Showing posts with label Definitions and Propositions. Show all posts
Showing posts with label Definitions and Propositions. Show all posts

2024-04-14

538: Convex Set Spanned by Possibly-Non-Affine-Independent Set of Base Points on Real Vectors Space

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definition of convex set spanned by possibly-non-affine-independent set of base points on real vectors space

Topics


About: vectors space

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of convex set spanned by possibly-non-affine-independent set of base points on real vectors space.

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:
\( V\): \(\in \{\text{ the real vectors spaces }\}\)
\( \{p_0, ..., p_n\}\): \(\subseteq V\), \(\in \{\text{ the possibly-non-affine-independent sets of base points on } V\}\)
\(*S\): \(= \{\sum_{j = 0 \sim n} t^j p_j \in V \vert t^j \in \mathbb{R}, \sum_{j = 0 \sim n} t^j = 1 \land 0 \le t^j\}\)
//

Conditions:
//


2: Natural Language Description


For any real vectors space, \(V\), and any possibly-non-affine-independent set of base points, \(p_0, ..., p_n \in V\), the set, \(S := \{\sum_{j = 0 \sim n} t^j p_j \in V \vert t^j \in \mathbb{R}, \sum_{j = 0 \sim n} t^j = 1 \land 0 \le t^j\}\), which is the set of all the convex combinations of the set of the base points


3: Note


\(S\) is not necessarily any affine simplex spanned by an affine-independent subset of the base points, by the proposition that the convex set spanned by a non-affine-independent set of base points on a real vectors space is not necessarily any affine simplex spanned by an affine-independent subset of the base points.

But \(S\) is a convex set anyway, as is proved in the proposition that the convex set spanned by any possibly-non-affine-independent set of base points on any real vectors space is convex.


References


<The previous article in this series | The table of contents of this series | The next article in this series>

537: Affine Set Spanned by Possibly-Non-Affine-Independent Set of Base Points on Real Vectors Space

<The previous article in this series | The table of contents of this series | The next article in this series>

definition of affine set spanned by possibly-non-affine-independent set of base points on real vectors space

Topics


About: vectors space

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of affine set spanned by possibly-non-affine-independent set of base points on real vectors space.

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:
\( V\): \(\in \text{ the real vectors spaces }\)
\( \{p_0, ..., p_n\}\): \(\subseteq V\), \(\in \{\text{ the possibly-non-affine-independent sets of base points on } V\}\)
\(*S\): \(\{\sum_{j = 0 \sim n} t^j p_j \in V \vert t^j \in \mathbb{R}, \sum_{j = 0 \sim n} t^j = 1\}\)
//

Conditions:
//


2: Natural Language Description


For any real vectors space, \(V\), and any possibly-non-affine-independent set of base points, \(p_0, ..., p_n \in V\), the set, \(S := \{\sum_{j = 0 \sim n} t^j p_j \in V \vert t^j \in \mathbb{R}, \sum_{j = 0 \sim n} t^j = 1\}\), which is the set of all the affine combinations of the set of the base points


3: Note


\(S\) is the affine set spanned by an affine-independent subset of the base points, by the proposition that the affine set spanned by any non-affine-independent set of base points on any real vectors space is the affine set spanned by an affine-independent subset of the base points.


References


<The previous article in this series | The table of contents of this series | The next article in this series>

536: Convex Combination of Possibly-Non-Affine-Independent Set of Base Points on Real Vectors Space

<The previous article in this series | The table of contents of this series | The next article in this series>

definition of convex combination of possibly-non-affine-independent set of base points on real vectors space

Topics


About: vectors space

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of convex combination of possibly-non-affine-independent set of base points on real vectors space.

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:
\( V\): \(\in \text{ the real vectors spaces }\)
\( \{p_0, ..., p_n\}\): \(\subseteq V\), \(\in \{\text{ the possibly-non-affine-independent sets of base points on } V\}\)
\(*p\): \( = \sum_{j = 0 \sim n} t^j p_j \in V\), \(t^j \in \mathbb{R}\)
//

Conditions:
\(\sum_{j = 0 \sim n} t^j = 1 \land 0 \le t^j\)
//


2: Natural Language Description


For any real vectors space, \(V\), and any possibly-non-affine-independent set of base points, \(p_0, ..., p_n \in V\), any point, \(p = \sum_{j = 0 \sim n} t^j p_j \in V\), such that \(t^j \in \mathbb{R}, \sum_{j = 0 \sim n} t^j = 1 \land 0 \le t^j\)


References


<The previous article in this series | The table of contents of this series | The next article in this series>

535: Affine Combination of Possibly-Non-Affine-Independent Set of Base Points on Real Vectors Space

<The previous article in this series | The table of contents of this series | The next article in this series>

definition of affine combination of possibly-non-affine-independent set of base points on real vectors space

Topics


About: vectors space

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of affine combination of possibly-non-affine-independent set of base points on real vectors space.

