This 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.
"synopsis" may belong to another edition of this title.
This 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.
"About this title" may belong to another edition of this title.
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Trade Paperback. Condition: VG-. used trade paperback edition. lightly shelfworn, corners a bit bumped, some scuffing/wear to covers. previous owner's embossed stamp on half title. binding is straight and tight with no marks to text or other serious flaws. Seller Inventory # 1287465
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Softcover. Condition: Gut. Cambridge UP (1966). gr.8°. VI, 266 p. Pbck. (slightly browned, slightly bumped).- With exercises. Seller Inventory # 52744
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