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Minkowski Inequality 📂Linear Algebra

Minkowski Inequality

Theorem

For two vectors x=(x1,x2,,xn)\mathbf{x}= (x_{1} , x_{2} , \dots , x_{n} ), y=(y1,y2,,yn)\mathbf{y} = (y_{1} , y_{2} , \dots , y_{n} ) and a real number 11 larger than pp, the following equation holds.

(k=1nxk+ykp)1p(k=1nxkp)1p+(k=1nykp)1p \left( \sum_{k=1}^{n} | x_{k} + y_{k} |^{p} \right)^{{1} \over {p}} \le \left( \sum_{k=1}^{n} |x_{k}|^{p} \right)^{{1} \over {p}} + \left( \sum_{k=1}^{n} |y_{k}|^{p} \right)^{{1} \over {p}}

This is called the Minkowski’s inequality.

Description

Minkowski’s inequality corresponds to the triangle inequality regarding the definition of pp-norm. Although I’m not sure if there are other ways to prove it, using Hölder’s inequality as commonly done leads to circular reasoning. This is because the definition of pp-norm is assumed from the beginning when describing Hölder’s inequality. Essentially, the proof of Hölder’s inequality does not need such properties of the norm, so the expression must be appropriately modified.

Proof

By the triangle inequality, the following equation is established.

k=1nxk+ykpk=1nxkxk+ykp1+k=1nykxk+ykp1=k=1nxkxk+ykp1+k=1nykxk+ykp1 \begin{align*} \sum_{k=1}^{n} | x_{k} + y_{k} |^p \le & \sum_{k=1}^{n} |x_{k}| | x_{k} + y_{k} |^{p-1} + \sum_{k=1}^{n} |y_{k}| | x_{k} + y_{k} |^{p-1} \\ =& \left| \sum_{k=1}^{n} |x_{k}| | x_{k} + y_{k} |^{p-1} \right| + \left| \sum_{k=1}^{n} |y_{k}| | x_{k} + y_{k} |^{p-1} \right| \end{align*}

Hölder’s Inequality

For two constants p,q>1p, q>1 and u,vCn\mathbf{u}, \mathbf{v} \in \mathbb{C}^n satisfying 1p+1q=1\displaystyle {{1 } \over {p}} + {{1} \over {q}} = 1,

k=1nukvk(k=1nukp)1p(k=1nvkq)1q \left| \sum_{k=1}^{n} u_{k} v_{k} \right| \le \left( \sum_{k=1}^{n} |u_{k}|^p \right)^{{1} \over {p}} \left( \sum_{k=1}^{n} |v_{k}|^q \right)^{{1} \over {q}}

By Hölder’s inequality, it is as follows.

k=1nxkxk+ykp1+k=1nykxk+ykp1(k=1nxkp)1p(k=1nxk+yk(p1)q)1q+(k=1nykp)1p(k=1nxk+yk(p1)q)1q \left| \sum_{k=1}^{n} |x_{k}| | x_{k} + y_{k} |^{p-1} \right| + \left| \sum_{k=1}^{n} |y_{k}| | x_{k} + y_{k} |^{p-1} \right| \\ \le \left( \sum_{k=1}^{n} |x_{k}|^{p} \right)^{{1}\over{p}} \left( \sum_{k=1}^{n} | x_{k} + y_{k} |^{(p-1)q} \right)^{{1}\over{q}} + \left( \sum_{k=1}^{n} |y_{k}|^{p} \right)^{{1}\over{p}} \left( \sum_{k=1}^{n} | x_{k} + y_{k} |^{(p-1)q} \right)^{{1}\over{q}}

Since 1p+1q=1\dfrac{1}{p} + \dfrac{1}{q} = 1, then (p1)q=p(p-1)q = p, and by rearranging, it is as follows.

k=1nxk+ykp[(k=1nxkp)1p+(k=1nykp)1p](k=1nxk+ykp)1q \sum_{k=1}^{n} | x_{k} + y_{k} |^p \le \left[ \left( \sum_{k=1}^{n} |x_{k}|^{p} \right)^{{1}\over{p}} + \left( \sum_{k=1}^{n} |y_{k}|^{p} \right)^{{1}\over{p}} \right] \left( \sum_{k=1}^{n} | x_{k} + y_{k} |^{p} \right)^{{1}\over{q}}

Dividing both sides by (k=1nxk+ykp)1q\left( \sum \limits_{k=1}^{n} | x_{k} + y_{k} |^{p} \right)^{{1}\over{q}} results in the following.

(k=1nxk+ykp)11q(k=1nxkp)1p+(k=1nykp)1p \left( \sum_{k=1}^{n} | x_{k} + y_{k} |^p \right) ^{1 - {{1} \over {q}}} \le \left( \sum_{k=1}^{n} |x_{k}|^{p} \right)^{{1}\over{p}} + \left( \sum_{k=1}^{n} |y_{k}|^{p} \right)^{{1}\over{p}}

Since 11q=1p1 - \dfrac{1}{q} = \dfrac{1}{p}, we obtain the following result.

(k=1nxk+ykp)1p(k=1nxkp)1p+(k=1nykp)1p \left( \sum_{k=1}^{n} | x_{k} + y_{k} |^{p} \right)^{{1} \over {p}} \le \left( \sum_{k=1}^{n} |x_{k}|^{p} \right)^{{1} \over {p}} + \left( \sum_{k=1}^{n} |y_{k}|^{p} \right)^{{1} \over {p}}

See Also