The nth Roots of Unity | 复数单位根

📚 The nth Roots of Unity | 复数单位根

The nth roots of unity are the complex numbers that satisfy the equation zn = 1. They form a beautiful link between algebra, geometry and trigonometry, and are a core topic in AQA A-level further mathematics.

复数单位根是满足方程 zn = 1 的复数。它们将代数、几何与三角学优美地联系起来,是 AQA A-level 进阶数学的核心内容。


1. Definition | 定义

For a positive integer n, an nth root of unity is any complex number z such that zn = 1. Because the modulus of 1 is 1, every such root must have modulus 1.

对于正整数 n,若复数 z 满足 zn = 1,则称 z 为 n 次单位根。由于 1 的模为 1,每个这样的根都必须满足模为 1。

By the Fundamental Theorem of Algebra, the equation zn = 1 has exactly n complex roots, counting multiplicity. These roots are distinct for positive integer n.

根据代数基本定理,方程 zn = 1 恰好有 n 个复数根(按重数计)。当 n 为正整数时,这些根互不相同。

Each root lies on the unit circle in the Argand diagram, because the product of a complex number and its conjugate gives its squared modulus.

每个根都位于阿甘图(复平面)中的单位圆上,因为复数与其共轭相乘得到其模的平方。


2. Solving zn = 1 | 解方程 zn = 1

We write z in modulus-argument form: z = r(cos θ + i sin θ). Since zn = rn(cos nθ + i sin nθ) by de Moivre’s theorem, we require rn = 1 and nθ ≡ 0 (mod 2π).

我们将 z 写成模辐角形式:z = r(cos θ + i sin θ)。根据棣莫弗定理,zn = rn(cos nθ + i sin nθ),因此需要 rn = 1 且 nθ ≡ 0 (mod 2π)。

Since r is a positive real number, r = 1. The argument equation gives θ = 2kπ/n for k = 0, 1, …, n−1.

因为 r 为正实数,所以 r = 1。辐角方程给出 θ = 2kπ/n,其中 k = 0, 1, …, n−1。

z = cos(2kπ/n) + i sin(2kπ/n) = e2kπi/n, k = 0, 1, …, n−1

This explicit formula is the basis of every problem involving roots of unity.

这个显式公式是处理一切单位根问题的基础。


3. Unit Circle and Regular Polygons | 单位圆与正多边形

The n roots of unity all have modulus 1, so they lie on the unit circle with equally spaced arguments 2π/n apart.

n 次单位根的模都为 1,因此它们位于单位圆上,相邻辐角间隔均为 2π/n。

Connecting the points in order produces a regular n-gon inscribed in the unit circle. One vertex is always at (1, 0).

按顺序连接这些点,就得到单位圆的内接正 n 边形,其中一个顶点始终在 (1, 0) 处。

For example, the fourth roots of unity are 1, i, −1, −i, which form a square. The sixth roots form a regular hexagon.

例如,四次单位根为 1, i, −1, −i,构成一个正方形;六次单位根构成正六边形。

This geometric view helps you remember the roots quickly, instead of memorising separate values.

这种几何观点能帮助你快速记住各根,而不必单独记忆每个数值。


4. Sum and Product of the Roots | 根的和与积

For the equation zn = 1, the coefficient of zn−1 is zero. By Vieta’s formulas, the sum of all n roots is 0.

对方程 zn = 1,zn−1 的系数为 0。由韦达定理,所有 n 个根之和为 0。

The product of the roots is (−1)n+1 times the constant term. For zn − 1 = 0, the product equals (−1)n+1(−1) = (−1)n−1.

根的乘积等于常数项乘以 (−1)n+1。对于 zn − 1 = 0,乘积等于 (−1)n+1(−1) = (−1)n−1

Sum = 0, Product = (−1)n−1

When n is odd, the product is 1; when n is even, the product is −1. These facts are often tested in AQA exam questions.

