Math 2.0

Ordinary differential equations Definition

Normal form

Builds on Autonomous systemEquilibrium pointLinearisation at an equilibriumHomogeneous polynomialEigenvalue

Definition

Let AA be a real n×nn \times n matrix and consider the autonomous system x′=Ax+f2(x)+f3(x)+⋯+fr(x)+O(∣x∣r+1)x' = A x + f_2(x) + f_3(x) + \cdots + f_r(x) + O(\abs{x}^{r+1}) near the equilibrium point 00 of ℝn\R^n. Here each fmf_m is a vector field whose components are homogeneous polynomials of degree mm. Let HmH_m be the vector space of such vector fields of degree mm. The homological operator LA ⁣:Hm→HmL_A \colon H_m \to H_m is LAh(x)=Dh(x) Ax−Ah(x)L_A h(x) = Dh(x) \, A x - A h(x). For each m≥2m \ge 2 choose a complement GmG_m of the image LA(Hm)L_A(H_m) in HmH_m. The system is in normal form up to order rr with respect to these complements if fm∈Gmf_m \in G_m for m=2,…,rm = 2, \ldots, r.

Remarks

The normal form theorem states that a near-identity polynomial change of coordinates x=y+h2(y)+⋯+hr(y)x = y + h_2(y) + \cdots + h_r(y), with hm∈Hmh_m \in H_m, brings any such system into normal form up to order rr. At degree mm the change x=y+hm(y)x = y + h_m(y) replaces fmf_m by fm−LAhmf_m - L_A h_m and changes only terms of degree at least mm, so fmf_m can be reduced to its component in GmG_m. If A=diag(λ1,…,λn)A = \mathrm{diag}(\lambda_1, \ldots, \lambda_n), then LAL_A maps the monomial vector field x1k1⋯xnknejx_1^{k_1} \cdots x_n^{k_n} e_j to (k1λ1+⋯+knλn−λj)(k_1 \lambda_1 + \cdots + k_n \lambda_n - \lambda_j) times itself. So one can take GmG_m spanned by the resonant monomials, those with k1λ1+⋯+knλn=λjk_1 \lambda_1 + \cdots + k_n \lambda_n = \lambda_j, and the normal form keeps only resonant terms. Example: for λ=(1,2)\lambda = (1, 2), the only resonant monomial of degree 22 is x12e2x_1^2 e_2, since 2⋅1=22 \cdot 1 = 2; the normal form up to order 22 is y1′=y1y_1' = y_1, y2′=2y2+c y12y_2' = 2 y_2 + c\, y_1^2 for a constant cc. Non-example: the system x1′=x1+x1x2x_1' = x_1 + x_1 x_2, x2′=2x2x_2' = 2 x_2 is not in normal form for λ=(1,2)\lambda = (1, 2), since x1x2e1x_1 x_2 e_1 has 1+2≠11 + 2 \ne 1 and is not resonant.

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Differential equation, concept, no evidence levelDifferential equationconceptEigenvalue, concept, no evidence levelEigenvalueconceptFunction, concept, no evidence levelFunctionconceptHomogeneous polynomial, concept, no evidence levelHomogeneous polynomialconceptInterval, concept, no evidence levelIntervalconceptOrdinary differential equation, definition, no evidence levelOrdinary differential…definitionLipschitz condition, definition, no evidence levelLipschitz conditiondefinitionGrönwall's inequality, statement, no evidence levelGrönwall's inequalitystatementOrder of a differential equation, definition, no evidence levelOrder of a differenti…definitionSolution of an ordinary differential equation, definition, no evidence levelSolution of an ordina…definitionAutonomous system, definition, no evidence levelAutonomous systemdefinitionInitial value problem, definition, no evidence levelInitial value problemdefinitionLinear differential equation of order n, definition, no evidence levelLinear differential e…definitionEquilibrium point, definition, no evidence levelEquilibrium pointdefinitionSystem of linear differential equations, definition, no evidence levelSystem of linear diff…definitionUniqueness of solutions for Lipschitz vector fields, statement, no evidence levelUniqueness of solutio…statementHomogeneous linear system with constant coefficients, definition, no evidence levelHomogeneous linear sy…definitionMaximal solution, definition, no evidence levelMaximal solutiondefinitionMatrix exponential as the solution of a linear system, statement, no evidence levelMatrix exponential as…statementFlow of a vector field, definition, no evidence levelFlow of a vector fielddefinitionLyapunov stability, definition, no evidence levelLyapunov stabilitydefinitionAsymptotic stability, definition, no evidence levelAsymptotic stabilitydefinitionStability of linear systems via eigenvalues, statement, no evidence levelStability of linear s…statementLinearisation at an equilibrium, concept, no evidence levelLinearisation at an e…conceptNormal form, definition, no evidence levelNormal formdefinition
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Differential equation concept
  2. Eigenvalue concept
  3. Function concept
  4. Homogeneous polynomial concept
  5. Interval concept
  6. Ordinary differential equation definition
  7. Lipschitz condition definition
  8. Grönwall's inequality statement
  9. Order of a differential equation definition
  10. Solution of an ordinary differential equation definition
  11. Autonomous system definition
  12. Initial value problem definition
  13. Linear differential equation of order n definition
  14. Equilibrium point definition
  15. System of linear differential equations definition
  16. Uniqueness of solutions for Lipschitz vector fields statement
  17. Homogeneous linear system with constant coefficients definition
  18. Maximal solution definition
  19. Matrix exponential as the solution of a linear system statement
  20. Flow of a vector field definition
  21. Lyapunov stability definition
  22. Asymptotic stability definition
  23. Stability of linear systems via eigenvalues statement
  24. Linearisation at an equilibrium concept
  25. Normal form definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Normal_form_(dynamical_systems)
About this page
TagZBZBKWWEBC
URIm2://ZBZBKWWEBC
Kinddefinition
WritingW0 stub
MSC34C20, 37G05
DefinesNormal form
UsesAutonomous system, Equilibrium point, Linearisation at an equilibrium, Homogeneous polynomial, Eigenvalue
Changed2 November 2026

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