Alekseev–Gröbner Formula
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The Alekseev–Gröbner formula, or nonlinear variation-of-constants formula, is a generalization of the linear
variation of constants In mathematics, variation of parameters, also known as variation of constants, is a general method to solve inhomogeneous linear ordinary differential equations. For first-order inhomogeneous linear differential equations it is usually possible ...
formula which was proven independently by
Wolfgang Gröbner Wolfgang Gröbner (11 February 1899 – 20 August 1980) was an Austrian mathematician. His name is best known for the Gröbner basis, used for computations in algebraic geometry. However, the theory of Gröbner bases for polynomial rings was dev ...
in 1960 and
Vladimir Mikhailovich Alekseev Vladimir Mikhailovich Alekseev (Владимир Михайлович Алексеев, sometimes transliterated as "Alexeyev" or "Alexeev", 17 June 1932, Bykovo, Ramensky District, Moscow Oblast – 1 December 1980) was a Russian mathematician who ...
in 1961. It expresses the global error of a perturbation in terms of the local error and has many applications for studying perturbations of ordinary differential equations.


Formulation

Let d \in \mathbb N be a natural number, let T \in (0, \infty) be a positive real number, and let \mu \colon
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\times \mathbb^ \to \mathbb^ \in C^(
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\times \mathbb^) be a function which is continuous on the time interval
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/math> and continuously differentiable on the d-dimensional space \mathbb^. Let X \colon
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\times \mathbb^ \to \mathbb^, (s, t, x) \mapsto X_^ be a continuous solution of the integral equation X_^ = x + \int_^ \mu(r, X_^) dr. Furthermore, let Y \in C^(
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\mathbb^) be continuously differentiable. We view Y as the unperturbed function, and X as the perturbed function. Then it holds that X_^ - Y_ = \int_^ \left( \frac X_^ \right) \left( \mu(r, Y_) - \frac Y_ \right) dr. The Alekseev–Gröbner formula allows to express the global error X_^ - Y_ in terms of the local error ( \mu(r, Y_) - \tfrac Y_) .


The Itô–Alekseev–Gröbner formula

The Itô–Alekseev–Gröbner formula is a generalization of the Alekseev–Gröbner formula which states in the deterministic case, that for a continuously differentiable function f \in C^(\mathbb R^, \mathbb R^) it holds that f(X_^) - f(Y_) = \int_^ f'\left( \frac X_^ \right) \frac X_^\left( \mu(r, Y_) - \frac Y_ \right) dr.


References

{{DEFAULTSORT:Alekseev-Grobner formula Nonlinear algebra Ordinary differential equations