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Interpolation inequality : ウィキペディア英語版
Interpolation inequality
In the field of mathematical analysis, an interpolation inequality is an inequality of the form
:
\| u_ \|_ \leq C \| u_ \|_^ \|_^ \|_^^} | u(x) |^ \, \mathrm x \leq 2 \int_} | u(x) |^ \, \mathrm x \int_} | \nabla u(x) |^ \, \mathrm x,

i.e.
:
\| u \|_ \, \| u \|_ \, \| \nabla u \|_.

(Since Ladyzhenskaya's inequality considers compactly supported functions ''u'', Friedrichs' inequality implies that the ''L''2 norm of ∇''u'' is equivalent to the ''H''1 Sobolev norm of ''u'', and so Ladyzhenskaya's inequality really does only treat a single function ''u'', not distinct functions ''u''0 = ''u''1 = ''u'' and ''u''2 = ∇''u''.)
Another simple example of an interpolation inequality — one in which the ''u''''k'' and the norms ‖·‖''k'' are different — is Young's inequality for the convolution of two functions ''f'', ''g'': ℝ''d'' → ℝ:
:\|f \star g\|_} \|g\|_+\frac=1+\frac.
==Examples of interpolation inequalities==

* Agmon's inequality
* Gagliardo–Nirenberg interpolation inequality
* Ladyzhenskaya's inequality
* Landau–Kolmogorov inequality
* Marcinkiewicz interpolation theorem
* Nash's inequality
* Riesz–Thorin theorem
* Young's inequality for convolutions

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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