Can the Set R(G) be Proven as a Ring in Convolution on Groups?

In summary: Therefore, ##(f * g)(a)## is nonzero for only finitely many ##a \in G##, meaning that ##f * g \in R(G)##.In summary, we have shown that the convolution operation ##*## is well defined on ##R(G)##, and that it is closed under the multiplication operation in the ring ##R##. Therefore, ##R(G)## is a ring.
  • #1
Bipolarity
776
2
Let ##G## be a group and let ##R## be the set of reals.
Consider the set ## R(G) = \{ f : G \rightarrow R \, | f(a) \neq 0 ## for finitely many ## a \in G \} ##.
For ## f, g \in R(G) ##, define ## (f+g)(a) = f(a) + g(a) ## and ## (f * g)(a) = \sum_{b \in G} f(b)g(b^{-1}a) ##.

Prove that ## R(G) ## is a ring.
I'm not even sure if this is true, so I'm posting it here. I proved everything except closure under product, which is giving me some trouble. To show closure under product, I'd need to show

## \sum_{b \in G} f(b)g(b^{-1}a) \neq 0 ## is true for finitely many ## a \in G ##. But is this even true??

Thanks!

BiP
 
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  • #2
First, let's check that the sum defining the convolution is well defined. Since ##G## is presumably infinite (otherwise the problem is not very interesting), and ##f,g## are not constrained to be nonnegative, the sum ##\sum_{b \in G}## is not well defined unless only finitely many of the terms are nonzero.

We're given that ##f(b)## is nonzero for only finitely many ##b \in G##. Also, for a fixed value of ##a##, we are also given that ##g(b^{-1}a)## is nonzero for only finitely many ##b \in G##.

Therefore, for fixed ##a##, the product ##f(b)g(b^{-1}a)## is nonzero for only finitely many ##b \in G##. So the sum ##\sum_{b \in G}f(b)g(b^{-1}a)## makes sense for every ##a \in G##, and the convolution is well defined.

Let's define ##N(f) = \{x \in G \mid f(x) \neq 0\}## and ##N(g) = \{x \in G \mid g(x) \neq 0\}##. Both sets are finite since ##f,g \in R(G)##.

Now, for a given ##a \in G##, if ##(f * g)(a) = \sum_{b \in G}f(b)g(b^{-1}a)## is nonzero, then there must be at least one ##b \in G## such that both ##f(b)## and ##g(b^{-1}a)## are nonzero. So ##b \in N(f)## and ##b^{-1}a \in N(g)##. The condition ##b^{-1}a \in N(g)## is equivalent to ##a \in bN(g)##.

The two conditions ##b\in N(f)## and ##a \in bN(g)## together imply that ##a \in N(f)N(g)##, and the latter is a finite set.
 

FAQ: Can the Set R(G) be Proven as a Ring in Convolution on Groups?

What is convolution on groups?

Convolution on groups is a mathematical operation that combines two functions to produce a third function. It is commonly used in the study of groups, which are mathematical structures that represent symmetries and transformations.

How is convolution on groups different from convolution on real numbers?

The main difference is that convolution on groups is defined on a group structure, which means that the operation is not commutative (order matters) and has an inverse element for each element. In contrast, convolution on real numbers is commutative and does not have an inverse element.

What are the applications of convolution on groups?

Convolution on groups has various applications in mathematics, physics, and engineering. It is used to study symmetry and group representation theory, signal processing, and quantum mechanics, to name a few.

What is the formula for convolution on groups?

The formula for convolution on groups is (f * g)(x) = ∫G f(y)g(y-1x) dy, where f and g are functions on the group G and * denotes convolution.

Can convolution on groups be extended to other structures?

Yes, convolution can be extended to other algebraic structures such as rings, fields, and vector spaces. In each case, the operation may have different properties and interpretations, but the basic idea of combining two functions to produce a third function remains the same.

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