Is Every Asymmetric Relation Also Antisymmetric?

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In summary, in a tutorial on logic, it is stated that if a relation R is asymmetric, then it is also antisymmetric. However, one may attempt to argue that this statement is not true. For instance, in the example of the natural numbers, if 1 < x and x < 1, it would imply that 1 = x, leading to a contradiction. Therefore, it is impossible for both c < d and d < c to be satisfied, and consequently, c = d. This contradicts the definition of antisymmetric, which states that c < d and d < c implies c = d. Thus, the statement that R is antisymmetric if R is asymmetric may not always hold.
  • #1
icantadd
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I ran across the following statement, in a tutorial on logic,

If R is an asymmetric relation then R is antisymmetric.

Perhaps, the above is true. I will attempt to argue it is not. Okay, then suppose R really is asymmetric, for example the relation (<) So for an arbitrary (c,d) c < d then d >= c. From this we should get R is antisymmetric. It R is antisymmetric though, ( c < d and d < c then d = c )

Take for example the natural numbers, suppose 1. 1 < x and x < 1 means 1 = x. Which would mean that 1 is less than 1, and 1 is greater than 1, which poses contradiction because 1 is not less than 1.
 
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  • #2
c<d and d<c certainly does not imply c=d. It is impossible for c<d and d<c to be simultaneously satisfied.
 
  • #3
icantadd said:
I ran across the following statement, in a tutorial on logic,

If R is an asymmetric relation then R is antisymmetric.

Perhaps, the above is true. I will attempt to argue it is not. Okay, then suppose R really is asymmetric, for example the relation (<) So for an arbitrary (c,d) c < d then d >= c. From this we should get R is antisymmetric. It R is antisymmetric though, ( c < d and d < c then d = c )

Take for example the natural numbers, suppose 1. 1 < x and x < 1 means 1 = x. Which would mean that 1 is less than 1, and 1 is greater than 1, which poses contradiction because 1 is not less than 1.
The first thing you should do is state the definitions, as given in that tutorial, of "asymmetric" and "antisymmetric".
 

Related to Is Every Asymmetric Relation Also Antisymmetric?

1. What is the difference between asymmetry and antisymmetry?

Asymmetry and antisymmetry are two different concepts in mathematics. Asymmetry refers to a lack of symmetry, meaning that a shape or object cannot be divided into two equal parts. Antisymmetry, on the other hand, refers to a specific type of symmetry where one half of an object is the mirror image of the other half.

2. How can asymmetry and antisymmetry be observed in nature?

Asymmetry can be observed in natural objects such as leaves, rocks, and clouds. These objects do not have a line of symmetry and cannot be divided into two equal parts. Antisymmetry can also be observed in nature, such as in the human body, where the left and right sides are mirror images of each other.

3. What are some real-life applications of asymmetry and antisymmetry?

Asymmetry and antisymmetry have many applications in various fields. In biology, asymmetry is used to study abnormalities in organisms and their development. In physics, antisymmetry is used to describe the behavior of particles and their interactions. In art and design, both concepts are used to create visually interesting and balanced compositions.

4. Can asymmetry and antisymmetry coexist?

Yes, it is possible for asymmetry and antisymmetry to coexist in the same object. For example, a human face can have both asymmetrical features (e.g. one eye slightly larger than the other) and antisymmetrical features (e.g. the left and right sides of the face are mirror images of each other).

5. How are asymmetry and antisymmetry used in mathematics and science?

In mathematics, asymmetry and antisymmetry are used to describe and classify different types of symmetry. In science, these concepts are used to understand the structure and behavior of natural systems, such as molecules and crystals. They are also important in the study of symmetry breaking and pattern formation in complex systems.

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