
doi: 10.1007/bf02576494
The need for providing reliable numerical methods for the solution of weakly singular Volterra integral equations of first kind stems from the fact that they are connected to important problems in the theory and applications of stochastic processes. In the first section the above problems and some peculiarities of such equations are briefly sketched. Section 2 describes a method for obtaining an approximate solution whose properties are described in section 3: such properties guarantee that our approximate solution always oscillates around the rigorous one. Section 4 discusses the applicability of our case of some classical bounds on the errors. The remaining sections are all devoted to the construction of upper bounds on the oscillating error in order to reach an high degree of reliability for our solution. All the bounds are independent of the numerical method which is employed for obtaining the numerical solution.
Volterra, first kind, weakly singular, error bounds, Numerical methods for integral equations, Wiener and Ornstein-Uhlenbeck kernels, oscillating error, Wiener process, upper bounds, weakly singular Volterra integral equations, Ornstein-Uhlenbeck kernels, Abel's transform, Continuous-time Markov processes on general state spaces, Wiener kernel, Integral equations of the convolution type (Abel, Picard, Toeplitz and Wiener-Hopf type), Galerkin method, equation of the first kind
Volterra, first kind, weakly singular, error bounds, Numerical methods for integral equations, Wiener and Ornstein-Uhlenbeck kernels, oscillating error, Wiener process, upper bounds, weakly singular Volterra integral equations, Ornstein-Uhlenbeck kernels, Abel's transform, Continuous-time Markov processes on general state spaces, Wiener kernel, Integral equations of the convolution type (Abel, Picard, Toeplitz and Wiener-Hopf type), Galerkin method, equation of the first kind
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
