Example 1.15

Assume that image is a semi-order set as shown in Fig. 1.5. Let image. From Example 1.14, we have that image is a topology on [X] corresponding to R, i.e., image and image have the same neighborhood system on [X]. Based on the mergence method, we have a revised partition image. The example shows that undoubtedly by the mergence method, an incompatible equivalence relation can be transformed into a compatible and the finest one. But in some cases, the revised grain-size is too coarse. In the example, image only has one equivalence class, this is an extreme case. This is not our expectation.
In order to overcome the shortage of the mergence method, the space [X] may be refined such that the revised equivalence relation image is compatible. Of course, such image exists, since X itself has already satisfied the compatible requirement, but it is too fine. So the point is to find the coarsest one among all refined spaces, i.e., the refinement method has minimality. This is the decomposition method that we will discuss below.

1.6.2. Decomposition Methods

In the following discussion, we assume that image is a finite semi-order set, its topology is a right-order topology of T. image is a projection, where [X] is a quotient space.

Definition 1.25

image is a (pseudo) semi-order set. For image, let
image {image there exist image}.
image is called a (pseudo) semi-order closure of A on X.

Definition 1.26

image is a semi-order set. For image and image, we define image {image, if image and image, then image}. image is called a boundary point of A with respect to B, simply denoted as image.
Assume that image is a quotient space of image, R is its corresponding equivalence relation. From Section 1.5, we have image right-order topology image quotient topology image. image is called a pseudo semi-order on image. When R is compatible, image is a semi-order. If image on image under the topology image, where image, then it is denoted as image.

Definition 1.27

R is an equivalence relation on image and its corresponding quotient space is [X]. For image, if image, then a and b are pseudo-equivalent and denoted by image.

Definition 1.28

If [X] is a quotient spare corresponding to R, for image letting image, image is called a pseudo-equivalence class corresponding to a.

Lemma 1.4

If A is a pseudo-equivalence class on [X], then image, or simply C(A) if it does not cause any confusion.

Proof:

Otherwise, image. From image and the definition of C(A), we can see that image such that image. Since image and image are pseudo-equivalent image image. We have image, then, image and image are pseudo-equivalent, i.e., image. This is in contradiction to image.

Lemma 1.5

image is a semi-order set. image is a quotient set of X. For image, there exists a minimal open set image containing a. image is a topology on image. Set image can be constructed as follows.
Let image, where image on image is a minimal open set containing x. image is a right-order topology of T.
Let image, image is a projection.
Generally, we define image.
Since image is finite, there exists a minimal integer n such that image.
Let image. Set image is just a minimal open set on image containing a.

Proof:

First, we show that image is an open set.

image

Since image, have image. Thus, image.
Since image is an open set, image is open.
Assuming that image is an arbitrary open set containing a, then image.
By induction, assume that image.
From the continuity of p, image.
image is an open set image image image image.
From induction, we have image. Therefore image is a minimal open set containing a.

Lemma 1.6

R is an equivalence relation in semi-order space image. Let image image, there exist image such that image.

Proof:

Letting image be a minimal open set containing a, since image, have image.
From Lemma 1.5, we have image.
Assuming that image, we have image, i.e., image.
Since image, have image.
Moreover, image such that image.
By induction, for image, have image, image and image, image = 1, 2,…,image.
Namely, image.
We will prove Proposition 1.10 by using Lemma 1.6 below.

Proposition 1.10

Assume that image, then image, where image is a pseudo semi-order on quotient space image.

Proof:

Assume that image, image, have image.
Letting image be a natural projection, from the order-preserving ability of p, have image image image image image.
Conversely, assume image. From Lemma 1.6, image, such that image image image. From the definition of ‘image’, we have image.

