📚 CCEA Year 13 Further Mathematics: Quick Reference Formula and Theorem Handbook | CCEA 进阶数学(13年级):公式定理速查手册
This handbook provides a concise summary of essential formulas and theorems for the CCEA Year 13 Further Mathematics course. It is designed as a quick reference for revision, covering key topics from pure mathematics and mechanics. All results are stated in a form suitable for direct application in examinations, with careful attention to standard notation and conditions of validity.
本手册针对 CCEA 13 年级进阶数学课程,对核心公式与定理进行精要总结。它可作为复习速查工具,涵盖纯数学与力学中的重点内容。所有结论均以可直接用于考试的标准化形式呈现,同时特别注明了适用条件与记号规范。
1. Complex Numbers | 复数
A complex number is expressed in Cartesian form as z = a + bi, where a, b ∈ ℝ and i² = -1. The real part is Re(z) = a, and the imaginary part is Im(z) = b.
复数在笛卡尔形式下表示为 z = a + bi,其中 a, b ∈ ℝ 且 i² = -1。其实部 Re(z) = a,虚部 Im(z) = b。
The complex conjugate of z is z* = a - bi. The modulus is |z| = √a² + b², and the argument θ = arg(z) satisfies tanθ = b/a, with due regard to the quadrant.
z 的共轭复数为 z* = a - bi。模为 |z| = √a² + b²,辐角 θ = arg(z) 满足 tanθ = b/a,并需根据象限确定角度。
Euler's formula states eiθ = cosθ + i sinθ. De Moivre's theorem: (cosθ + i sinθ)n = cos(nθ) + i sin(nθ) for integer n.
欧拉公式:eiθ = cosθ + i sinθ。棣莫弗定理:对整数 n,(cosθ + i sinθ)n = cos(nθ) + i sin(nθ)。
The n distinct nth roots of a complex number are given by zk = r1/n [cos((θ+2kπ)/n) + i sin((θ+2kπ)/n)], k = 0,1,…,n-1.
复数的 n 个不同 n 次方根为 zk = r1/n [cos((θ+2kπ)/n) + i sin((θ+2kπ)/n)],k = 0,1,…,n-1。
2. Matrices and Determinants | 矩阵与行列式
) = ad - bc. The inverse A⁻¹ exists if det(A) ≠ 0 and is given by (1/det(A)) [d -b; -c a].
对于 2×2 矩阵 A = [a b; c d],行列式为 det(A) = ad - bc。若 det(A) ≠ 0,则逆矩阵存在,且 A⁻¹ = (1/det(A)) [d -b; -c a]。
The inverse can be found using the adjugate matrix: A⁻¹ = (1/det A) adj A, where adj A = CT (cofactor matrix transposed).
对于 3×3 矩阵,行列式可通过任一行或列展开计算。逆矩阵可用伴随矩阵求得:A⁻¹ = (1/det A) adj A,其中 adj A = CT(余子式矩阵的转置)。
s associative but not commutative in general. The identity matrix I satisfies AI = IA = A.
矩阵乘法满足结合律,但一般不满足交换律。单位矩阵 I 满足 AI = IA = A。
3. Roots of Polynomials | 多项式方程根的关系
a quadratic equation ax² + bx + c = 0 with roots α, β: sum α + β = -b/a, product αβ = c/a.
对于二次方程 ax² + bx + c = 0,根为 α, β:根之和 α + β = -b/a,根之积 αβ = c/a。
For a cubic ax³ + bx² + cx + d = 0 with roots α, β, γ: ∑α = -b/a, ∑αβ = c/a, αβγ = -d/a.
对于三次方程 ax³ + bx² + cx + d = 0,根为 α, β, γ:∑α = -b/a,∑αβ = c/a,αβγ = -d/a。
³ + cx² + dx + e = 0 with roots α, β, γ, δ: ∑α = -b/a, ∑αβ = c/a, ∑αβγ = -d/a, αβγδ = e/a.
