multiple time scale dynamics with two fast variables and one slow ...
multiple time scale dynamics with two fast variables and one slow ...
multiple time scale dynamics with two fast variables and one slow ...
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where<br />
R1= (∇Λ·dz)∧dy1<br />
R7= (∇Γ·dz)∧dy1<br />
R2= da∧(∇g1· dz) R8= db∧(∇g1· dz)<br />
R3= (∇Λ·dz)∧dy2<br />
R9= (∇Γ·dz)∧dy2<br />
R4= da∧(∇g2· dz) R10= db∧(∇g2· dz)<br />
R5= (∇Λ·dz)∧db R11= dy1∧ (∇g1· dz)<br />
R6= da∧(∇Γ·dz) R12= (∇g2· dz)∧dy2<br />
Note that we only considered the six 2-forms Pay1, Pay2, Pab, Pby1, Pby2, Py1y2 as they<br />
span the space of <strong>two</strong>-forms 2 R 4 . To simplify notation we let<br />
Z := (Pay1, Pay2) T = (Z1, Z2)<br />
X := (Pab, Pby1, Pby2, Py1y2) T = (X1, X2, X3, X4) T .<br />
Step 2: The next lemma provides fundamental estimates which we shall use<br />
throughout this section.<br />
Lemma 2.5.1. The equations for (Z, X) can be written in the form:<br />
Z ′ = ΛZ+η1(Z, X, t)<br />
X ′ = BX+η2(Z, X, t) (2.24)<br />
where B= B(z,ǫ) is a 4×4 matrix-valued function. The following conditions hold:<br />
(i) For a=0, b=0,ǫ= 0 we haveη1= 0,η2= 0.<br />
(ii) The matrix B satisfies:<br />
<br />
<br />
<br />
<br />
<br />
exp<br />
t<br />
for some ¯M≥ 1,µ>0 <strong>and</strong> t> s.<br />
s<br />
<br />
<br />
(B−Λ(Id))dξ ≤ ¯M exp(−µ(t− s)) (2.25)<br />
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