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Year 11 Eduqas Further Maths: Formulae & Theorems Quick Reference Guide | Year 11 Eduqas 进阶数学:公式定理速查手册

📚 Year 11 Eduqas Further Maths: Formulae & Theorems Quick Reference Guide | Year 11 Eduqas 进阶数学:公式定理速查手册

This quick reference guide compiles all essential formulae and theorems for the Year 11 Eduqas Level 2 Certificate in Further Mathematics. Use it as a revision checklist to master algebra, trigonometry, calculus, matrices, vectors and coordinate geometry.

本速查手册汇总了 Year 11 Eduqas 进阶数学(Level 2 Certificate)所有核心公式与定理。可用作复习清单,帮助你掌握代数、三角、微积分、矩阵、向量和坐标几何。

1. Algebraic Manipulation & Solving Equations | 代数操作与解方程

Quadratic Formula: For ax² + bx + c = 0, the solutions are x = (-b ± √(b² – 4ac)) / (2a). The discriminant Δ = b² – 4ac tells you about the roots: Δ > 0 gives two distinct real roots; Δ = 0 gives one repeated real root; Δ < 0 gives no real roots.

二次公式:对于 ax² + bx + c = 0,解为 x = (-b ± √(b² – 4ac)) / (2a)。判别式 Δ = b² – 4ac:Δ > 0 有两个不同实根;Δ = 0 有一个重根;Δ < 0 无实根。

Simultaneous Equations: Solve a linear and a quadratic equation by substitution. Rearrange the linear equation to express one variable in terms of the other, substitute into the quadratic and solve.

联立方程:一个线性和一个二次方程通常用代入法:将线性方程改写为 y = … 或 x = …,代入二次方程后求解。

Algebraic Fractions: To add or subtract, find a common denominator: a/b + c/d = (ad + bc) / bd. Always simplify the final expression.

代数分式:加减法通分:a/b + c/d = (ad + bc) / bd,最后化简。


2. Polynomial Theorems: Factor & Remainder | 因式定理与余式定理

Remainder Theorem: When a polynomial f(x) is divided by (x − a), the remainder is f(a). For division by (ax − b), the remainder is f(b/a).

余式定理:多项式 f(x) 除以 (x − a) 的余数为 f(a);除以 (ax − b) 的余数为 f(b/a)。

Factor Theorem: (x − a) is a factor of f(x) if and only if f(a) = 0. This is used to factorise cubic polynomials and solve equations.

因式定理:(x − a) 是 f(x) 的因式当且仅当 f(a) = 0。用于分解三次多项式并解方程。

Long Division & Synthetic Division: After identifying one factor, divide the polynomial to obtain a quadratic factor, which can then be factorised or solved.

长除法与综合除法:找到一个因式后,通过除法得到二次因式,再因式分解或求解。


3. Binomial Expansion | 二项式展开

Pascal’s Triangle & nCr: (a + b)ⁿ = aⁿ + (¹C₁) aⁿ⁻¹b + (¹C₂) aⁿ⁻²b² + … + bⁿ, where (¹Cr) = n! / [r! (n − r)!]. For n ≤ 5 you may use Pascal’s triangle directly.

帕斯卡三角形与组合数:(a + b)ⁿ 展开使用 nCr 系数,nCr = n! / [r! (n − r)!]。n ≤ 5 时可直用帕斯卡三角形。

Finding a Specific Term: The (r + 1)th term in the expansion of (a + b)ⁿ is (¹Cr) aⁿ⁻ʳ bʳ.

指定项的求法:(a + b)ⁿ 展开中第 (r + 1) 项为 (¹Cr) aⁿ⁻ʳ bʳ。

Applications: Use expansions to approximate powers, e.g. (1 + x)ⁿ ≈ 1 + nx for small x.

