Minkowski's Inequality

Proof
Last updated: Tags: Proof, Inequalities

Prerequisites

For the ℓp\ell^p norm to deserve the name norm, it must satisfy the triangle inequality: the length of a sum is at most the sum of the lengths. That statement is Minkowski’s inequality, and it is the property that makes ℓp\ell^p a genuine normed space. The proof is a clever splitting followed by a single application of Hölder’s inequality.

The theorem

For p≥1p \geq 1, write the ℓp\ell^p norm of a finite sequence as ∥a∥p≔(∑i∣ai∣p)1/p\|a\|_p \coloneqq \big(\sum_i |a_i|^p\big)^{1/p}.

Theorem (Minkowski’s Inequality). Let p≥1p \geq 1 and let a1,…,ana_1, \ldots, a_n and b1,…,bnb_1, \ldots, b_n be real (or complex) numbers. Then

(∑i=1n∣ai+bi∣p)1/p  ≤  (∑i=1n∣ai∣p)1/p+(∑i=1n∣bi∣p)1/p,(1)\left(\sum_{i=1}^{n} |a_i + b_i|^{p}\right)^{1/p} \;\leq\; \left(\sum_{i=1}^{n} |a_i|^{p}\right)^{1/p} + \left(\sum_{i=1}^{n} |b_i|^{p}\right)^{1/p}, \tag{1}

that is, ∥a+b∥p≤∥a∥p+∥b∥p\|a + b\|_p \leq \|a\|_p + \|b\|_p.

The two easy exponents

Case p=1p = 1. Inequality (1)(1) is just the ordinary triangle inequality summed termwise: ∣ai+bi∣≤∣ai∣+∣bi∣|a_i + b_i| \leq |a_i| + |b_i|, so ∑i∣ai+bi∣≤∑i∣ai∣+∑i∣bi∣\sum_i |a_i + b_i| \leq \sum_i |a_i| + \sum_i |b_i|.

So assume p>1p > 1 for the rest, and let q=pp−1q = \dfrac{p}{p-1} be its conjugate exponent, so that (p−1)q=p(p-1)q = p and 1p+1q=1\dfrac{1}{p} + \dfrac{1}{q} = 1.

Proof for p>1p > 1: split, then apply Hölder

Let S≔∑i=1n∣ai+bi∣pS \coloneqq \sum_{i=1}^{n} |a_i + b_i|^{p}. If S=0S = 0 both sides of (1)(1) are zero, so assume S>0S > 0.

Split the power. Write one factor of ∣ai+bi∣|a_i + b_i| off the front and bound it with the triangle inequality ∣ai+bi∣≤∣ai∣+∣bi∣|a_i + b_i| \leq |a_i| + |b_i|:

∣ai+bi∣p=∣ai+bi∣ ⋅ ∣ai+bi∣p−1  ≤  ∣ai∣ ∣ai+bi∣p−1+∣bi∣ ∣ai+bi∣p−1.|a_i + b_i|^{p} = |a_i + b_i|\,\cdot\,|a_i + b_i|^{p-1} \;\leq\; |a_i|\,|a_i + b_i|^{p-1} + |b_i|\,|a_i + b_i|^{p-1}.

Summing over ii,

S  ≤  ∑i=1n∣ai∣ ∣ai+bi∣p−1⏟(I)  +  ∑i=1n∣bi∣ ∣ai+bi∣p−1⏟(II).(2)S \;\leq\; \underbrace{\sum_{i=1}^{n} |a_i|\,|a_i + b_i|^{p-1}}_{(\mathrm{I})} \;+\; \underbrace{\sum_{i=1}^{n} |b_i|\,|a_i + b_i|^{p-1}}_{(\mathrm{II})}. \tag{2}

Apply Hölder to each piece. Treat (I)(\mathrm{I}) as the pairing of the sequence (∣ai∣)(|a_i|) with (∣ai+bi∣p−1)(|a_i + b_i|^{p-1}) and apply Hölder’s inequality with exponents pp and qq:

(I)  ≤  (∑i=1n∣ai∣p)1/p(∑i=1n∣ai+bi∣(p−1)q)1/q.(\mathrm{I}) \;\leq\; \left(\sum_{i=1}^{n} |a_i|^{p}\right)^{1/p} \left(\sum_{i=1}^{n} |a_i + b_i|^{(p-1)q}\right)^{1/q}.

Because (p−1)q=p(p-1)q = p, the second factor is (∑i∣ai+bi∣p)1/q=S1/q\big(\sum_i |a_i + b_i|^{p}\big)^{1/q} = S^{1/q}. Hence

(I)  ≤  ∥a∥p S1/q,and likewise(II)  ≤  ∥b∥p S1/q.(\mathrm{I}) \;\leq\; \|a\|_p \, S^{1/q}, \qquad\text{and likewise}\qquad (\mathrm{II}) \;\leq\; \|b\|_p \, S^{1/q}.

Combine. Substituting both bounds into (2)(2),

S  ≤  (∥a∥p+∥b∥p) S1/q.S \;\leq\; \big(\|a\|_p + \|b\|_p\big)\, S^{1/q}.

Since S>0S > 0, divide both sides by S1/qS^{1/q}. Using 1−1q=1p1 - \dfrac{1}{q} = \dfrac{1}{p},

S1/p=S 1−1/q  ≤  ∥a∥p+∥b∥p,S^{1/p} = S^{\,1 - 1/q} \;\leq\; \|a\|_p + \|b\|_p,

which is exactly (1)(1). □\square

Why this matters

Minkowski’s inequality is the triangle inequality for the ℓp\ell^p norm. Together with the easy facts ∥a∥p≥0\|a\|_p \geq 0 (with equality only for the zero sequence) and ∥λa∥p=∣λ∣ ∥a∥p\|\lambda a\|_p = |\lambda|\,\|a\|_p, it certifies that ∥⋅∥p\|\cdot\|_p is a genuine norm — and therefore that ℓp\ell^p is a normed vector space for every p≥1p \geq 1. The same argument, with sums replaced by integrals, gives Minkowski’s inequality for LpL^p function spaces.

Summary

  • Minkowski’s inequality: ∥a+b∥p≤∥a∥p+∥b∥p\|a + b\|_p \leq \|a\|_p + \|b\|_p for p≥1p \geq 1 — the triangle inequality for the ℓp\ell^p norm.
  • Case p=1p = 1 is the termwise triangle inequality; the work is in p>1p > 1.
  • Proof for p>1p > 1: split ∣ai+bi∣p=∣ai+bi∣⋅∣ai+bi∣p−1|a_i + b_i|^p = |a_i + b_i|\cdot|a_i + b_i|^{p-1}, bound the first factor by ∣ai∣+∣bi∣|a_i| + |b_i|, and apply Hölder’s inequality to each resulting sum; the exponent identity (p−1)q=p(p-1)q = p makes the leftover factor collapse to S1/qS^{1/q}.
  • Consequence: ∥⋅∥p\|\cdot\|_p is a norm, so ℓp\ell^p (and LpL^p) are normed spaces.