I Multiplication and addition definition of congruence classes

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The discussion centers on the definitions of addition and multiplication for congruence classes, which some participants view as arbitrary or a misuse of notation. The definitions are justified as they simplify solving modular equations and are standard in mathematics. The operations are derived from integer arithmetic, ensuring that adding or multiplying representatives of equivalence classes yields results consistent within those classes. Notational overloading is acknowledged, where the same symbol represents different operations based on context. Overall, these definitions are essential for applications in number theory, finite fields, and cryptography.
Leo Liu
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The definitions of them seem like arbitrary choices or an abuse of notation. I wonder what the reasons behind the definitions are. Thanks.

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PS. My instructor said such defs simplify the process of solving modular equations.
 
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It's quite standard. It just means, for example if you consider ##\mathbf{Z}_4##, that\begin{align*}
[3] + [2] &= [5] \\
&= [1]
\end{align*}et cetera.
 
Leo Liu said:
The definitions of them seem like arbitrary choices or an abuse of notation. I wonder what the reasons behind the definitions are. Thanks.

View attachment 292853
PS. My instructor said such defs simply the process of solving modular equations.
You can view this from various perspectives. The shortest notation is, that ##\pi\, : \,\mathbb{Z}\longrightarrow \mathbb{Z}/m\mathbb{Z}## is a homomorphism of rings. This requires ##\mathbb{Z}/m\mathbb{Z}## to be a ring, i.e. that we multiply and add the remainders by division with ##m## in such a way, that adding and multiplication commutes with taking the remainders. The numbers ##\{0,1,\ldots,m-1\}## build representatives of the equivalence classes achieved by taking the remainder by division with ##m##.

More prosaic, we could say that taking the remainders is important in number theory, where we often distinguish primes which have the remainder ##1## by division with ##4## and those with remainder ##3##.

Another important example is when ##m## itself is prime. Then those calculation rules define a finite number field, i.e. we can even divide by the equivalence classes ##[a]\neq [0].## In case ##m=2## we get thus the basic rules for computers, or less complicated: the light switch in your room. Finite fields in general (##m## prime) play an important role in cryptography, i.e. the science of codes.

If ##m## is not prime, say ##m=p\cdot q## then we cannot divide, i.e. we have still a ring but no field. This is because ##[p]\cdot [q]=[0]## although ##[p],[q]\neq [0].## An example for such a case is the analogous clock. The clock has ##m=12## for the big hand, and ##m=60## for the small hand.
 
Leo Liu said:
The definitions of them seem like arbitrary choices or an abuse of notation. I wonder what the reasons behind the definitions are. Thanks.

View attachment 292853
PS. My instructor said such defs simply the process of solving modular equations.
One is defining addition ("+") for congruence classes based on the pre-existing definition of addition ("+") for class members.

There is a bit of abuse of notation going on here. The same graphical symbol ("+") is used for both operations. This sort of notation abuse is sometimes called "overloading". We "overload" an operator with two possible meanings. Then we disambiguate between the meaning based on context. If one sees the "+" operator applied to two congruence classes, one knows that the class meaning is appropriate and the result will be a congruence class. If one sees the "+" operator applied to two class members, one knows that the member meaning is appropriate and the result will be a class member.

One can find this particular notational pattern used in some programming languages. For instance, in the Ada programming language, one can overload or even redefine infix operators such as "+" and "-".

Let us read through [a] + = [a+b] and try to express it in words:

"If we take the congruence class containing a and "add" it to the congruence class containing b, the result is defined to be the congruence class containing a+b"

One should normally take a few moments to verify that this definition actually works as a definition.

What if, instead of "a", we took a different exemplar, say "x", of the left hand congruence class.
What if, instead of "b", we took a different exemplar, say "y" of the right hand congruence class.
Would the sum of those two exemplars have been a member of the same congruence class.

In other words, if [a] = [x] and = [y] does it follow that [a+b] = [x+y]?

If so, the definition can work.
If not, the definition is broken.
 
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jbriggs444 said:
There is a bit of abuse of notation going on here. The same graphical symbol ("+") is used for both operations.
It's also used for adding vectors, and matrices, and polynomials, ... and generally everything that looks like an addition in a set.

The addition and multiplication defined in the first post are derived from addition and multiplication in the integers. If we add an integer in the equivalence class [a] and an integer in the equivalence class [b] we get an integer in the equivalence class [a+b], so it makes sense to define an operation within the set of equivalence classes as well. Same for multiplication.

Edit: Fixed formatting
 
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ergospherical said:
It's quite standard. It just means, for example if you consider ##\mathbf{Z}_4##, that\begin{align*}
[3] + [2] &= [5] \\
&= [1]
\end{align*}et cetera.
Hey, I didn't know you were still alive!
Thanks for the answer.
 
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Thread 'Erroneously  finding discrepancy in transpose rule'
Obviously, there is something elementary I am missing here. To form the transpose of a matrix, one exchanges rows and columns, so the transpose of a scalar, considered as (or isomorphic to) a one-entry matrix, should stay the same, including if the scalar is a complex number. On the other hand, in the isomorphism between the complex plane and the real plane, a complex number a+bi corresponds to a matrix in the real plane; taking the transpose we get which then corresponds to a-bi...

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