Instead of doing geometry, we were doing linear algebra. Let us now generalize this linear algebra before doing any geometry. This means looking at V⊕V∗.
Notice that we have not added an arbitrary vector space to V, we have added its dual space V∗ and we cannot dismiss this. How do we keep track of this fact in a nice way? By defining a (canonical) pairing.
This is a good moment to introduce some conventions. We will normally use the capital letters X,Y for elements of V, and the greek letters ξ,η (xi and eta) for elements of V∗. For the elements of V⊕V∗ we will use v,w. Thus, v=X+ξ,w=Y+η are the usual elements of V⊕V∗.
And finally the pairing ⟨,⟩:
⟨X+ξ,Y+η⟩=12(iXη+iYξ).
Note that ⟨X+ξ,X+ξ⟩=iXξ.
This pairing has signature (n,n). Given bases {e1,…,en} and {e1,…,en} of V and V∗, the matrix of the pairing is written as
(012Id12Id0)
for the basis {e1,…,en,e1,…,en} of V⊕V∗, or as
(Id00−Id) for the basis {e1+e1,…,en+en,e1−e1,…,en−en}, from where we clearly see the signature.
Note that the pairing between any two elements of V, or any two elements of V^* is zero. This is what we call being isotropic.
Definition: A vector subspace L of a metric vector space (W,⟨,⟩) is said to be isotropic if ⟨x,y⟩=0 for all x,y∈L.
Notice that we have not added an arbitrary vector space to V, we have added its dual space V∗ and we cannot dismiss this. How do we keep track of this fact in a nice way? By defining a (canonical) pairing.
This is a good moment to introduce some conventions. We will normally use the capital letters X,Y for elements of V, and the greek letters ξ,η (xi and eta) for elements of V∗. For the elements of V⊕V∗ we will use v,w. Thus, v=X+ξ,w=Y+η are the usual elements of V⊕V∗.
And finally the pairing ⟨,⟩:
⟨X+ξ,Y+η⟩=12(iXη+iYξ).
Note that ⟨X+ξ,X+ξ⟩=iXξ.
This pairing has signature (n,n). Given bases {e1,…,en} and {e1,…,en} of V and V∗, the matrix of the pairing is written as
(012Id12Id0)
for the basis {e1,…,en,e1,…,en} of V⊕V∗, or as
(Id00−Id) for the basis {e1+e1,…,en+en,e1−e1,…,en−en}, from where we clearly see the signature.
Note that the pairing between any two elements of V, or any two elements of V^* is zero. This is what we call being isotropic.
Definition: A vector subspace L of a metric vector space (W,⟨,⟩) is said to be isotropic if ⟨x,y⟩=0 for all x,y∈L.
Hello Roberto. There is a typo in the definition of isotropic subspace above.
ReplyDeleteFixed. Thank you!
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