对于四次方程 ax⁴ + bx³ + cx² + dx + e = 0,根为 α, β, γ, δ:∑α = -b/a,∑αβ = c/a,∑αβγ = -d/a,αβγδ = e/a。
etric expressions involving the roots, such as ∑α² and ∑α²β, without solving the equation.
这些关系可用于求涉及根的对称表达式(如 ∑α²、∑α²β),而无需解方程。
4. Summation of Series | 级数求和
Standard summation formulas for integers r from 1 to n:
r 从 1 到 n 的标准求和公式:
∑r=1n r = n(n+1)/2
∑r=1n r² = n(n+1)(2n+1)/6
∑r=1n r³ = [n(n+1)/2]²
ese can be used to sum polynomial expressions by linearity, e.g. ∑(3r² - 2r) = 3∑r² - 2∑r.
利用线性性质可求多项式表达式的和,例如 ∑(3r² - 2r) = 3∑r² - 2∑r。
5. Proof by Mathematical Induction | 数学归纳法证明
The method of proof by induction consists of three steps: (1) Base case – ify the statement is true for the smallest value (usually n = 1). (2) Inductive hypothesis – assume the statement holds for some arbitrary n = k. (3) Inductive step – 1, using the assumption. Conclude that the statement is true for all positive integers n.
数学归纳法证明包含三步:(1) 奠基——验证命题对最小的值(通常为 n = 1)成立。(2) 归纳假设——假设命题对某个任意 n = k 成立。(3) 归纳递推——利用该假设证明命题对 n = k + 1 也成立。从而断定命题对所有正整数 n 成立。
This technique is frequently used to verify summation formulas, divisibility results, and matrix powers.
该技巧常用于验证求和公式、整除性质以及矩阵的幂次。
6. Vector Geometry | 向量几何
For two vectors a and b, the scalar (dot) product is a · b = |a||b| component form, if a = (a₁, a₂, a₃) and b = (b₁, b₂, b₃), then a · b = a₁b₁ + a₂b₂ + a₃b₃.
对于两个向量 a 和 b,数量积(点积)为 a · b = |a||b| cosθ,其中 θ 为两向量夹角。若 a = (a₁, a₂, a₃) 且 b = (b₁, b₂, b₃),则 a · b = a₁b₁ + a₂b₂ + a₃b₃。
vector (cross) product a × b yields a vector perpendicular to both a and b, with magnitude |a × b| = |a||b| sinθ. In component form: a × b = (a₂b₃ - a₃b₂, a₃b₁ - a₁b₃, a₁b₂ - a₂b₁).
向量积(叉积) a × b 得到一个同时垂直于 a 和 b 的向量,其模为 |a × b| = |a||b| sinθ。坐标形式:a × b = (a₂b₃ - a₃b₂, a₃b₁ - a₁b₃, a₁b₂ - a₂b₁)。
d is r = a + λd. The equation of a plane through A with normal vector n is r · n = a · n.
过点 A(位置向量 a)且平行于方向向量 d 的直线方程为 r = a + λd。过点 A 且法向量为 n 的平面方程为 r · n = a · n。
7. Further Calculus – Volumes of Revolution | 进阶微积分——旋转体体积
and x = b is rotated completely about the x-axis, the volume generated is given by V = π ∫ab y² dx.
由曲线 y = f(x)、x 轴、x = a 与 x = b 围成的区域绕 x 轴旋转一周所得的体积为 V = π ∫ab y² dx。
= x(t), y = y(t) for t from t₁ to t₂, the volume of revolution about the x-axis is V = π ∫t₁t₂ y² (dx/dt) dt.
若曲线由参数方程 x = x(t), y = y(t) 定义,t 从 t₁ 到 t₂,则绕 x 轴旋转的体积为 V = π ∫t₁t₂ y² (dx/dt) dt。
For rotation about the y-axis, analogous formulas apply with x² dy when x is expressed as a function of y.
绕 y 轴旋转时,当 x 可表示为 y 的函数,可使用类似公式 V = π ∫ x² dy。
8. Maclaurin Series Expansions | 麦克劳林级数展开
The Maclaurin series for a function f(x) is f(x) = f(0) + f'(0)x + f''(0)x²/2! + … + f(n)(0)xn/n! + …, valid for |x| within the radius of convergence.
