Computing periodic conformal mappings
32 mins 9 secs,
180.72 MB,
WebM
640x360,
30.0 fps,
44100 Hz,
767.48 kbits/sec
Share this media item:
Embed this media item:
Embed this media item:
About this item
Description: |
Baddoo, P
Friday 13th December 2019 - 15:00 to 15:30 |
---|
Created: | 2019-12-16 12:54 |
---|---|
Collection: | Complex analysis: techniques, applications and computations |
Publisher: | Isaac Newton Institute |
Copyright: | Baddoo, P |
Language: | eng (English) |
Distribution: | World (downloadable) |
Explicit content: | No |
Aspect Ratio: | 16:9 |
Screencast: | No |
Bumper: | UCS Default |
Trailer: | UCS Default |
Abstract: | Conformal mappings are used to model a range of phenomena in the physical sciences. Although the Riemann mapping theorem guarantees the existence of a mapping between two conformally equivalent domains, actually constructing these mappings is extremely challenging. Moreover, even when the mapping is known in principle, an efficient representation is not always available. Accordingly, we present techniques for rapidly computing the conformal mapping from a multiply connected canonical circular domain to a periodic array of polygons. The boundary correspondence function is found by solving the parameter problem for a new periodic Schwarz--Christoffel formula. We then represent the mapping using rational function approximation. To this end, we present a periodic analogue of the adaptive Antoulas--Anderson (AAA) algorithm to obtain the relevant support points and weights. The procedure is extremely fast; evaluating the mappings typically takes around 10 microseconds. Finally, we leverage the new algorithms to solve problems in fluid mechanics in periodic domains. |
---|
Available Formats
Format | Quality | Bitrate | Size | |||
---|---|---|---|---|---|---|
MPEG-4 Video | 640x360 | 1.93 Mbits/sec | 467.51 MB | View | Download | |
WebM * | 640x360 | 767.48 kbits/sec | 180.72 MB | View | Download | |
iPod Video | 480x270 | 521.89 kbits/sec | 122.89 MB | View | Download | |
MP3 | 44100 Hz | 249.77 kbits/sec | 58.82 MB | Listen | Download | |
Auto | (Allows browser to choose a format it supports) |