当 n 为奇数时,乘积为 1;当 n 为偶数时,乘积为 −1。这些结论在 AQA 考试中常被考查。


5. Primitive Roots of Unity | 本原单位根

An nth root of unity ω is called primitive if ωk ≠ 1 for every positive integer k < n. In other words, no smaller power of ω equals 1.

若 n 次单位根 ω 满足对所有小于 n 的正整数 k 都有 ωk ≠ 1,则称 ω 为 n 次本原单位根。换句话说,ω 的任何更低次幂都不等于 1。

Using the exponential form ω = e2kπi/n, the root is primitive exactly when gcd(k, n) = 1.

利用指数形式 ω = e2kπi/n,该根是本原的当且仅当 gcd(k, n) = 1。

The number of primitive nth roots equals φ(n), where φ is Euler’s totient function. For example, when n = 6, the primitive roots are eπi/3 and e5πi/3, since 1 and −1 satisfy x2 = 1 or x3 = 1 already.

本原 n 次单位根的个数等于 φ(n),其中 φ 是欧拉函数。例如 n = 6 时,本原根为 eπi/3 和 e5πi/3,因为 1 和 −1 已经满足 x2 = 1 或 x3 = 1。


6. Conjugate Pairs and Real Coefficients | 共轭对与实系数

If z is a root of zn = 1, then its complex conjugate z̄ is also a root, because the coefficients of zn − 1 are real.

若 z 是 zn = 1 的一个根,则其共轭复数 z̄ 也是根,因为 zn − 1 的系数为实数。

For n > 2, roots come in conjugate pairs except for real roots 1 and possibly −1. This helps in factorising real polynomials.

当 n > 2 时,除实根 1 以及可能的 −1 外,其余根总是成对共轭出现。这有助于分解实系数多项式。

For n even: roots are 1, −1 and (n−2)/2 conjugate pairs; for n odd: roots are 1 and (n−1)/2 conjugate pairs

For n even, the non-real roots pair up as e2kπi/n and e−2kπi/n = e2(n−k)πi/n.

当 n 为偶数时,非实根按 e2kπi/n 与 e−2kπi/n = e2(n−k)πi/n 成对出现。


7. Cube Roots of Unity | 三次单位根

The cube roots of unity are the solutions of z3 = 1. By the formula, they are 1, cos(2π/3) + i sin(2π/3), and cos(4π/3) + i sin(4π/3).

三次单位根是方程 z3 = 1 的解。由公式,它们是 1、cos(2π/3) + i sin(2π/3)、cos(4π/3) + i sin(4π/3)。

The second root is usually denoted ω; then the third is ω² because ω³ = 1 and ω ≠ 1.

第二个根通常记为 ω,第三个根为 ω²,因为 ω³ = 1 且 ω ≠ 1。

ω = −½ + (√3/2)i, ω² = −½ − (√3/2)i

Key properties are ω³ = 1, 1 + ω + ω² = 0, and ω̄ = ω². These are used to simplify algebraic expressions.

关键性质为 ω³ = 1、1 + ω + ω² = 0,以及 ω̄ = ω²。这些性质可用于化简代数式。

For example, (1 + ω − ω²)³ = (−2ω²)³ = −8ω⁶ = −8.

例如,(1 + ω − ω²)³ = (−2ω²)³ = −8ω⁶ = −8。


8. Fourth and Sixth Roots | 四次与六次单位根

The fourth roots of unity are the solutions of z⁴ = 1: they are 1, i, −1, −i. Their sum is 0 and their product is −1.

四次单位根是方程 z⁴ = 1 的解:它们是 1, i, −1, −i。它们的和为 0,乘积为 −1。

The sixth roots are the angles 0, π/3, 2π/3, π, 4π/3, 5π/3 on the unit circle. In exponential form they are ekπi/3 for k = 0, …, 5.

六次单位根对应单位圆上的辐角 0, π/3, 2π/3, π, 4π/3, 5π/3。用指数形式写作 ekπi/3,k = 0, …, 5。

Notice that the fourth roots are a subset of the eighth roots, and the cube roots are a subset of the sixth roots. In general, if d divides n, the dth roots are included among the nth roots.

