Show there is an $n$-th degree polynomial $p(x)$ such that $||f(x)-p(x)||_infty leq ||f(x)-q(x)||_infty$.
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Show that for each $f in C[0,1]$ there is an $n$-th degree polynomial $p(x)$ on $[0,1]$ such that $||f(x)-p(x)||_infty leq ||f(x)-q(x)||_infty$ for any other $n$-th degree polynomial $q(x)$.
This looks similar to the following
If $A subseteq (X,||cdot||)$ is compact and non-empty then for each $x in X$ there is some $y_0 in A$ such that
$$||x-y_0||=inf{||x-y||: y in A}$$
However, the set of $n$-th degree polynomial is finite-dimensional (hence closed), can we prove the it is compact?
real-analysis functional-analysis norm
add a comment |
up vote
4
down vote
favorite
Show that for each $f in C[0,1]$ there is an $n$-th degree polynomial $p(x)$ on $[0,1]$ such that $||f(x)-p(x)||_infty leq ||f(x)-q(x)||_infty$ for any other $n$-th degree polynomial $q(x)$.
This looks similar to the following
If $A subseteq (X,||cdot||)$ is compact and non-empty then for each $x in X$ there is some $y_0 in A$ such that
$$||x-y_0||=inf{||x-y||: y in A}$$
However, the set of $n$-th degree polynomial is finite-dimensional (hence closed), can we prove the it is compact?
real-analysis functional-analysis norm
The set of polynomials of degree at most $n$ is not even bounded...
– gangrene
Dec 1 at 2:00
@gangrene, oh how could I forget this.... How should I prove the statement then? Any suggestions?
– bbw
Dec 1 at 2:01
The set of degree $n$ polynomials within distance $le D$ of $f$ is bounded, and if $D=|f|$, is non-empty.
– kimchi lover
Dec 1 at 2:08
@kimchilover, you mean the set of $n$-th degree polynomials with the property that $||p(x)||_{infty} leq ||f||_{infty}$ is bounded. So we can apply the result I mentioned above?
– bbw
Dec 1 at 2:15
Yes, with a few details to fill in.
– kimchi lover
Dec 1 at 2:17
add a comment |
up vote
4
down vote
favorite
up vote
4
down vote
favorite
Show that for each $f in C[0,1]$ there is an $n$-th degree polynomial $p(x)$ on $[0,1]$ such that $||f(x)-p(x)||_infty leq ||f(x)-q(x)||_infty$ for any other $n$-th degree polynomial $q(x)$.
This looks similar to the following
If $A subseteq (X,||cdot||)$ is compact and non-empty then for each $x in X$ there is some $y_0 in A$ such that
$$||x-y_0||=inf{||x-y||: y in A}$$
However, the set of $n$-th degree polynomial is finite-dimensional (hence closed), can we prove the it is compact?
real-analysis functional-analysis norm
Show that for each $f in C[0,1]$ there is an $n$-th degree polynomial $p(x)$ on $[0,1]$ such that $||f(x)-p(x)||_infty leq ||f(x)-q(x)||_infty$ for any other $n$-th degree polynomial $q(x)$.
This looks similar to the following
If $A subseteq (X,||cdot||)$ is compact and non-empty then for each $x in X$ there is some $y_0 in A$ such that
$$||x-y_0||=inf{||x-y||: y in A}$$
However, the set of $n$-th degree polynomial is finite-dimensional (hence closed), can we prove the it is compact?
real-analysis functional-analysis norm
real-analysis functional-analysis norm
asked Dec 1 at 1:52
bbw
46537
46537
The set of polynomials of degree at most $n$ is not even bounded...
– gangrene
Dec 1 at 2:00
@gangrene, oh how could I forget this.... How should I prove the statement then? Any suggestions?
– bbw
Dec 1 at 2:01
The set of degree $n$ polynomials within distance $le D$ of $f$ is bounded, and if $D=|f|$, is non-empty.
– kimchi lover
Dec 1 at 2:08
@kimchilover, you mean the set of $n$-th degree polynomials with the property that $||p(x)||_{infty} leq ||f||_{infty}$ is bounded. So we can apply the result I mentioned above?
– bbw
Dec 1 at 2:15
Yes, with a few details to fill in.
