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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

\|f+g\|_p \le \|f\|_p + \|g\|_p

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:

\left( \sum_{k=1}^n |x_k + y_k|^p \right)^{1/p} \le \left( \sum_{k=1}^n |x_k|^p \right)^{1/p} + \left( \sum_{k=1}^n |y_k|^p \right)^{1/p}

for all real (or complex) numbers x1, ..., xn, y1, ..., yn and where n is the dimension of S.

Proof of Integral form


We consider the p-th power of \|f+g\|_p and find

\left(\int_{a}^{b}|f(x)+g(x)|^{p}dx\right)^{\frac{1}{p}*p}=\int_{a}^{b}|f(x)+g(x)||f(x)+g(x)|^{p-1}dx

(expanding |f(x)+g(x)| using the triangle equality)

\leq\int_{a}^{b}|f(x)||f(x)+g(x)|^{p-1}dx+\int_{a}^{b}|g(x)||f(x)+g(x)|^{p-1}dx

(using Hölder's inequality) \leq\left(\int_{a}^{b}|f(x)|^{p}dx\right)^{\frac{1}{p}}\left(\int_{a}^{b}|f(x)+g(x)|^{q\left(p-1\right)}dx\right)^{\frac{1}{q}}+ \left(\int_{a}^{b}|g(x)|^{p}dx\right)^{\frac{1}{p}}\left(\int_{a}^{b}|f(x)+g(x)|^{q\left(p-1\right)}dx\right)^{\frac{1}{q}}

=\left*\left(\int_{a}^{b}|f(x)+g(x)|^{qp-q}dx\right)^{\frac{1}{q}}

(using that p=qp-q, since \frac{1}{p}+\frac{1}{q}=1)

\leq\left*\left(\int_{a}^{b}|f(x)+g(x)|^{p}dx\right)^{\frac{1}{p}*\frac{p}{q}}

Now we divide the first and last expression in this sequence of inequalities by the second factor of latter. This gives us

\left(\int_{a}^{b}|f(x)+g(x)|^{p}dx\right)^{\frac{1}{p}\left(p-\frac{p}{q}\right)}\leq\left*

and as p-\frac{p}{q}=1, we finally arrive at

\left(\int_{a}^{b}|f(x)+g(x)|^{p}dx\right)^{\frac{1}{p}}\leq\left*

which completes the proof.

Inequalities

Minkowski-Ungleichung | Неравенство Минковского | Minkowski Eşitsizliği

 

This article is licensed under the GNU Free Documentation License. It uses material from the "Minkowski inequality".

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