What does the non-embedded graph derived from a Delaunay triangulation imply about the relative spatial...











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Let $p_{k (k in K)}in P$ be a tuple in the space $X$, a real coordinate plane in ${rm I!R}^{2}$ with a Euclidean distance function $d$ and $K$ is a set of indices. The set of tuples $P$ are Poisson distributed and of finite number distributed within a circle residing in $X$. The points can be used to define a Voronoi tessellation according to:



begin{equation}
s_k = { x in X | d(x, p_k) leq d(x, p_j) , forall , j , neq k }
end{equation}



where each $s_k in S$ is a set of points that are closest to a corresponding Voronoi center $p_k$ ie a facet of the tessellation. The corresponding Delaunay triangulation $DT(S)$ is the set of points $p_k$ and edges $E$ satisfying the empty circle property that no circumcircle of any triangle in $DT(S)$ has a point of $P$ in its interior.



Now say we have limited knowledge about $DT(S)$, and that we only have access to a non-embedded graph $G = (K,E)$ derived from $DT(S)$ i.e. the set of vertices denoted by their indices and edges minus all real coordinate information of $P$. Let us say we also know the boundary geometry and that the points $P$ are Poisson distribution within a circle. What is the strongest inference that can be made regarding Euclidean metrics and the points $P$ given knowledge of this limited set $G$ and boundary conditions?



To be more specific, let ${ k_0, k_N, k_{N-1} } subseteq K$ be any subset of three vertices in $K$ that satisfies the property that $k_N$ has at least one geodesic shortest path (i.e. hop count or number of edges) leading to a so-called origin $k_0$ equal to $N$ steps, and let $k_{N-1}$ be a vertex located on a geodesic shortest path to $k_N$ with its own geodesic shortest path to $k_0$ equal to $N-1$ steps. Let the set ${ p_{k_0},p_{k_N},p_{k_{N-1}} } subseteq P$ be the corresponding set of real coordinate points in $DT(S)$ in ${rm I!R}^{2}$.



Can it be proved that
begin{equation}
exists , k_{N-1} | d(p_{k_0},p_{k_N}) > d(p_{k_0},p_{k_{N-1}}) forall k_0, k_N in K.
end{equation}

In otherwords, for any two vertices in the non-embedded graph $G$ with a $N$ length geodesic shortest path distance, is there a vertex along that shortest path with $N-1$ geodesic distance that is also closer to the origin in Euclidean distance?



The context is that I am interested in establishing an inferential rule or upper/lower bound regarding the relative locations of points in $P$ or $DT(S)$ in terms of Euclidean metrics given only knowledge of $G = (K,E)$ since, afterall $G$ is derived from $DT(S)$ and thus coupled to Euclidean metrics in this way.



Thank you in advance for your help!










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    Let $p_{k (k in K)}in P$ be a tuple in the space $X$, a real coordinate plane in ${rm I!R}^{2}$ with a Euclidean distance function $d$ and $K$ is a set of indices. The set of tuples $P$ are Poisson distributed and of finite number distributed within a circle residing in $X$. The points can be used to define a Voronoi tessellation according to:



    begin{equation}
    s_k = { x in X | d(x, p_k) leq d(x, p_j) , forall , j , neq k }
    end{equation}



    where each $s_k in S$ is a set of points that are closest to a corresponding Voronoi center $p_k$ ie a facet of the tessellation. The corresponding Delaunay triangulation $DT(S)$ is the set of points $p_k$ and edges $E$ satisfying the empty circle property that no circumcircle of any triangle in $DT(S)$ has a point of $P$ in its interior.



    Now say we have limited knowledge about $DT(S)$, and that we only have access to a non-embedded graph $G = (K,E)$ derived from $DT(S)$ i.e. the set of vertices denoted by their indices and edges minus all real coordinate information of $P$. Let us say we also know the boundary geometry and that the points $P$ are Poisson distribution within a circle. What is the strongest inference that can be made regarding Euclidean metrics and the points $P$ given knowledge of this limited set $G$ and boundary conditions?



    To be more specific, let ${ k_0, k_N, k_{N-1} } subseteq K$ be any subset of three vertices in $K$ that satisfies the property that $k_N$ has at least one geodesic shortest path (i.e. hop count or number of edges) leading to a so-called origin $k_0$ equal to $N$ steps, and let $k_{N-1}$ be a vertex located on a geodesic shortest path to $k_N$ with its own geodesic shortest path to $k_0$ equal to $N-1$ steps. Let the set ${ p_{k_0},p_{k_N},p_{k_{N-1}} } subseteq P$ be the corresponding set of real coordinate points in $DT(S)$ in ${rm I!R}^{2}$.



    Can it be proved that
    begin{equation}
    exists , k_{N-1} | d(p_{k_0},p_{k_N}) > d(p_{k_0},p_{k_{N-1}}) forall k_0, k_N in K.
    end{equation}

    In otherwords, for any two vertices in the non-embedded graph $G$ with a $N$ length geodesic shortest path distance, is there a vertex along that shortest path with $N-1$ geodesic distance that is also closer to the origin in Euclidean distance?



    The context is that I am interested in establishing an inferential rule or upper/lower bound regarding the relative locations of points in $P$ or $DT(S)$ in terms of Euclidean metrics given only knowledge of $G = (K,E)$ since, afterall $G$ is derived from $DT(S)$ and thus coupled to Euclidean metrics in this way.



    Thank you in advance for your help!










    share|cite|improve this question







    New contributor




    Entangler is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.






















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      Let $p_{k (k in K)}in P$ be a tuple in the space $X$, a real coordinate plane in ${rm I!R}^{2}$ with a Euclidean distance function $d$ and $K$ is a set of indices. The set of tuples $P$ are Poisson distributed and of finite number distributed within a circle residing in $X$. The points can be used to define a Voronoi tessellation according to:



      begin{equation}
      s_k = { x in X | d(x, p_k) leq d(x, p_j) , forall , j , neq k }
      end{equation}



      where each $s_k in S$ is a set of points that are closest to a corresponding Voronoi center $p_k$ ie a facet of the tessellation. The corresponding Delaunay triangulation $DT(S)$ is the set of points $p_k$ and edges $E$ satisfying the empty circle property that no circumcircle of any triangle in $DT(S)$ has a point of $P$ in its interior.



      Now say we have limited knowledge about $DT(S)$, and that we only have access to a non-embedded graph $G = (K,E)$ derived from $DT(S)$ i.e. the set of vertices denoted by their indices and edges minus all real coordinate information of $P$. Let us say we also know the boundary geometry and that the points $P$ are Poisson distribution within a circle. What is the strongest inference that can be made regarding Euclidean metrics and the points $P$ given knowledge of this limited set $G$ and boundary conditions?



      To be more specific, let ${ k_0, k_N, k_{N-1} } subseteq K$ be any subset of three vertices in $K$ that satisfies the property that $k_N$ has at least one geodesic shortest path (i.e. hop count or number of edges) leading to a so-called origin $k_0$ equal to $N$ steps, and let $k_{N-1}$ be a vertex located on a geodesic shortest path to $k_N$ with its own geodesic shortest path to $k_0$ equal to $N-1$ steps. Let the set ${ p_{k_0},p_{k_N},p_{k_{N-1}} } subseteq P$ be the corresponding set of real coordinate points in $DT(S)$ in ${rm I!R}^{2}$.



      Can it be proved that
      begin{equation}
      exists , k_{N-1} | d(p_{k_0},p_{k_N}) > d(p_{k_0},p_{k_{N-1}}) forall k_0, k_N in K.
      end{equation}

      In otherwords, for any two vertices in the non-embedded graph $G$ with a $N$ length geodesic shortest path distance, is there a vertex along that shortest path with $N-1$ geodesic distance that is also closer to the origin in Euclidean distance?



      The context is that I am interested in establishing an inferential rule or upper/lower bound regarding the relative locations of points in $P$ or $DT(S)$ in terms of Euclidean metrics given only knowledge of $G = (K,E)$ since, afterall $G$ is derived from $DT(S)$ and thus coupled to Euclidean metrics in this way.



      Thank you in advance for your help!










      share|cite|improve this question







      New contributor




      Entangler is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      Let $p_{k (k in K)}in P$ be a tuple in the space $X$, a real coordinate plane in ${rm I!R}^{2}$ with a Euclidean distance function $d$ and $K$ is a set of indices. The set of tuples $P$ are Poisson distributed and of finite number distributed within a circle residing in $X$. The points can be used to define a Voronoi tessellation according to:



      begin{equation}
      s_k = { x in X | d(x, p_k) leq d(x, p_j) , forall , j , neq k }
      end{equation}



      where each $s_k in S$ is a set of points that are closest to a corresponding Voronoi center $p_k$ ie a facet of the tessellation. The corresponding Delaunay triangulation $DT(S)$ is the set of points $p_k$ and edges $E$ satisfying the empty circle property that no circumcircle of any triangle in $DT(S)$ has a point of $P$ in its interior.



      Now say we have limited knowledge about $DT(S)$, and that we only have access to a non-embedded graph $G = (K,E)$ derived from $DT(S)$ i.e. the set of vertices denoted by their indices and edges minus all real coordinate information of $P$. Let us say we also know the boundary geometry and that the points $P$ are Poisson distribution within a circle. What is the strongest inference that can be made regarding Euclidean metrics and the points $P$ given knowledge of this limited set $G$ and boundary conditions?



      To be more specific, let ${ k_0, k_N, k_{N-1} } subseteq K$ be any subset of three vertices in $K$ that satisfies the property that $k_N$ has at least one geodesic shortest path (i.e. hop count or number of edges) leading to a so-called origin $k_0$ equal to $N$ steps, and let $k_{N-1}$ be a vertex located on a geodesic shortest path to $k_N$ with its own geodesic shortest path to $k_0$ equal to $N-1$ steps. Let the set ${ p_{k_0},p_{k_N},p_{k_{N-1}} } subseteq P$ be the corresponding set of real coordinate points in $DT(S)$ in ${rm I!R}^{2}$.



      Can it be proved that
      begin{equation}
      exists , k_{N-1} | d(p_{k_0},p_{k_N}) > d(p_{k_0},p_{k_{N-1}}) forall k_0, k_N in K.
      end{equation}

      In otherwords, for any two vertices in the non-embedded graph $G$ with a $N$ length geodesic shortest path distance, is there a vertex along that shortest path with $N-1$ geodesic distance that is also closer to the origin in Euclidean distance?



      The context is that I am interested in establishing an inferential rule or upper/lower bound regarding the relative locations of points in $P$ or $DT(S)$ in terms of Euclidean metrics given only knowledge of $G = (K,E)$ since, afterall $G$ is derived from $DT(S)$ and thus coupled to Euclidean metrics in this way.



      Thank you in advance for your help!







      graph-theory metric-spaces planar-graph tessellations measurement-theory






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