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有界线性算子与算子范数

巴拿赫空间之间的映射是线性且连续的。我们证明对线性映射而言连续性等同于有界性,构造算子范数,并看到算子空间本身又是巴拿赫空间。

连续即有界

设 X 与 Y 为赋范空间。线性映射 T: X -> Y 称为有界线性算子,若存在常数 C,使对一切 x 有 ||Tx|| ≤ C ||x||。这里“有界”不是指值域是有界集——而是指 T 把长度的拉伸不超过一个固定倍数。关键定理是:对线性映射而言,有界与连续等价条件。

Theorem. For a linear map T: X -> Y between normed spaces,
the following are equivalent:
   (a) T is continuous at every point;
   (b) T is continuous at 0;
   (c) T is bounded: ∃ C with ||Tx|| ≤ C ||x|| for all x.

(a) ⇒ (b): trivial, 0 is a point.

(b) ⇒ (c): Continuity at 0 with ε = 1 gives δ > 0 such that
    ||u|| ≤ δ  ⇒  ||Tu|| ≤ 1.
Take any x ≠ 0 and set u = δ x / ||x||, so ||u|| = δ. Then
    ||T u|| = (δ / ||x||) ||T x|| ≤ 1
  ⇒  ||T x|| ≤ (1/δ) ||x||.
So C = 1/δ works (x = 0 is trivial).

(c) ⇒ (a): For any x, a, linearity gives
    ||T x - T a|| = ||T(x - a)|| ≤ C ||x - a||.
Given ε > 0, choose δ = ε / C; then ||x - a|| < δ forces
    ||T x - T a|| < ε.
So T is (in fact Lipschitz, hence uniformly) continuous.  ∎
齐次性技巧 u = δx/||x|| 把原点处一个 ε 转化为全局界——这正是为什么一点连续就足够。

算子范数

最小的有效常数 C 就是算子范数:||T|| = sup{ ||Tx|| : ||x|| ≤ 1 }。等价地 ||T|| = sup_{x ≠ 0} ||Tx|| / ||x||。由构造对每个 x 有 ||Tx|| ≤ ||T|| ||x||,且 ||T|| 是最佳的这种常数。算子范数是有界算子集合 B(X, Y) 上真正的范数,且在复合下次可乘:||ST|| ≤ ||S|| ||T||。

Worked value. Let X = C[0,1] with sup norm, and define the
integration functional  T f = ∫_0^1 f(t) dt.

Upper bound:  |T f| = |∫_0^1 f| ≤ ∫_0^1 |f(t)| dt
                    ≤ ∫_0^1 ||f||_∞ dt = ||f||_∞.
So ||T|| ≤ 1.

Attained:  take f ≡ 1, then ||f||_∞ = 1 and T f = 1.
So ||T|| ≥ |T f| / ||f||_∞ = 1.

Therefore  ||T|| = 1.

Submultiplicativity, sanity check. If S, T are bounded and
   ||T x|| ≤ ||T|| ||x||,  ||S y|| ≤ ||S|| ||y||,  then
   ||S T x|| ≤ ||S|| ||T x|| ≤ ||S|| ||T|| ||x||,
so ||S T|| ≤ ||S|| ||T||.
确定算子范数要做两件事:对一切 x 给出上界,再举出一个几乎达到该界的 x。

一个加冕的事实:若目标 Y 是巴拿赫空间,则带算子范数的 B(X, Y) 本身也完备。特别地,对偶空间 X* = B(X, 标量) 永远是巴拿赫空间,即使 X 不是。我们将在第 4 篇回到这个对偶。