应用:用展开式近似计算,如对小量 x,(1 + x)ⁿ ≈ 1 + nx。


4. Trigonometric Functions & Exact Values | 三角函数与精确值

Exact Values Table (sin θ, cos θ, tan θ):

精确值表:

θ (°) sin θ cos θ tan θ
0 1 0
30° ½ √3/2 1/√3
45° 1/√2 1/√2 1
60° √3/2 ½ √3
90° 1 0 undefined

Graphs of sin, cos and tan: sin θ and cos θ have period 360°, amplitude 1. tan θ has period 180° and vertical asymptotes at θ = 90°, 270°, etc.

三角函数图像:sin θ 和 cos θ 的周期为 360°,振幅 1。tan θ 的周期为 180°,在 θ = 90°, 270° 等处有垂直渐近线。


5. Trigonometric Identities & Equations | 三角恒等式与方程

Pythagorean Identity: sin²θ + cos²θ ≡ 1. This can be rearranged: sin²θ = 1 − cos²θ, cos²θ = 1 − sin²θ.

勾股恒等式:sin²θ + cos²θ ≡ 1,可变形为 sin²θ = 1 − cos²θ 或 cos²θ = 1 − sin²θ。

Tangent Identity: tanθ ≡ sinθ / cosθ.

正切恒等式:tanθ ≡ sinθ / cosθ。

Solving Trig Equations: If sinθ = k, first find the principal value α = sin⁻¹(k). Then, for 0° ≤ θ ≤ 360°, θ = α or θ = 180° − α (sin); for cos, θ = α or θ = 360° − α; for tan, θ = α or θ = α + 180°. Always adjust for the given interval.

解三角方程:若 sinθ = k,先求主值 α = sin⁻¹(k)。在 0°–360° 内,sin 的解为 θ = α 或 θ = 180° − α;cos 的解为 θ = α 或 θ = 360° − α;tan 的解为 θ = α 或 θ = α + 180°,并限制在给定区间内。


6. Differentiation Rules & Applications | 微分规则与应用

Basic Rule: If y = xⁿ, then dy/dx = nxⁿ⁻¹. [e.g. d/dx (x³) = 3x²].

基本法则:y = xⁿ ⇒ dy/dx = nxⁿ⁻¹。

Sum/Difference and Constant Multiple: d/dx [f(x) ± g(x)] = f ‘(x) ± g'(x); d/dx [k f(x)] = k f ‘(x).

和差与常数倍:d/dx [f(x) ± g(x)] = f ‘(x) ± g'(x);d/dx [k f(x)] = k f ‘(x)。

Equation of a Tangent: Gradient m = dy/dx at the point (x₁, y₁). Tangent equation: y − y₁ = m(x − x₁).

切线方程:在 (x₁, y₁) 处斜率 m = dy/dx,切线为 y − y₁ = m(x − x₁)。

Stationary Points: Solve dy/dx = 0 to find x-coordinates. Nature: compute d²y/dx²; if > 0, minimum; if < 0, maximum; if = 0, could be a point of inflection (check sign change of dy/dx).

驻点:解 dy/dx = 0 得 x 坐标。用二阶导数 d²y/dx² 判断:> 0 为极小;< 0 为极大;= 0 可能为拐点,需检查一阶导数符号变化。


7. Integration – Basics & Area | 积分基础与面积

Indefinite Integration: ∫ xⁿ dx = xⁿ⁺¹ / (n + 1) + C, for n ≠ −1. Remember the constant of integration.

不定积分:∫ xⁿ dx = xⁿ⁺¹ / (n + 1) + C(n ≠ −1),勿忘积分常数。

Definite Integration and Area: ∫ₐᵇ f(x) dx = [F(x)]ₐᵇ = F(b) − F(a). This gives the signed area between the curve y = f(x), the x-axis and the lines x = a, x = b.

定积分与面积:∫ₐᵇ f(x) dx = [F(x)]ₐᵇ = F(b) − F(a),表示曲线、x轴、x=a、x=b 所围的带号面积。

Area Between a Curve and a Line: Subtract the lower function from the upper function and integrate: ∫ (top − bottom) dx.