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:
\( V\): \(\in \text{ the real vectors spaces }\)
\( \{p_0, ..., p_n\}\): \(\subseteq V\), \(\in \{\text{ the possibly-non-affine-independent sets of base points on } V\}\)
\(*p\): \( = \sum_{j = 0 \sim n} t^j p_j \in V\), \(t^j \in \mathbb{R}\)
//

Conditions:
\(\sum_{j = 0 \sim n} t^j = 1\)
//


2: Natural Language Description


For any real vectors space, \(V\), and any possibly-non-affine-independent set of base points, \(p_0, ..., p_n \in V\), any point, \(p = \sum_{j = 0 \sim n} t^j p_j \in V\), such that \(t^j \in \mathbb{R}, \sum_{j = 0 \sim n} t^j = 1\)


References


<The previous article in this series | The table of contents of this series | The next article in this series>

534: Affine-Independent Set of Points on Real Vectors Space

<The previous article in this series | The table of contents of this series | The next article in this series>

definition of affine-independent set of points on real vectors space

Topics


About: vectors space

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of affine-independent set of points on real vectors space.

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:
\( V\): \(\in \text{ the real vectors spaces }\)
\(*\{p_0, ..., p_n\}\): \(\subseteq V\)
//

Conditions:
\(\forall j \in \{0, ..., n\} (\{p_0 - p_j, ..., \widehat{p_j - p_j}, ..., p_n - p_j\} \text{ is linearly independent })\), where the hat mark denotes that the component is missing.
//


2: Natural Language Description


For any real vectors space, \(V\), any set of points, \(\{p_0, ..., p_n\} \subseteq V\), such that for each \(p_j\), \(\{p_0 - p_j, ..., \widehat{p_j - p_j}, ..., p_n - p_j\}\) is linearly independent, where the hat mark denotes that the component is missing


3: Note


In fact, if the set is linearly independent for a \(p_j\), inevitably, the set is linearly independent for each \(p_j\), by the proposition that for any finite set of points on any real vectors space, if for one of the points, the set of the subtractions of the point from the other points is linearly independent, it is so for each point.


References


<The previous article in this series | The table of contents of this series | The next article in this series>

533: For Finite Set of Points on Real Vectors Space, if for Point, Set of Subtractions of Point from Other Points Is Linearly Independent, It Is So for Each Point

<The previous article in this series | The table of contents of this series | The next article in this series>

description/proof of that for finite set of points on real vectors space, if for point, set of subtractions of point from other points are linearly independent, it is so for each point

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 for any finite set of points on any real vectors space, if for one of the points, the set of the subtractions of the point from the other points is linearly independent, it is so for each 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:
\(V\): \(\in \{\text{ the real vectors spaces }\}\)
\(\{p_0, ..., p_n\}\): \(\subseteq V\)
//

Statements:
\(\exists p_k (\{p_0 - p_k, ..., \widehat{p_k - p_k}, p_n - p_k\} \text{ is linearly independent })\), where the hat mark denotes that the component is missing
\(\implies\)
\(\forall p_l (\{p_0 - p_l, ..., \widehat{p_l - p_l}, p_n - p_l\} \text{ is linearly independent })\).
//


2: Natural Language Description


For any real vectors space, \(V\), and any finite set of points, \(\{p_0, ..., p_n\} \subseteq V\), if for a \(p_k\), \(\{p_0 - p_k, ..., \widehat{p_j - p_k}, p_n - p_k\}\) is linearly independent, where the hat mark denotes that the component is missing, for each \(p_l\), \(\{p_0 - p_l, ..., \widehat{p_l - p_l}, p_n - p_l\}\) is linearly independent.


3: Proof


Let us suppose that \(\{p_0 - p_k, ..., \widehat{p_k - p_k}, p_n - p_k\}\) is linearly independent.

Let \(l\) be any \(l \in \{0, ..., n\}\) and \(l \neq k\) and \(J_l := \{0, ..., n\} \setminus \{l\}\).

