metric
hemimetric
metric space
metric function
distance formula
pseudometric
Cartesian product
distance function
metric linear unit
ultrametric
Rolle's theorem
semi-metric space
pseudometric space
p-adic ultrametric
ball
uniformly continuous
Euclidean metric
Cartesian distance
analytic geometry
discrete metric
coordinate geometry
analytical geometry
number line
taxicab geometry
divergence
pseudodistance
function space
metageometrician
sphere
multidistance
Delone set
affinely independent
level set
Möbius transformation
analytic function
Gaussian function
point function
set function
ordinate dimension
autometry
way
posynomial
displacement
supramenable
invariant
league
signum
Lipschitz
Cartesian space
counting measure
covering
oscillation
cubinvariant
mean value theorem
measurable function
superuniversal
Taylor series
bitensor
semi-norm
open ball
superinvariant
eigenvalue
eigenvalue of a square matrix
Haar space
nautical linear unit
affine variety
characteristic root of a square matrix
least squares
milage
mileage
finite difference
p-adic norm
two-norm
rectangular coordinates
trilinear
eigenvalue of a matrix
phase space
Sendov's conjecture
method of least squares
timelike
residue
centroid
orthorectified
field of quotients
Gaussian
integral
Euclidean distance
metageometry
Klein geometry
Laplace transform
isometry
quasianalytic
Dvoretzky's theorem
Morse theory
scale
algebrogeometric
binary function
diameter

English words for 'A function for the measurement of the "distance" between two points in some metric space: it is a real-valued function d(x,y) between points x and y satisfying the following properties: (1) "non-negativity": d(x,y)>0, (2) "identity of indiscernibles": d(x,y)=0 mbox iffx=y, (3) "symmetry": d(x,y)=d(y,x), and (4) "triangle inequality": d(x,y)

As you may have noticed, above you will find words for "A function for the measurement of the "distance" between two points in some metric space: it is a real-valued function d(x,y) between points x and y satisfying the following properties: (1) "non-negativity": d(x,y)>0, (2) "identity of indiscernibles": d(x,y)=0 mbox iffx=y, (3) "symmetry": d(x,y)=d(y,x), and (4) "triangle inequality": d(x,y) to find a better fitting word. Finally, thanks to ChatGPT, the overall results have been greatly improved.

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