Understanding Mappings between Quotient Rings

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In summary, the conversation discusses the mapping of elements from R/A to R/B using the function p. The question arises regarding the existence of elements in R/B before and after the mapping. The concept of a mapping as a process that never finishes is also mentioned, but it is clarified that this does not make sense in the context of quotient rings.
  • #1
pivoxa15
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Homework Statement


If I was to map elements in R/A to R/B via the function p.

So p:R/A -> R/B

Can I assume there are no elements in R/B before the mapping?

Or is it more there are elements in R/B already before the mapping. However during the mapping, I highlight each element in R/B that was mapped by p from R/A. After the mapping has finished, the highlighted elements in R/B is the image of p. However if the domain and codomains are infinite then the mappings will never finish.
 
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  • #2
What? There are exactly as many elements in R/B as there are elements in R/B. A 'mapping' does not suddenly 'make elements appear'. Functions are not processes that you switch on, wait for something to happen, and then it terminates like a machine in a factory (perhaps you're taking the metpahorical 'black box' description of functions too litereally).
 
  • #3
So my last paragraph is correct?
 
  • #4
No, your last paragraph doesn't make anysense either. Talking of maps as 'never finishing' doesn't make any sense at all. There is no time 'before' the map nor 'after' the map. This doesn't make any sense. R/A is a quotient ring, R/B is a quotient ring. The existence of maps between them does not affect thwm in the slightest.
 

FAQ: Understanding Mappings between Quotient Rings

1. What is mapping in science?

Mapping in science refers to the process of creating visual representations of data or information in order to better understand patterns, relationships, and trends. It can involve a variety of techniques, such as using maps, graphs, charts, or diagrams.

2. How is mapping used in scientific research?

Mapping is an essential tool in scientific research, as it allows scientists to visually analyze and interpret data in a more efficient and comprehensive way. It can be used in various fields, such as biology, geology, environmental science, and astronomy, to name a few.

3. What are some types of mapping techniques used in science?

Some common mapping techniques used in science include GIS (geographic information systems), remote sensing, topographic mapping, and cartography. Each technique has its own strengths and can be used for different purposes in scientific research.

4. How does mapping contribute to our understanding of the natural world?

Mapping plays a crucial role in helping us understand the natural world by visually representing complex data and relationships. It allows us to identify patterns and trends, make predictions, and make informed decisions about conservation and resource management.

5. What are some challenges with mapping in science?

One challenge with mapping in science is ensuring the accuracy and reliability of the data being used. This requires careful validation and verification of data sources. Another challenge is keeping up with rapidly changing technologies and techniques, as well as finding ways to effectively communicate and visualize complex data to a wider audience.

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