Fictitious Domain Method
   HOME

TheInfoList



OR:

In
mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, the fictitious domain method is a method to find the solution of a
partial differential equation In mathematics, a partial differential equation (PDE) is an equation which imposes relations between the various partial derivatives of a Multivariable calculus, multivariable function. The function is often thought of as an "unknown" to be sol ...
s on a complicated
domain Domain may refer to: Mathematics *Domain of a function, the set of input values for which the (total) function is defined **Domain of definition of a partial function **Natural domain of a partial function **Domain of holomorphy of a function * Do ...
D, by substituting a given problem posed on a domain D, with a new problem posed on a simple domain \Omega containing D.


General formulation

Assume in some area D \subset \mathbb^n we want to find solution u(x) of the
equation In mathematics, an equation is a formula that expresses the equality of two expressions, by connecting them with the equals sign . The word ''equation'' and its cognates in other languages may have subtly different meanings; for example, in ...
: : Lu = - \phi(x), x = (x_1, x_2, \dots , x_n) \in D with
boundary conditions In mathematics, in the field of differential equations, a boundary value problem is a differential equation together with a set of additional constraints, called the boundary conditions. A solution to a boundary value problem is a solution to th ...
: : lu = g(x), x \in \partial D The basic idea of fictitious domains method is to substitute a given problem posed on a domain D, with a new problem posed on a simple shaped domain \Omega containing D (D \subset \Omega). For example, we can choose ''n''-dimensional parallelotope as \Omega. Problem in the extended domain \Omega for the new solution u_(x): : L_\epsilon u_\epsilon = - \phi^\epsilon(x), x = (x_1, x_2, \dots , x_n) \in \Omega : l_\epsilon u_\epsilon = g^\epsilon(x), x \in \partial \Omega It is necessary to pose the problem in the extended area so that the following condition is fulfilled: : u_\epsilon (x) \xrightarrow epsilon \rightarrow 0u(x), x \in D


Simple example, 1-dimensional problem

: \frac = -2, \quad 0 < x < 1 \quad (1) : u(0) = 0, u(1) = 0


Prolongation by leading coefficients

u_\epsilon(x) solution of problem: : \frack^\epsilon(x)\frac = - \phi^(x), 0 < x < 2 \quad (2) Discontinuous
coefficient In mathematics, a coefficient is a multiplicative factor in some term of a polynomial, a series, or an expression; it is usually a number, but may be any expression (including variables such as , and ). When the coefficients are themselves var ...
k^(x) and right part of equation previous equation we obtain from expressions: : k^\epsilon (x)=\begin 1, & 0 < x < 1 \\ \frac, & 1 < x < 2 \end : \phi^\epsilon (x)=\begin 2, & 0 < x < 1 \\ 2c_0, & 1 < x < 2 \end\quad (3) Boundary conditions: : u_\epsilon(0) = 0, u_\epsilon(2) = 0 Connection conditions in the point x = 1: : _\epsilon= 0,\ \left ^\epsilon(x)\frac\right= 0 where \cdot /math> means: :
(x) An emoticon (, , rarely , ), short for "emotion icon", also known simply as an emote, is a pictorial representation of a facial expression using characters—usually punctuation marks, numbers, and letters—to express a person's feelings, ...
= p(x + 0) - p(x - 0) Equation (1) has
analytical solution Generally speaking, analytic (from el, ἀναλυτικός, ''analytikos'') refers to the "having the ability to analyze" or "division into elements or principles". Analytic or analytical can also have the following meanings: Chemistry * A ...
therefore we can easily obtain error: : u(x) - u_\epsilon(x) = O(\epsilon^2), \quad 0 < x < 1


Prolongation by lower-order coefficients

u_\epsilon(x) solution of problem: : \frac - c^\epsilon(x)u_\epsilon = - \phi^\epsilon(x), \quad 0 < x < 2 \quad (4) Where \phi^(x) we take the same as in (3), and expression for c^(x) : c^\epsilon(x)=\begin 0, & 0 < x < 1 \\ \frac, & 1 < x < 2. \end Boundary conditions for equation (4) same as for (2). Connection conditions in the point x = 1: : _\epsilon(0)= 0,\ \left frac\right= 0 Error: : u(x) - u_\epsilon(x) = O(\epsilon), \quad 0 < x < 1


Literature

* P.N. Vabishchevich, The Method of Fictitious Domains in Problems of Mathematical Physics, Izdatelstvo Moskovskogo Universiteta, Moskva, 1991. * Smagulov S. Fictitious Domain Method for Navier–Stokes equation, Preprint CC SA USSR, 68, 1979. * Bugrov A.N., Smagulov S. Fictitious Domain Method for Navier–Stokes equation, Mathematical model of fluid flow, Novosibirsk, 1978, p. 79–90 {{DEFAULTSORT:Fictitious Domain Method Domain decomposition methods Applied mathematics