Distance to closed and convex sets that have intersection $C subseteq D rightarrow$ $ d_D(x^*) leq d_C(x^*) $
Let $C subseteq mathbb{R}^n$ be a closed convex set, and $x^* in C^c$ (not in $C$ and its closure).
Define the Euclidean distance from $x^*$ to $C$ as $d_C(x^*):=min_{z in C}|z -x^*|_2$.
Let $D$ be a closed convex set containing $C$, i.e., $C subseteq D$.
Show that
$$
d_D(x^*) leq d_C(x^*)
$$
I do not know how to use $C subseteq D$ together with taking minimum.
optimization convex-optimization projective-geometry
add a comment |
Let $C subseteq mathbb{R}^n$ be a closed convex set, and $x^* in C^c$ (not in $C$ and its closure).
Define the Euclidean distance from $x^*$ to $C$ as $d_C(x^*):=min_{z in C}|z -x^*|_2$.
Let $D$ be a closed convex set containing $C$, i.e., $C subseteq D$.
Show that
$$
d_D(x^*) leq d_C(x^*)
$$
I do not know how to use $C subseteq D$ together with taking minimum.
optimization convex-optimization projective-geometry
Assume the distance is strictly smaller, use minimum property and that every element in $C$ is an element in $D$. That leads to a contradiction.
– B.Swan
Nov 25 at 7:57
add a comment |
Let $C subseteq mathbb{R}^n$ be a closed convex set, and $x^* in C^c$ (not in $C$ and its closure).
Define the Euclidean distance from $x^*$ to $C$ as $d_C(x^*):=min_{z in C}|z -x^*|_2$.
Let $D$ be a closed convex set containing $C$, i.e., $C subseteq D$.
Show that
$$
d_D(x^*) leq d_C(x^*)
$$
I do not know how to use $C subseteq D$ together with taking minimum.
optimization convex-optimization projective-geometry
Let $C subseteq mathbb{R}^n$ be a closed convex set, and $x^* in C^c$ (not in $C$ and its closure).
Define the Euclidean distance from $x^*$ to $C$ as $d_C(x^*):=min_{z in C}|z -x^*|_2$.
Let $D$ be a closed convex set containing $C$, i.e., $C subseteq D$.
Show that
$$
d_D(x^*) leq d_C(x^*)
$$
I do not know how to use $C subseteq D$ together with taking minimum.
optimization convex-optimization projective-geometry
optimization convex-optimization projective-geometry
asked Nov 25 at 7:53
Saeed
585110
585110
Assume the distance is strictly smaller, use minimum property and that every element in $C$ is an element in $D$. That leads to a contradiction.
– B.Swan
Nov 25 at 7:57
add a comment |
Assume the distance is strictly smaller, use minimum property and that every element in $C$ is an element in $D$. That leads to a contradiction.
– B.Swan
Nov 25 at 7:57
Assume the distance is strictly smaller, use minimum property and that every element in $C$ is an element in $D$. That leads to a contradiction.
– B.Swan
Nov 25 at 7:57
Assume the distance is strictly smaller, use minimum property and that every element in $C$ is an element in $D$. That leads to a contradiction.
– B.Swan
Nov 25 at 7:57
add a comment |
2 Answers
2
active
oldest
votes
Since $C subseteq D$, the minimum over $C$ can only be greater or equal to the minimum over $D$, so
$$d_D(x^*)=min_{z in D}|z -x^*|_2 leq min_{z in C}|z -x^*|_2= d_D(x^*)$$
add a comment |
for $forall z in D$ and $yin C$, we have
begin{align}
d_D(x^*) &= min_{z in D} |z-x^*|_2 \
&= min_{yin C} |(z_{best} -y)+ (y-x^*)|_2 \
&leq min_{y in C}|z_{best}-y|_2 + min_{y in C}|y-x^*|_2 \
& leq min_{yin C}|y-x^*|_2 \
&=d_C(x^*)
end{align}
Answer above has mistakes. while, maybe we can try a new way to solve this.
