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Discrete space - Wikipedia

https://en.wikipedia.org/wiki/Discrete_space
The discrete topology is the finest topology that can be given on a set

Embedding - Wikipedia

https://en.wikipedia.org/wiki/Embedding
[3] More explicitly, an injective continuous map f : X → Y {\displaystyle f:X\to Y} between topological spaces X {\displaystyle X} and Y {\displaystyle Y} is a topological embedding if f {\displaystyle f} yields a homeomorphism between X {\displaystyle X} and f ( X ) {\displaystyle f(X)} (where f ( X ) {\displaystyle

Projective module - Wikipedia

https://en.wikipedia.org/wiki/Projective_dimension
However, every projective module is a free module if the ring is a principal ideal domain such as the integers, or a (multivariate) polynomial ring over a field (this is the Quillen–Suslin theorem)

Isomorphism - Wikipedia

https://en.wikipedia.org/wiki/Canonical_isomorphism
In mathematics, an isomorphism is a structure-preserving mapping or morphism between two structures of the same type that can be reversed by an inverse mapping

Monotonic function - Wikipedia

https://en.wikipedia.org/wiki/Monotonic
A function is termed monotonically increasing (also increasing or non-decreasing)[3] if for all x {\displaystyle x} and y {\displaystyle y} such that x ≤ y {\displaystyle x\leq y} one has f ( x ) ≤ f ( y ) {\displaystyle f\

Monotonic function - Wikipedia

https://en.wikipedia.org/wiki/Monotonic_function
A function is termed monotonically increasing (also increasing or non-decreasing)[3] if for all x {\displaystyle x} and y {\displaystyle y} such that x ≤ y {\displaystyle x\leq y} one has f ( x ) ≤ f ( y ) {\displaystyle f\

Injective module - Wikipedia

https://en.wikipedia.org/wiki/Injective_module
Specifically, if Q is a submodule of some other module, then it is already a direct summand of that module; also, given a submodule of a module Y, any module homomorphism from this submodule to Q can be extended to a homomorphism from all of Y to Q

Noncommutative ring - Wikipedia

https://en.wikipedia.org/wiki/Noncommutative_ring
x n ⟩ / ( x i x j − q i j x j x i ) {\displaystyle \mathbb {C} \langle x_{1},\ldots ,x_{n}\rangle /(x_{i}x_{j}-q_{ij}x_{j}x_{i})} , called a quantum plane, where q i j ∈ C {\displaystyle q_{ij}\in \mathbb {C} } Any Clifford algebra can be described explicitly using an algebra presentation: given an F {\

Non-associative algebra - Wikipedia

https://en.wikipedia.org/wiki/Non-associative_ring
That is, an algebraic structure A is a non-associative algebra over a field K if it is a vector space over K and is equipped with a K-bilinear binary multiplication operation A × A → A which may or may not be associative

Moment generating function - Wikipedia

https://en.wikipedia.org/wiki/Moment_generating_function
As its name implies, the moment generating function can be used to compute a distribution’s moments: the n-th moment about 0 is the n-th derivative of the moment generating function, evaluated at 0

Complex analysis - Wikipedia

https://en.wikipedia.org/wiki/Complex_analysis
} A complex function is continuous if and only if its associated vector-valued function of two variables is also continuous

Truth table - Wikipedia

https://en.wikipedia.org/wiki/Truth_tables
[1] In particular, truth tables can be used to show whether a propositional expression is true for all legitimate input values, that is, logically valid

Poincaré recurrence theorem - Wikipedia

https://en.wikipedia.org/wiki/Poincar%C3%A9_recurrence_theorem
[3][4] In simple terms, it states that if a system has a finite volume (or total probability measure) and preserves that volume over time, then almost every initial state will eventually return arbitrarily close to its starting position, and it will do so infinitely many times

Lehmann–Scheffé theorem - Wikipedia

https://en.wikipedia.org/wiki/Lehmann%E2%80%93Scheff%C3%A9_theorem
This is where the Lehmann–Scheffé theorem comes in, if T {\displaystyle T} is also complete, that is, for any real-valued measurable function φ {\displaystyle \varphi } it holds E θ [ φ ( T ( X ) ) ] = 0 ⟹ φ ( T ( X ) ) = 0 P θ -a

