On the Construction of the Neutrosophic Itˆo Integral

Authors

  • Ahmed Hatip Department of Mathematics,Gaziantep University, Turkey;
  • Khalil Yahya Department of Mathematics, Faculty of Science, Damascus University, Syria;
  • Mohsen Alhassoun Department of Mathematics, Faculty of Science, Damascus University, Syria;

Keywords:

Neutrosophic Stochastic Calculus, Neutrosophic Brownian Motion, Neutrosophic Itˆo Integral, Neu trosophic Martingales, Neutrosophic Itˆo Formula, Neutrosophic Probability.

Abstract

 This research pioneers a rigorous framework for stochastic calculus in the neutrosophic paradigm,
 explicitly modeling systems with truth, indeterminacy, and falsehood degrees. We introduce foundational
 constructs including Canonical Neutrosophic Brownian Motion, Simple Neutrosophic Processes,
 and the space V2[0,T]. Building upon these, we formally define the Neutrosophic Itˆo Integral for ele
mentary processes and extend it to general integrands in V2[0,T], establishing Neutrosophic Martingales,
 d-Dimensional Neutrosophic Brownian Motion, Matrix-Valued Neutrosophic Integrands, and the
 Multi-Dimensional Neutrosophic Itˆo Integral. The theory is further generalized through Local Neu
trosophic Martingales, Locally Square-Integrable Neutrosophic Integrands, and Neutrosophic Itˆo
 Processes.
 Key theorems demonstrate the successful extension of classical stochastic calculus: The Density of Ele
mentary Neutrosophic Processes enables integral construction, while the Neutrosophic Itˆo Isometry
 and its consistent extension ensure well-defined integration. Crucially, we prove Martingale Characteriza
tion with Path Regularity, construct integrals for local martingales via stopping times, and establish the Itˆo
 Formula for both neutrosophic Brownian motion and general Itˆo processes.
 Significantly, essential structural properties–including isometry, martingale preservation, sample path conti
nuity, localization efficacy, and the Itˆo formula–remain rigorously valid in this generalized uncertainty frame
work. This work provides a powerful mathematical toolkit for stochastic systems under three-valued uncertainty,
 enabling applications across finance, engineering, and decision science.

 

DOI: 10.5281/zenodo.16897920

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Published

2025-12-20

How to Cite

Ahmed Hatip, Khalil Yahya, & Mohsen Alhassoun. (2025). On the Construction of the Neutrosophic Itˆo Integral. Neutrosophic Sets and Systems, 93, 22-43. https://fs.unm.edu/nss8/index.php/111/article/view/7062