Let \(\sum_{j \in J_l} (t^j (p_j - p_l)) = 0\). \(= \sum_{j \in J_l} (t^j (p_j - p_k + p_k - p_l)) = \sum_{j \in J_l} (t^j (p_j - p_k)) - \sum_{j \in J_l} (t^j (p_l - p_k)) = \sum_{j \in J_l} (t^j (p_j - p_k)) - (\sum_{j \in J_l} t^j) (p_l - p_k)\). Then, \(t^j = 0\) for each \(j \neq k\) and \(\sum_{j \in J_l} t^j = 0\), but \(\sum_{j \in J_l} t^j = t^k = 0\). So, each \(t^j\) is \(0\), which means that \(\{p_0 - p_l, ..., \widehat{p_l - p_l}, p_n - p_l\}\) is linearly independent.


References


<The previous article in this series | The table of contents of this series | The next article in this series>

532: Linearly Independent Subset of Module

<The previous article in this series | The table of contents of this series | The next article in this series>

definition of linearly independent subset of module

Topics


About: module

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of linearly independent subset of module.

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:
\( R\): \(\in \{\text{ the rings }\}\)
\( M\): \(\in \{\text{ the } R \text{ modules }\}\)
\(*S\): \(\subseteq M\), \(\in \{\text{ the possibly uncountable sets }\}\)
//

Conditions:
\(\forall S' \subseteq S, S' \in \{\text{ the finite sets }\}\)
(
\(\sum_{p_j \in S'} r^j p_j = 0, r^j \in R\)
\(\implies\)
\(\forall j (r^j = 0)\)
)
//


2: Natural Language Description


For any module, \(M\), over any ring, \(R\), any (possibly uncountable) subset, \(S \subseteq M\), such that for each finite subset, \(S' \subseteq S\), \(\sum_{p_j \in S'} r^j p_j = 0\) implies that \(r^j = 0\) for each \(j\), where \(r^j\) is any element of \(R\)


3: Note


As any vectors space is a module, 'linearly independent subset of vectors space' is nothing but 'linearly independent subset of module'.

We need to think of the linear combination of each finite subset instead of the linear combination of possibly infinite \(S\), because the convergence of the linear combination of any infinite elements is not defined without any extra structure like topology or metric.


References


<The previous article in this series | The table of contents of this series | The next article in this series>

531: %Ring Name% Module

<The previous article in this series | The table of contents of this series | The next article in this series>

definition of %ring name% module

Topics


About: module

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of %ring name% module.

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:
\( R\): \(\in \{\text{ the rings }\}\)
\(*M\): \(\in \{\text{ the sets }\}\) with any \(+: M \times M \to M\) (addition) operation and any \(.: R \times M \to M\) (scalar multiplication) operation
//

Conditions:
1) \(\forall m_1, m_2 \in M (m_1 + m_2 \in M)\) (closed-ness under addition)
\(\land\)
2) \(\forall m_1, m_2 \in M (m_1 + m_2 = m_2 + m_1)\) (commutativity of addition)
\(\land\)
3) \(\forall m_1, m_2, m_3 \in M ((m_1 + m_2) + m_3 = m_1 + (m_2 + m_3))\) (associativity of additions)
\(\land\)
4) \(\exists 0 \in M (\forall m \in M (m + 0 = m))\) (existence of 0 element)
\(\land\)
5) \(\forall m \in M (\exists m' \in M (m' + m = 0))\) (existence of inverse vector)
\(\land\)
6) \(\forall m \in M, \forall r \in R (r . m \in M)\) (closed-ness under scalar multiplication)
\(\land\)
7) \(\forall m \in M, \forall r_1, r_2 \in R ((r_1 + r_2) . m = r_1 . m + r_2 . m)\) (scalar multiplication distributability for scalars addition)
\(\land\)
8) \(\forall m_1, m_2 \in M, \forall r \in R (r . (m_1 + m_2) = r . m_1 + r . m_2)\) (scalar multiplication distributability for elements addition)
\(\land\)
9) \(\forall m \in M, \forall r_1, r_2 \in R ((r_1 r_2) . m = r_1 . (r_2 . m))\) (associativity of scalar multiplications)
\(\land\)
10) \(\forall m \in M (1 . m = m)\) (identity of 1 multiplication)
//


