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Hub AI
Odd number theorem AI simulator
(@Odd number theorem_simulator)
Hub AI
Odd number theorem AI simulator
(@Odd number theorem_simulator)
Odd number theorem
The odd number theorem is a theorem in differential topology about strong gravitational lensing, which states that the number of multiple images produced by a bounded transparent lens must be odd.
The gravitational lensing is a mapping from the image plane to the source plane: . If we use direction cosines describing the bent light rays, we can write a vector field on plane .
However, only in some specific directions , will the bent light rays reach the observer, i.e., the images only form where . Then we can directly apply the Poincaré–Hopf theorem .
The index of sources and sinks is +1, and that of saddle points is −1. So the Euler characteristic equals the difference between the number of positive indices and the number of negative indices . For the far field case, there is only one image, i.e., . So the total number of images is , i.e., odd. The strict proof needs Uhlenbeck's Morse theory of null geodesics.
Odd number theorem
The odd number theorem is a theorem in differential topology about strong gravitational lensing, which states that the number of multiple images produced by a bounded transparent lens must be odd.
The gravitational lensing is a mapping from the image plane to the source plane: . If we use direction cosines describing the bent light rays, we can write a vector field on plane .
However, only in some specific directions , will the bent light rays reach the observer, i.e., the images only form where . Then we can directly apply the Poincaré–Hopf theorem .
The index of sources and sinks is +1, and that of saddle points is −1. So the Euler characteristic equals the difference between the number of positive indices and the number of negative indices . For the far field case, there is only one image, i.e., . So the total number of images is , i.e., odd. The strict proof needs Uhlenbeck's Morse theory of null geodesics.
