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Collocation tableau from distinct quadrature nodes

Definition

Let M,d≥1, let 0≤c1<⋯<cM≤1 be distinct collocation nodes, and let ℓ1,…,ℓM be their cardinal polynomials from Cardinal-polynomial interpolation. Define Qij:=∫0ciℓj(s) ds,bj:=∫01ℓj(s) ds. The matrix Q∈RM×M and vector b∈RM are the collocation tableau coefficients. For an IVP y′=f(t,y) with f:D→Rd on the open time-state domain D of First-order systems, initial value problems, and solutions on intervals, fix (t,u)∈D and a step h>0. A stage vector U∈(Rd)M is admissible only when (t+cjh,Uj)∈D for every j. On this admissible set write Fj(U):=f(t+cjh,Uj),QF(U):=(∑j=1MQijFj(U))i=1M. All displayed integrals use the oriented Riemann convention of The integral with oriented limits: ∫aaf:=0 and ∫baf:=−∫abf. In particular Qij=0 when ci=0, and the integral in uh vanishes at τ=0. The collocation stages and endpoint are the implicit Runge–Kutta equations of Implicit Runge–Kutta stage equations and update with A=Q, nodes c, and weights b: U=1u+hQF(U),Ψh(t,u)=u+h∑j=1MbjFj(U). The associated collocation polynomial on normalized time τ∈[0,1] is uh(τ):=u+h∫0τ∑j=1Mℓj(s)Fj(U) ds. Thus uh(ci)=Ui, uh′(ci)=hFi(U), and uh(1)=Ψh(t,u) whenever U is an admissible solution. This definition alone asserts no branch existence or uniqueness.

For interpolation estimates define the Lebesgue constant of this fixed node set by ΛM:=max⁡0≤s≤1∑j=1M∣ℓj(s)∣. For a real matrix A, write ∥A∥∞:=max⁡i∑j∣aij∣. These constants depend on the nodes and on M; no uniform-in-M bound is part of the definition.

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