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Measure, Integration & Real Analysis, 2021a

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188 Chapter 6 Banach Spaces<br />

The next result provides the useful information<br />

that if a bounded linear map<br />

The Open Mapping Theorem was<br />

first proved by Banach and his<br />

from one Banach space to another Banach<br />

colleague Juliusz Schauder<br />

space has an algebraic inverse (meaning<br />

(1899–1943) in 1929–1930.<br />

that the linear map is injective and surjective),<br />

then the inverse mapping is automatically bounded.<br />

6.83 Bounded Inverse Theorem<br />

Suppose V and W are Banach spaces and T is a one-to-one bounded linear map<br />

from V onto W. Then T −1 is a bounded linear map from W onto V.<br />

Proof The verification that T −1 is a linear map from W to V is left to the reader.<br />

To prove that T −1 is bounded, suppose G is an open subset of V. Then<br />

(T −1 ) −1 (G) =T(G).<br />

By the Open Mapping Theorem (6.81), T(G) is an open subset of W. Thus the<br />

equation above shows that the inverse image under the function T −1 of every open<br />

set is open. By the equivalence of parts (a) and (c) of 6.11, this implies that T −1 is<br />

continuous. Thus T −1 is a bounded linear map (by 6.48).<br />

The result above shows that completeness for normed vector spaces sometimes<br />

plays a role analogous to compactness for metric spaces (think of the theorem stating<br />

that a continuous one-to-one function from a compact metric space onto another<br />

compact metric space has an inverse that is also continuous).<br />

Closed Graph Theorem<br />

Suppose V and W are normed vector spaces. Then V × W is a vector space with<br />

the natural operations of addition and scalar multiplication as defined in Exercise 10<br />

in Section 6B. There are several natural norms on V × W that make V × W into a<br />

normed vector space; the choice used in the next result seems to be the easiest. The<br />

proof of the next result is left to the reader as an exercise.<br />

6.84 product of Banach spaces<br />

Suppose V and W are Banach spaces. Then V × W is a Banach space if given<br />

the norm defined by<br />

‖( f , g)‖ = max{‖ f ‖, ‖g‖}<br />

for f ∈ V and g ∈ W. With this norm, a sequence ( f 1 , g 1 ), ( f 2 , g 2 ),... in<br />

V × W converges to ( f , g) if and only if lim f k = f and lim g k = g.<br />

k→∞ k→∞<br />

The next result gives a terrific way to show that a linear map between Banach<br />

spaces is bounded. The proof is remarkably clean because the hard work has been<br />

done in the proof of the Open Mapping Theorem (which was used to prove the<br />

Bounded Inverse Theorem).<br />

<strong>Measure</strong>, <strong>Integration</strong> & <strong>Real</strong> <strong>Analysis</strong>, by Sheldon Axler

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