Decomposition Method

When R and T are not compatible, we will show below how to decompose R such that the decomposed R′ is compatible with T.
image is a semi-order space and [X] is a quotient space. Let image.
(1) If image, then stop and A is what we want. Otherwise, go to (2).
(2) For image, let image. If image, letting image and image, then image and image, go to (1). Otherwise, go to (3).
(3) Decomposing a, have image. Let image.
(3.1) If image, we have the decomposition image. Letting image, then
image and image, go to (1).
(3.2) If image, letting image and image, then image and image, go to (3).
Finally, we have a space denoted as image. Its corresponding equivalence relation is image. image is what we want. image is called a normed decomposition space of [X]. We will prove below that image is compatible with X and has minimality.
Before the proof of the above basic property, we will show some properties of semi-order closures.

Definition 1.29

image is a semi-order space. For image, if image, A is called semi-order closed on image, or semi-order closed for short.
The properties of image are as follows.

Property 1.2

image is a semi-order space. For image, image is semi-order closed.

Proof:

Assuming image , there exist image and image, i.e., image. We have image. Thus, image is semi-order closed.

Property 1.3

image is a semi-order space. Assuming image, then image is semi-order closed.

Proof:

Assuming image, have image. image and image, have image. From image, have image. And from the definition of boundary points, have image, i.e., image is semi-order closed.

Property 1.4

If A is semi-order closed with respect to X, then image.

Proof:

Obviously, image.
Assuming image, there exists image . Since A is semi-order closed, image and image. From the definition of image, have image.

Proposition 1.11

image is a semi-order space. For image, a is a semi-order closed. Letting its quotient space be image, then image is also a semi-order space, where image is a quotient structure (topology) corresponding to image.

Proof:

Assume image. If image, have image on image. If image, from Lemma 1.5, have image. From a is semi-order closed, have image. This is a contradiction.
If image, from Lemma 1.5, have image. Thus, image and image. This is a contradiction.
We have that image is a semi-order space.

Theorem 1.7

image is a semi-order set. image is a quotient space. image is a normed decomposition of image. Then image is a semi-order space, where image is a quotient structure corresponding to image.

Proof:

image is the decomposed partition of image.
Let image. From Property 1.3, each image is semi-order closed on image. From Proposition 1.10, we have that image is a semi-order space. Letting image , have image. Namely, quotient space image is a semi-order one.

Lemma 1.7

image is a quotient space of semi-order set image. Let image . Assume that image is its normed decomposition space. Then when image , we have image.

Proof:

First, we prove that image, image and image such that image. From the definition of image ,image there must exist image, but image. Otherwise, from the definition of image, image. This is a contradiction. And from image, we have image and image. Then, image. Otherwise, image. This is in contradiction with image. From the definition of quotient structures, we have image.
Similarly, for image, we have image.

Theorem 1.8

R is an equivalence relation on semi-order set image. image is a quotient space. Let image be an equivalence relation corresponding to the normed decomposition space of image. We have
(1) image and image are compatible.
(2) image has minimality, i.e., for image, if image and image are compatible, then image.

Proof:

From the procedure of the normed decomposition and Theorem 1.7, image is compatible. Now, we prove that image is the minimum.
Assume that image and image are compatible. If image, obviously, for image, image and image belong to the same equivalence class on image but are not equivalent on image. Since image and image are equivalent on image and image, then image and image are also equivalent on R.
Assume that image denoted image, where image and image, image , are obtained from the normed decomposition of a. From Lemma 1.7, there exists image. Now we regard image as a quotient space of X. Let image.
From the compatibility of image, we have p(x)<p(y)<p(z). Thus, image and image belong to the same equivalence class of image denoted by b. Then, image.
Since image, where image is the complement set of a, this contradicts with image.
Thus, image, this is in contradiction with the assumption that image and image are not equivalent in image.
Finally, image.

