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Moving equilibrium theorem

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Consider a dynamical system

(1).......... x ˙ = f ( x , y ) {\displaystyle {\dot {x}}=f(x,y)}

(2).......... y ˙ = g ( x , y ) {\displaystyle \qquad {\dot {y}}=g(x,y)}

with the state variables x {\displaystyle x} and y {\displaystyle y} . Assume that x {\displaystyle x} is fast and y {\displaystyle y} is slow. Assume that the system (1) gives, for any fixed y {\displaystyle y} , an asymptotically stable solution x ¯ ( y ) {\displaystyle {\bar {x}}(y)} . Substituting this for x {\displaystyle x} in (2) yields

(3).......... Y ˙ = g ( x ¯ ( Y ) , Y ) =: G ( Y ) . {\displaystyle \qquad {\dot {Y}}=g({\bar {x}}(Y),Y)=:G(Y).}

Here y {\displaystyle y} has been replaced by Y {\displaystyle Y} to indicate that the solution Y {\displaystyle Y} to (3) differs from the solution for y {\displaystyle y} obtainable from the system (1), (2).

The Moving Equilibrium Theorem suggested by Lotka states that the solutions Y {\displaystyle Y} obtainable from (3) approximate the solutions y {\displaystyle y} obtainable from (1), (2) provided the partial system (1) is asymptotically stable in x {\displaystyle x} for any given y {\displaystyle y} and heavily damped (fast).

The theorem has been proved for linear systems comprising real vectors x {\displaystyle x} and y {\displaystyle y} . It permits reducing high-dimensional dynamical problems to lower dimensions and underlies Alfred Marshall's temporary equilibrium method.

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