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Tikhonov's theorem (dynamical systems)

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In applied mathematics, Tikhonov's theorem on dynamical systems is a result on stability of solutions of systems of differential equations. It has applications to chemical kinetics. The theorem is named after Andrey Nikolayevich Tikhonov.

Statement

Consider this system of differential equations:

d x d t = f ( x , z , t ) , μ d z d t = g ( x , z , t ) . {\displaystyle {\begin{aligned}{\frac {d\mathbf {x} }{dt}}&=\mathbf {f} (\mathbf {x} ,\mathbf {z} ,t),\\\mu {\frac {d\mathbf {z} }{dt}}&=\mathbf {g} (\mathbf {x} ,\mathbf {z} ,t).\end{aligned}}}

Taking the limit as μ 0 {\displaystyle \mu \to 0} , this becomes the "degenerate system":

d x d t = f ( x , z , t ) , z = φ ( x , t ) , {\displaystyle {\begin{aligned}{\frac {d\mathbf {x} }{dt}}&=\mathbf {f} (\mathbf {x} ,\mathbf {z} ,t),\\\mathbf {z} &=\varphi (\mathbf {x} ,t),\end{aligned}}}

where the second equation is the solution of the algebraic equation

g ( x , z , t ) = 0. {\displaystyle \mathbf {g} (\mathbf {x} ,\mathbf {z} ,t)=0.}

Note that there may be more than one such function φ {\displaystyle \varphi } .

Tikhonov's theorem states that as μ 0 , {\displaystyle \mu \to 0,} the solution of the system of two differential equations above approaches the solution of the degenerate system if z = φ ( x , t ) {\displaystyle \mathbf {z} =\varphi (\mathbf {x} ,t)} is a stable root of the "adjoined system"

d z d t = g ( x , z , t ) . {\displaystyle {\frac {d\mathbf {z} }{dt}}=\mathbf {g} (\mathbf {x} ,\mathbf {z} ,t).}

References

  1. Klonowski, Wlodzimierz (1983). "Simplifying Principles for Chemical and Enzyme Reaction Kinetics". Biophysical Chemistry. 18 (2): 73–87. doi:10.1016/0301-4622(83)85001-7. PMID 6626688.
  2. Roussel, Marc R. (October 19, 2005). "Singular perturbation theory" (PDF). Lecture Notes.
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