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The Alekseev–Gröbner formula, or nonlinear variation-of-constants formula, is a generalization of the linear variation of constants formula which was proven independently by Wolfgang Gröbner in 1960 and Vladimir Mikhailovich Alekseev 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 In mathematics, an ordinary differential equation (ODE) is a differential equation whose unknown(s) consists of one (or more) function(s) of one variable and involves the derivatives of those functions. The term ''ordinary'' is used in contras ...
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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