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OCMEBilingual mathematics & derivations繁體中文

OCME · Bilingual mathematics & derivations

Knowledge objects

Understand concepts through definitions, assumptions and formulas, then follow guides, practice and evidence.

Knowledge object

Modular inverse

For n≥2, a has a multiplicative inverse modulo n exactly when gcd(a,n)=1; the inverse is unique as a residue class modulo n.

mko-modular-inverse · Number theory

Knowledge object

Rank-nullity theorem

A linear map T:V→W with finite-dimensional source satisfies dim(V)=dim(ker T)+rank(T).

mko-rank-nullity-theorem · Algebra

Knowledge object

Uniform convergence of functions

Uniform convergence requires one witness N(epsilon) controlling every point of the domain simultaneously.

mko-uniform-convergence-of-functions · Analysis

Knowledge object

Absolute convergence of series

A series is absolutely convergent when the sum of absolute terms converges; absolute convergence implies convergence, but the converse does not hold in general.

mko-absolute-convergence-of-series · Analysis

Knowledge object

Statistical estimator

An estimator is a fixed measurable total statistic independent of the unknown parameter; its observed numerical value is an estimate.

mko-statistical-estimator · Probability and statistics

Knowledge object

Chinese remainder theorem

For positive pairwise-coprime moduli, an integer congruence system has a unique solution class modulo their product.

mko-chinese-remainder-theorem · Number theory

Knowledge object

Spanning tree

A spanning tree is a connected acyclic subgraph containing every vertex of its parent graph.

mko-spanning-tree · Combinatorics and discrete mathematics

Knowledge object

Lp convergence

On a common probability space with fixed integer p≥1, Lp convergence means E|X_n−X|^p tends to zero.

mko-lp-convergence · Probability and statistics

Knowledge object

Direct sum of subspaces

The sum of two subspaces is an internal direct sum when every vector in that sum has a unique decomposition; covering an ambient space is a separate spanning obligation.

mko-direct-sum · Algebra

Knowledge object

Dual vector space

The dual of a real vector space consists of all real-valued linear functionals; a covector coordinate row depends on a chosen basis.

mko-dual-vector-space · Algebra

Knowledge object

Euclidean algorithm

The Euclidean algorithm computes the gcd using exact quotient-remainder divisions, gcd invariance and strictly decreasing nonnegative remainders.

mko-euclidean-algorithm · Number theory

Knowledge object

Euler trails and circuits

An Euler trail uses each edge once; on connected nonzero-edge support, zero odd-degree vertices give a circuit and two give an open Euler trail.

mko-eulerian-trail · Combinatorics and discrete mathematics

Knowledge object

Homeomorphism

A homeomorphism is a bijection that is continuous in both directions; a continuous bijection alone need not be a homeomorphism.

mko-homeomorphism · Topology

Knowledge object

Sampling distribution

At a fixed parameter, an estimator pushes the sample law forward to its sampling distribution; all parameters give a family of such laws.

mko-sampling-distribution · Probability and statistics

Knowledge object

Weak law of large numbers

For IID variables with finite variance, a Chebyshev bound shows the sample mean converges in probability to the common mean.

mko-weak-law-large-numbers · Probability and statistics

Knowledge object

Chromatic number

The chromatic number of a finite simple graph is the minimum number of colors in a proper vertex coloring; equality needs both upper and lower certificates.

mko-chromatic-number · Combinatorics and discrete mathematics

Knowledge object

Cliques and independent sets

Every pair of distinct vertices of a clique is adjacent; every pair of an independent set is nonadjacent. Inclusion-maximal and maximum-cardinality are different.

mko-clique-and-independent-set · Combinatorics and discrete mathematics

Knowledge object

Estimator bias

Bias at theta is the estimator expectation under its theta sampling law minus the target parameter; unbiasedness requires zero bias at every theta.

mko-estimator-bias · Probability and statistics

Knowledge object

Estimator variance

At each theta, estimator variance is the second central moment of its sampling law around its own mean; it is not bias or MSE by itself.

mko-estimator-variance · Probability and statistics

Knowledge object

Fermat's little theorem

For a prime p, a^p is congruent to a modulo p; if p does not divide a, a^(p−1) is congruent to1 modulo p. The converse fails.

mko-fermat-little-theorem · Number theory

Knowledge object

Linear Diophantine equation

A nondegenerate integer equation a*x+b*y=c has a solution exactly when gcd(a,b) divides c; all solutions have one integer parameter.

mko-linear-diophantine-equation · Number theory

Knowledge object

Quotient vector space

Cosets of a subspace W form the quotient vector space V/W, whose operations must be independent of representative choices.

mko-quotient-vector-space · Algebra

Knowledge object

Finite group action

An action of a finite group on a finite set is a total action table satisfying the identity and multiplication-compatibility laws.

mko-finite-group-action · Algebra

Knowledge object

Supremum and infimum

For a nonempty appropriately bounded real set, the supremum is its least upper bound and the infimum its greatest lower bound; either need not belong to the set.

mko-supremum-and-infimum · Analysis