A metric satisfies d(x,z)≤d(x,y)+d(y,z): visiting an intermediate point cannot beat the direct endpoint distance. A norm satisfies the corresponding inequality ∥u+v∥≤∥u∥+∥v∥.
Take O=(0,0), Q=(3,0), and P=(3,4). For Euclidean distance, the triangle inequality reads 5≤3+4=7. The direct line segment has metric path length 5, while the route through Q has metric path length 7. For Manhattan distance, the same comparison becomes 7=3+4: both routes are shortest. The line segment and the bent route both become metric geodesics when progress is measured by metric path length. For Chebyshev distance, the direct line segment has metric path length 4, while the same bent route still costs 7.
Repeated application of the triangle inequality bounds the endpoint distance by the sum along any finite chain of intermediate points. This explains why metric path length is always at least the distance between endpoints. Equality reveals a shortest route, but its shape and uniqueness depend on the chosen metric.
In a metric space, applying the triangle inequality in both directions gives ∣d(x,z)−d(y,z)∣≤d(x,y). In a normed vector space, its corresponding form is ∣∥x∥−∥y∥∣≤∥x−y∥. In particular, distance to a fixed point is a Lipschitz continuous real function.
For four points x1,x2,y1,y2 in a metric space,Both steps follow from the triangle inequality. The first also holds with an absolute value around the difference, by the reverse triangle inequality. This transports a difference of distances measured from one point into a sum measured from another.
d(x1,y1)−d(x1,y2)≤d(y1,y2)≤d(x2,y1)+d(x2,y2).
For an integrable function f with values in a finite-dimensional normed vector space,For the Euclidean norm, pair the integral with a unit vector in its direction and apply the Cauchy-Schwarz inequality pointwise.
∫f≤∫∥f∥.
For nonzero complex numbers x,y, equality ∣x+y∣=∣x∣+∣y∣ holds exactly when x/y is a positive real number, equivalently when the two numbers have the same complex argument modulo 2π.
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- Absolute-series criterion for completeness
- Anchored variation norm
- Banach space
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- Bhattacharyya distance
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- Periodic primitive with zero mean
- Perron–Frobenius theorem
- Polygon inequality
- Polynomial coefficient sum norm
- Pooled-mean compatibility under rounding
- Positive-kernel comparison of thin-disk fields
- Prime-restriction metric for pretentious distance
- Product metric
- Quantum circuit gate-error telescoping bound
- Quasi-norm
- Reich–Strebel inequality
- Remainder of a geometric series
- Reverse triangle inequality
- Rotational Raman spectroscopy
- Safe pivots for tridiagonal elimination
- Scalar total variation splitting under clipping
- Schauder approximation lemma
- Seminorm
- Separating family of seminorms
- Shortest-path pursuit distance bound
- Simultaneous rendezvous distance
- Singular value perturbation bound
- Space of continuous functions on a compact space
- Spectral Lipschitz bound from Frobenius distance
- Star metric centered at a point
- Step-size choice for a noisy central derivative
- Strong stability preserving Runge-Kutta method
- Submultiplicativity of the operator norm
- Summable increments imply a Cauchy sequence
- Summably nested Hausdorff intersection theorem
- Sum of power series with unequal radii of convergence
- Symmetric Bregman distance
- Topological vector space
- Total variation distance under a measurable map
- Total variation of a function
- Trace-class duality
- Trace distance
- Translation continuity in Lp
- Travel-time minimization with speed proportional to squared radius
- Triangle
- Triangle inequality
- Ultrametric inequality
- Uniform Cauchy criterion
- Uniform convergence at moving evaluation points
- Uniform limit theorem
- Uniformly continuous function
- Uniqueness of a limit in probability
- Wall of marginal stability
- Weighted binary-sequence metric
- Weighted Hamilton cycle
- Word metric
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The triangle inequality is a fundamental concept in geometry and mathematics that states the following for any triangle with sides of lengths \( a \), \( b \), and \( c \): 1. \( a + b > c \) 2. \( a + c > b \) 3. \( b + c > a \) In essence, the triangle inequality asserts that the sum of the lengths of any two sides of a triangle must be greater than the length of the remaining side.
