Title :
On approximation of linear functionals on Lp spaces
Author :
Sandberg, Irwin W. ; Dingankar, Ajit
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
fDate :
7/1/1995 12:00:00 AM
Abstract :
In a recent paper certain approximations to continuous nonlinear functionals defined on an Lp space (1<p<∞) are shown to exist. These approximations may be realized by sigmoidal neural networks employing a linear input layer that implements finite sums of integrals of a certain type. In another recent paper similar approximation results are obtained using elements of a general class of continuous linear functionals. In this note we describe a connection between these results by showing that every continuous linear functional on a compact subset of Lp may be approximated uniformly by certain finite sums of integrals
Keywords :
approximation theory; functional equations; integral equations; neural nets; Lp spaces; continuous linear functionals; integrals; linear functionals approximation; linear input layer; sigmoidal neural networks; Approximation error; Circuits; Integral equations; Linear approximation; Linearity; Neural networks; Polynomials;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on