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One of the four defining properties of a metric is the triangle inequality. Linearity, differentiability, and continuity are not required.
৪৯তম বিসিএস ⎯ ফলিত গণিত [৫৬১] · তারিখ অনির্ধারিত · ৩৭ প্রশ্ন
One of the four defining properties of a metric is the triangle inequality. Linearity, differentiability, and continuity are not required.
This is just a scaled version of the discrete metric (using 2 instead of 1). Scaling by a positive constant preserves metric properties and yields the same topology, so it’s equivalent to the discrete metric.
A metric space is defined as a set X with a metric d that measures distance between elements.
R,N are unbounded.
[0,1] is bounded since all distances are ≤1.
Identity of indiscernibles means d(x, y)=0 ⟺ x=y.
This is the maximum (Chebyshev) metric.
Completeness = all Cauchy sequences converge in the space.
Each term is smaller than the previous → decreasing.
Exponentially increasing → goes to infinity → unbounded.