Alekseev–Gröbner formula explained

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[1] and Vladimir Mikhailovich Alekseev in 1961.[2] 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.[3]

Formulation

Let

d\inN

be a natural number, let

T\in(0,infty)

be a positive real number, and let

\mu\colon[0,T] x Rd\toRd\inC0,([0,T] x Rd)

be a function which is continuous on the time interval

[0,T]

and continuously differentiable on the

d

-dimensional space

Rd

. Let

X\colon[0,T]2 x Rd\toRd

,

(s,t,x)\mapsto

x
X
s,t
be a continuous solution of the integral equationX_^ = x + \int_^ \mu(r, X_^) dr.Furthermore, let

Y\inC1([0,T],Rd)

be continuously differentiable. We view

Y

as the unperturbed function, and

X

as the perturbed function. Then it holds thatX_^ - Y_ = \int_^ \left(\frac X_^ \right) \left(\mu(r, Y_) - \frac Y_ \right) dr.The Alekseev–Gröbner formula allows to express the global error
Y0
X
0,T

-YT

in terms of the local error

(\mu(r,Yr)-\tfrac{d}{dr}Yr)

.

The Itô–Alekseev–Gröbner formula

The Itô–Alekseev–Gröbner formula[4] is a generalization of the Alekseev–Gröbner formula which states in the deterministic case, that for a continuously differentiable function

f\inC1(Rk,Rd)

it holds thatf(X_^) - f(Y_) =\int_^ f'\left(\frac X_^ \right) \frac X_^\left(\mu(r, Y_) - \frac Y_ \right) dr.

Notes and References

  1. Book: Gröbner . Wolfgang . Die Lie-Reihen und Ihre Anwendungen. . 1960 . VEB Deutscher Verlag der Wissenschaften . Berlin.
  2. Alekseev . V. . An estimate for the perturbations of the solution of ordinary differential equations (Russian). . Vestn. Mosk. Univ., Ser. I, Math. Meh. . 2, 1961.
  3. Book: Iserles . A. . A first course in the numerical analysis of differential equations . 2009 . Cambridge Texts in Applied Mathematics, Cambridge University Press . Cambridge . second.
  4. Hudde . A. . Hutzenthaler . M. . Jentzen . A. . Mazzonetto . S. . On the Itô-Alekseev-Gröbner formula for stochastic differential equations . 2018 . math.PR . 1812.09857.