– kimchi lover
Dec 1 at 2:17
add a comment |
The set of polynomials of degree at most $n$ is not even bounded...
– gangrene
Dec 1 at 2:00
@gangrene, oh how could I forget this.... How should I prove the statement then? Any suggestions?
– bbw
Dec 1 at 2:01
The set of degree $n$ polynomials within distance $le D$ of $f$ is bounded, and if $D=|f|$, is non-empty.
– kimchi lover
Dec 1 at 2:08
@kimchilover, you mean the set of $n$-th degree polynomials with the property that $||p(x)||_{infty} leq ||f||_{infty}$ is bounded. So we can apply the result I mentioned above?
– bbw
Dec 1 at 2:15
Yes, with a few details to fill in.
– kimchi lover
Dec 1 at 2:17
The set of polynomials of degree at most $n$ is not even bounded...
– gangrene
Dec 1 at 2:00
The set of polynomials of degree at most $n$ is not even bounded...
– gangrene
Dec 1 at 2:00
@gangrene, oh how could I forget this.... How should I prove the statement then? Any suggestions?
– bbw
Dec 1 at 2:01
@gangrene, oh how could I forget this.... How should I prove the statement then? Any suggestions?
– bbw
Dec 1 at 2:01
The set of degree $n$ polynomials within distance $le D$ of $f$ is bounded, and if $D=|f|$, is non-empty.
– kimchi lover
Dec 1 at 2:08
The set of degree $n$ polynomials within distance $le D$ of $f$ is bounded, and if $D=|f|$, is non-empty.
– kimchi lover
Dec 1 at 2:08
@kimchilover, you mean the set of $n$-th degree polynomials with the property that $||p(x)||_{infty} leq ||f||_{infty}$ is bounded. So we can apply the result I mentioned above?
– bbw
Dec 1 at 2:15
@kimchilover, you mean the set of $n$-th degree polynomials with the property that $||p(x)||_{infty} leq ||f||_{infty}$ is bounded. So we can apply the result I mentioned above?
– bbw
Dec 1 at 2:15
Yes, with a few details to fill in.
– kimchi lover
Dec 1 at 2:17
Yes, with a few details to fill in.
– kimchi lover
Dec 1 at 2:17
add a comment |
1 Answer
1
active
oldest
votes
up vote
1
down vote
Theorem (Distance between compact sets): Let $(X,d)$ be some metric space, $A,Bsubset X$ be nonempty and compact.
Then there are $xin A$ and $yin B$ with
$$d(x,y)=d(A,B).$$
Here, the distance between two sets $P,Qsubset X$ is defined as
$$d(P,Q) = inf_{xin P, yin Q}d(x,y).$$
Proof: Let $(x_n,y_n)_{ninBbb N}subset Atimes B$ be a minimizing sequence, say
$$d(A,B) leqslant d(x_n,y_n) < d(A,B)+frac1n.$$
Because $A$ is compact, there is a subsequence $(x_{n_k})_{kinmathbb N}$ that is convergent, say to $xin A$.
Because $B$ is compact, there is a subsequence $(y_{n_{k_j}})_{jinmathbb N}$ that is convergent, say to $yin B$.
Then, as $jtoinfty$ we see from
$$d(A,B) leqslant dleft(x_{n_{k_j}},y_{n_{k_j}}right) < d(A,B)+frac1{{n_{k_j}}}$$
that $d(x,y) = d(A,B)$. $square$
We will use the theorem with $A = {f}subset C[0,1]$.
For $B$, let $P_nsubset C[0,1]$ be the subset of $n$-degree polynomials.
Pick any $qin P_n$ and consider $B = overline{mathcal B(f,lVert qrVert)}cap P_n$.
It suffices to check that $B$ is compact.
To that end, notice that $P_n$ is a closed, finite-dimensional subspace of $C[0,1]$, so that $B$ is the intersection of two closed sets and hence closed.
Moreover, $B$ is by construction bounded, so it is a closed and bounded subset of a finite-dimensional normed space, and hence compact.
The theorem will produce some $p$ that minimizes distance to $f$ over $B$.
Can you see why $p$ minimizes distance over all of $P_n$? (Use the triangle inequality!)
