- The paper shows that gain of entrainment is a second-order effect determined by the output map’s curvature and the covariance of oscillatory state trajectories, while first-order effects cancel.
- The paper proves that convex outputs guarantee nonnegative gain and concave outputs guarantee nonpositive gain on the controllable subspace, with applications to RLC circuits and pharmacodynamic dosing.
- For quadratic outputs, the paper derives an exact frequency-domain decomposition, identifies necessary and sufficient sign conditions, and shows that optimal excitation concentrates energy at one frequency and input direction.
Setting and motivation
The paper studies the gain of entrainment (GOE) for a multiple-input, single-output linear control system with a static nonlinear output map—a Wiener system:
xË™=Ax+Bu,y=h(x),
with A Hurwitz, so the system entrains to any T-periodic input. For a T-periodic input v, the GOE is the difference between the time-averaged output along the entrained periodic orbit γv and the output at the equilibrium evˉ generated by the constant input vˉ. A positive GOE means periodic forcing with a given mean outperforms constant actuation at that mean. The authors note that for linear systems with linear outputs GOE is identically zero, and prior work on weakly contractive bilinear systems showed GOE is inherently a second-or-higher-order effect in excitation amplitude (2606.23149). The central question is therefore how nonlinearity confined to the output map can generate nonzero GOE.
Second-order characterization
A key structural fact is that for a stable linear system, the time average of the entrained orbit equals the equilibrium of the averaged input: γv​=evˉ=−A−1Bvˉ. This follows directly from averaging the dynamics over one period. Consequently, all first-order terms cancel: writing uε​(t)=vˉ+εw(t) with zero-mean A0, a Taylor expansion shows
A1
where A2 is the covariance matrix of the periodic orbit about its mean. Thus the leading-order contribution is governed entirely by the curvature of A3 along the oscillatory component of the state trajectory; the gradient of A4 plays no role.
Convexity, Bregman divergence, and sign guarantees
Two consequences follow. First, if A5 is convex (concave) when restricted to the controllable subspace A6—the only region visited by periodic orbits and equilibria—then Jensen's inequality yields A7 (A8) for every periodic input, with strict inequality under strict convexity/concavity and nonconstant orbits. This is a robustness property: the sign guarantee holds regardless of the specific entries of A9 and T0, provided T1 is Hurwitz. Notably, convexity is sufficient but not necessary: the paper exhibits a saddle-type quadratic output (T2) on a fully controllable two-state system whose transfer function nevertheless produces strictly positive GOE for every periodic input.
Second, for T3 the paper establishes an exact identity:
T4
where T5 is the Bregman divergence. GOE is thus a geometric quantity measuring the average gap between the output graph and its tangent plane at the averaged equilibrium. When T6 is negative entropy on the simplex, this becomes the average Kullback–Leibler divergence between the forced orbit and the equilibrium, suggesting a possible link to entropy production in nonequilibrium statistical mechanics—though the paper does not develop this connection formally.
Quadratic outputs: frequency-domain analysis
For T7, the second-order expansion becomes exact and GOE equals the weighted variance T8 of the orbit. For multi-harmonic inputs T9, orthogonality of harmonics gives an additive spectral decomposition:
T0
where T1. Each harmonic contributes independently, so GOE can be estimated from frequency-response data alone without a state-space realization. The paper derives a necessary and sufficient condition for universal nonnegativity: T2 must be positive semidefinite for all T3. Under an energy constraint T4, the optimal excitation places all energy into a single sinusoid at the frequency–direction pair T5 maximizing T6 of this Hermitian matrix, achieving T7; if this quantity is nonpositive, constant input is optimal.
Applications
RLC circuit: with stored energy as the (strictly convex, positive-definite quadratic) output, GOE is provably positive for every nonconstant periodic voltage. The closed-form expression for a sinusoidal input,
T8
shows quadratic growth in amplitude, decay to zero at high frequency, and an optimal driving frequency strictly below the resonance frequency T9.
Pharmacodynamics: for a transit-compartmental model with the saturating Ev0 dose–response map, which is concave on the positive orthant, the theory implies v1 for all nonnegative inputs. Periodic drug administration therefore cannot beat constant dosing with the same average dose in this model class—a practically relevant negative result, confirmed numerically across driving frequencies v2.
Limitations and open questions
The analysis assumes exact linearity of the dynamics; extension to weakly nonlinear systems v3, where nonlinearities enter both dynamics and output, remains open. Interconnected Wiener systems, where inter-subsystem coupling may introduce additional GOE mechanisms, are not treated. Stochastic forcing and its relation to noise-induced fluctuations are unaddressed. More broadly, tractable conditions for GOE in general nonlinear control systems remain an open problem, and the necessity question for sign guarantees (beyond the sufficient convexity condition) is only partially resolved by counterexample.
Conclusion
The paper establishes that in stable Wiener systems, GOE arises from the mismatch between averaging and nonlinear evaluation, is a second-order effect determined by output curvature, admits an exact Bregman-divergence representation, and—for quadratic outputs—decomposes additively over input harmonics with sharp necessary-and-sufficient sign conditions and a closed-form optimal excitation. These results connect entrainment performance to classical frequency-domain tools and yield concrete design guidance for periodic excitation protocols.