The number line ℝ, plane ℝ2, and 3‐dimensional space ℝ3 can be generalized to n‐dimensional Euclidean or Cartesian space ℝn with coordinates (x1, x2,…, xn) on which the operations of addition and scalar multiplication are extended in the obvious way. While ℝn is hard to visualize for n>3, it provides a powerful framework in linear algebra and multivariable analysis.
If the points P and Q have coordinates (x1, x2,…, xn), and (y1, y2,…, yn) respectively, then the distance PQ can be defined to be equal to
Sometimes n‐dimensional Euclidean space is denoted as En, signifying that space has no predetermined coordinates, no natural origin or axes. Once an origin, perpendicular axes, and unit length have been decided, coordinates may be assigned and En can now be identified with ℝn.
A term used to describe ordinary two- or three-dimensional space. Also used in connection with the n-dimensional space Rn, in which a point is a real column vector x = (x1 x2…xn)′, the distance between two points x and y is
and the angle θ (0 ≤ θ ≤ π) between the vectors x and y is given by 
- convergence in distribution
- convergence in mean square
- convergence in mean squares
- convergence in probability
- convergence((of an algorithm))
- convergence of functions
- convergence space
- convergence test(for series)
- convergent evolution
- convergent margin
- convergent point
- convergent series
- converge(sequence)
- converge(series)
- converging lens
- converging margin
- conversational implicature
- conversational mode
- converse
- converse Ackermann property
- converse deduction theorem
- converse fallacy of the accident
- converse relation
- conversion
- conversion electron