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001 84-091109
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008 091109e20080902sz fot ||| 0|eng d
020 _a9783037195192
024 7 0 _a10.4171/019
_2doi
040 _ach0018173
072 7 _aPBKG
_2bicssc
084 _a46-xx
_a28-xx
_a42-xx
_2msc
100 1 _aTriebel, Hans,
_eauthor.
245 1 0 _aFunction Spaces and Wavelets on Domains
_h[electronic resource] /
_cHans Triebel
260 3 _aZuerich, Switzerland :
_bEuropean Mathematical Society Publishing House,
_c2008
264 1 _aZuerich, Switzerland :
_bEuropean Mathematical Society Publishing House,
_c2008
300 _a1 online resource (265 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aEMS Tracts in Mathematics (ETM)
_v7
506 1 _aRestricted to subscribers:
_uhttp://www.ems-ph.org/ebooks.php
520 _aWavelets have emerged as an important tool in analyzing functions containing discontinuities and sharp spikes. They were developed independently in the fields of mathematics, quantum physics, electrical engineering, and seismic geology. Interchanges between these fields during the last ten years have led to many new wavelet applications such as image compression, turbulence, human vision, radar, earthquake prediction, and pure mathematics applications such as solving partial differential equations. This book develops a theory of wavelet bases and wavelet frames for function spaces on various types of domains. Starting with the usual spaces on Euclidean spaces and their periodic counterparts, the exposition moves on to so-called thick domains (including Lipschitz domains and snowflake domains). Especially, wavelet expansions and extensions to corresponding spaces on Euclidean n-spaces are developed. Finally, spaces on smooth and cellular domains and related manifolds are treated. Although the presentation relies on the recent theory of function spaces, basic notation and classical results are repeated in order to make the text self-contained. The book is addressed to two types of readers: researchers in the theory of function spaces who are interested in wavelets as new effective building blocks for functions, and scientists who wish to use wavelet bases in classical function spaces for various applications. Adapted to the second type of readers, the preface contains a guide to where one finds basic definitions and key assertions.
650 0 7 _aFunctional analysis
_2bicssc
650 0 7 _aFunctional analysis
_2msc
650 0 7 _aMeasure and integration
_2msc
650 0 7 _aFourier analysis
_2msc
700 1 _aTriebel, Hans,
_eauthor.
856 4 0 _uhttps://doi.org/10.4171/019
856 4 2 _3cover image
_uhttp://www.ems-ph.org/img/books/triebel(Tracts7)_mini.jpg
942 _2EBK13757
_cEBK
999 _c50381
_d50381