Following this strategy, previously developed in [6], let us consider the random
improper integralFurthermore, the concept of the absolute convergence of a fuzzy
improper integral does not make sense in the fuzzy literature.
where the integral is the usual Riemann
improper integral and [alpha] [member of] (0,1].
then the Ito integral [bar.Y](0, [omega]) can be used to approximate the
improper integral (26), where
The initial IPS might show an obvious gradient in range direction, which is caused by the
improper integral constant.
Or, if asked to determine whether the
improper integral [[integral].sup.[infinity].sub.0] 1/[e.sup.x] + [e.sup.-x] is convergent, we might start by using technology to evaluate [[integral].sup.10.sub.0] 1/[e.sup.x] + [e.sup.-x] dx and [[integral].sup.15.sub.0] 1/[e.sup.x] + [e.sup.-x].
it is possible to conclude that the first integral at the second member of (17) is an
improper integral of a non-oscillating function which decays asymptotically as [mathematical expression not reproducible], while the last one is a proper integral.
If a [member of] T, sup T = ot and f is rd-continuous on [a, [infinity]), then one defines the
improper integral by
for t [greater than or equal to] T and the
improper integral of the larger function converges for [absolute value of v] < k, then by the comparison test, the integral [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] converges for [absolute value of v] < k.
The function [g.sub.1] must guarantee the convergence of the
improper integral (27) (i.e., the existence of [u.sub.1]), and the fact that this function [u.sub.1] is solution of the Neumann problems with f = 0.
approaches a finite limit as A [right arrow] [infinity], then we call that limit the
improper integral of first kind of f from a to[infinity]and write
In contrast with the usual convolution algorithm, the nonhistory-dependent algorithm described in the previous section needs the replacement of the
improper integral by a finite sum.