2: Natural Language Description


Any set, \(M\), with any \(+: M \times M \to M\) (addition) operation and any \(.: R \times M \to M\) (scaler multiplication) operation with respect to any ring, \(R\), that satisfies these conditions: 1) for any elements, \(m_1, m_2 \in M\), \(m_1 + m_2 \in M\) (closed-ness under addition); 2) for any elements, \(m_1, m_2 \in M\), \(m_1 + m_2 = m_2 + m_1\) (commutativity of addition); 3) for any elements, \(m_1, m_2, m_3 \in M\), \((m_1 + m_2) + m_3 = m_1 + (m_2 + m_3)\) (associativity of additions); 4) there is a 0 element, \(0 \in M\), such that for each \(m \in M\), \(m + 0 = m\) (existence of 0 element); 5) for any element, \(m \in M\), there is an inverse element, \(m' \in M\), such that \(m' + m = 0\) (existence of inverse vector); 6) for any element, \(m \in M\), and any scalar, \(r \in R\), \(r . m \in M\) (closed-ness under scalar multiplication); 7) for any element, \(m \in M\), and any scalars, \(r_1, r_2 \in R\), \((r_1 + r_2) . m = r_1 . m + r_2 . m\) (scalar multiplication distributability for scalars addition); 8) for any elements, \(m_1, m_2 \in M\), and any scalar, \(r \in R\), \(r . (m_1 + m_2) = r . m_1 + r . m_2\) (scalar multiplication distributability for elements addition); 9) for any element, \(m \in M\), and any scalars, \(r_1, r_2 \in R\), \((r_1 r_2) . m = r_1 . (r_2 . m)\) (associativity of scalar multiplications); 10) for any element, \(m \in M\), \(1 . m = m\) (identity of 1 multiplication)


3: Note


\(.\) is often omitted in notations like \(r m\) instead of \(r . m\).

The requirements 1) ~ 10) are in fact parallel to those for vectors space; the difference between vectors space and module is only that the scalar structure is a field or a ring, which makes a significant difference, because for example, for a module, \(r^1 m_1 + r^2 m_2 + r^3 m_3 = 0\) where \(r^1 \neq 0\) does not imply that \(m_1\) is a linear combination of \(m_2\) and \(m_3\), because \({r^1}^{-1}\) is not guaranteed to exist.


References


<The previous article in this series | The table of contents of this series | The next article in this series>

2024-04-07

524: Product Map

<The previous article in this series | The table of contents of this series | The next article in this series>

definition of product map

Topics


About: set

The table of contents of this article


Starting Context



Target Context


  • The reader will have a definition of product map.

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 1


Here is the rules of Structured Description.

Entities:
\( A\): \(\in \{\text{ the possibly uncountable index sets }\}\)
\( \{S_\alpha\}\): \(\alpha \in A\), \(S_\alpha \in \{\text{ the sets }\}\)
\( \{S'_\alpha\}\): \(\alpha \in A\), \(S'_\alpha \in \{\text{ the sets }\}\)
\( \{f_\alpha\}\): \(\alpha \in A\), \(: S_\alpha \to S'_\alpha\)
\(*\times_{\alpha \in A} f_\alpha\): \(:\times_{\alpha \in A} S_\alpha \to \times_{\alpha \in A} S'_\alpha, (\alpha \mapsto f (\alpha)) \mapsto (\alpha \mapsto f_\alpha (f (\alpha)))\)
//

Conditions:
//


2: Natural Language Description 1


For any possibly uncountable index set, \(A\), any sets, \(\{S_\alpha \vert \alpha \in A\}\), any sets, \(\{S'_\alpha \vert \alpha \in A\}\), and any maps, \(\{f_\alpha: S_\alpha \to S'_\alpha\}\), \(\times_{\alpha \in A} f_\alpha :\times_{\alpha \in A} S_\alpha \to \times_{\alpha \in A} S'_\alpha\), \((\alpha \mapsto f (\alpha)) \mapsto (f': \alpha \mapsto f_\alpha (f (\alpha)))\)


3: Structured Description 2


Here is the rules of Structured Description.

