LEADER 03524nam 2200757 a 450 001 9910823360403321 005 20240313125421.0 010 $a3-11-029851-1 024 7 $a10.1515/9783110298512 035 $a(CKB)3390000000032633 035 $a(EBL)1113319 035 $a(SSID)ssj0000916760 035 $a(PQKBManifestationID)11471070 035 $a(PQKBTitleCode)TC0000916760 035 $a(PQKBWorkID)10878113 035 $a(PQKB)10608175 035 $a(MiAaPQ)EBC1113319 035 $a(DE-B1597)179026 035 $a(OCoLC)851970512 035 $a(OCoLC)853258376 035 $a(DE-B1597)9783110298512 035 $a(Au-PeEL)EBL1113319 035 $a(CaPaEBR)ebr10728955 035 $a(CaONFJC)MIL503372 035 $a(EXLCZ)993390000000032633 100 $a20130624d2013 uy 0 101 0 $aeng 135 $aurcn#nnn||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDistribution theory $econvolution, Fourier transform, and Laplace transform /$fGerrit van Dijk 205 $a1st ed. 210 $aBerlin $cDe Gruyter$d2013 215 $a1 online resource (viii, 105 pages) $cillustrations 225 0 $aDe Gruyter Textbook 225 0$aDe Gruyter graduate lectures 300 $aDescription based upon print version of record. 311 $a3-11-029591-1 320 $aIncludes bibliographical references and index. 327 $tFront matter --$tPreface --$tContents --$t1 Introduction --$t2 Definition and First Properties of Distributions --$t3 Differentiating Distributions --$t4 Multiplication and Convergence of Distributions --$t5 Distributions with Compact Support --$t6 Convolution of Distributions --$t7 The Fourier Transform --$t8 The Laplace Transform --$t9 Summable Distributions --$t10 Appendix --$t11 Hints to the Exercises --$tReferences --$tIndex --$tBackmatter 330 $aThe theory of distributions has numerous applications and is extensively used in mathematics, physics and engineering. There is however relatively little elementary expository literature on distribution theory. This book is intended as an introduction. Starting with the elementary theory of distributions, it proceeds to convolution products of distributions, Fourier and Laplace transforms, tempered distributions, summable distributions and applications. The theory is illustrated by several examples, mostly beginning with the case of the real line and then followed by examples in higher dimensions. This is a justified and practical approach, it helps the reader to become familiar with the subject. A moderate number of exercises are added. 410 0$aDe Gruyter graduate lectures. 606 $aTheory of distributions (Functional analysis) 606 $aConvolutions (Mathematics) 606 $aFourier transformations 606 $aLaplace transformation 610 $aDistribution Theory. 610 $aFourier Transform. 610 $aHeat Equation. 610 $aLaplace Transform. 610 $aTempered Distribution. 615 0$aTheory of distributions (Functional analysis) 615 0$aConvolutions (Mathematics) 615 0$aFourier transformations. 615 0$aLaplace transformation. 676 $a515.782 686 $aSK 600$2rvk 700 $aDijk$b Gerrit van$f1939-$01636321 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910823360403321 996 $aDistribution theory$93977537 997 $aUNINA