Notice that for any element $y in C$, because $C subseteq D$, so that $y in D$, and another element $z_{best} in D$, satisfy $d_D(x^*)=min_{z in D} |z-x^*|_2=|z_{best}-x^*|_2$, from this definition, it is quite clear to see
$$ |y-x^*|_2 geq |z_{best}-x^*|_2, forall y in C$$
which results in
$$d_C(x^*) = min_{yin C}|y-x^*|_2 geq |z_{best}-x^*|_2 = d_D(x^*)$$
How do you know when you ignore $min_{y in C}|z_{best}-y|_2$ inequality still holds?
– Saeed
Nov 25 at 18:59
You are right! And I post a new solution under the original one. I hope it can help you.
– Caldera
Nov 26 at 7:50
add a comment |
Your Answer
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2 Answers
2
active
oldest
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2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Since $C subseteq D$, the minimum over $C$ can only be greater or equal to the minimum over $D$, so
$$d_D(x^*)=min_{z in D}|z -x^*|_2 leq min_{z in C}|z -x^*|_2= d_D(x^*)$$
add a comment |
Since $C subseteq D$, the minimum over $C$ can only be greater or equal to the minimum over $D$, so
$$d_D(x^*)=min_{z in D}|z -x^*|_2 leq min_{z in C}|z -x^*|_2= d_D(x^*)$$
add a comment |
Since $C subseteq D$, the minimum over $C$ can only be greater or equal to the minimum over $D$, so
$$d_D(x^*)=min_{z in D}|z -x^*|_2 leq min_{z in C}|z -x^*|_2= d_D(x^*)$$
Since $C subseteq D$, the minimum over $C$ can only be greater or equal to the minimum over $D$, so
$$d_D(x^*)=min_{z in D}|z -x^*|_2 leq min_{z in C}|z -x^*|_2= d_D(x^*)$$
answered Nov 25 at 8:05
B.Swan
1,0011719
1,0011719
add a comment |
add a comment |
for $forall z in D$ and $yin C$, we have
begin{align}
d_D(x^*) &= min_{z in D} |z-x^*|_2 \
&= min_{yin C} |(z_{best} -y)+ (y-x^*)|_2 \
&leq min_{y in C}|z_{best}-y|_2 + min_{y in C}|y-x^*|_2 \
& leq min_{yin C}|y-x^*|_2 \
&=d_C(x^*)
end{align}
Answer above has mistakes. while, maybe we can try a new way to solve this.
Notice that for any element $y in C$, because $C subseteq D$, so that $y in D$, and another element $z_{best} in D$, satisfy $d_D(x^*)=min_{z in D} |z-x^*|_2=|z_{best}-x^*|_2$, from this definition, it is quite clear to see
$$ |y-x^*|_2 geq |z_{best}-x^*|_2, forall y in C$$
which results in
$$d_C(x^*) = min_{yin C}|y-x^*|_2 geq |z_{best}-x^*|_2 = d_D(x^*)$$
How do you know when you ignore $min_{y in C}|z_{best}-y|_2$ inequality still holds?
– Saeed
Nov 25 at 18:59
You are right! And I post a new solution under the original one. I hope it can help you.
– Caldera
Nov 26 at 7:50
add a comment |
for $forall z in D$ and $yin C$, we have
begin{align}
d_D(x^*) &= min_{z in D} |z-x^*|_2 \
&= min_{yin C} |(z_{best} -y)+ (y-x^*)|_2 \
&leq min_{y in C}|z_{best}-y|_2 + min_{y in C}|y-x^*|_2 \
& leq min_{yin C}|y-x^*|_2 \
&=d_C(x^*)
end{align}
Answer above has mistakes. while, maybe we can try a new way to solve this.
