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关于Rudin《泛函分析》定理4.1中Banach空间有界线性算子范数的疑问

Understanding the Boundedness Criterion in Rudin's Theorem 4.1

Hey there, let's break this down step by step to clear up that confusion! First, let's ground ourselves in the definitions and how they connect to the proof of $|T| < \infty$ for $T \in B(X,Y)$.

First: What "Bounded Subset" Means in a Normed Space

In any normed space (like $X$ or $Y$ here), a subset $S$ is bounded if and only if there exists some positive real number $M$ such that $|s| \leq M$ for every $s \in S$.

The phrase "a subset is bounded iff it's contained in some multiple of the unit ball" is just a rephrasing of this definition:

  • The unit ball of a space is $B(0,1) = {z \mid |z| \leq 1}$.
  • A "multiple of the unit ball" is $M \cdot B(0,1) = {M \cdot z \mid z \in B(0,1)}$, which is exactly the set ${y \mid |y| \leq M}$.
  • So saying $S \subseteq M \cdot B(0,1)$ is the same as saying every element of $S$ has norm at most $M$—which is exactly the definition of $S$ being bounded.

Connecting This to the Operator Norm Proof

Now, let's tie this to Rudin's proof for $|T| < \infty$:

  1. We're looking at the set $S = { Tx \mid x \in X, |x| \leq 1 }$—this is the image of $X$'s unit ball under $T$, and it's a subset of $Y$.
  2. By definition, $T \in B(X,Y)$ means $T$ is a bounded linear operator: there exists some $M \geq 0$ such that for every $x \in X$, $|Tx| \leq M|x|$.
  3. Take any $Tx \in S$: since $|x| \leq 1$, we have $|Tx| \leq M|x| \leq M \cdot 1 = M$.
  4. This means every element of $S$ has norm at most $M$, so $S \subseteq M \cdot B_Y(0,1)$ (the $M$-multiple of $Y$'s unit ball).
  5. Using the boundedness criterion we just clarified, $S$ is a bounded subset of $Y$. The supremum of a bounded set of real numbers (in this case, the set ${|Tx| \mid Tx \in S}$) is always finite—so $|T| = \sup S < \infty$.

A Quick Note on Operator "Boundedness" vs. Set Boundedness

One common point of confusion: the term "bounded" for linear operators doesn't mean the operator itself is bounded (which doesn't make sense, since we can scale $x$ to make $Tx$ as large as we want). Instead, it means the operator maps bounded subsets of $X$ to bounded subsets of $Y$—which is exactly what we used here: $T$ maps $X$'s bounded unit ball to $Y$'s bounded subset $S$.

内容的提问来源于stack exchange,提问作者theQman

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