CongruenceProperties - Maple Help
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Tensor[CongruenceProperties] - calculate properties of a congruence of curves

Calling Sequences

     CongruenceProperties(, U)

     CongruenceProperties(, K, L)

     CongruenceProperties(, K)

     CongruenceProperties(, NT)

 

Parameters

     g     - a metric tensor

     U     - a unit vector

     K,L   - normalized null vectors, the vector defines an affinely parameterized, geodesic null congruence. 

     NT    - a list of 4 vectors, defining a null tetrad, the first vector in the tetrad defines the geodesic null congruence.

 

 

Description

Examples

Description

• 

The command CongruenceProperties returns a table of properties associated to a line congruence defined by a unit (time-like or space-like) vector field  or a null vector field .

• 

Let , set . The following scalar and tensor fields are calculated by the first calling sequence.

 - Acceleration:

 - Expansion: Θ =  .

 - Rotation Tensor : 1/2 (

 - Shear Tensor: 1/2 (

• 

The left-hand side of the Raychaudhuri equation valid when the congruence is geodesic (0), where is the Ricci tensor and is also calculated.

• 

The first calling sequence returns a table with indices "Acceleration", "Expansion", "RotationTensor", "ShearTensor", "Raychaudhuri".

• 

The remaining three calling sequences apply only to an affinely parameterized, geodesic null congruence , that is,  and

• 

The second calling sequence requires where Setand

 - Expansion: Θ =  .

 - Rotation Tensor:

 - Rotation Scalar:

 - Complex expansion: .

 - Shear Tensor:

The Raychaudhuri equation is as above but using these definitions ofand and with

• 

The second calling sequence returns a table with 8 indices "Expansion", "RotationNormSquared" "ShearNormSquared", "RotationTensor", "RotationScalar", "ShearTensor" , "ComplexExpansion" and "Raychaudhuri".

• 

The third calling sequence calculates: Expansion: Θ = Rotation norm squared = and Shear norm squared = The definitions are as in the second calling sequence but, as these scalars do not in fact depend upon the choice of L, only the vector K is needed as input. The third calling sequence returns a table with indices "Expansion", "RotationNormSquared", "ShearNormSquared" and "Raychaudhuri".

• 

Finally, from the 4th calling sequence we set and and calculate, in addition to the 8 quantities calculated for the second calling sequence , Newman-Penrose Spin Coefficients.

Examples

 

 

Example 1.

For our first example we use the standard metric on the sphere.

(2.1)

(2.2)

 

Define a unit vector field .

M > 

(2.3)

 

We see that the congruence is geodesic on the equator () but is accelerating elsewhere. It is shearing, rotating and non-expanding.

M > 

(2.4)

 

Example 2.

For the next example we consider a class of Robinson-Trautman metrics. These are of Petrov type II and admit a null congruence which is shear-free.

M > 

(2.5)
RT > 

(2.6)

 

Here is a null tetrad for this metric.

RT > 

(2.7)

 

The null congruence is very simple:

RT > 

(2.8)

 

First calling sequence:

RT > 

(2.9)

 

Third calling sequence:

RT > 

(2.10)

 

Fourth calling sequence

RT > 

(2.11)

 

Example 3.

Here is an example of a Newman-Tamburino metric of Petrov type I and which admits a null geodesic congruence with non-vanishing shear.

RT > 

(2.12)
M > 

(2.13)

 

Here is a null tetrad for this metric.

M > 

(2.14)

 

Again we consider the first leg of this tetrad.

M > 

(2.15)

 

First calling sequence:

RT > 

(2.16)

 

Third calling sequence:

RT > 

(2.17)

 

Fourth calling sequence:

RT > 

(2.18)
M > 

 

See Also

DifferentialGeometry

Tensor

AdaptedSpinorDyad

AdaptedNullTetrad

NPCurvatureScalars

NullVector

PetrovType

PrincipalNullDirections

 


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