White noise - Wikipedia

https://en.wikipedia.org/wiki/White_noise
Even a binary signal which can only take on the values 1 or -1 will be white if the sequence is statistically uncorrelated

Ideal (ring theory) - Wikipedia

https://en.wikipedia.org/wiki/Ideal_(ring_theory)
An ideal can be used to construct a quotient ring in a way similar to how, in group theory, a normal subgroup can be used to construct a quotient group

Mathematical proof - Wikipedia

https://en.wikipedia.org/wiki/Mathematical_proof
The argument may use other previously established statements, such as theorems; but every proof can, in principle, be constructed using only certain basic or original assumptions known as axioms,[2][3][4] along with the accepted rules of inference

Interval (mathematics) - Wikipedia

https://en.wikipedia.org/wiki/Interval_(mathematics)
Intervals can be defined more generally on any totally ordered set, such as integers or rational numbers

Semigroup - Wikipedia

https://en.wikipedia.org/wiki/Semigroup
If the semigroup operation is commutative, then the semigroup is called a commutative semigroup or (less often than in the analogous case of groups) it may be called an abelian semigroup

Autoregressive conditional heteroskedasticity - Wikipedia

https://en.wikipedia.org/wiki/Autoregressive_conditional_heteroskedasticity
The ARCH model is appropriate when the error variance in a time series follows an autoregressive (AR) model; if an autoregressive moving average (ARMA) model is assumed for the error variance, the model is a generalized autoregressive conditional heteroskedasticity (GARCH) model

Projective variety - Wikipedia

https://en.wikipedia.org/wiki/Projective_varieties
A projective variety is a projective curve if its dimension is one; it is a projective surface if its dimension is two; it is a projective hypersurface if its dimension is one less than the dimension of the containing projective space; in this case it is the set of zeros of a single homogeneous polynomial

Autoregressive model - Wikipedia

https://en.wikipedia.org/wiki/Autoregressive_model
It can be used to describe time-varying processes from many natural and artificial sources

Mathematical descriptions of the electromagnetic field - Wikipedia

https://en.wikipedia.org/wiki/Mathematical_descriptions_of_the_electromagnetic_field
If only the electric field (E) is non-zero, and is constant in time, the field is said to be an electrostatic field

Kurtosis - Wikipedia

https://en.wikipedia.org/wiki/Excess_kurtosis
Different measures of kurtosis can yield varying interpretations

p-adic number - Wikipedia

https://en.wikipedia.org/wiki/P-adic_number
as a slice of a solenoid In number theory, given a prime number p,[a] the p-adic numbers form an extension of the rational numbers that is distinct from the real numbers, though with some similar properties; p-adic numbers can be written in a form similar to (possibly infinite) decimals, but with digits based on a

Affine connection - Wikipedia

https://en.wikipedia.org/wiki/Affine_connection
In differential geometry, an affine connection[a] is a geometric object on a smooth manifold which connects nearby tangent spaces, so it permits tangent vector fields to be differentiated as if they were functions on the manifold with values in a fixed vector space

Statistical hypothesis test - Wikipedia

https://en.wikipedia.org/wiki/Hypothesis_test
In general, any statement about the parameters describing a population can be a hypothesis (but not a statement about the sample)

Statistical hypothesis test - Wikipedia

https://en.wikipedia.org/wiki/Hypothesis_testing
In general, any statement about the parameters describing a population can be a hypothesis (but not a statement about the sample)

Markov chain - Wikipedia

https://en.wikipedia.org/wiki/Markov_chain
In simpler terms, it is a process for which predictions can be made regarding future outcomes based solely on its present state and—most importantly—such predictions are just as good as the ones that could be made knowing the process's full history

Poisson distribution - Wikipedia

https://en.wikipedia.org/wiki/Poisson_distribution
z-1\right)\right]} Fisher information 1 λ {\displaystyle {\frac {1}{\lambda }}} In probability theory and statistics, the Poisson distribution (/ˈpwɑːsɒn/) is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time if these events