Math 2.0

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Coordinate vector

The coordinate vector of a vector in a finite basis is the list of the coefficients of the vector in that basis.

Modular exponentiation

Modular exponentiation computes be mod mb^e \bmod m for integers bb, e≥0e \ge 0 and m≥1m \ge 1. The binary method writes ee in base 22. It squares bb again and again modulo mm, and it multiplies the squares b2ib^{2^i} for the bits ii of ee that are 11. It needs about 2log⁡2e2 \log_2 e multiplications modulo mm, and each intermediate number is smaller than m2m^2.

Natural logarithm

The natural logarithm is the inverse of the exponential function. It is defined for positive numbers, it turns products into sums, and its derivative is 1/x1/x. The node natural logarithm gives the precise definition.

Circle group

The circle group is the set 𝕋={z∈ℂ:∣z∣=1}\mathbb{T} = \{z \in \mathbb{C} : |z| = 1\} of the complex numbers of absolute value 11, with complex multiplication. It is an abelian group with identity element 11, and the inverse of zz is its complex conjugate zˉ=1/z\bar{z} = 1/z. Each element of 𝕋\mathbb{T} is eiθe^{i\theta} for a real number θ\theta, and eiθeiφ=ei(θ+φ)e^{i\theta} e^{i\varphi} = e^{i(\theta + \varphi)}.

Builds on Abelian group

Uniqueness of the supremum

Let (P,≤)(P, \le) be a partially ordered set and let SS be a subset of PP. If bb and b′b' are both suprema of SS, then b=b′b = b'.

Builds on Supremum

Riesz representation theorem in finite dimensions

Let VV be a finite-dimensional inner product space over ℝ\R or ℂ\C, with the inner product linear in the first argument. Then, for each linear form f ⁣:V→𝕂f \colon V \to \mathbb{K}, there is exactly one vector y∈Vy \in V with f(x)=⟨x,y⟩for all x∈V.f(x) = \langle x, y \rangle \qquad \text{for all } x \in V.

Builds on Inner product space, Linear form

Separation axioms

The separation axioms are conditions on a topological space that say how well open sets can separate points and closed sets. The main ones, from weak to strong, are T0, T1, Hausdorff, regular and normal.

Dirichlet's approximation theorem

Let α\alpha be a real number and let NN be a positive integer. Then there are integers pp and qq with 1≤q≤N1 \le q \le N and ∣qα−p∣≤1N+1.|q \alpha - p| \le \frac{1}{N + 1}.

Hockey-stick identity

Let nn and rr be natural numbers with r≤nr \le n. Then ∑i=rn(ir)=(n+1r+1).\sum_{i=r}^{n} \binom{i}{r} = \binom{n + 1}{r + 1}.

Builds on Binomial coefficient

Homogeneous system of linear equations

A homogeneous system of linear equations is a system in which every constant term is zero. Such a system always has the zero solution, and its solution set is a vector subspace.

Clique number

The clique number of a finite graph is the size of its largest clique. It is a lower bound for the chromatic number. The node clique number gives the precise definition.

Continued fraction

A continued fraction is an expression b0+a1/(b1+a2/(b2+⋯ ))b_0 + a_1 / (b_1 + a_2 / (b_2 + \cdots)), a fraction whose denominator contains a fraction, and so on. The definition of a continued fraction gives the precise form.

Geometric distribution

The geometric distribution describes the waiting time until the first success in a sequence of independent Bernoulli trials. One version counts the failures before the first success, and the other counts the trials up to and including it. The node geometric distribution gives the precise definition.

Euler's formula

For every complex number zz, eiz=cos⁡z+isin⁡z.e^{i z} = \cos z + i \sin z. Here ew=∑n=0∞wn/n!e^{w} = \sum_{n=0}^{\infty} w^n / n! is the complex exponential function, and cos⁡\cos and sin⁡\sin are given by their power series.

Builds on Complex numbers

Law of total expectation

Let XX be an integrable real random variable on (Ω,ℱ,P)(\Omega, \mathcal{F}, P) and let 𝒢⊆ℱ\mathcal{G} \subseteq \mathcal{F} be a σ-algebra. Then E[E[X∣𝒢]]=E[X].E\left[E[X \mid \mathcal{G}]\right] = E[X]. In particular, E[E[X∣Y]]=E[X]E[E[X \mid Y]] = E[X] for each random variable YY on the same space.

Builds on Conditional expectation, Expected value, Law of total probability

Parabola

A parabola is a plane curve. Each of its points has the same distance from a fixed point, the focus, and from a fixed line, the directrix. It is symmetric about the line through the focus perpendicular to the directrix.

Galois field

For each prime power q=pnq = p^n, the Galois field GF(q)\mathrm{GF}(q), also written 𝔽q\mathbb{F}_q, is the finite field with qq elements. It exists, and it is unique up to isomorphism. One model is the splitting field of xq−xx^q - x over 𝔽p=ℤ/pℤ\mathbb{F}_p = \mathbb{Z}/p\mathbb{Z}. Another model is 𝔽p[x]/(f)\mathbb{F}_p[x]/(f) for an irreducible polynomial f∈𝔽p[x]f \in \mathbb{F}_p[x] of degree nn.

Builds on Existence of finite fields of every prime power order, Uniqueness of finite fields of a given order

Chinese remainder theorem for non-coprime moduli

Let mm and nn be positive integers, and let aa and bb be integers. Let g=gcd⁡(m,n)g = \gcd(m, n) and M=lcm⁡(m,n)M = \operatorname{lcm}(m, n). The system x≡a(modm)x \equiv a \pmod m, x≡b(modn)x \equiv b \pmod n has an integer solution if and only if a≡b(modg)a \equiv b \pmod g. In this case, two solutions are congruent modulo MM.

Builds on Chinese remainder theorem, Greatest common divisor, Least common multiple

Higher derivative

The higher derivatives of a function come from repeated differentiation. The nn-th derivative f(n)f^{(n)} is the derivative of f(n−1)f^{(n-1)}. The node higher derivative gives the precise definition.

Definite integral

A definite integral is the integral of a function between two given limits of integration. It is a number, and its sign changes when the two limits are swapped. The node definite integral gives the precise definition.

Random walk

A random walk is a stochastic process whose position is a sum of independent random steps. The simple random walk on the integers moves one step up or down at each time. The node random walk gives the precise definition.

Determinant as signed volume

Let n≥1n \ge 1 and let v1,…,vn∈ℝnv_1, \dots, v_n \in \R^n be the columns of a real n×nn \times n matrix AA. The parallelepiped spanned by them is P={t1v1+⋯+tnvn:0≤ti≤1}P = \{t_1 v_1 + \cdots + t_n v_n : 0 \le t_i \le 1\}. Its nn-dimensional volume is ∣det⁡A∣\abs{\det A}, where det⁡\det is the determinant. If det⁡A≠0\det A \ne 0, then its sign is positive when (v1,…,vn)(v_1, \dots, v_n) has the orientation of the standard basis, and negative when it has the opposite orientation.

Builds on Determinant

Elementary row operations

The elementary row operations are three kinds of operations on the rows of a matrix. They swap two rows, multiply a row by a nonzero scalar, or add a multiple of one row to another row.