函数 f(x) 的麦克劳林级数为 f(x) = f(0) + f'(0)x + f''(0)x²/2! + … + f(n)(0)xn/n! + …,在收敛半径内的 x 成立。
Standard series to memorise (all valid for all x unless stated):
需记忆的标准展开式(除另行说明均对所有 x 有效):
ex = 1 + x + x²/2! + x³/3! + …
sin x = x - x³/3! + x⁵/5! - …
cos x = 1 - x²/2! + x⁴/4! - …
ln(1 + x) = x - x²/2 + x³/3 - x⁴/4 + … (|x| < 1, x ≠ -1)
(1 + x)n = 1 + nx + n(n-1)x²/2! + … (|x| < 1, n ∈ ℝ)
These expansions can be used to approximate functions and to evaluate limits.
这些展开式可用于函数的近似计算与极限求解。
9. Trigonometric Identities and Equations | 三角恒等式与方程
Fundamental identities: sin²θ + cos²θ = 1; 1 + tan²θ = sec²θ; 1 + cot²θ = csc²θ.
基本恒等式:sin²θ + cos²θ = 1;1 + tan²θ = sec²θ;1 + cot²θ = csc²θ。
Compound angle formulas: sin(A ± B) = sinA cosB ± cosA sinB; cos(A ± B) = cosA cosB ∓ sinA sinB; tan(A ± B) = (tanA ± tanB) / (1 ∓ tanA tanB).
和角公式:sin(A ± B) = sinA cosB ± cosA sinB;cos(A ± B) = cosA cosB ∓ sinA sinB;tan(A ± B) = (tanA ± tanB) / (1 ∓ tanA tanB)。
2 sinθ cosθ; cos2θ = cos²θ - sin²θ = 2cos²θ - 1 = 1 - 2sin²θ; tan2θ = 2tanθ / (1 - tan²θ).
倍角公式:sin2θ = 2 sinθ cosθ;cos2θ = cos²θ - sin²θ = 2cos²θ - 1 = 1 - 2sin²θ;tan2θ = 2tanθ / (1 - tan²θ)。
= 2 sin((A+B)/2) cos((A-B)/2), etc. These are useful for solving trigonometric equations.
和差化积公式:sinA + sinB = 2 sin((A+B)/2) cos((A-B)/2) 等,这些在解三角方程时非常有用。
10. Mechanics: Constant Acceleration (SUVAT) | 力学:匀加速直线运动
For motion in a straight line with constant acceleration a, initial velocity u, final velocity v, displacement s, and time t, the five SUVAT equations are:
对于恒定加速度 a 的直线运动,初速度 u、末速度 v、位移 s、时间 t,五个 SUVAT 方程为:
v = u + at
s = ut + ½ at²
s = ½ (u + v)t
v² = u² + 2as
s = vt - ½ at²
All quantities are vectors; signs must be assigned consistently for a chosen positive direction.
所有量均为矢量;需选定正方向并一致使用符号。
11. Mechanics: Forces and Newton’s Laws | 力学:力与牛顿定律
Newton' t force on an object equals its mass times acceleration: F = ma, where F is the net force.
牛顿第二定律:物体所受合外力等于其质量与加速度的乘积:F = ma,其中 F 为合力。
ownwards. The normal reaction R is the force exerted by a surface perpendicular to itself.
重力为 W = mg,方向竖直向下。法向反力 R 是表面对物体垂直于接触面施加的力。
Maximum static friction (limiting friction) is given by Fmax ction. Kinetic friction is often approximated as constant and equal to μR after motion begins.
最大静摩擦力(极限摩擦力)为 Fmax = μR,其中 μ 为摩擦系数。滑动摩擦力通常近似为常数,运动开始后仍等于 μR。
e = change in momentum: I = Ft = mv - mu. Both momentum and impulse are vector quantities.
动量为 p = mv。冲量等于动量的变化:I = Ft = mv - mu。动量和冲量均为矢量。
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