got computational to a good state, started cleaning up laws of motion and survival analysis. Added a 4th and 5th level of subsections (titled paragraphs)

temporaryWork
youainti 5 years ago
parent 226f344f02
commit 37eab9bdcd

@ -24,7 +24,7 @@
\section{Modeling the Environment} \section{Modeling the Environment}
\subsection{Laws of Motion} \subsection{Laws of Motion}
\subfile{sections/01_LawsOfMotion} %DONE \subfile{sections/01_LawsOfMotion} %Needs headings fixed
\subsubsection{Survival Analysis}\label{SEC:Survival} \subsubsection{Survival Analysis}\label{SEC:Survival}
\subfile{sections/03_SurvivalAnalysis} %TODO \subfile{sections/03_SurvivalAnalysis} %TODO

@ -12,3 +12,5 @@
\usepackage{graphicx} \usepackage{graphicx}
\graphicspath{assets/img/} \graphicspath{assets/img/}
%setup paragraph level indexing
\setcounter{secnumdepth}{5}

@ -7,7 +7,7 @@ i.e. constellation-level satellite stocks and debris.
These laws are the foundations to the results found in \cref{SEC:Kessler,SEC:Survival}, and These laws are the foundations to the results found in \cref{SEC:Kessler,SEC:Survival}, and
are crucial elements of the models presented in sections \cref{SEC:Operator,SEC:Planner}. are crucial elements of the models presented in sections \cref{SEC:Operator,SEC:Planner}.
\subsection{Satellite Stocks} \subsubsection{Satellite Stocks}
Each constellation consists of a number of satellites in orbit, controlled by the same operator and Each constellation consists of a number of satellites in orbit, controlled by the same operator and
operated for the same purpose. operated for the same purpose.
Satellites can be destroyed by collisions with other satellites or debris. Satellites can be destroyed by collisions with other satellites or debris.
@ -21,7 +21,7 @@ Where $l^i(\cdot)$ represents the rate at which satellites are destroyed by coll
Note that it is reasonable to assume that the loss of satellites to collisions should be Note that it is reasonable to assume that the loss of satellites to collisions should be
increasing in the level of debris: $\parder{l^i}{D_t}{} >0$. increasing in the level of debris: $\parder{l^i}{D_t}{} >0$.
\subsubsection{Collision Efficiencies} \paragraph{Collision Efficiencies}
%TODO: Explain bit about constellation collision efficiencies. %TODO: Explain bit about constellation collision efficiencies.
As demonstrated by \cite{reiland2020}, there are constellation designs by which an operator can As demonstrated by \cite{reiland2020}, there are constellation designs by which an operator can
minimize the risk of intra-constellation collisions. minimize the risk of intra-constellation collisions.
@ -34,9 +34,8 @@ While some of the steps could be taken, a fundamental issue arises in that const
are operated for different purposes and require different orbital properties. are operated for different purposes and require different orbital properties.
%Maybe 2 operators can place themselves in low risk orbits, but adding a 3rd increases the risk to all of them. %Maybe 2 operators can place themselves in low risk orbits, but adding a 3rd increases the risk to all of them.
%This could be explained as Coordination across time (time travel doesn't exist yet) %This could be explained as Coordination across time (time travel doesn't exist yet)
This coordination is also complicated by the fact that many of the constellations that This coordination is also complicated by the fact that constellations are not
will add to the overall risk have not been concieved by their designers yet. designed nor launched at the same time.
Consequent to these reasons, I believe the loss function $l^i$ should have the following properties related Consequent to these reasons, I believe the loss function $l^i$ should have the following properties related
to satellite stocks. to satellite stocks.

