Understanding Z2 Graded Vector Spaces: Definition and Examples

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Discussion Overview

The discussion centers around the concept of ##Z_2## graded vector spaces, including their definitions, properties, and examples. Participants explore the implications of grading in vector spaces, particularly in relation to direct sums and the role of multiplication in graded algebras.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant seeks clarification on whether ##R^2=R \oplus R## and ##R^3=R^2 \oplus R## qualify as ##Z_2## graded vector spaces, questioning the significance of the order of the summands.
  • Another participant notes that a graded vector space is essentially a direct sum of vector spaces, with the summands labeled as homogeneous of a certain degree, but suggests that this concept gains importance when considering algebras with multiplication.
  • Concerns are raised about the necessity of defining parity reversed spaces, with some participants expressing confusion over why this is relevant if direct sums are commutative.
  • There is a discussion on the distinction between a vector space with a countable basis and a graded vector space, with one participant suggesting that any vector space with a countable basis could be considered a graded vector space.
  • Another participant emphasizes that grading is primarily relevant in the context of multiplication, indicating that without such operations, the distinction may not hold significant value.

Areas of Agreement / Disagreement

Participants express varying degrees of understanding and confusion regarding the implications of grading in vector spaces. There is no consensus on the necessity or utility of certain aspects of graded vector spaces, particularly in relation to multiplication and the concept of parity reversal.

Contextual Notes

Participants highlight that the significance of grading may depend on the presence of multiplication in vector spaces, suggesting that the discussion is limited to contexts where such operations are defined.

Silviu
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Hello! I just started reading about ##Z_2## graded vector spaces (and graded vector spaces in general) and I want to make sure I understand from the beginning. So the definition, as I understand it, is that a graded vector space can be decomposed into subspaces of degree 0 and 1. So ##V=V_1 \oplus V_2##. I am confused about this, does this mean that ##R^2=R \oplus R## is a ##Z_2## graded vector space? And ##R^3=R^2 \oplus R##, too? And in the case of ##R^3##, does it matter the order of ##R## and ##R^2##? I see that one can define the parity reversed spaced, in which ##V_1## and ##V_2## are interchanged, so I guess it makes a difference, but I am confused why, as I thought that the direct sum is commutative. Can someone please explain this to me, in not advanced terms as I really know nothing about graded vector spaces, yet (I would really appreciate a clear example, too, in case what I said above is wrong).
 
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Silviu said:
Hello! I just started reading about ##Z_2## graded vector spaces (and graded vector spaces in general) and I want to make sure I understand from the beginning. So the definition, as I understand it, is that a graded vector space can be decomposed into subspaces of degree 0 and 1. So ##V=V_1 \oplus V_2##. I am confused about this, does this mean that ##R^2=R \oplus R## is a ##Z_2## graded vector space? And ##R^3=R^2 \oplus R##, too? And in the case of ##R^3##, does it matter the order of ##R## and ##R^2##? I see that one can define the parity reversed spaced, in which ##V_1## and ##V_2## are interchanged, so I guess it makes a difference, but I am confused why, as I thought that the direct sum is commutative. Can someone please explain this to me, in not advanced terms as I really know nothing about graded vector spaces, yet (I would really appreciate a clear example, too, in case what I said above is wrong).
A graded vector space is just a direct sum of vector spaces, any. The direct summands being called homogenous of a certain degree. So there is not much gain in this concept. Things become different if we consider algebras, i.e. vector spaces with a multiplication. In this case it is interesting how multiplication of homogenous elements behave: in case ##V^i \cdot V^j \subseteq V^k## and ##i +j = k ## is according to the group structure of ##\mathbb{Z}_2##, we speak of a ##\mathbb{Z}_2-##graded algebra.

The Graßmann- and tensor algebras over a vector space are an example of a ##\mathbb{Z}## grading, the super algebras in string theory are an example of ##\mathbb{Z}_2-##graded (Lie) algebras.

Wikipedia has a good overview with links to certain examples: https://en.wikipedia.org/wiki/Graded_(mathematics)
 
fresh_42 said:
A graded vector space is just a direct sum of vector spaces, any. The direct summands being called homogenous of a certain degree. So there is not much gain in this concept. Things become different if we consider algebras, i.e. vector spaces with a multiplication. In this case it is interesting how multiplication of homogenous elements behave: in case ##V^i \cdot V^j \subseteq V^k## and ##i +j = k ## is according to the group structure of ##\mathbb{Z}_2##, we speak of a ##\mathbb{Z}_2-##graded algebra.

The Graßmann- and tensor algebras over a vector space are an example of a ##\mathbb{Z}## grading, the super algebras in string theory are an example of ##\mathbb{Z}_2-##graded (Lie) algebras.

Wikipedia has a good overview with links to certain examples: https://en.wikipedia.org/wiki/Graded_(mathematics)
Thank you for this! I looked at the article on Wikipedia. My main question is, i guess, as far as I understand any vector space with a countable basis seems to be a graded vector space. So, what is the difference between a vector space with a countable basis and a graded vector space? Also, about the part with defining the parity reversed spaced for ##Z_2## graded vector space, I am not sure I understand why you need that, as the direct sum is commutative. Is it just convenient from a notation point of view (when you define grade reversing transformation for example) or is there anything deeper to it?
 
Silviu said:
Thank you for this! I looked at the article on Wikipedia. My main question is, i guess, as far as I understand any vector space with a countable basis seems to be a graded vector space. So, what is the difference between a vector space with a countable basis and a graded vector space?
Any decomposition into a direct sum is technically a grading. The question is whether you want to have one of the many, that are possible, be labeled as grading, i.e. what you're going to achieve. As said, usually there is a multiplication involved.
Also, about the part with defining the parity reversed spaced for ##Z_2## graded vector space, I am not sure I understand why you need that, as the direct sum is commutative.
Same as before. As long as you only consider addition, there won't by any gains from the grading. The moment you start multiplying, commutativity isn't any longer guaranteed.
Is it just convenient from a notation point of view (when you define grade reversing transformation for example) or is there anything deeper to it?
Grading is always about the multiplication structure, not the addition. At least I cannot think of any useful application of a graded vector space. At least a sort of operation on it should be necessary in my opinion.
 

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