Poor Symbol choice - Principles of Mathematical Analysis by Rudin

In summary, I feel that the choice of commonly used algebraic symbols is like a trap - encouraging us to subconsciously associate this definition of a field with rational numbers or real numbers. I would have liked it if instead of "-x", he had written say (x') and instead of "0", he had written θ and instead of "1", he had chosen something like "I". This way, it encourages us to think abstractly instead of using "numbers" as our subconscious base.
  • #1
bhagwad
28
1
I've just started working through Rudin's Principles of Mathematical analysis. In my opinion, the choice of symbols doesn't promote "rigour" and encourages us to make needless assumptions.

For example, when defining an ordered field, the fourth axiom for addition states:

To every x belonging to F, corresponds an element -x belonging to F such that x+(-x)=0

I feel that the usage of "-x" and "0" are misleading. We're not assuming that we're talking of numbers. While it's true that we can still pretend we're talking abstractly, the choice of commonly used algebraic symbols is like a trap - encouraging us to subconsciously associate this definition of a field with rational numbers or real numbers.

I would have liked it if instead of "-x", he had written say (x') and instead of "0", he had written θ and instead of "1", he had chosen something like "I". This way, it encourages us to think abstractly instead of using "numbers" as our subconscious base.

For example, I was trying to prove something using Rudin's notation and unconsciously made the mistake of substituting -x with (-1)x when it wasn't proved yet! I caught the error while reading through the proof the second time, but because I've been using this notation for the past 20 years, it came naturally.

If on the other hand instead of -x, it was x', I would never have made the leap of logic to assume that x' = (I')x. It's just not the same thing. Even symbols like ">" and "<" are misleading because it encourages us (once again) to think of numbers. While it's still possible to go through the proofs and texts abstractly, it just makes it more difficult. And I wonder why this is necessary.

My question is, do you think Rudin deliberately chose "number based" terminology in order to make us think about numbers, or was it a mistake on his part?
 
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  • #2
I would call it a tradition. You can use stars and other exotic typsetting symbols instead of . and + and I think texts on abstract algebra (only) tend to do it. But again analysis uses the fields of C and R, so that the authors are 'trapped' with + and .
 
  • #3
It doesn't assume numbers. Any time you have a commutative operation with an identity, you write that operation as + and the identity as 0, and inverses as -x. For example if you have matrices you write the 0 matrix even though that matrix isn't a number!. If you have functions you write the 0 function even though that function isn't a number.
 
  • #4
Office_Shredder said:
It doesn't assume numbers. Any time you have a commutative operation with an identity, you write that operation as + and the identity as 0, and inverses as -x. For example if you have matrices you write the 0 matrix even though that matrix isn't a number!. If you have functions you write the 0 function even though that function isn't a number.

Oh, I know it doesn't strictly assume numbers. I'm just saying that using number based notation adds an additional layer of confusion that I feel we can do without.
 
  • #5
Yes. That can be misleading at the beginning but is standard in textbooks. Some algebra textbooks adopt unusual symbols in the beginning, about elementary group theory, but return to the standard notation as soon as possible. On elementary ring theory the notation is the standard in most textbooks.
 

Related to Poor Symbol choice - Principles of Mathematical Analysis by Rudin

1.

What is a poor symbol choice in mathematical analysis?

A poor symbol choice in mathematical analysis refers to the use of symbols or notations that are ambiguous, misleading, or inconsistent. This can lead to confusion and errors in understanding and solving mathematical problems.

2.

Why is it important to choose symbols carefully in mathematical analysis?

In mathematical analysis, symbols are used to represent mathematical concepts and operations. Choosing symbols carefully ensures that they accurately convey the intended meaning and are consistent with established conventions. This is crucial for clear communication and accurate problem-solving.

3.

What are some common examples of poor symbol choice in mathematical analysis?

Some common examples of poor symbol choice in mathematical analysis include using the same symbol to represent different variables or concepts, using symbols that are easily confused with each other (e.g. l and 1), and using non-standard symbols or notations that are not widely recognized or accepted.

4.

How can poor symbol choice impact the validity of mathematical proofs?

Poor symbol choice can greatly impact the validity of mathematical proofs. If symbols are used incorrectly or inconsistently, it can lead to errors in reasoning and make the entire proof invalid. It can also make it difficult for readers to follow the logic of the proof, hindering their understanding and evaluation of its validity.

5.

What can be done to avoid poor symbol choice in mathematical analysis?

To avoid poor symbol choice in mathematical analysis, it is important to carefully consider the meaning and conventions associated with each symbol before using it. It can also be helpful to use a consistent notation throughout a problem or proof, and to clarify the meaning of symbols if they may be ambiguous. Consulting established mathematical texts and resources can also provide guidance on appropriate symbol use.

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