/ε]; this holds whenever ∣ζ0∣>R−ρ and γA/(2m)≤ln⁡(∣ζ0∣/(∣ζ0∣−(R−ρ))). Then the solution ζ of ζ′=εF(t,ζ) with ζ(0)=ζ0 exists on [0,A/ε] and satisfies ∥ζ(t)−ζˉ(t)∥2≤εK(0≤t≤A/ε).
  4. Energy reading. For every motion the mechanical energy satisfies E(t):=12m x′(t)2+12k x(t)2=mω0∣ζ(t)∣2, so with E0:=E(0)=mω0∣ζ0∣2 the estimate of clause 3 gives ∣E(t)−E0e−εγt/m∣≤mω0 εK(2∣ζ0∣+εK)(0≤t≤A/ε).

The averaged system is a different model from the exact one, and the statements are conditional on the displayed smallness and trapping hypotheses; no exact decay law, no measured decay rate, and no empirical claim is asserted.

Facts & Assumptions

Given: The model data (m,εγ,k), the frequency ω0=k/m, the amplitude map ζ, the field F, the constants ζ0,ρ,R,M,L,B,B1,A,K, and a motion x of the model.

[F1]

Model and global linear theory (The damped oscillator model: a harmonic restoring force with a phenomenological linear drag −cx˙, c≥0, The damped driven oscillator model: second-order equation, phase-plane system and characteristic data, Variation of constants for z′=Az+b(t) via the matrix exponential): the phase system of the model is (x,v)′=A0(x,v) with A0=(01−k/m−εγ/m), a constant real matrix; for every datum (t0,x0,v0) the curve (x,v)(t)=e(t−t0)A0(x0,v0) solves it on all of R, any differentiable solution with that datum agrees with it on its interval, and a curve is a motion if and only if its phase curve solves the system (Extensions, maximal solutions, maximal intervals, and global solutions).

[F3]

Primitives and one-period averages (Every continuous function on an interval has a primitive; two primitives differ by a constant; and ∫abf=G(b)−G(a) for any primitive G, The derivatives of sine and cosine are cosine and minus sine, The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral): on R the functions u↦u/2+sin⁡(2u)/4, u↦u/2−sin⁡(2u)/4 and u↦−cos⁡(2u)/4 are primitives of u↦cos⁡2u, u↦sin⁡2u and u↦sin⁡ucos⁡u; hence with ω0P=2π the one-period averages of cos⁡2(ω0t) and sin⁡2(ω0t) are 1/2 and that of sin⁡(ω0t)cos⁡(ω0t) is 0.

[F4]

Averaging theorem (Averaging for fast periodic oscillations: order-ε agreement on the O(1/ε) time scale and Periodic averaging data: the average field, the oscillatory part and the periodic deviation) with state space O=C≅R2: for a continuous field f:R×O→O with continuous partial derivatives in the state, P-periodic in t, satisfying ∥f(t,ζ)∥2≤M and ∥Dζf(t,ζ)∥≤L for ∥ζ−ζ0∥2≤R (Open ball, closed ball and sphere in a metric space, The operator norm as the least bound and as the unit-sphere or unit-ball supremum), and for a solution ζˉ of ζˉ′=εfˉ(ζˉ) with ζˉ(0)=ζ0 that lies in B‾(ζ0,R−ρ) on [0,A/ε], the hypothesis εK<ρ with K=eLA[B+(LB+B1M)A], B=2MP, B1=2LP, implies that the solution of ζ′=εf(t,ζ), ζ(0)=ζ0 exists on [0,A/ε] and satisfies ∥ζ(t)−ζˉ(t)∥2≤εK there.

[F5]

Elementary analysis (The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn, Vector-valued functions f:A→Rm, their limits and continuity, with the dictionary to the metric notions, Ck Euclidean maps and diffeomorphisms, Intervals of R: the nine order-convex forms, nondegeneracy, and length): the Euclidean norm on C≅R2 satisfies ∣Re⁡w∣+∣Im⁡w∣≤2 ∣w∣ and the reverse triangle inequality; the map F of the statement is smooth because it is real-linear in ζ with smooth coefficients; and a real-linear map of the form h↦−(iγ/m)eiω0t(cos⁡(ω0t)Im⁡h−sin⁡(ω0t)Re⁡h) has operator norm at most (γ/m)2.

