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description/proof of that for Hilbert space, nonempty closed convex subset, and point on Hilbert space, there is unique point on subset whose distance to point is minimum
Topics
About:
vectors space
About:
topological space
The table of contents of this article
Starting Context
Target Context
-
The reader will have a description and a proof of the proposition that for any Hilbert space, any nonempty closed convex subset, and any point on the Hilbert space, there is the unique point on the subset whose distance to the point is the minimum.
Orientation
There is a list of definitions discussed so far in this site.
There is a list of propositions discussed so far in this site.
Main Body
1: Structured Description
Here is the rules of Structured Description.
Entities:
: , with the canonical field structure
: , with , , and
:
:
//
Statements:
//
2: Note
The space's being Hilbert is crucial.
For example, when the space is the metric topological subspace of the Euclidean metric space, , that (the subspace) is the union of the open unit disc and the point, , the open unit disc is a nonempty closed convex subset (the intersection of the closed unit disk on and the subspace), and the infimum of the distances from is , but there is no point on the closed subset whose distance to the point is , in fact, there is no point on the space whose distance to the point is .
Also the closed subset's being convex is crucial for Proof: at least, obviously, the uniqueness does not generally hold if the closed subset is not convex.
3: Proof
Whole Strategy: Step 1: see that infimum of the distances, , exists; Step 2: take any sequence of points on whose distances converge to ; Step 3: see that the sequence is a Cauchy sequence; Step 4: see that the convergence is on ; Step 5: see that the distance of the convergence to is ; Step 6: see that there is no other point on whose distance to is .
Step 1:
As is a subset of lower bounded by , has the infimum : which is a nature of .
Step 2:
Let us take any sequence of points on , , such that , which is possible because : there may be some duplications, which does not matter.
converges to .
Step 3:
Let us see that the sequence of points is a Cauchy sequence.
.
By the parallelogram law on any vectors space normed induced by any inner product, .
For any , there is an such that for each , .
, because is convex, so, .
So, .
So, the sequence of points is a Cauchy sequence.
Step 4:
As is complete, there is the convergence of the sequence, .
is an accumulation point of , because for each open ball around , there is a contained in the open ball, because the sequence converges to .
By the proposition that the closure of any subset is the union of the subset and the accumulation points set of the subset, is on the closure of , but the closure of is , because is closed.
So, .
Step 5:
The distance map, , with fixed is a continuous map, by the proposition that any metric is continuous with respect to the topology induced by the metric and the proposition that for any continuous map from any product topological space into any topological space, the induced map with any set of some components of the domain fixed is continuous.
As converges to , , by the proposition that for any continuous map and any net with directed index set that converges to any point on the domain, the image of the net converges to the image of the point and if the codomain is Hausdorff, the convergence of the image of the net is the image of the point.
So, there is at least 1 such that .
Step 6:
Let us see that there is no other point on whose distance to is .
Let us suppose there was another such that .
.
By the parallelogram law on any vectors space normed induced by any inner product, , but , , and as , , so, , which implies that , which implies that .
References
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description/proof of that for continuous map and net with directed index set that converges to point on domain, image of net converges to image of point and if codomain is Hausdorff, convergence of image of net is image of point
Topics
About:
topological space
The table of contents of this article
Starting Context
Target Context
-
The reader will have a description and a proof of the proposition that for any continuous map and any net with directed index set that converges to any point on the domain, the image of the net converges to the image of the point and if the codomain is Hausdorff, the convergence of the image of the net is the image of the point.
Orientation
There is a list of definitions discussed so far in this site.
There is a list of propositions discussed so far in this site.
Main Body
1: Structured Description
Here is the rules of Structured Description.
Entities:
:
:
: ,
:
: ,
: ,
:
//
Statements:
(
)
//
2: Note
"the convergence of net" makes sense only when there is the unique convergence of the net.
So, 'the net converges to a point' is different from 'the convergence of the net is the point': the latter means that there is the unique convergence of the net.
The 1st-half of this proposition says that converges to ; the 2nd-half of this proposition says that has the unique convergence and the convergence is .
3: Proof
Whole Strategy: Step 1: see that is a net with ; Step 2: take any neighborhood of , ; Step 3: take an open neighborhood of , , such that ; Step 4: take a such that for each such that , ; Step 5: see that ; Step 6: suppose that is Hausdorff, and see that the convergence of is unique and is .
Step 1:
is , and so, is a net with .
Step 2:
Let us take any neighborhood of , .
Step 3:
As is continuous, there is an open neighborhood of , , such that .