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
Theorem (Distance between compact sets): Let $(X,d)$ be some metric space, $A,Bsubset X$ be nonempty and compact.
Then there are $xin A$ and $yin B$ with
$$d(x,y)=d(A,B).$$
Here, the distance between two sets $P,Qsubset X$ is defined as
$$d(P,Q) = inf_{xin P, yin Q}d(x,y).$$
Proof: Let $(x_n,y_n)_{ninBbb N}subset Atimes B$ be a minimizing sequence, say
$$d(A,B) leqslant d(x_n,y_n) < d(A,B)+frac1n.$$
Because $A$ is compact, there is a subsequence $(x_{n_k})_{kinmathbb N}$ that is convergent, say to $xin A$.
Because $B$ is compact, there is a subsequence $(y_{n_{k_j}})_{jinmathbb N}$ that is convergent, say to $yin B$.
Then, as $jtoinfty$ we see from
$$d(A,B) leqslant dleft(x_{n_{k_j}},y_{n_{k_j}}right) < d(A,B)+frac1{{n_{k_j}}}$$
that $d(x,y) = d(A,B)$. $square$
We will use the theorem with $A = {f}subset C[0,1]$.
For $B$, let $P_nsubset C[0,1]$ be the subset of $n$-degree polynomials.
Pick any $qin P_n$ and consider $B = overline{mathcal B(f,lVert qrVert)}cap P_n$.
It suffices to check that $B$ is compact.
To that end, notice that $P_n$ is a closed, finite-dimensional subspace of $C[0,1]$, so that $B$ is the intersection of two closed sets and hence closed.
Moreover, $B$ is by construction bounded, so it is a closed and bounded subset of a finite-dimensional normed space, and hence compact.
The theorem will produce some $p$ that minimizes distance to $f$ over $B$.
Can you see why $p$ minimizes distance over all of $P_n$? (Use the triangle inequality!)
add a comment |
up vote
1
down vote
Theorem (Distance between compact sets): Let $(X,d)$ be some metric space, $A,Bsubset X$ be nonempty and compact.
Then there are $xin A$ and $yin B$ with
$$d(x,y)=d(A,B).$$
Here, the distance between two sets $P,Qsubset X$ is defined as
$$d(P,Q) = inf_{xin P, yin Q}d(x,y).$$
Proof: Let $(x_n,y_n)_{ninBbb N}subset Atimes B$ be a minimizing sequence, say
$$d(A,B) leqslant d(x_n,y_n) < d(A,B)+frac1n.$$
Because $A$ is compact, there is a subsequence $(x_{n_k})_{kinmathbb N}$ that is convergent, say to $xin A$.
Because $B$ is compact, there is a subsequence $(y_{n_{k_j}})_{jinmathbb N}$ that is convergent, say to $yin B$.
Then, as $jtoinfty$ we see from
$$d(A,B) leqslant dleft(x_{n_{k_j}},y_{n_{k_j}}right) < d(A,B)+frac1{{n_{k_j}}}$$
that $d(x,y) = d(A,B)$. $square$
We will use the theorem with $A = {f}subset C[0,1]$.
For $B$, let $P_nsubset C[0,1]$ be the subset of $n$-degree polynomials.
Pick any $qin P_n$ and consider $B = overline{mathcal B(f,lVert qrVert)}cap P_n$.
It suffices to check that $B$ is compact.
To that end, notice that $P_n$ is a closed, finite-dimensional subspace of $C[0,1]$, so that $B$ is the intersection of two closed sets and hence closed.
Moreover, $B$ is by construction bounded, so it is a closed and bounded subset of a finite-dimensional normed space, and hence compact.
The theorem will produce some $p$ that minimizes distance to $f$ over $B$.
Can you see why $p$ minimizes distance over all of $P_n$? (Use the triangle inequality!)
add a comment |
up vote
1
down vote
up vote
1
down vote
Theorem (Distance between compact sets): Let $(X,d)$ be some metric space, $A,Bsubset X$ be nonempty and compact.