[F6]

Logarithm and exponential order: ln⁡ is the natural logarithm of The natural logarithm as the inverse of the exponential function, the inverse of exp⁡ on (0,∞). Since exp⁡ is strictly increasing (The exponential function is strictly increasing) and exp⁡(−x)=1/exp⁡(x) (The exponential is positive and satisfies exp⁡(−x)=1/exp⁡(x)), for r>R−ρ>0 the condition γA2m≤ln⁡ ⁣(rr−(R−ρ)) is equivalent to r(1−e−γA/(2m))≤R−ρ.

Proof

technique · direct; conjugate the equation by the rotating frame, identify the resulting slow system and its average, bound the data on the stated ball, apply the averaging theorem, and convert the amplitude estimate to the energy estimate
1.1F1F2givenalgebra

Identification of the slow system. Let x be a motion and put u(t):=ω0x(t)+ix′(t), so that ζ=eiω0tu/2ω0 and Im⁡u=2ω0(cos⁡(ω0t)Im⁡ζ−sin⁡(ω0t)Re⁡ζ) by [F2]. From x′′=−ω02x−(εγ/m)x′ of the model, u′=ω0x′+ix′′=ω0x′−iω02x−iεγmx′=−iω0u−iεγmIm⁡u, so differentiating ζ with the product and chain rules of [F2] gives ζ′=−iεγmeiω0t2ω0Im⁡u=εF(t,ζ). Conversely, if ζ solves ζ′=εF(t,ζ) and u:=2ω0e−iω0tζ, then u′=−iω0u−i(εγ/m)Im⁡u, so x:=Re⁡(u)/ω0 satisfies x′=Re⁡(u′)/ω0=Im⁡u and x′′=Im⁡(u′)=−ω0Re⁡u−(εγ/m)Im⁡u=−ω02x−(εγ/m)x′, that is, x is a motion with the stated inverse formula. The two constructions are inverse to each other because x and x′ are recovered from ζ and ζ is recovered from x,x′.

1.2F3F4F5algebra

Smoothness, periodicity and average. F is smooth on R×C because ζ↦F(t,ζ) is real-linear and the coefficients t↦eiω0tcos⁡(ω0t) and t↦eiω0tsin⁡(ω0t) are smooth; it is P-periodic with P=2π/ω0 because eiω0(t+P)=eiω0t and cos⁡(ω0(t+P))=cos⁡(ω0t), sin⁡(ω0(t+P))=sin⁡(ω0t). Expanding the product, F(t,ζ)=γm(sin⁡(ω0t)cos⁡(ω0t)Im⁡ζ−sin⁡2(ω0t)Re⁡ζ)−iγm(cos⁡2(ω0t)Im⁡ζ−sin⁡(ω0t)cos⁡(ω0t)Re⁡ζ), so by [F3] the one-period average of the first bracket is −γRe⁡ζ/(2m) and that of the second is −γIm⁡ζ/(2m), giving Fˉ(ζ)=−γ2m(Re⁡ζ+iIm⁡ζ)=−γ2mζ. The averaged system is linear with constant coefficient and has the displayed global exponential solution. This is clause 2.

1.3F5givenalgebra

Bounds on the ball. For ∣ζ−ζ0∣≤R one has ∣ζ∣≤∣ζ0∣+R, so ∥F(t,ζ)∥2=γm∣cos⁡(ω0t)Im⁡ζ−sin⁡(ω0t)Re⁡ζ∣≤γm(∣Im⁡ζ∣+∣Re⁡ζ∣)≤γm2 (∣ζ0∣+R)=M. The state derivative is DζF(t,ζ)h=−(iγ/m)eiω0t(cos⁡(ω0t)Im⁡h−sin⁡(ω0t)Re⁡h), whose modulus is at most (γ/m)2 ∣h∣ by the same inequality, so ∥DζF(t,ζ)∥≤L=(γ/m)2 by [F5].

2.1F1step 1.1given

Existence and uniqueness. By [F1] every datum has exactly one maximal motion and it is defined on all of R; by step 1.1 its amplitude solves the slow system on R with the datum ζ(0), and distinct motions have distinct amplitudes. Conversely a solution of the slow system on R produces a motion by step 1.1; this proves the bijection of clause 1.

