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
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 .
Roussel, Marc R. (October 19, 2005). "Singular perturbation theory" (PDF). Lecture Notes .
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