@ -4,8 +4,9 @@
\begin{document} \begin{document}
In his dissertation \cite{RaoDissertation} briefly examines the "survival rates" of a satellite constellation. In his dissertation \cite{RaoDissertation} briefly examines the "survival rates" of a satellite constellation.
I've applied this to my model and extended the results. I've applied this to my model and extended the results.
This approach allows us to construct a elasticity of survival and satellite additions, i.e. an elasticity %This approach allows us to construct a elasticity of survival and satellite additions,
of risk. %i.e. an elasticity of risk.
%I should probably look up how to analyze changes in risk level and quantitative representations etc. %I should probably look up how to analyze changes in risk level and quantitative representations etc.
% Marginal survival. % Marginal survival.
@ -18,7 +19,8 @@ To extend this definition to all fleets, we can measure the total number of
satellites that survive. satellites that survive.
This can be calculated as the weighted sum of survival rates. This can be calculated as the weighted sum of survival rates.
\begin{align} \begin{align}
R =& \frac{\sum_{i=1}^n s^i_t R^i}{\sum_{i=1}^n s^i_t} R =& \frac{\sum_{i=1}^n s^i_t R^i}{\sum_{i=1}^n s^i_t} \\
%=& \frac{\text{Total Surviving Satellites}}\frac{\text{Total Starting Satellites}}
\end{align} \end{align}
\subsubsection{Marginal Survival Rates} \subsubsection{Marginal Survival Rates}
@ -59,25 +61,32 @@ This can also be written in differential form as
From \cref{EQ:MarginalSurvivalRelation,EQ:differentialSurvivalRelation}, From \cref{EQ:MarginalSurvivalRelation,EQ:differentialSurvivalRelation},
we can see that the fleetwide marginal survival rate we can see that the fleetwide marginal survival rate
is made up of two components. is made up of two components.
We'll call these the direct and relative survival effects,
corresponding to the $dR^j$ and $ds^i_t$ terms respectively.
\begin{itemize} \begin{itemize}
\item $\sum^n_{j=1} \left(\frac{s^j_t}{\sum_{j=1}^n s^j_t}\right) \parder{R^j}{s^i_t}{}$ \item The direct survival effect,
represents the effect on each satellite constellation, and is always negative because $\sum^n_{j=1} \left(\frac{s^j_t}{\sum_{j=1}^n s^j_t}\right) \parder{R^j}{s^i_t}{}$,
$\parder{R^j}{s^i_t}{} < 0$ by assumption. represents the effect of a new satellite on each constellation.
Thus each constellations' survival rate will decrease as satellites are added to It is always negative because
any constellation. $\parder{R^j}{s^i_t}{} < 0$ by assumption.
\item $\frac{ R^i - R }{\sum_{j=1}^n s^j_t}$, Thus each constellations' survival rate will decrease as satellites are added to
represents the effect of averaging out marginal survival rates. any constellation.
Intuitively, when a constellation has a higher survival rate \item The relative survival effect, found in
than the fleet's survival rate, adding a satellite to that fleet contributes $\frac{ R^i - R }{\sum_{j=1}^n s^j_t}$,
less colision risk than if it were given to another represents the effect of averaging out marginal survival rates.
Note that it is positive but only when $R^i > R$. Intuitively, when a constellation has a higher survival rate
Additionally, it disappears quickly as the total number of satellites increase. than the general fleet's survival rate, adding a satellite to
Thus when there are a large number of satellites in orbit, regardless of who that constellation contributes less colision risk than if it were given
owns them, it is almost certain that any increase in satellite stocks will to another constellation.
lead to a reduction in the survival rate. Thus when there are a large number of satellites in orbit, regardless of who
\footnote{I believe Rao makes this an assumption, I show it is a result} owns them, this effect is removed.
\end{itemize} \end{itemize}
Consequently, we can see that in many cases, the marginal survival rate will be negative. Consequently, we can see that in most cases, the marginal survival rate will be negative.
In most models, this is either not examined or is assumed, but now we have the opportunity
to examine incentives in the case that it is not true.
One particular case where this may be important is when there is low utilization,
low internal risk, and near-monopolistic use of an orbital shell.
\end{document} \end{document}

@ -87,12 +87,16 @@ from the state space.
If I can data on how satellites are and have been distributed, I plan on If I can data on how satellites are and have been distributed, I plan on
selecting from that distribution. selecting from that distribution.
\subsections{Extensions} \subsections{Heterogeneous Agents}
One key question is how to handle the case of heterogeneous agents. One key question is how to handle the case of heterogeneous agents.
I believe I can address this in the constellation operator's case When the laws of motion depend on other agents' decisions, as is the case
described in \ref{lawsOFMotion}, intertemporal iteration may
require knowing the other agents best response function.
I believe I can model this in the constellation operator's case
by solving for the policy functions of each class of operator by solving for the policy functions of each class of operator
simultaneously. simultaneously.
I still have some questions about this approach and have not dived into I would like to verify this approach as I have not dived into
some of the mathemeatics that deeply. some of the mathemeatics that deeply.

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