Nonlinear Equations - UFRJ
Nonlinear Equations - UFRJ
Nonlinear Equations - UFRJ
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62 [CH. 5: REPRODUCING KERNEL SPACES<br />
Denote by dF, dF x the zero-average, unit variance Gaussian probability<br />
distributions. Note that in F x , π1dF ∗ = 1<br />
(2π)<br />
dF n x . The coarea<br />
formula for (V, M, π 2 , F ) (Theorem 4.9) is<br />
E(#(Z(f) ∩ K)) = 1<br />
∫<br />
(2π)<br />
∫K<br />
n dM(x) NJ(f, ix) −2 dF x<br />
F x<br />
with Normal Jacobian NJ(f, x) = det(Dπ 2 (f, x)Dπ 2 (f, x) ∗ ) 1/2 .<br />
The Normal Jacobian can be computed by<br />
⎛ ⎡<br />
⎤ ⎞<br />
K 1 (x, x)<br />
NJ(f, x) 2 ⎜<br />
= det ⎝Df(x) −∗ ⎢<br />
⎣<br />
. ..<br />
⎥<br />
⎦ Df(x) −1 ⎟<br />
⎠<br />
K n (x, x)<br />
=<br />
∏<br />
Ki (x, x)<br />
| det Df(x)| 2<br />
We pick an arbitrary system of coordinates around x.<br />
Lemma 4.3,<br />
Using<br />
| det Df(x)| 2 dM =<br />
Thus,<br />
E(#(Z(f) ∩ K)) =<br />
=<br />
= 1<br />
= 1<br />
1<br />
n∧<br />
(2π) n ∫K<br />
n∑<br />
i=1 j,k=1<br />
i=1<br />
∂<br />
f i (x) ∂ f i (x)<br />
∂x j ∂x k<br />
jk<br />
√ −1<br />
2 dx j ∧ d¯x k<br />
n∧ ∑ 〈Df(x)<br />
∫F ∂<br />
∂x j<br />
, Df(x) ∂<br />
∂x k<br />
〉<br />
ix<br />
n∧ ∑<br />
π<br />
∫K<br />
n i=1 jk<br />
π<br />
∫K<br />
n i=1<br />
using Proposition 5.9.<br />
n∧<br />
ω i (x)<br />
K i (x, x)<br />
√ −1<br />
2 dx j ∧ d¯x k dF ix (f i )<br />
ω i<br />
( ∂<br />
∂x j<br />
, J ∂<br />
∂x k<br />
) √ −1<br />
2 dx j ∧ d¯x k