On the Existence and Stability of a Hybrid Delay Itô-Differential Equation with Stochastic Feedback Control
Bibliographic record
Abstract
In this paper, the main objective is to prove the existence of solutions U∈C([0, ϖ], L2(Q)) for a hybrid delay Itô-differential equation with stochastic feedback control, a problem that incorporates delay effects introducing memory-like behavior into the system and leading to intricate dynamics. Additionally, the uniqueness of the solutions with sufficient conditions are provided. Furthermore, the solutions with the continuous dependence on initial data and certain functions, as well as the concept of Hyers-Ulam stability, are analyzed. These findings serve as a foundational framework from which well-established results in the literature naturally emerge. The concluding section is dedicated to applying these results to specific examples, illustrating the uniqueness and existence of solutions for hybrid delay Itô-differential equations with stochastic feedback control. These examples not only validate the theoretical findings but also enhance understanding by offering practical insights into the study of such equations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".