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Local defect bound for frozen-slow Euler with fast microsteps
Statement
Let be open, let , and let be continuous. Assume , and that is jointly -Lipschitz and bounded by on a common set containing the exact solution , , and every microstate of Frozen-slow explicit Euler with fast microsteps started at . Assume the exact path and those microstates lie in the domain where these bounds hold, , , and . Then the successful macro output satisfies
Facts & Assumptions
Given: The exact IVP solution, jointly Lipschitz and bounded field, positive macro step, positive integer microstep count, and the common-domain conditions in the Statement.
View the autonomous field as on . An exact first-order IVP solution then satisfies the componentwise Volterra integral equation on every subinterval (First-order systems, initial value problems, and solutions on intervals, A first-order initial value problem is equivalent to its Volterra integral equation, The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral).
The vector integral obeys (For and integrable when , ; for , is integrable).
A successful step uses and (Frozen-slow explicit Euler with fast microsteps).
Along the exact path, ; for every microstate, (Block variation bounds for a frozen-slow Euler step).
A coordinate projection does not increase the Euclidean norm, and (Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation).
If an integrable real-valued function satisfies on , then (If on and both are integrable then ; and , claim 3).
A continuous vector-valued function on a compact interval has continuous components, hence is componentwise integrable (A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions, The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral, A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion).
On all points compared below, and .
Proof
By [F1] and [F3], the slow coordinate defect is the integral of the continuous vector-valued integrand , integrable by [F7]. The projection bound [F5], Lipschitz condition [A1], and [F4] show its pointwise norm is at most . Applying [F2] and [F6] to this integrand gives .
By [F1] and [F3], the fast-coordinate defect is the sum over of integrals of the continuous vector-valued functions on , integrable by [F7]. For such an , [F4] gives and . By [F5], the product-state distance is at most the sum of these coordinate distances, hence at most .
The projection bound [F5] and [A1] therefore bound each fast integrand norm by . Applying [F2] and [F6] on each interval, then summing the interval norms, gives .
By [F5], the product output error is at most the sum of the coordinate errors from steps 1.1 and 2.1. Thus it is at most , as claimed.
Depends on
- Frozen-slow explicit Euler with fast microsteps
- Block variation bounds for a frozen-slow Euler step
- First-order systems, initial value problems, and solutions on intervals
- A first-order initial value problem is equivalent to its Volterra integral equation
- The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
- For $a \le b$ and $f : [a,b] \to \mathbb{R}^m$ integrable when $a<b$, $\bigl\lVert\int_a^b f\bigr\rVert_2 \le \int_a^b \lVert f\rVert_2$; for $a<b$, $\lVert f\rVert_2$ is integrable
- Cauchy-Schwarz $\lvert\langle x,y\rangle\rvert \le \lVert x\rVert_2\lVert y\rVert_2$ with its equality case, the triangle inequality for $\lVert\cdot\rVert_2$, the parallelogram law and polarisation
- If $f \le g$ on $[a,b]$ and both are integrable then $\int_a^b f \le \int_a^b g$; and $m(b-a) \le \int_a^b f \le M(b-a)$
- A continuous function on $[a,b]$ is Riemann integrable, by Heine-Cantor and Riemann's criterion
- A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions
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Sources
- Michael Günther and Adrian Sandu, Multirate Methods for Ordinary Differential Equations, CSL-TR-25-5 (2025) (standard reference, not scraped)
- Michael Günther, Numerical Analysis and Simulation I — Ordinary Differential Equations, Chapter 4: Multirate Schemes (lecture notes, 2017/18) (standard reference, not scraped)