scholarly journals LEBESGUE INTEGRABILITY IMPLIES GENERALIZED RIEMANN INTEGRABILITY IN ℝ ]0, 1]

2001 ◽  
Vol 27 (1) ◽  
pp. 223 ◽  
Author(s):  
Muldowney ◽  
Skvortsov
Analysis ◽  
1993 ◽  
Vol 13 (4) ◽  
pp. 321-350
Author(s):  
Ferenc Móricz

2019 ◽  
Vol 69 (2) ◽  
pp. 577-589 ◽  
Author(s):  
Domenico Candeloro ◽  
Anca Croitoru ◽  
Alina Gavriluţ ◽  
Alina Iosif ◽  
Anna Rita Sambucini

Axioms ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 229
Author(s):  
Hari Mohan Srivastava ◽  
Bidu Bhusan Jena ◽  
Susanta Kumar Paikray

In this work we introduce and investigate the ideas of statistical Riemann integrability, statistical Riemann summability, statistical Lebesgue integrability and statistical Lebesgue summability via deferred weighted mean. We first establish some fundamental limit theorems connecting these beautiful and potentially useful notions. Furthermore, based upon our proposed techniques, we establish the Korovkin-type approximation theorems with algebraic test functions. Finally, we present two illustrative examples under the consideration of positive linear operators in association with the Bernstein polynomials to exhibit the effectiveness of our findings.


1985 ◽  
Vol 28 (4) ◽  
pp. 463-468 ◽  
Author(s):  
Arlo W. Schurle

AbstractThe paper investigates the relationship between Perron - Stieltjes integrability and Lebesgue-Stieltjes integrability within the generalized Riemann approach. The main result states that with certain restrictions a Perron-Stieltjes integrable function is locally Lebesgue-Stieltjes integrable on an open dense set. This is then applied to show that a nonnegative Perron-Stieltjes integrable function is Lebesgue-Stieltjes integrable. Finally, measure theory is invoked to remove the restrictions in the main result.


1972 ◽  
Vol s2-5 (3) ◽  
pp. 459-464 ◽  
Author(s):  
Samuel Kaplan

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2250
Author(s):  
Danilo Costarelli ◽  
Anca Croitoru ◽  
Alina Gavriluţ ◽  
Alina Iosif ◽  
Anna Rita Sambucini

We study Riemann-Lebesgue integrability for interval-valued multifunctions relative to an interval-valued set multifunction. Some classic properties of the RL integral, such as monotonicity, order continuity, bounded variation, convergence are obtained. An application of interval-valued multifunctions to image processing is given for the purpose of illustration; an example is given in case of fractal image coding for image compression, and for edge detection algorithm. In these contexts, the image modelization as an interval valued multifunction is crucial since allows to take into account the presence of quantization errors (such as the so-called round-off error) in the discretization process of a real world analogue visual signal into a digital discrete one.


Sign in / Sign up

Export Citation Format

Share Document