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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 : i.e. : (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: : ==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
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