Geometric Integration of Differential Equations
This map of content organizes the framework of
1. Core Concepts
Fundamental definitions that underpin the theory.
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distribution: The geometric object representing a system of ODEs or PDEs.
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symmetry of a distribution: The classical notion of a vector field that preserves the distribution structure (maps integral manifolds to integral manifolds).
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cinf-symmetry of distribution: A generalization where the vector field preserves the distribution only "directionally" (
). -
symmetrizing factor: A function that corrects a
-symmetry to become a true symmetry. -
cinf-structure: An ordered set of vector fields (and one distribution) that allows for sequential integration.
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solvable structure: The precursor to
-structures; requires true symmetries. -
generalized Cinf-symmetry ODE: The specific application of these concepts to scalar ODEs.
2. Key Theorems & Properties
Mathematical guarantees and structural results.
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integration by Pfaffian equations: The main theorem stating that a
-structure guarantees integrability via quadratures (Pfaffian equations). -
symmetrizing factor lemma: Guarantee that every
-symmetry can be locally converted into a symmetry. -
cinf-structure-based method: How an m-th order ODE is reduced to m first-order Pfaffian equations.
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integrating factors vs symmetrizing factors: The duality between symmetrizing factors (vector fields) and integrating factors (forms).
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algorithm for determining cinf-structures: Steps to find a
-structure for a given ODE.
3. Applications & Examples
Specific systems analyzed in the literature.
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integration of Lotka-Volterra model: Application to biological population dynamics.
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Korteweg-de Vries equation: Traveling wave solutions found via this method.
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Zakharov-Kuznetsov equation: Application to plasma physics.
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Rikitake system: Analysis of the chaotic dynamo system.
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equations lacking Lie symmetries: Collection of examples where this method succeeds while Lie theory fails.