T1: 3. Metrics Flashcards

1
Q

Define a metric

A

A symmetric, invertible (non-degenerate), type [0,2] vector field g_μν.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What does symmetric mean to a metric?

A

g_μν = g_vμ

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

How many independent components does a (4d) metric have?

A

10

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What does invertible (non-degenerate) mean to a metric?

A

The determinant of the metric g_μν(x^a) as an nxn matrix is not zero; there are distinct eigenvalues.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is the signature of a metric?

A

The pattern of positive and negative eigenvalues of a metric.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

How does the metric define the inner product on the space of vectors?

A

(V,W) ≡ g(V,W) = g_μν V^μ W^ν

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

How does the metric (inverse) relate vectors and covectors (vice versa)

A

The metric is a map between vectors and covectors; the action of a metric on a vector returns a covector.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Generally, how does the metric act on tensors?

A

The metric is a lowering operator which takes the tensor [r,s] and returns [r-1, s+1] (s, or the number of covector/lower indices increases).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Generally, how does the inverse metric act on tensors?

A

The metric is a raising operator which takes the tensor [r,s] and returns [r+1, s-1] (r, or the number of vector/upper indices increases).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly