Why cones are represented by matrices












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I see there are multiple definitions of cones:



1) Cone $K$ is defines as a set of vertices $[x_1, x_2, x_3, ...]$ with $[0]$ as the base (starting point)



2) Cone $K$ is defined as intersection of half-spaces $[langle a_i,x rangle leq 0]$



3) Cone $K$ is defined by a matrix, e.g. $K in X^{n}_{+}$, such that $K$ is semi-definite positive.





The 1) and 2) are easy to interpret and draw, since both define the boundaries in the space, the boundaries+interior is the cone itself. But I dont understand how the definition 3) defines the cone (e.g. the shape in the Euclidean space).





1) How do I interpret the matrix as a cone ?



2) How to check/see whether a vector belongs to the cone ?



3) How to derive a dual-cone from a cone defined by a matrix ?










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    0














    I see there are multiple definitions of cones:



    1) Cone $K$ is defines as a set of vertices $[x_1, x_2, x_3, ...]$ with $[0]$ as the base (starting point)



    2) Cone $K$ is defined as intersection of half-spaces $[langle a_i,x rangle leq 0]$



    3) Cone $K$ is defined by a matrix, e.g. $K in X^{n}_{+}$, such that $K$ is semi-definite positive.





    The 1) and 2) are easy to interpret and draw, since both define the boundaries in the space, the boundaries+interior is the cone itself. But I dont understand how the definition 3) defines the cone (e.g. the shape in the Euclidean space).





    1) How do I interpret the matrix as a cone ?



    2) How to check/see whether a vector belongs to the cone ?



    3) How to derive a dual-cone from a cone defined by a matrix ?










    share|cite|improve this question

























      0












      0








      0







      I see there are multiple definitions of cones:



      1) Cone $K$ is defines as a set of vertices $[x_1, x_2, x_3, ...]$ with $[0]$ as the base (starting point)



      2) Cone $K$ is defined as intersection of half-spaces $[langle a_i,x rangle leq 0]$



      3) Cone $K$ is defined by a matrix, e.g. $K in X^{n}_{+}$, such that $K$ is semi-definite positive.





      The 1) and 2) are easy to interpret and draw, since both define the boundaries in the space, the boundaries+interior is the cone itself. But I dont understand how the definition 3) defines the cone (e.g. the shape in the Euclidean space).





      1) How do I interpret the matrix as a cone ?



      2) How to check/see whether a vector belongs to the cone ?



      3) How to derive a dual-cone from a cone defined by a matrix ?










      share|cite|improve this question













      I see there are multiple definitions of cones:



      1) Cone $K$ is defines as a set of vertices $[x_1, x_2, x_3, ...]$ with $[0]$ as the base (starting point)



      2) Cone $K$ is defined as intersection of half-spaces $[langle a_i,x rangle leq 0]$



      3) Cone $K$ is defined by a matrix, e.g. $K in X^{n}_{+}$, such that $K$ is semi-definite positive.





      The 1) and 2) are easy to interpret and draw, since both define the boundaries in the space, the boundaries+interior is the cone itself. But I dont understand how the definition 3) defines the cone (e.g. the shape in the Euclidean space).





      1) How do I interpret the matrix as a cone ?



      2) How to check/see whether a vector belongs to the cone ?



      3) How to derive a dual-cone from a cone defined by a matrix ?







      convex-geometry convex-cone dual-cone






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      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Nov 29 at 6:10









      Martin G

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