Entities:
\( J\): \(= \{1, ..., n\}\)
\( \{S_j\}\): \(j \in J\), \(S_j \in \{\text{ the sets }\}\)
\( \{S'_j\}\): \(j \in J\), \(S'_j \in \{\text{ the sets }\}\)
\( \{f_j\}\): \(j \in J\), \(: S_j \to S'_j\)
\(*f_1 \times f_2 \times ... \times f_n\): \(: S_1 \times S_2 \times ... \times S_n \to S'_1 \times S'_2 \times ... \times S'_n, (p_1, p_2, ..., p_n) \mapsto (f_1 (p_1), f_2 (p_2), ..., f_n (p_n))\)


Conditions:
//


4: Natural Language Description 2


For any finite number of sets, \(S_1, S_2, ..., S_n\), any same number of sets, \(S'_1, S'_2, ..., S'_n\), and any same number of maps, \(f_1: S_1 \to S'_1, f_2: S_2 \to S'_2, ..., f_n: S_n \to S'_n\), \(f_1 \times f_2 \times ... \times f_n: S_1 \times S_2 \times ... \times S_n \to S'_1 \times S'_2 \times ... \times S'_n\), \((p_1, p_2, ..., p_n) \mapsto (f_1 (p_1), f_2 (p_2), ..., f_n (p_n))\)


References


<The previous article in this series | The table of contents of this series | The next article in this series>

530: Sufficient Conditions for Existence of Unique Global Solution on Interval for Euclidean-Normed Euclidean Vectors Space ODE

<The previous article in this series | The table of contents of this series | The next article in this series>

description/proof of sufficient conditions for existence of unique global solution on interval for Euclidean-normed Euclidean vectors space ODE

Topics


About: normed vectors space
About: differential equation

The table of contents of this article


Starting Context



Target Context


  • The reader will have a description and a proof of some sufficient conditions with which there is the unique solution on the whole interval with any initial condition for any Euclidean-normed Euclidean vectors space ordinary differential equation.

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 1


Here is the rules of Structured Description.

Entities:
\(\mathbb{R}^d\): \(= \text{ the Euclidean-normed Euclidean vectors space }\)
\(\mathbb{R}\): \(= \text{ the Euclidean-normed Euclidean vectors space }\)
\(J\): \(\subseteq \mathbb{R}\), \(= [t_1, t_e]\)
\(f\): \(: \mathbb{R}^d \times J \to \mathbb{R}^d\), \(\in \{\text{ the } C^0 \text{ maps }\}\)
\(\frac{dx}{dt} = f (x, t)\): = the ordinary differential equation with any initial condition, \(x (t_1) = x_{t_1}\)
//

Statements:
\(\forall t_0 \in J\)
(
\(\exists [t_0 - \epsilon_{t_0, 1}, t_0 + \epsilon_{t_0, 2}]\) that satisfies the conditions for the local solution existence of the equation for the initial condition with any initial value, \(x_{t_0}\), for \(t_0\), where \(\epsilon_{t_0, j}\) is not zero except \(\epsilon_{t_1, 1}\) and \(\epsilon_{t_e, 2}\) and does not depend on \(x_{t_0}\) although can depend on \(t_0\), which means that there is a map, \(x_{t_0} \mapsto x (t)\) for each \(t \in [t_0 - \epsilon_{t_0, 1}, t_0 + \epsilon_{t_0, 2}]\), and the map is bijective
)
\(\implies\)
The ordinary differential equation has the unique solution on the entire \(J\).
//


2: Natural Language Description 1


For any Euclidean-normed Euclidean vectors space, \(\mathbb{R}^d\) and \(\mathbb{R}\), any closed interval, \(J \subseteq \mathbb{R} = [t_1, t_e]\), and any \(C^0\) map, \(f: \mathbb{R}^d \times J \to \mathbb{R}^d\), the ordinary differential equation, \(\frac{dx}{dt} = f (x, t)\) with any initial condition \(x (t_1) = x_{t_1}\), has the unique solution on the entire \(J\) if at each point, \(t_0 \in J\), there is a closed interval, \([t_0 - \epsilon_{t_0, 1}, t_0 + \epsilon_{t_0, 2}]\), that satisfies the conditions for the local solution existence of the equation for the initial condition with any initial value, \(x_{t_0}\), for \(t_0\), where \(\epsilon_{t_0, j}\) is not zero except \(\epsilon_{t_1, 1}\) and \(\epsilon_{t_e, 2}\), and does not depend on \(x_{t_0}\) although can depend on \(t_0\), which means that there is a map, \(x_{t_0} \mapsto x (t)\) for each \(t \in [t_0 - \epsilon_{t_0, 1}, t_0 + \epsilon_{t_0, 2}]\), and the map is bijective.


3: Proof 1


The open intervals, \((t_0 - \epsilon_{t_0, 1}, t_0 + \epsilon_{t_0, 2})\) for \(t_0 \neq t_1, t_e\), \([t_1, t_1 + \epsilon_{t_1, 2})\), and \((t_e - \epsilon_{t_e, 1}, t_e]\), cover compact \(J\), so, there is a finite subcover, \([t_1, t_1 + \epsilon_{t_1, 2}), (t_2 - \epsilon_{t_2, 1}, t_2 + \epsilon_{t_2, 2}), ..., (t_e - \epsilon_{t_e, 1}, t_e]\).

