10 · Forcing and Linear Response
Chapter 10

Forcing and Linear Response

10.1The Homogeneous Family Behind a Forced Equation

  • Open with Newton cooling supplied by a constant heater. The input shifts the equilibrium, while every solution differs from that equilibrium by a homogeneous cooling history.

  • Compare the result with 𝐴𝐱 =𝐛: one particular solution plus a solution of 𝐴𝐱 =0. For differential equations, prove that two solutions with the same forcing differ by a homogeneous solution, and conclude that every solution is one particular solution plus a homogeneous solution.

  • Describe the forced solution family as an affine translate of the homogeneous solution space. Keep the language of null spaces, bases, and translates from ordinary linear algebra without introducing a differential operator or its kernel.

  • Use this affine description as the starting point for constructing responses to time-dependent forcing later in the chapter.

Figure 10.1 In the live figure, change 𝑏 in either panel. The solutions of 𝑥 +2𝑦 =𝑏 form a line obtained by translating the null space of 𝑥 +2𝑦 =0. The solutions of 𝑦′ +𝑦 =𝑏 form a family obtained by translating the homogeneous solutions of 𝑦′ +𝑦 =0. Changing 𝑏 translates both solution sets while their homogeneous parts remain fixed.

10.2Equilibrium Shifts in Linear Systems

  • Build the greenhouse-air and rock-bed model 𝑈′ =𝐾𝑈 +𝑏 from heat exchange. Find its equilibrium 𝑈∗ and shift to the deviation 𝑉 =𝑈 −𝑈∗, which satisfies the homogeneous system 𝑉′ =𝐾𝑉.

  • Use the already-developed homogeneous flow to write 𝑈(𝑡) =𝑈∗ +Φ(𝑡)(𝑈0 −𝑈∗). Interpret this as an equilibrium plus a freely evolving deviation.

  • Keep the application focused on the relationship between forced and free response. Do not repeat the construction of the flow matrix or the earlier development of eigenvalues, eigenvectors, and modes.

  • Retain connected mixing tanks as a possible substantial problem: derive the forced system, find its equilibrium, subtract it, and reuse its homogeneous flow.

  • Use the equilibrium shift as a simple entry into the chapter's larger question: how does a linear system transform a changing external input into an observable response?