For the ℓp 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 a genuine normed space. The proof is a clever splitting followed by a single application of Hölder’s inequality.
The theorem
For p≥1, write the ℓp norm of a finite sequence as ∥a∥p:=(∑i∣ai∣p)1/p.
Theorem (Minkowski’s Inequality). Let p≥1 and let a1,…,an and b1,…,bn be real (or complex) numbers. Then
Apply Hölder to each piece. Treat (I) as the pairing of the sequence (∣ai∣) with (∣ai+bi∣p−1) and apply Hölder’s inequality with exponents p and q:
(I)≤(i=1∑n∣ai∣p)1/p(i=1∑n∣ai+bi∣(p−1)q)1/q.
Because (p−1)q=p, the second factor is (∑i∣ai+bi∣p)1/q=S1/q. Hence
(I)≤∥a∥pS1/q,and likewise(II)≤∥b∥pS1/q.
Combine. Substituting both bounds into (2),
S≤(∥a∥p+∥b∥p)S1/q.
Since S>0, divide both sides by S1/q. Using 1−q1=p1,
S1/p=S1−1/q≤∥a∥p+∥b∥p,
which is exactly (1). □
Why this matters
Minkowski’s inequality is the triangle inequality for the ℓp norm. Together with the easy facts ∥a∥p≥0 (with equality only for the zero sequence) and ∥λa∥p=∣λ∣∥a∥p, it certifies that ∥⋅∥p is a genuine norm — and therefore that ℓp is a normed vector space for every p≥1. The same argument, with sums replaced by integrals, gives Minkowski’s inequality for Lp function spaces.
Summary
Minkowski’s inequality: ∥a+b∥p≤∥a∥p+∥b∥p for p≥1 — the triangle inequality for the ℓp norm.
Case p=1 is the termwise triangle inequality; the work is in p>1.
Proof for p>1: split ∣ai+bi∣p=∣ai+bi∣⋅∣ai+bi∣p−1, bound the first factor by ∣ai∣+∣bi∣, and apply Hölder’s inequality to each resulting sum; the exponent identity (p−1)q=p makes the leftover factor collapse to S1/q.
Consequence: ∥⋅∥p is a norm, so ℓp (and Lp) are normed spaces.