Show minimum distance to a convex set is a convex function.
Show that
$$
g(x)=inf_{z in C}|x-z|
$$
where $g:mathbb{R}^n rightarrow mathbb{R}$, $C$ is a convex set in $mathbb{R}^n$ (nor close neither bounded), and $|cdot|$ is a norm on $mathbb{R}^n$.
Let $x,y$ be in $mathbb{R}^n$. We need to show that
$$
g(lambda x +(1-lambda)y) leq lambda g(x)+ (1-lambda)g(y) tag{1}
$$
I tried the following:
$$
|lambda x +(1-lambda)y-z| leq lambda| x -z| + (1-lambda)| y-z| ,, forall {z in C}
$$
Since
$$
g(lambda x +(1-lambda)y)=inf_{z in C}|lambda x +(1-lambda)y-z| leq |lambda x +(1-lambda)y-z| ,, forall {z in C}
$$
So
$$
g(lambda x +(1-lambda)y)=inf_{z in C}|lambda x +(1-lambda)y-z| leq lambda| x -z| + (1-lambda)| y-z| ,, forall {z in C}
$$
I do not know how to handle the right hand side and apply infimum in a right way because the following is not correct in general
$$
inf_{z in C}|lambda x +(1-lambda)y-z| nleq lambda inf_{z in C} | x -z| + (1-lambda) inf_{z in C} | y-z|
$$
Or maybe my initial way to prove the convexity is wrong. Can you complete my proof or show the claim using another way?
convex-analysis convex-optimization convex-geometry
add a comment |
Show that
$$
g(x)=inf_{z in C}|x-z|
$$
where $g:mathbb{R}^n rightarrow mathbb{R}$, $C$ is a convex set in $mathbb{R}^n$ (nor close neither bounded), and $|cdot|$ is a norm on $mathbb{R}^n$.
Let $x,y$ be in $mathbb{R}^n$. We need to show that
$$
g(lambda x +(1-lambda)y) leq lambda g(x)+ (1-lambda)g(y) tag{1}
$$
I tried the following:
$$
|lambda x +(1-lambda)y-z| leq lambda| x -z| + (1-lambda)| y-z| ,, forall {z in C}
$$
Since
$$
g(lambda x +(1-lambda)y)=inf_{z in C}|lambda x +(1-lambda)y-z| leq |lambda x +(1-lambda)y-z| ,, forall {z in C}
$$
So
$$
g(lambda x +(1-lambda)y)=inf_{z in C}|lambda x +(1-lambda)y-z| leq lambda| x -z| + (1-lambda)| y-z| ,, forall {z in C}
$$
I do not know how to handle the right hand side and apply infimum in a right way because the following is not correct in general
$$
inf_{z in C}|lambda x +(1-lambda)y-z| nleq lambda inf_{z in C} | x -z| + (1-lambda) inf_{z in C} | y-z|
$$
Or maybe my initial way to prove the convexity is wrong. Can you complete my proof or show the claim using another way?
convex-analysis convex-optimization convex-geometry
Hint: you can prove this for any jointly convex function $f(x,z)$, not just for $f(x,z) = ||x-z||$.
– LinAlg
Dec 2 '18 at 23:44
add a comment |
Show that
$$
g(x)=inf_{z in C}|x-z|
$$
where $g:mathbb{R}^n rightarrow mathbb{R}$, $C$ is a convex set in $mathbb{R}^n$ (nor close neither bounded), and $|cdot|$ is a norm on $mathbb{R}^n$.
Let $x,y$ be in $mathbb{R}^n$. We need to show that
$$
g(lambda x +(1-lambda)y) leq lambda g(x)+ (1-lambda)g(y) tag{1}
$$
I tried the following:
$$
|lambda x +(1-lambda)y-z| leq lambda| x -z| + (1-lambda)| y-z| ,, forall {z in C}
$$
Since
$$
g(lambda x +(1-lambda)y)=inf_{z in C}|lambda x +(1-lambda)y-z| leq |lambda x +(1-lambda)y-z| ,, forall {z in C}
$$
So
$$
g(lambda x +(1-lambda)y)=inf_{z in C}|lambda x +(1-lambda)y-z| leq lambda| x -z| + (1-lambda)| y-z| ,, forall {z in C}
$$
I do not know how to handle the right hand side and apply infimum in a right way because the following is not correct in general
$$
inf_{z in C}|lambda x +(1-lambda)y-z| nleq lambda inf_{z in C} | x -z| + (1-lambda) inf_{z in C} | y-z|
$$
Or maybe my initial way to prove the convexity is wrong. Can you complete my proof or show the claim using another way?