Notice that for any element $y in C$, because $C subseteq D$, so that $y in D$, and another element $z_{best} in D$, satisfy $d_D(x^*)=min_{z in D} |z-x^*|_2=|z_{best}-x^*|_2$, from this definition, it is quite clear to see
$$ |y-x^*|_2 geq |z_{best}-x^*|_2, forall y in C$$
which results in
$$d_C(x^*) = min_{yin C}|y-x^*|_2 geq |z_{best}-x^*|_2 = d_D(x^*)$$
How do you know when you ignore $min_{y in C}|z_{best}-y|_2$ inequality still holds?
– Saeed
Nov 25 at 18:59
You are right! And I post a new solution under the original one. I hope it can help you.
– Caldera
Nov 26 at 7:50
add a comment |
for $forall z in D$ and $yin C$, we have
begin{align}
d_D(x^*) &= min_{z in D} |z-x^*|_2 \
&= min_{yin C} |(z_{best} -y)+ (y-x^*)|_2 \
&leq min_{y in C}|z_{best}-y|_2 + min_{y in C}|y-x^*|_2 \
& leq min_{yin C}|y-x^*|_2 \
&=d_C(x^*)
end{align}
Answer above has mistakes. while, maybe we can try a new way to solve this.
Notice that for any element $y in C$, because $C subseteq D$, so that $y in D$, and another element $z_{best} in D$, satisfy $d_D(x^*)=min_{z in D} |z-x^*|_2=|z_{best}-x^*|_2$, from this definition, it is quite clear to see
$$ |y-x^*|_2 geq |z_{best}-x^*|_2, forall y in C$$
which results in
$$d_C(x^*) = min_{yin C}|y-x^*|_2 geq |z_{best}-x^*|_2 = d_D(x^*)$$
for $forall z in D$ and $yin C$, we have
begin{align}
d_D(x^*) &= min_{z in D} |z-x^*|_2 \
&= min_{yin C} |(z_{best} -y)+ (y-x^*)|_2 \
&leq min_{y in C}|z_{best}-y|_2 + min_{y in C}|y-x^*|_2 \
& leq min_{yin C}|y-x^*|_2 \
&=d_C(x^*)
end{align}
Answer above has mistakes. while, maybe we can try a new way to solve this.
Notice that for any element $y in C$, because $C subseteq D$, so that $y in D$, and another element $z_{best} in D$, satisfy $d_D(x^*)=min_{z in D} |z-x^*|_2=|z_{best}-x^*|_2$, from this definition, it is quite clear to see
$$ |y-x^*|_2 geq |z_{best}-x^*|_2, forall y in C$$
which results in
$$d_C(x^*) = min_{yin C}|y-x^*|_2 geq |z_{best}-x^*|_2 = d_D(x^*)$$
edited Nov 26 at 7:48
answered Nov 25 at 8:17
Caldera
11
11
How do you know when you ignore $min_{y in C}|z_{best}-y|_2$ inequality still holds?
– Saeed
Nov 25 at 18:59
You are right! And I post a new solution under the original one. I hope it can help you.
– Caldera
Nov 26 at 7:50
add a comment |
How do you know when you ignore $min_{y in C}|z_{best}-y|_2$ inequality still holds?
– Saeed
Nov 25 at 18:59
You are right! And I post a new solution under the original one. I hope it can help you.
– Caldera
Nov 26 at 7:50
How do you know when you ignore $min_{y in C}|z_{best}-y|_2$ inequality still holds?
– Saeed
Nov 25 at 18:59
How do you know when you ignore $min_{y in C}|z_{best}-y|_2$ inequality still holds?
– Saeed
Nov 25 at 18:59
You are right! And I post a new solution under the original one. I hope it can help you.
– Caldera
Nov 26 at 7:50
You are right! And I post a new solution under the original one. I hope it can help you.
– Caldera
Nov 26 at 7:50
add a comment |
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Assume the distance is strictly smaller, use minimum property and that every element in $C$ is an element in $D$. That leads to a contradiction.
– B.Swan
Nov 25 at 7:57