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Example 1.
Find the signature of 4 different quadratic forms defined on the tangent space at a point of a 4-dimensional manifold.
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First quadratic form.
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| (2.2) |
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| (2.3) |
We see that the quadratic form is positive-definite in all directions; it is a Riemannian metric.
Second quadratic form.
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| (2.4) |
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| (2.5) |
The quadratic form is positive-definite in the 3 directions [ and negative-definite in the 1 direction ; it is a Lorentzian metric.
Third quadratic form.
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| (2.6) |
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| (2.7) |
The quadratic form is positive-definite in the 2 directions [ and negative-definite in the 2 directions [- .
Fourth quadratic form.
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| (2.8) |
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| (2.9) |
The quadratic form is positive-definite in the 2 directions [ and negative-definite in the direction [ and degenerate in the direction [. Here are the dimensions of these spaces.
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Example 2.
We calculate the signature of the quadratic forms restricted to some subspaces.
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| (2.11) |
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| (2.12) |
Example 3.
Here we consider quadratic forms which depend upon a parameter.
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| (2.14) |
Without further information on a it is not possible to compute the signature, that changes depending on the sign of
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| (2.16) |
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| (2.17) |
For more complicated examples, use infolevel to trace the testing performed by the QuadraticFormSignature procedure to see exactly at what point in the algorithm the procedure returns .
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| (2.18) |
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Now set the infolevel to 2.
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| (2.20) |
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The null space of the metric is
Testing vector: D_x1
The norm of this vector is: a
Testing vector: D_x2
The norm of this vector is: -1
Testing vector: D_x1+D_x2
The norm of this vector is: a+1
Testing vector: D_x3
The norm of this vector is: 1
Testing vector: D_x1+D_x2
The norm of this vector is: a+1
Testing vector: D_x4
The norm of this vector is: 1
Testing vector: D_x1+D_x2
The norm of this vector is: a+1
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We see that the signature depends on the sign of
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| (2.22) |
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| (2.23) |
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| (2.24) |