曲线与直线间的面积:用上减下积分:∫ (上函数 − 下函数) dx。

Trapezium Rule (optional but useful): ∫ₐᵇ f(x) dx ≈ h/2 [y₀ + y&subn; + 2(y₁ + y₂ + … + y&subn;−₁)], where h = (b − a)/n.

梯形法则(拓展):∫ₐᵇ f(x) dx ≈ h/2 [y₀ + y&subn; + 2(y₁ + … + y&subn;−₁)],h = (b − a)/n。


8. Matrices: Operations & Inverses | 矩阵运算与逆矩阵

Order and Multiplication: An m × n matrix has m rows, n columns. Two matrices can be multiplied if the number of columns of the first equals the number of rows of the second.

阶与乘法:m × n 矩阵有 m 行 n 列。相乘要求左矩阵列数等于右矩阵行数。

Determinant of a 2×2 Matrix: If A = [[a, b], [c, d]], then det(A) = ad − bc.

2 × 2 矩阵行列式:A = [[a, b], [c, d]],det(A) = ad − bc。

Inverse: If det(A) ≠ 0, A⁻¹ = 1/det(A) [[d, −b], [−c, a]].

逆矩阵:若 det(A) ≠ 0,A⁻¹ = 1/det(A) [[d, −b], [−c, a]]。

Solving Simultaneous Equations Using Matrices: Write equations as AX = B, then X = A⁻¹B.

用矩阵解联立方程组:写成 AX = B 形式,则 X = A⁻¹B。

Matrix Transformations: Common transformations of the unit square: rotation by θ: [[cosθ, −sinθ], [sinθ, cosθ]]; reflection in x-axis: [[1, 0], [0, −1]]; enlargement scale factor k: [[k, 0], [0, k]].

矩阵变换:单位正方形的常见变换:旋转 θ:[[cosθ, −sinθ], [sinθ, cosθ]];x 轴反射:[[1, 0], [0, −1]];放大 k 倍:[[k, 0], [0, k]]。


9. Vectors in 2D | 二维向量

Column and Component Forms: A vector a can be written as a = xi + yj = (x, y) or in column form [[x], [y]].

列向量与分量:向量 a = xi + yj = (x, y),也可写成列向量 [[x], [y]]。

Magnitude: |a| = √(x² + y²).

模长:|a| = √(x² + y²)。

Addition and Scalar Multiplication: a + b = (x₁+x₂)i + (y₁+y₂)j; ka = (kx)i + (ky)j.

加法与标量乘法:a + b = (x₁+x₂)i + (y₁+y₂)j;ka = (kx)i + (ky)j。

Parallel Vectors: Vectors a and b are parallel if b = ka for some scalar k ≠ 0.

平行向量:若存在 k ≠ 0 使 b = ka,则 a 与 b 平行。


10. Sequences & the nth Term | 数列与通项公式

Linear Sequences: nth term = an + b, where a is the first difference. Find a from the difference and b by substituting n = 1.

线性数列:通项 u&subn; = an + b,其中 a 是一阶差分。通过差分和首项确定 a, b。

Quadratic Sequences: nth term = an² + bn + c. The second difference is constant and equal to 2a. Use the first few terms to set up equations or use a general method.

二次数列:通项 u&subn; = an² + bn + c。二阶差分为常数 2a,再通过前几项列方程求解 b, c。

Limiting Value: Some sequences approach a limit L. For a sequence defined by a recurrence relation, set u&subn;+1; = u&subn; = L and solve for L, provided the sequence converges.

极限值:有些数列趋于极限 L。若数列由递推关系定义,可令 u&subn;+1; = u&subn; = L 求解(需保证收敛)。


11. Coordinate Geometry: Lines & Circles | 坐标几何:直线与圆

Gradient and Straight Line: Gradient m = (y₂ − y₁) / (x₂ − x₁). Equation: y − y₁ = m(x − x₁) or y = mx + c.

斜率与直线:

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