Then there are $xin A$ and $yin B$ with
$$d(x,y)=d(A,B).$$
Here, the distance between two sets $P,Qsubset X$ is defined as
$$d(P,Q) = inf_{xin P, yin Q}d(x,y).$$
Proof: Let $(x_n,y_n)_{ninBbb N}subset Atimes B$ be a minimizing sequence, say
$$d(A,B) leqslant d(x_n,y_n) < d(A,B)+frac1n.$$
Because $A$ is compact, there is a subsequence $(x_{n_k})_{kinmathbb N}$ that is convergent, say to $xin A$.
Because $B$ is compact, there is a subsequence $(y_{n_{k_j}})_{jinmathbb N}$ that is convergent, say to $yin B$.
Then, as $jtoinfty$ we see from
$$d(A,B) leqslant dleft(x_{n_{k_j}},y_{n_{k_j}}right) < d(A,B)+frac1{{n_{k_j}}}$$
that $d(x,y) = d(A,B)$. $square$
We will use the theorem with $A = {f}subset C[0,1]$.
For $B$, let $P_nsubset C[0,1]$ be the subset of $n$-degree polynomials.
Pick any $qin P_n$ and consider $B = overline{mathcal B(f,lVert qrVert)}cap P_n$.
It suffices to check that $B$ is compact.
To that end, notice that $P_n$ is a closed, finite-dimensional subspace of $C[0,1]$, so that $B$ is the intersection of two closed sets and hence closed.
Moreover, $B$ is by construction bounded, so it is a closed and bounded subset of a finite-dimensional normed space, and hence compact.
The theorem will produce some $p$ that minimizes distance to $f$ over $B$.
Can you see why $p$ minimizes distance over all of $P_n$? (Use the triangle inequality!)
Theorem (Distance between compact sets): Let $(X,d)$ be some metric space, $A,Bsubset X$ be nonempty and compact.
Then there are $xin A$ and $yin B$ with
$$d(x,y)=d(A,B).$$
Here, the distance between two sets $P,Qsubset X$ is defined as
$$d(P,Q) = inf_{xin P, yin Q}d(x,y).$$
Proof: Let $(x_n,y_n)_{ninBbb N}subset Atimes B$ be a minimizing sequence, say
$$d(A,B) leqslant d(x_n,y_n) < d(A,B)+frac1n.$$
Because $A$ is compact, there is a subsequence $(x_{n_k})_{kinmathbb N}$ that is convergent, say to $xin A$.
Because $B$ is compact, there is a subsequence $(y_{n_{k_j}})_{jinmathbb N}$ that is convergent, say to $yin B$.
Then, as $jtoinfty$ we see from
$$d(A,B) leqslant dleft(x_{n_{k_j}},y_{n_{k_j}}right) < d(A,B)+frac1{{n_{k_j}}}$$
that $d(x,y) = d(A,B)$. $square$
We will use the theorem with $A = {f}subset C[0,1]$.
For $B$, let $P_nsubset C[0,1]$ be the subset of $n$-degree polynomials.
Pick any $qin P_n$ and consider $B = overline{mathcal B(f,lVert qrVert)}cap P_n$.
It suffices to check that $B$ is compact.
To that end, notice that $P_n$ is a closed, finite-dimensional subspace of $C[0,1]$, so that $B$ is the intersection of two closed sets and hence closed.
Moreover, $B$ is by construction bounded, so it is a closed and bounded subset of a finite-dimensional normed space, and hence compact.
The theorem will produce some $p$ that minimizes distance to $f$ over $B$.
Can you see why $p$ minimizes distance over all of $P_n$? (Use the triangle inequality!)
answered 2 days ago
Fimpellizieri
17.2k11836
17.2k11836
add a comment |
add a comment |
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The set of polynomials of degree at most $n$ is not even bounded...
– gangrene
Dec 1 at 2:00
@gangrene, oh how could I forget this.... How should I prove the statement then? Any suggestions?
– bbw
Dec 1 at 2:01
The set of degree $n$ polynomials within distance $le D$ of $f$ is bounded, and if $D=|f|$, is non-empty.
– kimchi lover
Dec 1 at 2:08
@kimchilover, you mean the set of $n$-th degree polynomials with the property that $||p(x)||_{infty} leq ||f||_{infty}$ is bounded. So we can apply the result I mentioned above?
– bbw
Dec 1 at 2:15
Yes, with a few details to fill in.
– kimchi lover
Dec 1 at 2:17