There is the local unique solution for \([t_1, t_1 + \epsilon_{t_1, 2})\) with the initial condition, \(\overline{x} (t_1) = x_{t_1}\), \(\overline{x}: [t_1, t_1 + \epsilon_{t_1, 2}) \to \mathbb{R}^d\). Let us define the restriction of \(x\), \(x \vert_{[t_1, t_1 + \epsilon_{t_1, 2})} = \overline{x}\).

There is an interval that intersects \([t_1, t_1 + \epsilon_{t_1, 2})\), \((t_{j_2} - \epsilon_{t_{j_2}, 1}, t_{j_2} + \epsilon_{t_{j_2}, 2})\), with an intersection point denoted as \(t_{1, j_2}\), and there is the local unique solution for it with the initial condition, \(\overline{x} (t_{j_2}) = x_{t_{j_2}}\), where \(x_{t_{j_2}}\) can be chosen such that \(\overline{x} (t_{1, j_2}) = x (t_{1, j_2})\), which is because the bijective map mentioned in Description is supposed to exist. In fact, \(\overline{x}\) coincides with \(x\) on the whole intersection area, because there is an interval around \(t_{1, j_2}\) and there is the unique solution on it with the initial condition, which has to agree with \(x\) and \(\overline{x}\) there, and if \(x\) and \(\overline{x}\) did not agree on the whole intersection area, \((t_{j_2} - \epsilon_{t_{j_2}, 1}, t_{j_2} + \epsilon_{t_{j_2}, 2})\) would have another solution by switching to \(x\) after passing \(t_{1, j_2}\) or \([t_1, t_1 + \epsilon_{t_1, 2})\) would have another solution by switching to \(\overline{x}\) after passing \(t_{1, j_2}\). Let us extend \(x\) to \([t_1, t_{j_2} + \epsilon_{t_{j_2}, 2})\) with \(\overline{x}\).

Thus, \(x\) can be extended to the whole \(J\). The extension is unique, because at each point, \(t_{j_k}\), \(x_{t_{j_k}}\) is determined uniquely.


4: Note 1


It is crucial that such a bijective map exists for this proposition. Just that there is a local solution around each point does not guaranteed the existence of any global solution, as is described in another article.


References


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529: Restriction of Continuous Embedding on Domain and Codomain Is Continuous Embedding

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description/proof of that restriction of continuous embedding on domain and codomain is continuous embedding

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 any restriction of any continuous embedding on the domain and the codomain is a continuous embedding.

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:
\(T_1\): \(\in \{\text{ the topological spaces }\}\)
\(T_2\): \(\in \{\text{ the topological spaces }\}\)
\(f\): \(: T_1 \to T_2\), \(\in \{\text{ the continuous embeddings }\}\)
\(S_1\): \(\subseteq T_1\)
\(S_2\): \(\subseteq T_2\), \(f (S_1) \subseteq S_2\)
\(f'\): \(: S_1 \to S_2, p \mapsto f (p)\)
//

Statements:
\(f' \in \{\text{ the continuous embeddings }\}\)
//


2: Natural Language Description


For any topological spaces, \(T_1, T_2\), any continuous embedding, \(f: T_1 \to T_2\), any subset, \(S_1 \subseteq T_1\), and any subset, \(S_2 \subseteq T_2\) such that \(f (S_1) \subseteq S_2\), \(f': S_1 \to S_2, p \mapsto f (p)\) is a continuous embedding.


3: Proof


\(f'\) is injective, because \(f\) is so.

\(f'\) is continuous, by the proposition that any restriction of any continuous map on the domain and the codomain is continuous.

Let us denote the codomain restriction of \(f'\) as \(f'' : S_1 \to f' (S_1)\).

\(f''\) is continuous, by the proposition that any restriction of any continuous map on the domain and the codomain is continuous.

As \(f''\) is bijective, there is the inverse, \(f''^{-1}: f' (S_1) \to S_1\). Is \(f''^{-1}\) continuous?

For any open subset, \(U \subseteq S_1\), is \({f''^{-1}}^{-1} (U) = f'' (U)\) open on \(f' (S_1)\)?

