Minkowski inequality Guide, Meaning , Facts, Information and Description

In mathematical analysis, the Minkowski inequality establishes that the L^p spaces are normed vector spaces. Let S be a measure space, let 1 ≤ p ≤ ∞ and let f and g be elements of L^p(S). Then f + g is in L^p(S), and we have

with equality only if f and g are linearly dependent.

The Minkowski inequality is the triangle inequality in L^p(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,...,x_n, y₁,...,y_n.

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