Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025European Journal of Pure and Applied MathematicsOpen Access

Triple Fixed-Point Theorems: Generalized Analysis with AI/Crypto Applications

View Full Paper
Ask AI
Bookmark
Share

Authors

MNMaha NoorwaliHAHaitham AlqawaqnehMTMuhammad Tahir

Discussion

Loading...

Member takes

Overview

New fixed-point theorems improve common fixed points in generalized inner product spaces, suggesting implications for AI and cryptography.

Key Points

  • New fixed-point theorems enhance the understanding of common fixed points in generalized inner product spaces, especially for multiple operators.
  • The findings reveal that common fixed points can exist uniquely even with relaxed contraction criteria in systems with three self-mappings.
  • Analysis utilized real-world examples from nonlinear analysis and computational proof, supporting the applicability of results in artificial intelligence and cryptography.
  • This work bridges advanced functional analysis with practical challenges in machine learning and cybersecurity, highlighting its mathematical and real-world relevance.

Cite This Study

Noorwali et al. (2025) studied this question.

synapsesocial.com/papers/68c19f7f54b1d3bfb60dac24https://doi.org/10.29020/nybg.ejpam.v18i3.6609
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Common Fixed Points of Triplet Mappings in GM-Spaces with Applications to AI Convergence and Cryptographic Consensus2025
  2. 2Common Fixed-Point Theorems for Non-Self P-Contractions Mapping in Metrically Convex Spaces2025
  3. 3Generalized fixed point theorems in fuzzy normed linear space2025
  4. 4A Triple Fixed-Point Theorem for Orthogonal ℓ-Compatible Maps in Orthogonal Complete Metric Space2024 · 2 citations
  5. 5Generalized Contractive Mappings and Fixed-Point Theorems in Complete G-Metric Spaces2026