Not understanding the isomorphism R x R = C

In summary, the conversation discusses the isomorphism between ##\mathbb R\times\mathbb R## and ##\mathbb C##, and how it only preserves the vector space structure, but not the multiplication structure. This is because the multiplication in ##\mathbb R\times\mathbb R## is different from the multiplication in ##\mathbb C##, which makes it a field. The conversation also clarifies the difference between bijective maps and isomorphisms, with the specific map mentioned being a linear vector space isomorphism, but not a ring isomorphism.
  • #1
metapuff
53
6
Now ℝxℝ≅ℂ, seen by the map that sends (a,b) to a + bi. ℂ is a field, so the product of any two non-zero elements is non-zero. However, this doesn't seem to hold in ℝxℝ, since (1,0) * (0,1) = (0,0) even though (1,0) and (0,1) are non-zero. What am I missing?

Also, the zero ideal is maximal in ℂ, since ℂ is a field. But in ℝxℝ, we have two maximal ideals: ℝx{0} and {0}xℝ. Surely the isomorphism between ℝxℝ and ℂ ought to preserve the ideal structure?
 
Physics news on Phys.org
  • #2
Isomorphism between ##\mathbb R\times\mathbb R## and ##\mathbb C## is an isomorphism between real vector spaces, i.e. it agrees only with addition and multiplication by real numbers. But is does not agree with the multiplication: the "natural" coordinatewise multiplication in ##\mathbb R\times\mathbb R## does not make it a filed, it only gives you a ring. The multiplication in ##\mathbb C## is quite different, and it makes ##\mathbb C## a field.
 
  • #3
Ah yeah, you're right. There's no square root of -1 in ℝxℝ anyway, so it's no surprise that multiplication doesn't carry over. I'd always imagined isomorphisms as carrying over all structure, including invertibility. Thanks for clearing this up!
 
  • #4
metapuff said:
I'd always imagined isomorphisms as carrying over all structure, including invertibility.
Isomorphisms do, but not all bijective maps are isomorphisms. The specific map you mentioned is linear. That makes it a vector space isomorphism, if we view ##\mathbb C## as a vector space over ##\mathbb R##, but it's not a ring isomorphism (and therefore not a field isomorphism) unless you have chosen the product operation on ##\mathbb R\times\mathbb R## to be something like the one defined by ##(a,b)(c,d)=(ac-bd,ad+bc)##.
 

Related to Not understanding the isomorphism R x R = C

1. What does the isomorphism R x R = C mean?

The isomorphism R x R = C refers to the mathematical relationship between the Cartesian product of the set of real numbers (R) with itself and the set of complex numbers (C). This means that there is a bijective mapping between the two sets, where each element in R x R has a unique corresponding element in C and vice versa.

2. Why is it important to understand this isomorphism?

Understanding this isomorphism is important because it allows us to manipulate complex numbers using familiar concepts and operations from real numbers. This makes it easier to solve complex mathematical problems and makes the study of complex analysis and other branches of mathematics more efficient.

3. How is this isomorphism related to the geometric interpretation of complex numbers?

The isomorphism R x R = C is related to the geometric interpretation of complex numbers through the Argand plane. The Argand plane is a visual representation of the complex numbers, where the real axis corresponds to the set of real numbers (R) and the imaginary axis corresponds to the set of imaginary numbers (iR). This plane also shows the isomorphism between the Cartesian coordinates (x, y) and the complex numbers (a + bi).

4. Can you provide an example of how to use this isomorphism in a mathematical problem?

One example of using this isomorphism is in solving polynomial equations with complex roots. By applying the isomorphism R x R = C, we can rewrite the polynomial equation in terms of complex numbers and use familiar techniques from real analysis to find the complex roots.

5. Are there any other isomorphisms involving complex numbers?

Yes, there are other isomorphisms involving complex numbers, such as the isomorphism between the complex numbers and the set of 2x2 matrices with real entries. This isomorphism is useful in linear algebra and the study of transformations in complex analysis.

Similar threads

  • Linear and Abstract Algebra
Replies
13
Views
1K
  • Linear and Abstract Algebra
Replies
1
Views
1K
  • Linear and Abstract Algebra
2
Replies
55
Views
4K
  • Linear and Abstract Algebra
Replies
14
Views
2K
  • Linear and Abstract Algebra
Replies
6
Views
2K
  • Linear and Abstract Algebra
Replies
3
Views
1K
  • Linear and Abstract Algebra
Replies
2
Views
4K
  • Linear and Abstract Algebra
Replies
17
Views
4K
Replies
2
Views
2K
Replies
7
Views
2K
Back
Top