注意四次根是八次根的子集,三次根是六次根的子集。一般地,若 d 整除 n,则 d 次单位根都是 n 次单位根的子集。

This subset relationship follows because if zd = 1, then zn = (zd)n/d = 1.

这个子集关系是因为若 zd = 1,则 zn = (zd)n/d = 1。


9. Factorising Polynomials | 因式分解

Knowing the roots of unity allows us to factorise zn − 1 over different number systems.

知道单位根使我们能在不同数系中分解 zn − 1。

Over the complex numbers, zn − 1 = (z − 1)(z − ω)(z − ω²)⋯(z − ωn−1), where ω = e2πi/n.

在复数范围内,zn − 1 = (z − 1)(z − ω)(z − ω²)⋯(z − ωn−1),其中 ω = e2πi/n

Over the real numbers, non-real conjugate pairs combine into quadratic factors. For example, z⁴ − 1 = (z − 1)(z + 1)(z² + 1).

在实数范围内,共轭非实根对合并为二次因式。例如,z⁴ − 1 = (z − 1)(z + 1)(z² + 1)。

z⁶ − 1 = (z − 1)(z + 1)(z² + z + 1)(z² − z + 1)

This factorisation follows by grouping conjugate roots: e±πi/3 and e±2πi/3.

该分解通过对共轭根 e±πi/3 和 e±2πi/3 配对而得到。


10. Geometric Transformations | 几何变换

Multiplication by an nth root of unity rotates the complex plane by 2π/n. Repeated multiplication cycles through all the roots.

乘以 n 次单位根相当于将复平面旋转 2π/n。不断重复乘法会在所有根之间循环。

If z is any non-zero complex number, then z, zω, zω², …, zωn−1 form the vertices of a regular n-gon centred at the origin.

若 z 是任意非零复数,则 z, zω, zω², …, zωn−1 构成以原点为中心的正 n 边形的顶点。

This idea is used in problems about roots of polynomial equations: if a polynomial has coefficients that are invariant under rotation, its roots often include roots of unity.

这个思想常用于多项式方程根的问题:若多项式的系数在旋转下保持不变,其根常包含单位根。

For instance, the roots of z⁵ = 32 are five equally spaced points on the circle radius 2: 2e2kπi/5.

例如,z⁵ = 32 的根是半径为 2 的圆上五个等距点:2e2kπi/5


11. Exam Pitfalls and Key Facts | 考试易错点与关键事实

Common mistake: forgetting that 1 is always a root. The root for k = 0 is 1, never omit it.

常见错误:忘记 1 始终是一个根。k = 0 对应的根就是 1,不要遗漏。

Common mistake: using θ = 2kπ/n instead of 2kπ/n in degrees? Always use radians in A-level complex number work.

常见错误:误用 θ = 2kπ/n 时忘记本题使用弧度制。A-level 复数运算中一律使用弧度。

Key facts: the sum of all roots is 0; the product is (−1)n−1; every primitive root generates all roots as powers.

关键事实:所有根之和为 0;乘积为 (−1)n−1;每个本原根的幂可以生成所有根。

Also remember: if ω is a primitive nth root, then the full set of roots is 1, ω, ω², …, ωn−1.

还要记住:若 ω 是 n 次本原单位根,则全部根为 1, ω, ω², …, ωn−1


12. Conclusion | 总结

The nth roots of unity tie together complex numbers, trigonometry and geometry. Mastering the formula z = e2kπi/n and the two key sums is essential.

复数单位根将复数、三角学与几何紧密联系起来。掌握公式 z = e2kπi/n 以及两个关键求和至关重要。

Practice sketching regular polygons, computing primitive roots, and factorising zn − 1 to build confidence for AQA exam questions.

通过练习绘制正多边形、计算本原根以及分解 zn − 1,可以为 AQA 考试建立信心。

With these tools, problems that initially look abstract become quick, visual and predictable.

掌握这些工具后,原本抽象的题目会变得快速、直观且可预测。

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