Step 4:
As converges to , there is a such that for each such that , .
Step 5:
For each such that , , which means that converges to .
But that does not necessarily mean that is the unique convergence. So, it is not warranted to talk about "the convergence of ".
Step 6:
Let us suppose that is Hausdorff.
By the proposition that for any Hausdorff topological space, any net with directed index set can have only 1 convergence at most, there is at most 1 convergence, but there is indeed a convergence, , and so, is the unique convergence of .
So, it is warranted to denote .
References
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description/proof of that metric is continuous w.r.t. topology induced by metric
Topics
About:
metric space
The table of contents of this article
Starting Context
Target Context
-
The reader will have a description and a proof of the proposition that any metric is continuous with respect to the topology induced by the metric.
Orientation
There is a list of definitions discussed so far in this site.
There is a list of propositions discussed so far in this site.
Main Body
1: Structured Description
Here is the rules of Structured Description.
Entities:
: , with metric, with the topology induced by
:
//
Statements:
//
2: Proof
Whole Strategy: Step 1: take any , any neighborhood of , , and an open ball around , , such that ; Step 2: take the open neighborhood of , , and see that .
Step 1:
Let be any.
Let be any neighborhood of .
There is an open ball around , , such that .
Step 2:
Let us take the open neighborhood of , , which is indeed open on by the definition of topology induced by metric and the definition of product topology.
For any point, , , so, ; , so, ; so, .
That means that . So, is continuous.
References
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description/proof of that topological space induced by metric is Hausdorff
Topics
About:
topological space
The table of contents of this article
Starting Context
Target Context
-
The reader will have a description and a proof of the proposition that the topological space induced by any metric is Hausdorff.
Orientation
There is a list of definitions discussed so far in this site.
There is a list of propositions discussed so far in this site.
Main Body
1: Structured Description
Here is the rules of Structured Description.
Entities:
: , induced by any metric,
//
Statements:
//
2: Proof
Whole Strategy: Step 1: for each such that , take the open neighborhood of , , and the open neighborhood of , ,, and see that .
Step 1:
Let be any such that .
.
Let us take the open neighborhood of , , and the open neighborhood of , ,.
Let us see that .
Let be any.
, so, , but , so, , which means that .
So, .
References
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description/proof of that derivation of tensor product of tensors by real parameter satisfies Leibniz rule
Topics
About:
vectors space
The table of contents of this article
Starting Context
Target Context
-
The reader will have a description and a proof of the proposition that the derivation of the tensor product of any tensors by any real parameter satisfies the Leibniz rule.
Orientation
There is a list of definitions discussed so far in this site.
There is a list of propositions discussed so far in this site.
Main Body
1: Structured Description
Here is the rules of Structured Description.
Entities:
: , with the subspace topology with as the Euclidean topological space
:
:
: , with the canonical topology
: , with the canonical topology
:
:
: , with the canonical topology
:
//
Statements:
//
2: Proof
Whole Strategy: Step 1: for each of , take any basis, , and take the standard bases for , , and , , , and ; Step 2: let , , and be expressed with the bases; Step 3: take and apply the proposition that for any map from any topological space minus any point into any finite-dimensional real vectors space with the canonical topology, the convergence of the map with respect to the point exists if and only if the convergences of the component maps (with respect to any basis) with respect to the point exist, and then, the convergence Is expressed with the convergences.
Step 1:
For each of , let us take any basis, .
Let us take the standard basis for , , which is possible by the proposition that for any field and any finite-dimensional vectors spaces over the field, the tensors space with respect to the field and the vectors spaces and the field has the basis that consists of the tensor products of the elements of the dual bases of any bases of the vectors spaces.
Let us take the standard basis for , , which is possible likewise.
Let us take the standard basis for , , which is possible likewise.
Step 2:
.
.
So, .
By the property of tensor product of tensors mentioned in Note for the definition of tensor product of tensors, , which is the expansion of with respect to .
Step 3:
.
.
By the proposition that for any map from any topological space minus any point into any finite-dimensional real vectors space with the canonical topology, the convergence of the map with respect to the point exists if and only if the convergences of the component maps (with respect to any basis) with respect to the point exist, and then, the convergence Is expressed with the convergences, and exist.
By the well-known fact in real analysis, exists and equals .
By the proposition that for any map from any topological space minus any point into any finite-dimensional real vectors space with the canonical topology, the convergence of the map with respect to the point exists if and only if the convergences of the component maps (with respect to any basis) with respect to the point exist, and then, the convergence Is expressed with the convergences, exists and equals .
.
