this is for holding javascript data
Jacob Stevenson edited Trajectory spawning.tex
about 9 years ago
Commit id: eeeb77a318d2d1768a20e9974d64fbb6c2d7a985
deletions | additions
diff --git a/Trajectory spawning.tex b/Trajectory spawning.tex
index d52c974..6ec5674 100644
--- a/Trajectory spawning.tex
+++ b/Trajectory spawning.tex
...
The recursive equation for $\rho_i$ becomes
\begin{equation}
\rho_i = \left| \vec{n}(x_{i}) \cdot \vec{b}(x_i) \right|
\left[
\int_0^{t_{end}} J(x_i, t) dt
+ \chi(x_i, t_{end}) \left< \rho(x) \right>_{x \in \sigma_{i}^{end}}
\right]
\end{equation}
In the above equation $\sigma_i^{start}$ does not appear because $\rho$ only computes the factor by which the surface increases, not the actual number. That will reappear when we get back to the reference volume (the central sphere)
...
\begin{equation}
\mu_{t \to f} =
\left| \vec{n}(x) \cdot \vec{b}(x) \right|
\left[
\int_0^{t_{end}} J(x, t) dt
+ \chi(x, t_{end}) \left< \rho(x) \right>_{x \in \sigma_{i}^{end}}
\right]
\end{equation}
At a factor node (spawn surface) you combine all the incoming messages to estimate the relative downstream volume.
\begin{equation}
...
\begin{equation}
\mu_{t \to f} =
\left| \vec{n}(x) \cdot \vec{b}(x) \right|
\left[
\int_0^{t_{death}} J(x, t) dt
+ \chi(x, t_{death}) \mu_{f \to t} )
\right]
\end{equation}
note: