In mathematical analysis, the Minkowski inequality establishes that the Lp spaces are normed vector spaces. Let S be a measure space, let 1 ≤ p ≤ ∞ and let f and g be elements of Lp(S). Then f + g is in Lp(S), and we have
If 1 < p < ∞, equality holds only if f = k g or g = k f with k ≥ 0.
The Minkowski inequality is the triangle inequality in Lp(S). Its proof uses Hölder's inequality.
Like Hölder's inequality, the Minkowski inequality can be specialized to sequences and vectors by using the counting measure:
for all real (or complex) numbers x1, ..., xn, y1, ..., yn and where n is the dimension of S.
We consider the -th power of and find
(expanding using the triangle equality)
(using Hölder's inequality)
(using that , since )
Now we divide the first and last expression in this sequence of inequalities by the second factor of latter. This gives us
and as , we finally arrive at
which completes the proof.
Minkowski-Ungleichung | Неравенство Минковского | Minkowski Eşitsizliği
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"Minkowski inequality".
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