An introduction to functional analysis by Charles Swartz

By Charles Swartz

In line with an introductory, graduate-level path given by means of Swartz at New Mexico kingdom U., this textbook, written for college kids with a reasonable wisdom of element set topology and integration idea, explains the rules and theories of practical research and their functions, exhibiting the interpla

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It is actually the case that IIfpII = IJI (S) = IIµII Let c > 0. , n) n of S such that I µ(Ej) I +e. I µ I (S) < Define tp : S -i (R by j=1 n (p = I sign µ(E )CE . Then II T11 = 1 and j=l n Ilull - E j=1 fµ defines a linear isometry from ba(s) Hence, IIfp1I = IIµII Thus, U into B(S, Z)'. We show U is onto. Let f E B(S, E)'. For E E E define µ(E) = .

E. are 1111°,, and if functions which are equal identified, then L°°(p) is a B-space ([Ro], p. 125). In Examples 21, 22 and 23, when I = [a, b] we write LP(I) for Lp(m), where m is Lebesgue measure on I. Example 24. Let a, b E (R, a < b, and let b [a, b] be the space of all b Riemann integrable functions defined on [a, b]. IIf II If I J a semi-norm on ,5E [a, b] which is not complete ([M], p. 242). defines a 24 Quasi-normed and Normed Linear Spaces Example 25. Let D c C be an open, connected set, and let J(D) be the (Kn) space of all analytic functions f : D -' C.

K=1 I x I+ I y I. If q(0) = 0, then 101 =0; if q(x) = q(-x) for all x, then I x I = I -x I . m n Proof: Let e > 0, x, y E X. Pick x = k=1 n k=1 M. q(xk) < I x I +E and k=1 yk such that xk, y = q(yk) < I y I +e. Then k=1 31 32 Metrizable TVS m n xk+ I yk x+y= k=1 k=1 and m n Ix + y j < q(xk) + q(yk) < I x I + j y I + 2e k=1 k=1 so Ix + yI <_ 1xI + jyj. If q(0) = 0, then I x = 0. n n If q(x) = q(-x) and x = n - xk and k=1 k=1 n q(xk) = k=1 so I xk, then -x = q(-xk) k=1 lxI = I-XI. Lemma 2. Let X be a vector space and q a non-negative function of X such that q(0) = 0 and q(x +- y + z) 5 2 max (q(x), q(y), q(z) } .

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