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Quotient topology
For a surjection q:X→Y, the quotient topology declares U open exactly when its full preimage under q is open.
OCME · Bilingual mathematics & derivations
Understand concepts through definitions, assumptions and formulas, then follow guides, practice and evidence.
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For a surjection q:X→Y, the quotient topology declares U open exactly when its full preimage under q is open.
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A space is path connected when every pair of its points is joined by a continuous map from the unit interval.
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The component of a point is its unique inclusion-maximal connected subset; components partition the space and are closed.
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An infinite IID sequence with common finite positive variance has centered sums scaled by sigma*sqrt(n) converging in distribution to the standard normal law.
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The sample means of a finite-valued infinite IID sequence converge almost surely to the common expectation.
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Frequentist coverage is the repeated-sampling probability that a fixed interval-valued procedure covers each true parameter.
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An integer n>1 is prime exactly when (n−1)! is congruent to−1 modulo n.
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For prime p and nonzero integer a, v_p(a) is the largest exponent of p dividing |a|; this node fixes v_p(0)=infinity.
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Regular expressions recursively build languages from the empty language, epsilon, alphabet symbols, union, concatenation and Kleene star.
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Every regular language has a positive pumping length such that each sufficiently long member word has a split that remains in the language for every pump count.
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At a qualified point with nonzero derivative, Newton method moves to the tangent-line zero x−f(x)/f_prime(x); convergence requires separate local hypotheses.
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On a strictly increasing partition, add each subinterval width times its two-endpoint average to approximate the definite integral.
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In fixed Euclidean coordinates, a positive step moves opposite the gradient; descent and convergence still require objective and step-size hypotheses.
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At a regular feasible constrained local extremum, the objective gradient is a linear combination of the constraint gradients.