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Updated: May 10, 2025

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
Published on: June 15, 2022
Stability analysis, [Formula: see text] model expansion method, and diverse chaos-detecting tools for the DSKP model
Mohammad Safi Ullah1,2, M Zulfikar Ali3, Harun-Or Roshid4,5
1Department of Mathematics, Comilla University, Cumilla, 3506, Bangladesh. safi.ru1985@gmail.com.
This study introduces a new method for analyzing the Davey-Stewartson-Kadomtsev-Petviashvili (DSKP) model, revealing novel optical solitons and complex dynamics in fluid mechanics and plasma physics.
Area of Science:
- Nonlinear Dynamics
- Mathematical Physics
- Fluid Mechanics
Background:
- The Davey-Stewartson-Kadomtsev-Petviashvili (DSKP) model is crucial for understanding shallow-water waves, coastal engineering, fluid mechanics, and plasma physics.
- Investigating nonlinear models requires robust analytical and computational methods.
Purpose of the Study:
- To apply the [Formula: see text]-model expansion method to the (4+1)-dimensional DSKP model.
- To explore novel dynamical optical solitons and analyze the model's complex behaviors.
Main Methods:
- Transformation of partial differential equations into ordinary differential equations using a variable relation.
- Application of computational software for model analysis.
- Utilizing Jacobi elliptic, hyperbolic, and trigonometric functions for solution generation.
- Employing planar dynamical analysis and chaos-identification tools.
Main Results:
- Discovery of novel dynamical optical solitons through the combination of various solution forms.
- Qualitative examination of the governing model using planar dynamical processes.
- Comprehensive investigation of stability, bifurcation, and chaotic behavior.
Conclusions:
- The [Formula: see text]-model expansion method is effective and suitable for analyzing complex nonlinear models.
- The findings provide valuable insights into the dynamics of the DSKP model and related phenomena.
- The approach offers a favorable and helpful framework for nonlinear model analysis.
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