\(U = U' \cap S_1\) for an open subset, \(U' \subseteq T_1\). \(f'' (U) = f'' (U' \cap S_1) = f'' (U') \cap f'' (S_1)\), by the proposition that for any injective map, the map image of the intersection of any sets is the intersection of the map images of the sets, \(= f (U') \cap f'' (S_1) = U'' \cap f (T_1) \cap f'' (S_1)\) where \(U'' \subseteq T_2\) is an open subset, because \(f: T_1 \to f (T_1)\) is a homeomorphism (so, \(f (U')\) is open on \(f (T_1)\)), \(= U'' \cap f'' (S_1)\), which is open on \(f'' (S_1) = f' (S_1)\).

So, yes, \(f''^{-1}\) is continuous, and \(f''\) is a homeomorphism.


References


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528: For Infinite Product Topological Space and Closed Subset, Point on Product Space Whose Each Finite-Components-Projection Belongs to Corresponding Projection of Subset Belongs to Subset

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description/proof of that for infinite product topological space and closed subset, point on product space whose each finite-components-projection belongs to corresponding projection of subset belongs to 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 infinite product topological space and any closed subset, any point on the product space whose each finite-components-projection belongs to the corresponding projection of the subset belongs to the 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:
\(A\): \(\in \{\text{ the possibly uncountable infinite index sets }\}\)
\(\{T_\alpha \vert \alpha \in A\}\): \(T_\alpha \in \{\text{ the topological spaces }\}\)
\(T\): \(= \times_{\alpha \in A} T_\alpha\) with the product topology
\(C\): \(\subseteq T\), \(\in \{\text{ the closed subsets }\}\)
\(p\): \(\in T\)
//

Statements:
\(\forall J \subset A, J \in \{\text{ the finite index sets }\} (\pi_{J} (p) \in \pi_{J} (C))\), where \(\pi_{J}: T \to \times_{j \in J} T_j\) is the projection
\(\implies\)
\(p \in C\)
//


2: Natural Language Description


For any possibly uncountable infinite index set, \(A\), any topological spaces, \(\{T_\alpha \vert \alpha \in A\}\), the product topological space, \(T := \times_{\alpha \in A} T_\alpha\), any closed \(C \subseteq T\), and any \(p \in T\), \(\pi_{J} (p) \in \pi_{J} (C)\) for each \(J \subset A\), where \(J\) is a finite index set and \(\pi_{J}: T \to \times_{j \in J} T_j\) is the projection, implies that \(p \in C\).


3: Note 1


A typical case is \(T = T_1 \times T_2 \times ...\), a infinitely countable product, and \(\pi_{J} (p) \in \pi_{J} (C)\) where \(J = \{1, ..., k\}\) for each \(k\) implies \(p \in C\): the requirement for such \(J\)s implies the requirement for each \(J' \subseteq J\), so, implies the requirement for each finite \(J' \subseteq A\).


4: Proof


Let us suppose that \(\pi_{J} (p) \in \pi_{J} (C)\) for each \(J\).

\(T \setminus C \subseteq T\) is open.

Let us suppose that \(p \notin C\).

\(p \in T \setminus C\). There would be an open neighborhood, \(U_p \subseteq T \setminus C\), of \(p\). \(U_p = \cup_{\beta \in B} \times_{\alpha \in A} U_{\beta, \alpha}\), where \(B\) would be a possibly uncountable index set and \(U_{\beta, \alpha} \subseteq T_\alpha\) would be open while only finite number of \(U_{\beta, \alpha}\) s would not be \(T_\alpha\) s for each \(\beta\) (see Note of the definition of product topology).

There would be a \(\beta\) such that \(p \in \times_{\alpha \in A} U_{\beta, \alpha} \subseteq T \setminus C\). As only finite of \(U_{\beta, \alpha}\) s would not be \(T_\alpha\) s, let \(J\) be of the finite components. \(\pi_J (p) \in \pi_J (\times_{\alpha \in A} U_{\beta, \alpha}) = \times_{j \in J} U_{\beta, j}\). Then, there would be a \(p' \in C\) such that \(\pi_J (p') = \pi_J (p) \in \times_{j \in J} U_{\beta, j}\). But \(p' \in \times_{\alpha \in A} U_{\beta, \alpha}\), because \(U_{\beta, \alpha} = T_\alpha\) for each \(\alpha \notin J\) and so, \(p'^\alpha \in U_{\beta, \alpha}\) when \(\alpha \in J\) and when \(\alpha \in A \setminus J\).