convex-analysis convex-optimization convex-geometry
Show that
$$
g(x)=inf_{z in C}|x-z|
$$
where $g:mathbb{R}^n rightarrow mathbb{R}$, $C$ is a convex set in $mathbb{R}^n$ (nor close neither bounded), and $|cdot|$ is a norm on $mathbb{R}^n$.
Let $x,y$ be in $mathbb{R}^n$. We need to show that
$$
g(lambda x +(1-lambda)y) leq lambda g(x)+ (1-lambda)g(y) tag{1}
$$
I tried the following:
$$
|lambda x +(1-lambda)y-z| leq lambda| x -z| + (1-lambda)| y-z| ,, forall {z in C}
$$
Since
$$
g(lambda x +(1-lambda)y)=inf_{z in C}|lambda x +(1-lambda)y-z| leq |lambda x +(1-lambda)y-z| ,, forall {z in C}
$$
So
$$
g(lambda x +(1-lambda)y)=inf_{z in C}|lambda x +(1-lambda)y-z| leq lambda| x -z| + (1-lambda)| y-z| ,, forall {z in C}
$$
I do not know how to handle the right hand side and apply infimum in a right way because the following is not correct in general
$$
inf_{z in C}|lambda x +(1-lambda)y-z| nleq lambda inf_{z in C} | x -z| + (1-lambda) inf_{z in C} | y-z|
$$
Or maybe my initial way to prove the convexity is wrong. Can you complete my proof or show the claim using another way?
convex-analysis convex-optimization convex-geometry
convex-analysis convex-optimization convex-geometry
asked Dec 2 '18 at 23:16
Saeed
651310
651310
Hint: you can prove this for any jointly convex function $f(x,z)$, not just for $f(x,z) = ||x-z||$.
– LinAlg
Dec 2 '18 at 23:44
add a comment |
Hint: you can prove this for any jointly convex function $f(x,z)$, not just for $f(x,z) = ||x-z||$.
– LinAlg
Dec 2 '18 at 23:44
Hint: you can prove this for any jointly convex function $f(x,z)$, not just for $f(x,z) = ||x-z||$.
– LinAlg
Dec 2 '18 at 23:44
Hint: you can prove this for any jointly convex function $f(x,z)$, not just for $f(x,z) = ||x-z||$.
– LinAlg
Dec 2 '18 at 23:44
add a comment |
1 Answer
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Hint: try starting from the opposite direction, consider the subadditivity of the infimum and see if you can show it that way
Your statement is not an answer, please write it as a comment and delete your answer.
– Saeed
Dec 3 '18 at 4:17
add a comment |
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Hint: try starting from the opposite direction, consider the subadditivity of the infimum and see if you can show it that way
Your statement is not an answer, please write it as a comment and delete your answer.
– Saeed
Dec 3 '18 at 4:17
add a comment |
Hint: try starting from the opposite direction, consider the subadditivity of the infimum and see if you can show it that way
Your statement is not an answer, please write it as a comment and delete your answer.
– Saeed
Dec 3 '18 at 4:17
add a comment |
Hint: try starting from the opposite direction, consider the subadditivity of the infimum and see if you can show it that way
Hint: try starting from the opposite direction, consider the subadditivity of the infimum and see if you can show it that way
answered Dec 3 '18 at 2:51
svail
12
12
Your statement is not an answer, please write it as a comment and delete your answer.
– Saeed
Dec 3 '18 at 4:17
add a comment |
Your statement is not an answer, please write it as a comment and delete your answer.
– Saeed
Dec 3 '18 at 4:17
Your statement is not an answer, please write it as a comment and delete your answer.
– Saeed
Dec 3 '18 at 4:17
Your statement is not an answer, please write it as a comment and delete your answer.
– Saeed
Dec 3 '18 at 4:17
add a comment |
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Hint: you can prove this for any jointly convex function $f(x,z)$, not just for $f(x,z) = ||x-z||$.
– LinAlg
Dec 2 '18 at 23:44