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Dive into the research topics where Seppo Seikkala is active.

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Featured researches published by Seppo Seikkala.


Fuzzy Sets and Systems | 1987

On the fuzzy initial value problem

Seppo Seikkala

Abstract The initial value problem x ′( t ) = f ( t , x ( t )), x (0)= x 0 , with fuzzy initial value and with deterministic or fuzzy function f is considered. Two different approaches, viz. the extension principle and the use of extremal solutions of deterministic initial value problems, are applied. Generalizations to fuzzy integral equations and fuzzy functional differential equations are indicated.


Fuzzy Sets and Systems | 1984

On fuzzy metric spaces

Osmo Kaleva; Seppo Seikkala

Abstract In this paper we introduce the concept of a fuzzy metric space. The distance between two points in a fuzzy metric space is a non-negative, upper semicontinuous, normal and convex fuzzy number. Properties of fuzzy metric spaces are studied and some fixed point theorems are proved.


Fuzzy Sets and Systems | 2002

Towards the theory of fuzzy differential equations

Dmitri Vorobiev; Seppo Seikkala

Comparative analysis of two ideologically distinct approaches in the theory of fuzzy differential equations is given. Domains of applications, advantages and shortcomings of those approaches are described. New definitions of solutions to fuzzy differential equations are proposed.


Journal of Mathematical Analysis and Applications | 1977

On the estimation of successive approximations in abstract spaces

Seppo Heikkilä; Seppo Seikkala

The comparison principle in the estimation of solutions to equations in abstract spaces usually yields inequalities possessing maximal solutions of comparison equations as upper estimates (I, 71. One purpose of this paper is to show that some of these maximal solution estimates can be replaced by the corresponding minimal ones, if the solutions of the original equations are limits of successive approximations. First, comparison results are derived for cluster values (subsequential limits) of iterative sequences. The accuracy of these results is illustrated by an example which, together with the applications, describes their applicability to the theory of differential and integral equations.


Journal of Mathematical Analysis and Applications | 1988

Solution of a nonlinear two-point boundary value problem with Neumann-type boundary data

Jukka Saranen; Seppo Seikkala

Abstract In this article we propose a new method for solution of nonlinear two-point boundary value problems of Neumann type. Our approach is based on a generalized integral equation representation of the solution together with an additional control variable. The method is constructive using Picard iterations. Some numerical examples are given.


Monatshefte für Mathematik | 1982

On a classical Nicoletti boundary value problem

Seppo Seikkala

We shall derive existence, uniqueness and comparison results for the functional differential equationx′(t)=f(t, x), a. e.t∈I, with classical Nicoletti boundary conditionsxi(ti)=yi∈X, i∈A, whereI is a real interval,A is a nonempty set andX is a Banach space.


Journal of Differential Equations | 1981

Existence, Uniqueness and Comparison Results for Nonlinear Boundary Value Problems Involving a Deviating Argument

Seppo Heikkilä; John W Mooney; Seppo Seikkala

In this paper we present existence, uniqueness and solution estimates for the differential equation with deviating argument Wt) =f(b m x(4(G)) (1) defined on the interior i of the interval I = [to, tl]. We assume that all functions herein are real valued, f: I x F?


Archive | 2004

A Resonance Problem for a Second-Order Vector Differential Equation

Seppo Seikkala; Markku Hihnala

We shall consider the boundary value problem (BVP)


Journal of Mathematical Analysis and Applications | 1989

Some remarks on nonlinear second-order differential equations with periodic boundary conditions

Jukka Saranen; Seppo Seikkala


Archive | 2002

Integral Equations Arising in Boundary Value Problems at Resonance

Seppo Seikkala; Dmitri Vorobiev

\left\{ \begin{gathered} \left( {\begin{array}{*{20}c} {x_1 ^{\prime \prime } } \\ {x_2 ^{\prime \prime } } \\ \end{array} } \right) + A\left( {\begin{array}{*{20}c} {x_1 } \\ {x_2 } \\ \end{array} } \right) = \left( {\begin{array}{*{20}c} {f_1 (ax_1 + bx_2 )} \\ {f_2 (cx_1 + dx_2 )} \\ \end{array} } \right) + \left( {\begin{array}{*{20}c} {b_1 (t)} \\ {b_2 (t)} \\ \end{array} } \right) \hfill \\ x_1 (0) = x_2 (0) = x_1 (\pi ) = x_2 (\pi ) = 0. \hfill \\ \end{gathered} \right.,

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