PlanetMath (more info)
 Math for the people, by the people.
Encyclopedia | Requests | Forums | Docs | Wiki | Random | RSS  
Login
create new user
name:
pass:
forget your password?
Main Menu
Owner confidence rating: Very high Entry average rating: No information on entry rating
hyperbolic plane in quadratic spaces (Definition)

A non-singular isotropic quadratic space $ \mathcal{H}$ of dimension 2 (over a field) is called a hyperbolic plane. In other words, $ \mathcal{H}$ is a 2-dimensional vector space over a field equipped with a quadratic form $ Q$ such that there exists a non-zero vector $ v$ with $ Q(v)=0$.

Examples. Fix the ground field to be $ \mathbb{R}$, and $ \mathbb{R}^2$ be the two-dimensional vector space over $ \mathbb{R}$ with the standard basis $ (0,1)$ and $ (1,0)$.

  1. Let $ Q_1(x,y)=xy$. Then $ Q_1(a,0)=Q_1(0,b)=0$ for all $ a,b\in\mathbb{R}$. $ (\mathbb{R}^2,Q_1)$ is a hyperbolic plane. When $ Q_1$ is written in matrix form, we have
    $ Q_1(x,y) = \begin{pmatrix}x & y\end{pmatrix}\begin{pmatrix} 0 & \frac{1}{2} \\... ...x}= \begin{pmatrix}x & y\end{pmatrix}M(Q_1) \begin{pmatrix}x \\ y\end{pmatrix}.$
  2. Let $ Q_2(r,s)=r^2-s^2$. Then $ Q_2(a,a)=0$ for all $ a\in\mathbb{R}$. $ (\mathbb{R}^2,Q_2)$ is a hyperbolic plane. As above, $ Q_2$ can be written in matrix form:
    $ Q_1(x,y) = \begin{pmatrix}x & y\end{pmatrix}\begin{pmatrix} 1 & 0 \ 0 & -1 \... ...x}= \begin{pmatrix}x & y\end{pmatrix}M(Q_2) \begin{pmatrix}x \\ y\end{pmatrix}.$

From the above examples, we see that the name “hyperbolic plane” comes from the fact that the associated quadratic form resembles the equation of a hyperbola in a two-dimensional Euclidean plane.

It's not hard to see that the two examples above are equivalent quadratic forms. To transform from the first form to the second, for instance, follow the linear substitutions $ x=r-s$ and $ y=r+s$, or in matrix form:

$ \begin{pmatrix} 1 & 1 \ -1 & 1 \end{pmatrix}M(Q_1) \begin{pmatrix} 1 & -1 \\... ...\ 1 & 1 \end{pmatrix}=\begin{pmatrix} 1 & 0 \ 0 & -1 \end{pmatrix}= M(Q_2).$

In fact, we have the following

Proposition. Any two hyperbolic planes over a field $ k$ of characteristic not 2 are isometric quadratic spaces.

Proof. From the first example above, we see that the quadratic space with the quadratic form $ xy$ is a hyperbolic plane. Conversely, if we can show that any hyperbolic plane $ \mathcal{H}$ is isometric the example (with the ground field switched from $ \mathbb{R}$ to $ k$), we are done.

Pick a non-zero vector $ u\in\mathcal{H}$ and suppose it is isotropic: $ Q(u)=0$. Pick another vector $ v\in\mathcal{H}$ so $ \lbrace u,v\rbrace$ forms a basis for $ \mathcal{H}$. Let $ B$ be the symmetric bilinear form associated with $ Q$. If $ B(u,v)=0$, then for any $ w\in\mathcal{H}$ with $ w=\alpha u+\beta v$, $ B(u,w)= \alpha B(u,u)+\beta B(u,v)=0$, contradicting the fact that $ \mathcal{H}$ is non-singular. So $ B(u,v)\neq 0$. By dividing $ v$ by $ B(u,v)$, we may assume that $ B(u,v)=1$.

Suppose $ \alpha=B(v,v)$. Then the matrix associated with the quadratic form $ Q$ corresponding to the basis $ \mathfrak{b}=\lbrace u,v\rbrace$ is

$ M_{\mathfrak{b}}(Q)= \begin{pmatrix} 0 & 1 \ 1 & \alpha \end{pmatrix}.$

If $ \alpha=0$ then we are done, since $ M_{\mathfrak{b}}(Q)$ is equivalent to $ M_{\mathfrak{b}}(Q_1)$ via the isometry $ T:\mathcal{H}\to\mathcal{H}$ given by

$ T= \begin{pmatrix} \frac{1}{2} & 0 \ 0 & 1 \end{pmatrix}$, so that $ T^t \begin{pmatrix} 0 & 1 \ 1 & 0 \end{pmatrix}T= \begin{pmatrix} 0 & \frac{1}{2} \ \frac{1}{2} & 0 \end{pmatrix}.$

If $ \alpha\neq 0$, then the trick is to replace $ v$ with an isotropic vector $ w$ so that the bottom right cell is also 0. Let $ w=-\frac{\alpha}{2}u+v$. It's easy to verify that $ Q(w)=0$. As a result, the isometry $ S$ required has the matrix form

$ S= \begin{pmatrix} 1 & -\frac{\alpha}{2} \ 0 & 1 \end{pmatrix}$, so that $ S^t \begin{pmatrix} 0 & 1 \ 1 & \alpha \end{pmatrix}S= \begin{pmatrix} 0 & 1 \ 1 & 0 \end{pmatrix}.$
$ \qedsymbol$

Thus we may speak of the hyperbolic plane over a field without any ambiguity, and we may identify the hyperbolic plane with either of the two quadratic forms $ xy$ or $ x^2-y^2$. Its notation, corresponding to the second of the forms, is $ \langle 1\rangle \bot\langle-1\rangle$, or simply $ \langle 1,-1\rangle$.

A hyperbolic space is a finite dimensional orthogonal direct sum of hyperbolic planes. It is always even dimensional and has the notation $ \langle 1,-1,1,-1,\ldots,1,-1\rangle$ or simply $ n\langle 1\rangle\bot n\langle -1\rangle$, where $ 2n$ is the dimensional of the hyperbolic space.

Remarks.



"hyperbolic plane in quadratic spaces" is owned by CWoo.
(view preamble | get metadata)

View style:

Also defines:  hyperbolic plane, hyperbolic space
Log in to rate this entry.
(view current ratings)

Cross-references: definitions, alternating form, terms, non-Euclidean geometry, differential geometry, signature, Euclidean, curvature, negative, theory, even, orthogonal direct sum, finite dimensional, cell, right, isotropic vector, isometry, equivalent, non-singular, symmetric bilinear form, basis, vector, isometric, quadratic space, isometric quadratic spaces, characteristic, proposition, Transform, equivalent quadratic forms, Euclidean plane, hyperbola, equation, matrix, standard basis, ground field, fix, non-zero vector, quadratic form, vector space, field, dimension, isotropic quadratic space
There are 3 references to this entry.

This is version 6 of hyperbolic plane in quadratic spaces, born on 2006-02-20, modified 2006-02-26.
Object id is 7640, canonical name is HyperbolicPlane.
Accessed 2649 times total.

Classification:
AMS MSC15A63 (Linear and multilinear algebra; matrix theory :: Quadratic and bilinear forms, inner products)
 11E88 (Number theory :: Forms and linear algebraic groups :: Quadratic spaces; Clifford algebras)

Pending Errata and Addenda
None.
[ View all 1 ]
Discussion
Style: Expand: Order:
forum policy

No messages.

Interact
post | correct | update request | add derivation | add example | add (any)