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# Numerical Solution of a Wide Class of Functional Problems

IP.com Disclosure Number: IPCOM000073888D
Original Publication Date: 1971-Feb-01
Included in the Prior Art Database: 2005-Feb-23
Document File: 5 page(s) / 26K

IBM

## Related People

Pennacchi, R: AUTHOR

## Abstract

The numerical problem of determining the function y(p) which is solution of certain functional equations when the point p belongs to given domains of the space S(r) , is soved by a computational method based on substitution of the given domains by suitable finite and therefore discrete sets, which can be described point-by-point by means of a computer.

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Numerical Solution of a Wide Class of Functional Problems

The numerical problem of determining the function ϕ(ρ) which is solution of certain functional equations when the point ρ belongs to given domains of the space S(r) , is soved by a computational method based on substitution of the given domains by suitable finite and therefore discrete sets, which can be described point-by-point by means of a computer.

The algorithm is particularly applicable to the solution of differential or integral problems whose boundary conditions are defined on sets of points which do not have any of the characteristics of regularity and symmetry needed by the ordinary methods. A typical example is mathematical models of water sheds, in which the differential equations have boundary conditions depending on the geographical and topographical arrangements of given areas.

Definition of the functional problem.

In a limited domain J0 of a Euclidean space Sr with r dimensions, let a family J of functions f(p) of the point p of Sr be given. This family is assumed to be a Banach space with norm

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Besides, let

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be µ given proper subset of J0 and

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be µ+i continuous functional operators, each of which gives a representation of J on itself; i.e. however we choose f(p)∈J, it is always

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Let us also suppose that the function ϕ(p)∈J, such that

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exists and is unique.

We say then that the search for function ϕ(p) which satisfies (5) is a functional problem:

The method of approximate numerical computation.

Let us consider a set V of a finite number N of points.

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1

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belonging to Sr such that

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The (8) means that, however we choose a point P ∈ J0, there will be at least one point Pj ∈ V whose distance from P is not greater than .

Every function ψ(p) ∈ J and such that

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Functional problem (9) represents, with respect to problem(5), a form of "discretization" that works on the domains J0,...,Jµ in which then vanishing of the operators Ωi is imposed.

This is convenient when we want to use a computer since the domains Ji*=( Ji ∩ V) may be entirely described point-to-point. Once we have defined the domains Ji*, there are infinite functions ψ(p) which are S-solutions of problem (5).

Determination of a S-solution of problem (5).

We indicate that { ψm(p) } a sequence of functions

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which have the following properties:
a) the functions ψm(p)= ψm(p; λ1,...,λm) depends on m parameters;
b) however we choose a function f(p)∈J, there exists a sequence λ12,...

such that

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Then, for a given value of m, let us introduce the functions

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and determine the value of parameters λ1,...,λm by imposing the conditions

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In this way (14) are a system on M finite equations with m unknowns λ1,...,λm

The minimum number M which makes the (14)'s solvable and which is certainly...