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Marcinkiewicz interpolation theorem : ウィキペディア英語版
Marcinkiewicz interpolation theorem
In mathematics, the Marcinkiewicz interpolation theorem, discovered by , is a result bounding the norms of non-linear operators acting on ''L''p spaces.
Marcinkiewicz' theorem is similar to the Riesz–Thorin theorem about linear operators, but also applies to non-linear operators.
==Preliminaries==
Let ''f'' be a measurable function with real or complex values, defined on a measure space (''X'', ''F'', ω). The distribution function of ''f'' is defined by
:\lambda_f(t) = \omega\left\.
Then ''f'' is called weak L^1 if there exists a constant ''C'' such that the distribution of ''f'' satisfies the following inequality for all ''t'' > 0:
:\lambda_f(t)\leq \frac.
The smallest constant ''C'' in the inequality above is called the weak L^1 norm and is usually denoted by ||''f''||1,''w'' or ||''f''||1,∞. Similarly the space is usually denoted by ''L''1,''w'' or ''L''1,∞.
(Note: This terminology is a bit misleading since the weak norm does not satisfy the triangle inequality as one can see by considering the sum of the functions on (0,1) given by 1/x and 1/(1-x) , which has norm 4 not 2.)
Any L^1 function belongs to ''L''1,''w'' and in addition one has the inequality
:\|f\|_\leq \|f\|_1.
This is nothing but Markov's inequality (aka Chebyshev's Inequality). The converse is not true. For example, the function 1/''x'' belongs to ''L''1,''w'' but not to ''L''1.
Similarly, one may define the weak L^p space as the space of all functions ''f'' such that |f|^p belong to ''L''1,''w'', and the weak L^p norm using
:\|f\|_=\|\,|f|^p \|_^.
More directly, the ''L''''p'',''w'' norm is defined as the best constant ''C'' in the inequality
:\lambda_f(t) \le \frac
for all ''t'' > 0.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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