So, \(p' \in \times_{\alpha \in A} U_{\beta, \alpha} \subseteq \cup_{\beta \in B} \times_{\alpha \in A} U_{\beta, \alpha} = U_p \subseteq T \setminus C\), which would mean \(p' \notin C\), a contradiction.

So, \(p \in C\).


5: Note 2


When \(C \subseteq T\) is not closed, \(p \in C\) is not necessarily implied as is proved in another article.


References


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527: For Infinite Product Topological Space and Subset, Point on Product Space Whose Each Finite-Components-Projection Belongs to Corresponding Projection of Subset Does Not Necessarily Belong to Subset

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description/proof of that for infinite product topological space and subset, point on product space whose each finite-components-projection belongs to corresponding projection of subset does not necessarily belong to 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 an infinite product topological space and a subset, a point on the product space whose each finite-components-projection belongs to the corresponding projection of the subset does not necessarily belong to the 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:
\(A\): \(\in \{\text{ the possibly uncountable infinite index sets }\}\)
\(\{T_\alpha \vert \alpha \in A\}\): \(T_\alpha \in \{\text{ the topological spaces }\}\)
\(T\): \(= \times_{\alpha \in A} T_\alpha\) with the product topology
\(S\): \(\subseteq T\)
\(p\): \(\in T\)
//

Statements:
\(\forall J \subset A, J \in \{\text{ the finite index sets }\} (\pi_{J} (p) \in \pi_{J} (S))\) does not necessarily imply \(p \in S\), where \(\pi_{J}: T \to \times_{j \in J} T_j\) is the projection.
//


2: Natural Language Description


For any possibly uncountable infinite index set, \(A\), any topological spaces, \(\{T_\alpha \vert \alpha \in A\}\), the product topological space, \(T := \times_{\alpha \in A} T_\alpha\), any \(S \subseteq T\), and any \(p \in T\), \(\pi_{J} (p) \in \pi_{J} (S)\) for each \(J \subset A\), where \(J\) is a finite index set and \(\pi_{J}: T \to \times_{j \in J} T_j\) is the projection, does not necessarily imply that \(p \in S\).


3: Note 1


A typical case is \(T = T_1 \times T_2 \times ...\), a infinitely countable product, and \(\pi_{J} (p) \in \pi_{J} (S)\) where \(J = \{1, ..., k\}\) for each \(k\) does not imply \(p \in S\).


4: Proof


A counterexample suffices.

Let each \(T_\alpha\) have at least 2 points, \(p_{\alpha, 1}, p_{\alpha, 2} \in T_\alpha\), let \(S = T \setminus \times_{\alpha \in A} \{p_{\alpha, 1}\}\), and let each \(\alpha\) component of \(p\) be \(p_{\alpha, 1}\).

\(p \in T\). \(\pi_{J} (p) \in \pi_{J} (S)\) for each \(J\), because \(S\) has at least 1 point, \(p'\), whose \(J\) components are \(p_{j, 1}\) s (\(j \in J\)) but whose \(\alpha\) component is \(p_{\alpha, 2}\) where \(\alpha \notin J\); \(p' \in S\), because \(p_{\alpha, 2} \notin \{p_{\alpha, 1}\}\).

But \(p \notin S\), because \(p \in \times_{\alpha \in A} \{p_{\alpha, 1}\}\).

Letting \(A\) be countable does not help. Let \(A = \{1, 2, ...\}\), let each \(T_j\) have at least 2 points, \(p_{j, 1}, p_{j, 2} \in T_j\), let \(S = T \setminus (\{p_{1, 1}\} \times \{p_{2, 1}\} \times ...)\), and let \(p\) be \((p_{1, 1}, p_{2, 1}, ...)\).

\(p \in T\). \(\pi_{J} (p) \in \pi_{J} (S))\) for each \(J\), because, for example, when \(J = \{2, 4\}\), \((p_{2, 2}, p_{2, 1}, p_{3, 1}, p_{4, 1}, ...), (p_{1, 1}, p_{2, 1}, p_{3, 2}, p_{4, 1}, ...), ... \in S\), while \(\pi_{J} (p) = \pi_{J} ((p_{2, 2}, p_{2, 1}, p_{3, 1}, p_{4, 1}, ...))) = (p_{2, 1}, p_{4, 1})\).

But \(p \notin S\), because \(p \in \{p_{1, 1}\} \times \{p_{2, 1}\} \times ...\).


5: Note 2


When \(S \subseteq T\) is closed, \(p \in S\) is implied as is proved in another article.


References


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