What Are the Differences Between Riemannian and Lorentzian Spin Networks?

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In summary, the main difference between a Riemannian spin network and a Lorentzian spin network lies in the underlying manifold they are implemented on. While both aim to replace metric geometry, a Riemannian spin network is built on a Euclidean tangent space while a Lorentzian spin network is built on a Minkowskian tangent space. This means that a Riemannian spin network is used to describe connections on space, while a Lorentzian spin network is used to describe connections on spacetime. The gauge group also differs, with Riemannian spin networks using groups like SU(2) or SO(3) and Lorentzian spin networks using SO(1,3).
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Can someone tell me what's the difference between a Riemannian spin network and a Lorentzian spin network?
 
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It's the underlying manifold they are implemented on. Although spin networks look forward to replacing metric geometry, they must as yet be built on an underlying manifold. That manifold can be either Riemannian, with a Euclidean tangent space, or Lorentzian, with a Minkowskian tangent space. The spacetime of GR is Lorentzian.

Generally speaking a Lorentzian network is harder to work with because you have to deal with links in timelike directions. For this reason you will see basic work on networks being carried out in a spacelike slice - a three dimensional Riemannian manifold embedded in the higher dimensional Lorentzian one.
 
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Originally posted by meteor
Can someone tell me what's the difference between a Riemannian spin network and a Lorentzian spin network?

Usually Riemannian spin networks are used to describe connections defined on space, and Lorenztian spin networks are used to describe connections defined on spacetime. You could say that the difference is in the signature of the metric, e.g. +++ vs. -+++, but since the metric is not fundamental, what really matters is the gauge group. Spatial spin networks have gauge groups like SU(2) or SO(3), whereas spacetime spin networks have gauge groups like SO(1,3). (These connections do induce a fidicial flat Euclidean/Mikowskian metric to transform frames.) Lorentzian spin networks are harder to work with because, unlike SU(2) or SO(3), SO(1,3) is non-compact. So instead of sums over a discrete spectrum of representations, you end up with integrals over a continuous spectrum of representations.
 

What is the difference between Lorentzian and Riemannian geometry?

Lorentzian and Riemannian geometry are two different types of geometry used in physics and mathematics. The main difference between them lies in the signature of their metric tensors.

What is a metric tensor?

A metric tensor is a mathematical object that describes the distance and angle between points in a geometric space. It is used to define the geometry of a space and is an essential tool in both Lorentzian and Riemannian geometry.

What is the signature of a metric tensor?

The signature of a metric tensor is a set of numbers that determine the type of geometry that the tensor describes. In Lorentzian geometry, the signature is (+, -, -, -), while in Riemannian geometry, it is (+, +, +, +).

What are the applications of Lorentzian and Riemannian geometry?

Lorentzian geometry is primarily used in the study of general relativity and the geometry of spacetime, while Riemannian geometry is used in differential geometry and the study of curved surfaces and manifolds.

Can Lorentzian and Riemannian geometry be combined?

Yes, they can be combined to form semi-Riemannian geometry, which is used in the theory of semi-Riemannian manifolds. This type of geometry allows for both positive and negative values in the signature of the metric tensor.

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