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Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n

The Euclidean norm on RnR^n is the nonnegative square root of the sum of squared coordinates, induces the Euclidean distance, vanishes exactly at the origin, dominates each coordinate, is absolutely homogeneous and satisfies the triangle inequality.

Statement

Let nn be a natural number, let x=(x1,…,xn)x=(x_1,\dots,x_n), yy and hh be points of Euclidean space Rn\mathbb{R}^n, and let λ\lambda be a real number. The real numbers form an ordered field, with additive identity 00 and order ≤\le; for a real number tt write t2t^2 for t⋅tt\cdot t and ∣t∣|t| for its absolute value. Sums ∑i=1n\sum_{i=1}^{n} below are finite sums in the field of real numbers, and index ranges such as 1≤i≤n1\le i\le n use the order on the natural numbers.

Write ∥ ⋅ ∥\lVert\,\cdot\,\rVert for the Euclidean norm, dEd_E for the Euclidean distance, 0Rn0_{\mathbb{R}^n} for the origin of Rn\mathbb{R}^n, x+yx+y for the sum of points, λx\lambda x for the scalar multiple, and x−yx-y and x⋅yx\cdot y for the difference and dot product of points of Rn\mathbb{R}^n. Then the following hold.

1. (Square of the norm) ∥x∥\lVert x\rVert is the unique real number rr with 0≤r0\le r and r2=∑i=1nxi2r^{2}=\sum_{i=1}^{n}x_i^{2}. In particular

0≤∥x∥,∥x∥2=∑i=1nxi2=x⋅x.0\le\lVert x\rVert,\qquad \lVert x\rVert^{2}=\sum_{i=1}^{n}x_i^{2}=x\cdot x .

2. (Distance) dE(x,y)=∥x−y∥d_E(x,y)=\lVert x-y\rVert; in particular dE(x,0Rn)=∥x∥d_E(x,0_{\mathbb{R}^n})=\lVert x\rVert and dE(x,x+h)=∥h∥d_E(x,x+h)=\lVert h\rVert.

3. (Vanishing) ∥x∥=0\lVert x\rVert=0 if and only if x=0Rnx=0_{\mathbb{R}^n}.

4. (Coordinate bound) ∣xi∣≤∥x∥|x_i|\le\lVert x\rVert for every natural number ii with 1≤i≤n1\le i\le n.

5. (Absolute homogeneity) ∥λx∥=∣λ∣ ∥x∥\lVert\lambda x\rVert=|\lambda|\,\lVert x\rVert.

6. (Triangle inequality) ∥x+y∥≤∥x∥+∥y∥\lVert x+y\rVert\le\lVert x\rVert+\lVert y\rVert.

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