01897nam a22003138i 4500001001600000003000700016008004100023020001800064020001800082035002000100041000800120082001600128100002700144245007300171264007100244300003800315336002600353337002600379338003600405500001300441520086100454650002001315650002801335700002201363856005501385932003201440596000601472949010501478CR9780511662478UkCbUP091215s1973||||enk o ||1 0|eng|d a9780511662478 a9780521098045 a(Sirsi) a791453 aeng00a515/.422191 aTaylor, S. J.,eauthor10aIntroduction to measure and integrationh[E-Book] /cby S.J. Taylor. 1aCambridge :bCambridge University Press,c1973e(CUP)fCUP20200108 a1 online resource (vi, 266 pages) atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier aenglisch aThis paperback, which comprises the first part of Introduction to Measure and Probability by J. F. C. Kingman and S. J. Taylor, gives a self-contained treatment of the theory of finite measures in general spaces at the undergraduate level. It sets the material out in a form which not only provides an introduction for intending specialists in measure theory but also meets the needs of students of probability. The theory of measure and integration is presented for general spaces, with Lebesgue measure and the Lebesgue integral considered as important examples whose special properties are obtained. The introduction to functional analysis which follows covers the material to probability theory and also the basic theory of L2-spaces, important in modern physics. A large number of examples is included; these form an essential part of the development. 0aMeasure theory. 0aIntegrals, Generalized.1 aKingman, J. F. C.40uhttps://doi.org/10.1017/CBO9780511662478zVolltext aCambridgeCore (Order 30059) a1 aXX(791453.1)wAUTOc1i791453-1001lELECTRONICmZBrNsYtE-BOOKu8/1/2020xUNKNOWNzUNKNOWN1ONLINE