General Relativity: Difference between revisions

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Einstein's [http://en.wikipedia.org/wiki/General_relativity General Relativity] is a theory of gravity which is based on the [http://en.wikipedia.org/wiki/Equivalence_principle Equivance Principle] that asserts that a uniform gravitational field (next to an infinite flat massive body) is indistinguishable from a uniform accelleration.  
Einstein's [http://en.wikipedia.org/wiki/General_relativity General Relativity] is a theory of gravity which is based on the [http://en.wikipedia.org/wiki/Equivalence_principle Equivance Principle] that asserts that a uniform gravitational field (next to an infinite flat massive body) is indistinguishable from a uniform accelleration.  
 
:<math>\nabla \cdot \mathbf{A} = - 4 \pi G\rho</math>
:<math>\nabla \cdot \mathbf{A} = - 4 \pi G\rho</math>



Latest revision as of 05:10, 9 May 2024

1 Introduction

Einstein's General Relativity is a theory of gravity which is based on the Equivance Principle that asserts that a uniform gravitational field (next to an infinite flat massive body) is indistinguishable from a uniform accelleration.

2 Coordinate Systems

We will use the Einstein Notation. Consider Cartesian space in , covered by Cartisian coordinates . Pythagorous can be used to give the squared differential displacement:

Now consider a general curvilinear coordinate system (CS) . Since the lines of the CS are neither parallel nor perpendicular, we form the same quantity:

In general the metric tensor is a function of position. The terms and describe the relative spread of the axes, while describes how the axes are not perpendicular.

A particular geometry is called Flat if it can be described by a Euclidian geometry. In general, curved manifolds (such as the surface of a sphere) require a more complex metric.

Example: Metric Tensor in Polar Coordinates

Consider polar coordinates in Euclidean space:

The differential distance is given by:

which shows the components of the metric tensor are:

Transformation

Now consider a general transformation between two general CS and , and a scalar field . The scalar field does not depend on the CS used, thus:

.

Now,

Contravariant vector transformation:

Covariant vector transformation:

Derivative of a Tensor

Scalar

Consider a scalar field . Clearly the value of the field at any point P is independent of the CS used to label P. If the field is constant on one CS, will be constant in any CS. Note that:

is a vector.

Vector

Now consider a constant vector field in flat space, in the Cartesian CS. The covariant components of are also constant - that is, the projections on the axes:

.

If the vector field is now labelled by a general curvilinear CS, we see that the components of the vectors now change over position, even if the vector is constant, because the CS is not "constant":

.

Moreover:

which states that vectors do not transform as tensors under a CS change.

Covariant Derivative

We would like to find a new definition of a derivative that maps a vector to a vector, and a tensor to a tensor. "Covariant" in this context means the quantity is independent of the CS chosen. Suppose there exists:

So:

Now compare with (expanding):

The first term is equal to , but we have a second term, which we denote by

Hence in gernal we need to differentiate in a way to cancel the second term to get back a tensor:

The Christoffel Symbols can be found from the metric tensor:

Parallel Transport and Curvature

Space is called "flat" (like Cartesian space) when it is possible to choose a CS such that the covariant derivavtive of the metric tensor is everywhere zero:

that is the metric tensor reduces to the delta function:

A space may be flat in some areas, but there may be curvature at other points. It is always possible to choose a CS such that at a given point, the derivavtive of the metric is zero - that is in, a small enough neighbourhood of any point of a continuous, differentiable space looks flat.

Consider a vector V moving from point A to B over a curve, whilst remaining parallel to itself. This is notion of parallel transport, and can be extended to general nonflat spaces. The covariant derivavtive:

If a vector is parallel transported such that the covariant derivative is always zero, the vector follows a geodesic; geodesics are in some sense the "straightest" lines that exist in the manifold. For example: all straight lines in flat 2D space are geodesics; on the surface of a sphere, all great circles are geodesics.

The geodesic condition is: