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A finite family of pairwise commuting diagonalizable operators on a finite-dimensional complex vector space is simultaneously diagonalizable. In particular, commuting Hermitian operators admit an orthonormal common eigenbasis.

For a real angle $\alpha$ and a unit vector $\mathbf{n}$, the rotation about $\mathbf{n}$ sendsThe vector triple product identity gives the equivalent expression $\mathbf{x}+\sin \alpha \mathbf{n}\times \mathbf{x}+(1-\cos \alpha )\mathbf{n}\times (\mathbf{n}\times \mathbf{x})$. To see why it is a rotation, decompose $\mathbf{x}$ into its parallel and perpendicular components relative to $\mathbf{n}$. The parallel component is fixed, while the perpendicular component becomes $\cos \alpha {\mathbf{x}}_{\perp }+\sin \alpha \mathbf{n}\times {\mathbf{x}}_{\perp }$, the usual plane rotation. It is also the matrix exponential of the linear operator $H\mathbf{x}=\alpha \mathbf{n}\times \mathbf{x}$: the identity $H^3=-{\alpha }^{2}H$ reduces its exponential series to these three terms.

If a primitive polynomialhas a rational root $r/s$ in lowest terms, then $r\mid a_0$ and $s\mid a_n$. In particular, a monic integer polynomial can have only integer rational roots dividing its constant term.

A quasi-steady approximation neglects a field's time derivative because that field relaxes much faster than the variables that drive it. The rapidly adjusting field then satisfies a steady equation with the slow variables treated as instantaneous parameters.

A nonzero number $T$ is a period of a function $f$ when $f(x+T)=f(x)$ throughout its domain.

The nilradical of a commutative ring is its ideal of nilpotent elements, equivalently the radical of an ideal applied to its zero ideal.

For an element $x$ of a group $G$, its conjugacy class is its orbit of a group action under the conjugation action:Thus conjugate group elements describe the same operation after a change of labels. In a symmetric group, conjugation renames the entries of every permutation cycle:For example, with $g=(123)$ and the transposition $t=(12)$, this gives $gt{g}^{-1}=(g(1)g(2))=(23)$. Products use function composition of permutations, with the rightmost factor applied first. The complete six-element example is conjugacy classes of the symmetric group on three letters.

The conjugacy classes form a partition of a set of $G$, since conjugacy is an equivalence relation. In a symmetric group, two permutations lie in the same conjugacy class precisely when they have the same cycle type: renaming preserves the lengths of permutation cycles, and matching equal-length permutation cycles constructs a renaming in the other direction. This compresses many labelled permutations into a few structural types. See McKernan, Conjugation in Sn, lemma 6.2 and proposition 6.6.

The stabilizer subgroup of $x$ under the conjugation action is its centralizer $C_G(x)$. Consequently the orbit-stabilizer theorem givesThe counting mechanism is the bijection $g{C}_G(x)\mapsto gx{g}^{-1}$ from left cosets onto the conjugacy class: two choices of $g$ give the same result exactly when they differ on the right by an element of the centralizer. A large centralizer means many choices of labels leave the operation unchanged, hence a small conjugacy class. A conjugacy class has size one precisely when its element belongs to the center of a group. The class equation counts these orbits of a group action together.

The Chinese remainder theorem says that remainders modulo pairwise coprime positive integers can be specified independently. For $m_1,\dots ,m_r$ pairwise coprime and $M=m_1\cdots m_r$, every prescribed list $a_1,\dots ,a_r$ determines one congruence class modulo $M$ satisfying $x\equiv a_j(\mathrm{mod}{m}_j)$ for all $j$. It determines a class, rather than one unrestricted integer: adding a multiple of $M$ preserves every remainder.

For example, combine $x\equiv 2(\mathrm{mod}3)$ and $x\equiv 3(\mathrm{mod}5)$. Write $x=2+3k$ from the first condition. The second becomes $3k\equiv 1(\mathrm{mod}5)$. Since three has modular inverse two modulo five, $k\equiv 2(\mathrm{mod}5)$, giving $x\equiv 8(\mathrm{mod}15)$. The integers $8$, $23$ and $-7$ all work. The fifteen possibilities modulo fifteen correspond to the fifteen pairs in a three-by-five grid.

The theorem also preserves arithmetic: reducing an addition or a multiplication modulo each $m_j$ gives the same tuple as performing that operation on the corresponding congruence classes. In the language of quotient rings, reduction is a ring isomorphismOne large residue is thus an exact encoding of several smaller residues. This is useful for splitting arithmetic into smaller calculations and then reconstructing the result; MIT's modular arithmetic notes develop both the reconstruction and the product representation. ^[ref] For a concrete multiplication, $7$ corresponds to $(1,2)$ and $8$ to $(2,3)$ modulo $(3,5)$. Their componentwise product is $(2,1)$, which reconstructs to $11(\mathrm{mod}15)$, agreeing with $56\equiv 11(\mathrm{mod}15)$.

A constructive formula explains the independence. For $m_j>1$, put $M_j=M/m_j$ and choose $u_j$ with $M_j{u}_j\equiv 1(\mathrm{mod}{m}_j)$, using a modular multiplicative inverse. Then $e_j=M_j{u}_j$ is one modulo $m_j$ and zero modulo every other $m_i$. Thereforehas the desired remainders. A modulus equal to one imposes no restriction and can be omitted. Uniqueness follows because a difference divisible by every $m_j$ is divisible by their product when they are pairwise coprime. This short construction gives a reusable algorithm as well as an existence statement.

The coprime hypothesis explains why every cell in the left grid is attainable. With integer moduli six and eight, a pair must agree modulo their greatest common divisor, two. There are twenty-four compatible pairs, rather than forty-eight arbitrary pairs; each corresponds to a class modulo the least common multiple, twenty-four. The Chinese remainder theorem for noncoprime moduli states the resulting compatibility rule.

Every square matrix satisfies its own characteristic polynomial. More explicitly, for an $n$-by-$n$ matrix $A$ over a commutative ring with identity, formThenHere $0$ is the zero matrix, and the constant term multiplies the identity matrix. This is a polynomial evaluated at a matrix; it is stronger than saying that each eigenvalue is a root of a polynomial. Neither diagonalizability nor distinct eigenvalues is required.^[ref]

The practical payoff is that arbitrarily high matrix powers can be reduced to a combination of $I,A,\dots ,A^{n-1}$. These powers arise when repeatedly applying a linear map, solving a linear recurrence relation, or evolving a finite state space model. The characteristic polynomial turns that repeated action into a fixed-order scalar recurrence. The minimal polynomial may reduce the number of required powers further.

The Basel problem asks for the exact sum of the reciprocal squares of the positive integers. The answer isThe integral test proves that the series converges, but does not identify this exact value. The Euler evaluation of even zeta values does: the equally spaced poles of cotangent connect reciprocal integer powers to Bernoulli numbers and $\pi$. This separates three different questions: whether a sum exists, how well a partial sum approximates it, and what its exact value is.

For example, the ten-term partial sum is about $1.549768$, while the exact value is about $1.644934$. The zeta series truncation error bounds the missing amount between $1/11$ and $1/10$; it is much larger than the first omitted term $1/121$. More terms improve the approximation, but a numerical coincidence with ${\pi }^2/6$ would not prove the identity.

In On the sums of series of reciprocals by Leonhard Euler, §2 identifies the reciprocal-square sum with one-sixth of the squared circumference of a unit-diameter circle. The translation's publication note dates the presentation to 5 December 1735 and publication to 1740.^[ref] The cotangent coefficient proof of the even zeta values gives a short modern outline, while zeta series truncation error addresses the distinct approximation question.

Infinity denotes unbounded growth or an ideal quantity larger than every finite value; it is not a real number.