Basic Functional Analysis for the Optimization of Partial Differential Equations
نویسنده
چکیده
Infinite-dimensional optimization requires – among other things – many results from functional analysis. In this script basics from functional analytic theory is reviewed. The purpose of this work is to give a summary of important facts needed to work in our research group. 1. Functional Analysis – Results and Definitions If M is a set and M1 ⊂ M , the symbol M \M1 represents the complement of M1 in M , i.e. M \M1 = {x ∈ M : x 6∈ M1}. M will always denote the closure of the set M , which is the smallest closed set containing in M . The interior of the set M , M◦, is the largest open set containing in M . The boundary of M is the set ∂M = M \M◦. The set of ordered pairs {(x, y) : x ∈ M1, y ∈ M2} is called the Cartesian product of the sets M1 and M2 and it is denoted M1 ×M2. Let f : M → M1 be a function (or mapping). f(M) will usually called the range of f and will denoted ran (f). The set {x ∈ M : f(x) = 0} is said to be the kernel of f and is denoted ker (f). A function f will be called injective if for each y ∈ ran (f) there is at most one x ∈M such that f(x) = y; f is called surjective if ran (f) = M1. If f is both injective and surjective, we will say it is bijective. Let f : M → M1 and g : M1 → M2 be two functions. The composite mapping r = g ◦ f is defined by r : M →M2, x 7→ r(x) = g(f(x)). Definition 1.1. A (real) linear space is a set, V , over IR, whose elements satisfy the following properties 1) v + w = w + v for all v, w ∈ V , 2) v + (w + u) = (v + w) + u for all v, w, u ∈ V , 3) There is in V a unique element, denoted by 0 and called the zero element, such that v + 0 = v for each v, 4) To each v in V corresponds a unique element, denoted by −v, such that v + (−v) = 0, 5) α (v + w) = α v + αw for all v, w ∈ V and α ∈ IR, 6) (α+ β) v = αv + β v for all v ∈ V and α, β ∈ IR, 7) α (β v) = (αβ) v for all v ∈ V and α, β ∈ IR, 8) 1 · v = v for all v ∈ V , 9) 0 · v = 0 for all v ∈ V . Date: January 8, 2003. 1991 Mathematics Subject Classification. 35Kxx, 46Axx, 46Bxx, 46Cxx, 46Exx, 49Kxx.
منابع مشابه
The use of radial basis functions by variable shape parameter for solving partial differential equations
In this paper, some meshless methods based on the local Newton basis functions are used to solve some time dependent partial differential equations. For stability reasons, used variably scaled radial kernels for constructing Newton basis functions. In continuation, with considering presented basis functions as trial functions, approximated solution functions in the event of spatial variable wit...
متن کاملOn the convergence of the homotopy analysis method to solve the system of partial differential equations
One of the efficient and powerful schemes to solve linear and nonlinear equations is homotopy analysis method (HAM). In this work, we obtain the approximate solution of a system of partial differential equations (PDEs) by means of HAM. For this purpose, we develop the concept of HAM for a system of PDEs as a matrix form. Then, we prove the convergence theorem and apply the proposed method to fi...
متن کاملOn the Exact Solution for Nonlinear Partial Differential Equations
In this study, we aim to construct a traveling wave solution for nonlinear partial differential equations. In this regards, a cosine-function method is used to find and generate the exact solutions for three different types of nonlinear partial differential equations such as general regularized long wave equation (GRLW), general Korteweg-de Vries equation (GKDV) and general equal width wave equ...
متن کاملAn efficient approach for availability analysis through fuzzy differential equations and particle swarm optimization
This article formulates a new technique for behavior analysis of systems through fuzzy Kolmogorov's differential equations and Particle Swarm Optimization. For handling the uncertainty in data, differential equations have been formulated by Markov modeling of system in fuzzy environment. First solution of these derived fuzzy Kolmogorov's differential equations has been found by Runge-Kutta four...
متن کاملSimulation of Singular Fourth- Order Partial Differential Equations Using the Fourier Transform Combined With Variational Iteration Method
In this paper, we present a comparative study between the modified variational iteration method (MVIM) and a hybrid of Fourier transform and variational iteration method (FTVIM). The study outlines the efficiencyand convergence of the two methods. The analysis is illustrated by investigating four singular partial differential equations with variable coefficients. The solution of singular partia...
متن کاملThe new implicit finite difference scheme for two-sided space-time fractional partial differential equation
Fractional order partial differential equations are generalizations of classical partial differential equations. Increasingly, these models are used in applications such as fluid flow, finance and others. In this paper we examine some practical numerical methods to solve a class of initial- boundary value fractional partial differential equations with variable coefficients on a finite domain. S...
متن کامل