References
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description/proof of that for finite-product manifold with boundary and 'vectors spaces - linear morphisms' isomorphism from tangent vectors space onto direct sum of tangent vectors spaces, tangent vector operates on function as sum of vectors on projected functions
Topics
About:
manifold
The table of contents of this article
Starting Context
Target Context
-
The reader will have a description and a proof of the proposition that for any finite-product manifold with boundary and the 'vectors spaces - linear morphisms' isomorphism from the tangent vectors space at each point onto the direct sum of the corresponding tangent vectors spaces of the constituents, any tangent vector operates on any function as the sum of the corresponding vectors on the projected functions.
Orientation
There is a list of definitions discussed so far in this site.
There is a list of propositions discussed so far in this site.
Main Body
1: Structured Description
Here is the rules of Structured Description.
Entities:
:
:
:
:
: ,
:
:
//
Statements:
//
2: Note
We know that corresponds to , but so what? I mean, how can we get with respect to ? Certainly, cannot operate on , because is not any function on . So, what?, which is the motivation of this proposition.
3: Proof
Whole Strategy: Step 1: take any chart around , , and let ; Step 2: see that .
Step 1:
Let us take any chart around , , where is a chart around for , which is possible by the definition of finite-product manifold with boundary.
.
Step 2:
.
.
, where is the partial derivative by the component.
is .
So, when , , because does not depend on .
So, .
On the other hand, .
is .
While the difference between and is whether are fixed, equals , because moves only anyway.
So, .
So, .
References
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definition of map projected from map from finite-product manifold with boundary by fixing domain components except -th based on point
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About:
manifold
The table of contents of this article
Starting Context
Target Context
-
The reader will have a definition of map projected from map from finite-product manifold with boundary by fixing domain components except -th based on point.
Orientation
There is a list of definitions discussed so far in this site.
There is a list of propositions discussed so far in this site.
Main Body
1: Structured Description
Here is the rules of Structured Description.
Entities:
:
:
:
:
: ,
:
:
: , where is for the -th slot
//
Conditions:
//
2: Note
Let us see that is indeed .
Let be any.
.
As is at , there are a chart around , , and a chart around , , such that and is at .
By the of finite-product manifold with boundary, can be chosen as and , where is a chart for , while and .
Obviously, .
is the chart around .
, because for each , , but while .
Let us think of .
It is .
That is in fact same with where is fixed.
As is at , it is with respect to , so, is with respect to .
So, is at .
References
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definition of map induced from map from finite-product manifold with boundary by fixing some domain components based on point
Topics
About:
manifold
The table of contents of this article
Starting Context
Target Context
-
The reader will have a definition of map induced from map from finite-product manifold with boundary by fixing some domain components based on point.
Orientation
There is a list of definitions discussed so far in this site.
There is a list of propositions discussed so far in this site.
Main Body
1: Structured Description
Here is the rules of Structured Description.
Entities:
:
:
:
:
: ,
:
:
: , which means that are used except
//
Conditions:
//
When , is denoted also as , which is a typical case.
2: Note
Let us see that is indeed .
Let be any.
.
As is at , there are a chart around , , and a chart around , , such that and is at .
By the definition of finite-product manifold with boundary, can be chosen as and , where is a chart for . and .
Obviously, .
Let us take any chart around , , such that and , where is a chart for , while and are the ones introduced above.
, because for each , , but while .
Let us think of .
It is .
That is in fact same with where is fixed.
As is at , it is with respect to , so, is with respect to .
is constant with respect to , so, is with respect to .
So, is with respect .
So, is at .
References
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description/proof of that for continuous map between topological spaces and subset of domain mapped into open subset of codomain, there is open neighborhood of domain subset mapped into open subset
Topics
About:
topological space
The table of contents of this article
Starting Context
Target Context
-
The reader will have a description and a proof of the proposition that for any continuous map between any topological spaces and any subset of the domain that is mapped into any open subset of the codomain, there is an open neighborhood of the domain subset mapped into the codomain open subset.
Orientation
There is a list of definitions discussed so far in this site.
There is a list of propositions discussed so far in this site.
Main Body
1: Structured Description
Here is the rules of Structured Description.
Entities:
:
:
: ,
:
:
//
Statements:
//
2: Proof
Whole Strategy: Step 1: for each , take an open neighborhood of , , such that ; Step 2: take and see that .
Step 1:
Let be any.
, which means that is an open neighborhood of .
As is continuous, there is an open neighborhood of , , such that .
Step 2:
Let us define , which is open on .
, because for each , .
For each , for an . So, because .
So, .
References
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