3.1F2F3F4F6step 1.2step 1.3step 2.1givenalgebra

Averaged trajectory and the estimate. The averaged solution is ζˉ(t)=ζ0e−εγt/(2m), and its distance from ζ0 is ∣ζ0∣(1−e−εγt/(2m)). Thus the trajectory stays in the required ball exactly when the endpoint displacement is at most R−ρ; [F6] gives the equivalent logarithmic sufficient condition in clause 3. Apply the numerical rescaling specified in the Statement; write its numerical variables and constants without hats in this argument. The exact amplitude is already global by step 2.1. For g(t,w):=∫0t(F(s,w)−Fˉ(w))ds, periodicity and the vanishing one-period integral give g(0,w)=0, ∣g(t,w)∣≤2MP=B and ∥Dwg(t,w)∥≤2LP=B1 on ∣w−ζ0∣≤R: reduce t modulo P and integrate the bounds 2M, 2L on the remaining interval. Smoothness of F justifies differentiating this primitive in w. Before the first exit of the global exact amplitude from this ball, put d=ζ−εg(t,ζ) and w=d−ζˉ. The chain rule gives w′=ε(Fˉ(ζ)−Fˉ(ζˉ))−ε2Dwg(t,ζ)F(t,ζ), with w(0)=0, hence ∣w(t)∣≤∫0t(εL∣w(s)∣+ε2(LB+B1M))ds. Put a=εL and b=ε2(LB+B1M), and r(t)=∫0t(a∣w(s)∣+b)ds. Then ∣w∣≤r, r(0)=0, r′≤ar+b and (e−atr(t))′≤be−at; integration gives ∣w(t)∣≤r(t)≤bteat=ε2(LB+B1M)teεLt. Thus on 0≤t≤A/ε before any exit, ∣ζ−ζˉ∣≤ε[B+(LB+B1M)AeLA]≤εK. At a first exit time in this horizon, continuity would imply R=∣ζ−ζ0∣≤εK+(R−ρ)<R, a contradiction. There is no finite-existence-endpoint issue because the exact curve is global. The estimate therefore holds over the whole horizon; undoing the explicitly stated time/amplitude rescaling gives clause 3 with its physical units.

4.1F2step 3.1algebra

Energy identity and estimate. With ζ=(1/2ω0)(ω0x+ix′)eiω0t one has 2ω0∣ζ∣2=ω02x2+x′2 by [F2], hence mω0∣ζ∣2=12mx′2+12mω02x2=12mx′2+12kx2=E. For 0≤t≤A/ε, ∣ ∣ζ(t)∣2−∣ζˉ(t)∣2∣=∣∣ζ(t)∣−∣ζˉ(t)∣∣(∣ζ(t)∣+∣ζˉ(t)∣)≤εK(2∣ζ0∣+εK), because ∣ζ(t)∣≤∣ζˉ(t)∣+εK≤∣ζ0∣+εK; multiplying by mω0 and using mω0∣ζˉ(t)∣2=E0e−εγt/m gives the displayed energy estimate; this is clause 4.

5.1step 2.1step 1.2step 3.1step 4.1∎

Clauses 1-4 are proved. The averaged equation defines a different model from the exact one; the estimate is finite-time, of order ε in the amplitude, and holds only on the stated horizon under the smallness and trapping hypotheses; no exact decay law and no empirical qualification is asserted.

Remarks

  • Why the time scale is O(1/ε). The averaged amplitude decays at the rate εγ/(2m), so on the horizon t≤A/ε the averaged energy falls by the definite factor e−γA/m of order one: genuinely long times compared with the oscillation period 2π/ω0, which is where weak damping acts. The estimate does not continue to hold for t≫A/ε without new hypotheses.

  • The averaged system is not the exact system. The theorem compares two explicitly specified initial value problems and bounds their difference by εK; it does not identify them. The exact model is linear with a known closed-form solution whose action decreases monotonically with an oscillatory component, whereas the averaged action decreases exactly exponentially; the comparison is a controlled approximation, not an exact conservation law.

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