Einstein Tensor Module

This module contains the class for obtaining Einstein Tensor related to a Metric belonging to any arbitrary space-time symbolically:

class einsteinpy.symbolic.einstein.EinsteinTensor(arr, syms, config='ll', parent_metric=None, name='EinsteinTensor')[source]

Bases: einsteinpy.symbolic.tensor.BaseRelativityTensor

Class for defining Einstein Tensor

Constructor and Initializer

Parameters
  • arr (ImmutableDenseNDimArray or list) – Sympy Array or multi-dimensional list containing Sympy Expressions

  • syms (tuple or list) – Tuple of crucial symbols denoting time-axis, 1st, 2nd, and 3rd axis (t,x1,x2,x3)

  • config (str) – Configuration of contravariant and covariant indices in tensor. ‘u’ for upper and ‘l’ for lower indices. Defaults to ‘ll’.

  • parent_metric (MetricTensor or None) – Corresponding Metric for the Einstein Tensor. Defaults to None.

  • name (str) – Name of the Tensor. Defaults to “EinsteinTensor”.

Raises
  • TypeError – Raised when arr is not a list or sympy Array

  • TypeError – syms is not a list or tuple

  • ValueError – config has more or less than 2 indices

change_config(newconfig='ul', metric=None)[source]

Changes the index configuration(contravariant/covariant)

Parameters
  • newconfig (str) – Specify the new configuration. Defaults to ‘ul’

  • metric (MetricTensor or None) – Parent metric tensor for changing indices. Already assumes the value of the metric tensor from which it was initialized if passed with None. Compulsory if somehow does not have a parent metric. Defaults to None.

Returns

New tensor with new configuration. Defaults to ‘ul’

Return type

EinsteinTensor

Raises

Exception – Raised when a parent metric could not be found.

lorentz_transform(transformation_matrix)[source]

Performs a Lorentz transform on the tensor.

Parameters

transformation_matrix (ImmutableDenseNDimArray or list) – Sympy Array or multi-dimensional list containing Sympy Expressions

Returns

lorentz transformed tensor

Return type

EinsteinTensor