📚 A-Level Eduqas Further Mathematics: Formula & Theorem Quick Reference Handbook | A-Level Eduqas 进阶数学:公式定理速查手册
This concise reference collates the essential formulas, identities, and theorems required for the Eduqas A-Level Further Mathematics specification. It is designed for rapid revision, covering Further Pure, Further Mechanics, and Further Statistics topics. Use it alongside past papers to reinforce your knowledge.
这份精简速查手册汇集了Eduqas A-Level进阶数学考试所需的必备公式、恒等式和定理。它专为快速复习设计,涵盖进阶纯数学、进阶力学和进阶统计模块。请结合历年真题使用,以巩固理解。
1. Complex Numbers | 复数
If z = a + bi, the complex conjugate is z* = a – bi.
若 z = a + bi,则其共轭为 z* = a – bi。
The modulus is |z| = √(a² + b²) and the argument is arg(z) = θ where tanθ = b/a.
模长定义为 |z| = √(a² + b²),辐角 arg(z) = θ 满足 tanθ = b/a。
De Moivre’s theorem: (cosθ + i sinθ)ⁿ = cos(nθ) + i sin(nθ).
棣莫弗定理:(cosθ + i sinθ)ⁿ = cos(nθ) + i sin(nθ)。
The nth roots of unity are given by e^(2πik/n) for k = 0, 1, …, n-1.
n 次单位根由 e^(2πik/n) (k = 0, 1, …, n-1) 给出。
2. Matrices and Linear Transformations | 矩阵与线性变换
For a 2×2 matrix M = [[a, b], [c, d]], the determinant is det(M) = ad – bc.
对于 2×2 矩阵 M = [[a, b], [c, d]],行列式为 det(M) = ad – bc。
The inverse is M⁻¹ = (1/det(M)) [[d, -b], [-c, a]], valid when det(M) ≠ 0.
逆矩阵为 M⁻¹ = (1/det(M)) [[d, -b], [-c, a]],仅在 det(M) ≠ 0 时成立。
Eigenvalues λ satisfy det(M – λI) = 0; eigenvectors v then satisfy (M – λI)v = 0.
特征值 λ 满足 det(M – λI) = 0;之后特征向量 v 满足 (M – λI)v = 0。
A rotation by θ anticlockwise is represented by [[cosθ, -sinθ], [sinθ, cosθ]].
逆时针旋转 θ 的矩阵表示为 [[cosθ, -sinθ], [sinθ, cosθ]]。
3. Further Algebra and Functions | 进阶代数与函数
Sum of roots for cubic ax³ + bx² + cx + d = 0: α + β + γ = -b/a.
三次方程 ax³ + bx² + cx + d = 0 的根之和:α + β + γ = -b/a。
Sum of pairwise products: αβ + βγ + γα = c/a, product: αβγ = -d/a.
两两乘积之和:αβ + βγ + γα = c/a,根之积:αβγ = -d/a。
Standard summation results: Σᵣ₌₁ⁿ r = ½n(n+1), Σr² = ⅙n(n+1)(2n+1), Σr³ = ¼n²(n+1)².
标准求和公式:Σᵣ₌₁ⁿ r = ½n(n+1),Σr² = ⅙n(n+1)(2n+1),Σr³ = ¼n²(n+1)²。
The Maclaurin series expansion: f(x) = f(0) + f'(0)x + f”(0)x²/2! + f”'(0)x³/3! + ….
麦克劳林展开式:f(x) = f(0) + f'(0)x + f”(0)x²/2! + f”'(0)x³/3! + …。
4. Further Calculus | 进阶微积分
Reduction formula for Iₙ = ∫ sinⁿx dx: Iₙ = -1/n sinⁿ⁻¹x cosx + (n-1)/n Iₙ₋₂.
Iₙ = ∫ sinⁿx dx 的递推公式:Iₙ = -1/n sinⁿ⁻¹x cosx + (n-1)/n Iₙ₋₂。
Arc length of a curve y = f(x) from a to b: s = ∫ₐᵇ √(1 + (dy/dx)²) dx.
曲线 y = f(x) 从 a 到 b 的弧长:s = ∫ₐᵇ √(1 + (dy/dx)²) dx。
Surface area of revolution about the x-axis: S = 2π ∫ₐᵇ y √(1 + (dy/dx)²) dx.
绕 x 轴旋转的曲面面积:S = 2π ∫ₐᵇ y √(1 + (dy/dx)²) dx。
Improper integral evaluation requires taking limits, e.g., ∫₁∞ f(x) dx = limₜ→∞ ∫₁ᵗ f(x) dx.
反常积分计算需取极限,例如 ∫₁∞ f(x) dx = limₜ→∞ ∫₁ᵗ f(x) dx。
5. Vectors | 向量
Dot product: a · b = |a||b|cosθ = a₁b₁ + a₂b₂ + a₃b₃.
点积:a · b = |a||b|cosθ = a₁b₁ + a₂b₂ + a₃b₃。
Cross product: a × b = (a₂b₃ – a₃b₂)i – (a₁b₃ – a₃b₁)j + (a₁b₂ – a₂b₁)k.
叉积:a × b = (a₂b₃ – a₃b₂)i – (a₁b₃ – a₃b₁)j + (a₁b₂ – a₂b₁)k。
Vector equation of a line: r = a + t d.
直线向量方程:r = a + t d。
Equation of a plane: r · n = p, where n is the normal vector.
平面方程:r · n = p,其中 n 为法向量。
Distance from point to plane: |(r₀ · n – p)| / |n|.
点到平面距离:|(r₀ · n – p)| / |n|。
6. Polar Coordinates | 极坐标
Polar form: x = r cosθ, y = r sinθ; r = √(x² + y²).
极坐标形式:x = r cosθ, y = r sinθ; r = √(x² + y²)。
Area enclosed by a polar curve r = f(θ): A = ½ ∫ₐᵝ r² dθ.
极坐标曲线 r = f(θ) 所围面积:A = ½ ∫ₐᵝ r² dθ。
Arc length in polar coordinates: s = ∫ₐᵝ √(r² + (dr/dθ)²) dθ.
极坐标下的弧长:s = ∫ₐᵝ √(r² + (dr/dθ)²) dθ。
Common curves: cardioid r = a(1 + cosθ), rose r = a cos(nθ).
常见曲线:心形线 r = a(1 + cosθ),玫瑰线 r = a cos(nθ)。
7. Hyperbolic Functions | 双曲函数
| Function | Definition | Identity |
|---|---|---|
| sinh x | ½(eˣ – e⁻ˣ) | cosh²x – sinh²x = 1 |
| cosh x | ½(eˣ + e⁻ˣ) | sinh(2x) = 2 sinh x cosh x |
| tanh x | sinh x / cosh x | tanh²x + sech²x = 1 |
Derivatives: d/dx (sinh x) = cosh x, d/dx (cosh x) = sinh x, d/dx (tanh x) = sech² x.
导数:d/dx (sinh x) = cosh x,d/dx (cosh x) = sinh x,d/dx (tanh x) = sech² x。
Inverse hyperbolic functions are expressible in logs, e.g., arsinh x = ln(x + √(x² + 1)).
反双曲函数可用对数表示,例如 arsinh x = ln(x + √(x² + 1))。
8. Differential Equations | 微分方程
Separable ODE: dy/dx = g(x)h(y) → ∫ 1/h(y) dy = ∫ g(x) dx.
可分离的一阶常微分方程:dy/dx = g(x)h(y) → ∫ 1/h(y) dy = ∫ g(x) dx。
Integrating factor for linear ODE dy/dx + P(x)y = Q(x): μ = e^(∫ P dx).
线性微分方程 dy/dx + P(x)y = Q(x) 的积分因子:μ = e^(∫ P dx)。
Homogeneous 2nd order with constant coefficients: ay” + by’ + cy = 0.
常系数齐次二阶方程:ay” + by’ + cy = 0。
Auxiliary equation: am² + bm + c = 0; if roots real and distinct, y = Ae^(m₁x) + Be^(m₂x).
辅助方程:am² + bm + c = 0;若根为相异实根,通解为 y = Ae^(m₁x) + Be^(m₂x)。
For repeated root m, y = (A + Bx)e^(mx). For complex roots α ± iβ, y = e^(αx)(A cosβx + B sinβx).
重根 m 时,y = (A + Bx)e^(mx);复根 α ± iβ 时,y = e^(αx)(A cosβx + B sinβx)。
9. Further Mechanics | 进阶力学
Impulse-momentum principle: I = mv – mu, where I = ∫ F dt.
冲量-动量原理:I = mv – mu,其中冲量 I = ∫ F dt。
Work-energy principle: Work done by resultant force = change in kinetic energy (½mv² – ½mu²).
功能原理:合力做的功 = 动能变化量 (½mv² – ½mu²)。
Elastic potential energy stored in a spring: EPE = ½kx², where k is stiffness.
弹簧储存的弹性势能:EPE = ½kx²,k 为劲度系数。
For oblique projectile with initial speed U at angle α: horizontal range = (U² sin2α)/g, max height = (U² sin²α)/(2g).
以初速 U、角度 α 斜抛运动:水平射程 = (U² sin2α)/g,最大高度 = (U² sin²α)/(2g)。
Motion in a circle: radial accel = v²/r = rω²; tangential accel = rα.
圆周运动:径向加速度 = v²/r = rω²;切向加速度 = rα。
10. Further Statistics | 进阶统计
Poisson distribution: X ~ Po(λ), P(X=r) = e^(-λ) λ^r / r!, mean = variance = λ.
泊松分布:X ~ Po(λ),P(X=r) = e^(-λ) λ^r / r!,均值 = 方差 = λ。
Geometric distribution: X ~ Geo(p), P(X=r) = p(1-p)^(r-1) for r=1,2,…; E(X) = 1/p.
几何分布:X ~ Geo(p),对 r=1,2,… 有 P(X=r) = p(1-p)^(r-1);期望 E(X) = 1/p。
Negative binomial: X ~ NB(r, p), P(X=k) = C(k-1, r-1) p^r (1-p)^(k-r) for k = r, r+1,….
负二项分布:X ~ NB(r, p),P(X=k) = C(k-1, r-1) p^r (1-p)^(k-r),k = r, r+1,…。
Chi-squared test statistic: X² = Σ (Oᵢ – Eᵢ)² / Eᵢ; degrees of freedom: (rows-1)(columns-1) for contingency table.
卡方检验统计量:X² = Σ (Oᵢ – Eᵢ)² / Eᵢ;列联表自由度:(行数-1)(列数-1)。
Product moment correlation coefficient: r = S_xy / √(S_xx S_yy).
积矩相关系数:r = S_xy / √(S_xx S_yy)。
Regression line y on x: y = a + bx, where b = S_xy / S_xx and a = ȳ – b x̄.
y 对 x 的回归线:y = a + bx,其中 b = S_xy / S_xx,a = ȳ – b x̄。
11. Numerical Methods | 数值方法
Newton-Raphson iteration: xₙ₊₁ = xₙ – f(xₙ)/f'(xₙ).
牛顿-拉弗森迭代公式:xₙ₊₁ = xₙ – f(xₙ)/f'(xₙ)。
Mid-ordinate rule for approximate integration: ∫ₐᵇ f(x) dx ≈ h Σ f(midpoints), where h = (b-a)/n.
中点规则近似积分:∫ₐᵇ f(x) dx ≈ h Σ f(中点),其中 h = (b-a)/n。
Simpson’s rule: ∫ₐᵇ f(x) dx ≈ h/3 [y₀ + yₙ + 4(y₁+y₃+…) + 2(y₂+y₄+…)], n even.
辛普森法则:∫ₐᵇ f(x) dx ≈ h/3 [y₀ + yₙ + 4(y₁+y₃+…) + 2(y₂+y₄+…)],要求 n 为偶数。
Euler’s method for ODE: yₙ₊₁ = yₙ + h f(xₙ, yₙ).
欧拉法解微分方程:yₙ₊₁ = yₙ + h f(xₙ, yₙ)。
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