Example 1.11

A semi-order set X as shown in Fig. 1.6. Let image. Since R is not compatible, decompose R as follows.
For image, since image, we have image. Let image.
For image, since image, we have image. Let image.
For image, since image, we have image. Then image is decomposed into image and image.
We have image. image is a semi-order space. Its corresponding equivalence relation image is the decomposed one of R and compatible.
The decomposition procedure is shown in Fig. 1.6.
Now, we have the necessary and sufficient condition for the compatible equivalence relation R as follows.
image
Figure 1.6 The Decomposition of Granularity

Theorem 1.9

R is an equivalence relation corresponding to semi-order set image. image is its corresponding quotient space. image is a (pseudo) semi-order closure of a on image. Then, R and T are compatible image image.

Proof:

Obviously, if image is a quotient space of Y, then image, image.
image: Assume image. Decompose [X] according to the following order image. Obviously, if it is image′s turn for decomposition, assuming that image is the decomposed space and image is a quotient set of image, then image. And image, then image, i.e., image needs not be decomposed. R is compatible.
image: If R is compatible, then image, we leave the decomposition of image to the end. From the compatibility of R, image needs not be decomposed. Therefore, image. Since image needs not be decomposed as well, then image.

1.6.3. The Existence and Uniqueness of Quotient Semi-Order

Assume that image is a semi-order space. From the previous discussion, we have the following results.
1. If equivalence relation R and semi-order structure T on X are compatible, we offer a method that induces a quotient semi-order of [X] such that its projection has the order-preserving ability.
2. If equivalence relation R and semi-order structure T on X are incompatible, we show there are modification methods such that the modified R is compatible.
(1) By mergence method, we have an equivalence relation image and satisfies
(a) image, (b) image is compatible, and (c) image is the maximum (finest).
(2) By decomposition method, we have an equivalence relation image and satisfies
(a) image, (b) image is compatible, and (c) image is the minimum.
Therefore, under the maximal (minimal) sense, the modification above is unique.
The idea of the construction of quotient semi-order that we offered is the following.
First, a right-order topology image is induced from T. From image, a quotient topology image on image is induced. Finally, from image, a quotient (pseudo) semi-order on [X] is induced. Now, the point is whether there exists another method for inducing quotient semi-order. If the method exists, the induced quotient semi-order is as the former, i.e., the uniqueness of quotient semi-order. Moreover, when R and T are incompatible, we show that the method above cannot induce quotient semi-order on [X]. Then, whether there is another method that can induce quotient semi-order on [X] such that its projection is order-preserving. That is, the existence of quotient semi-order.
The following two propositions answer the above uniqueness and existence problems.

Proposition 1.12

R is an equivalence relation on semi-order set image. R and T are compatible. Let [T] be the quotient semi-order obtained from the above method. image is any quotient semi-order that has the order-preserving projection image, then image.

Proof:

Assuming image, then image. From Lemma 1.5, we have

image

Let image. From the assumption that p is order-preserving, have image and image.
Thus, image, i.e., there exists image on image image.

Proposition 1.13

If R and T are incompatible, there is no quotient semi-order such that image is order-preserving.

Proof:

Assume that R and T are incompatible and there exists a quotient semi-order on [X] that has the order-preserving ability. Since the incompatibility of R and T, image, image does not hold. From image, image satisfy image and image.
From the order-preserving ability of image, we have image and image. Thus, image.
Since image is semi-order, image. This is in contradiction with that image does not hold.

1.6.4. The Geometrical Interpretation of Mergence and Decomposition Methods

The structure of a finite semi-order space may be represented by a directed acyclic graph geometrically. For a semi-order space image, when the quotient structure [T] of its quotient space image is represented by a directed graph, if there is no directed loop in the graph, then the corresponding structure is semi-order; otherwise, it is not semi-order. There are two methods to ‘remove’ the loops on the graph. One is to merge all notes on a loop into a new note and carry on until the graph becomes an acyclic one. Then the quotient structure obtained is a semi-order structure. This is the mergence method. The other one is to choose an arbitrary note on a loop and cut the loop open from the note, carry on until the graph becomes an acyclic one. This is just the idea of decomposition. Due to the different cutting sequences, the acyclic graph obtained may be different. So the semi-order structure obtained by the decomposition method is not unique. We can prove the structure is local minimum but not a global one.
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