Starting from
$$dY_1=-\frac12 Y_1 dt-Y_2 dB_t, \\
dY_2=-\frac12 Y_2 dt+Y_1 dB_t, $$
and using the general formula for the generator of a diffusion process $dX_t=f(X_t)dt+g(X_t)dB_t$, which reads
$$\mathcal{A}=\sum_{i=1}^n f_i(x)\partial_{x_i}+\frac{1}{2}\sum_{i=1}^n\sum_{j=1}^m g_{ij}(x)\partial_{x_i}\partial_{x_j},$$
we have with $n=2$ and $m=1$
$$\mathcal{A}=\frac12\left(-y_1\partial_{y_1}-y_2\partial_{y_2}+y_2^2\partial_{y_1}^2+y_1^2\partial_{y_2}^2\right)=\frac12\partial_{\theta}^ 2.$$
Which is one half times the Laplacian on $S_1$.
In fact, one of the definitions of Brownian motion on a Riemannian manifold $(M,g)$ is that its generator is $\frac12\Delta_g$, where $\Delta_g$ is the Laplacian of $g$. Thus in order to find the generator of Brownian motion on $S_2$ in Cartesian coordinates, take the Laplacian on $S_2$ and transform it to Cartesian coordinates (a slightly tedious calculation).
which was discussed here :
link
– Denis Jun 15 '20 at 16:17