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Edexcel A Level Maths: Differentiation Core Skills | 爱德思A-Level数学:微分核心技能

2026-08-29 18:01 · 本文部分内容由AI辅助创作

📚 Edexcel A Level Maths: Differentiation Core Skills | 爱德思A-Level数学:微分核心技能

Differentiation is one of the two central ideas in calculus, alongside integration. At A-level, Edexcel students use differentiation to find gradients of curves, rates of change, equations of tangents and normals, stationary points, and acceleration in kinematics.

微分与积分是微积分中的两大核心思想。在 A-level 阶段,爱德思考生利用微分来求曲线斜率、变化率、切线与法线方程、驻点以及运动学中的加速度。

This revision guide covers the key methods and exam techniques required for the Edexcel Pure Mathematics specification. The focus is on clean notation, first-principles work, and reliable classification of stationary points.

本复习指南涵盖爱德思纯数学考试所需的关键方法与考试技巧,重点在于清晰的记号、第一原理运算以及驻点的可靠分类。


1. Gradient of a Curve and Limits | 曲线的梯度与极限

A straight-line graph has a constant gradient, but most curves do not. The gradient of a curve at a point is the gradient of the tangent to the curve at that point. To find this gradient precisely, we use a limiting process.

直线图像的梯度是常数,但大多数曲线的梯度不是。曲线上某一点的梯度就是该点切线的梯度。为了精确求出这个梯度,我们需要使用极限过程。

nd point moves closer to the first, the chord becomes a better approximation to the tangent. The limiting value of the chord's gradient is the derivative.

考虑连接曲线 y = f(x) 上两个邻近点的弦。当第二个点向第一个点无限靠近时,弦越来越接近切线。弦的斜率的极限值就是导数。

slope of chord = [f(x + h) − f(x)] / h


2. Differentiation from First Principles | 从第一原理求导

on from first principles uses the limit definition. If f(x) is differentiable at x, then f'(x) = limₕ→₀ [f(x + h) − f(x)] / h, provided this limit exists.

从第一原理求导使用极限定义。如果 f(x) 在 x 处可导,那么 f'(x) = limₕ→₀ [f(x + h) − f(x)] / h,前提是该极限存在。

nd (x + h)² = x² + 2xh + h², subtract x², divide by h, and let h tend to 0. This gives 2x.

从第一原理对 x² 求导时,展开 (x + h)² = x² + 2xh + h²,减去 x²,再除以 h,并令 h 趋向于 0。这样就得到 2x。

f'(x) = limₕ→₀ (2xh + h²) / h = 2x


3. Derivative Notation | 导数记号

veral common notations for the derivative. If y = f(x), the derivative can be written as f'(x), dy/dx, or d/dx[f(x)]. The notation dy/dx is read as "dy by dx" and emphasises the rate of change of y with respect to x.

导数有几种常见的记号。如果 y = f(x),导数可以写成 f'(x)、dy/dx 或 d/dx[f(x)]。记号 dy/dx 读作 "dy by dx",强调 y 对 x 的变化率。

In mechanics, when differentiating with respect to time t, Newton's dot notation is sometimes used, but dx/dt and d²x/dt² are standard in Edexcel questions. In pure mathematics, f'(x) and dy/dx are the most common forms.

在力学中,对时间 t 求导时有时会使用牛顿的点记号,但爱德思试题中标准写法是 dx/dt 和 d²x/dt²。在纯数学中,f'(x) 和 dy/dx 是最常见的形式。


4. The Power Rule | 幂法则

The power rule states that if f(x) = xⁿ for any real number n, then f' ferentiation and is valid for positive integers, negative integers, and fractional powers.

幂法则指出,如果 f(x) = xⁿ(n 为任意实数),那么 f'(x) = nxⁿ⁻¹。这是初等微分中最重要的法则,适用于正整数、负整数和分数次幂。

For example, d/dx(x⁵) = 5x⁴, d/dx(x⁻²) = −2x⁻³, and d/dx(√x) = 1 / (2√x). Always rewrite roots as powers if this helps you apply the rule consistently.

例如,d/dx(x⁵) = 5x⁴,d/dx(x⁻²) = −2x⁻³,以及 d/dx(√x) = 1 / (2√x)。如果这有助于你一致地应用法则,请始终将根式改写为幂的形式。

If f(x) = xⁿ, then f'(x) = nxⁿ⁻¹


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5. Constant Multiple, Sum and Difference Rules | 常数倍、和与差法则

If f(x) and g(x) are differentiable, then d/dx[af(x) + bg(x)] = a f'(x) + b g' where a and b are constants. This linearity rule allows us to differentiate term by term.

如果 f(x) 和 g(x) 可导,那么 d/dx[af(x) + bg(x)] = a f'(x) + b g'(x),其中 a 和 b 为常数。这条线性法则允许我们逐项求导。

= 3x² + 2x. The derivative of a constant alone is zero because a constant does not change.

常数倍法则:d/dx[5x³] = 15x²。和法则:d/dx[x³ + x²] = 3x² + 2x。常数单独的导数为零,因为常数不变化。


6. Differentiating Polynomials | 多项式求导

e to each term separately. Example: if y = 4x³ − 3x² + 2x − 7, then dy/dx = 12x² − 6x + 2.

对多项式求导时,对每一项分别应用幂法则。例如,如果 y = 4x³ − 3x² + 2x − 7,那么 dy/dx = 12x² − 6x + 2。

Always expand brackets or simplify before differentiating where possible. For products such as (x + 2)(x − 3), expand to x² − x − 6 first, then differentiate to 2x − 1.

在可能的情况下,求导前先展开括号或化简。例如对于乘积 (x + 2)(x − 3),先展开为 x² − x − 6,再求导得到 2x − 1。

y = 4x³ − 3x² + 2x − 7 ⇢ dy/dx = 12x² − 6x + 2


7. Tangents and Normals | 切线与法线

uation of a tangent or normal at a given point. If the curve y = f(x) has derivative m = f'(a) at x = a, then the tangent at (a, f(a)) has gradient m.

一旦求出导数,我们就能求曲线在某点的切线或法线方程。如果曲线 y = f(x) 在 x = a 处的导数为 m = f'(a),那么点 (a, f(a)) 处的切线斜率就是 m。

m ≠ 0. Use the point-gradient form y − y₁ = m(x − x₁) for both the tangent and the normal.

法线垂直于切线,因此其斜率为 −1/m(前提 m ≠ 0)。切线和法线都使用点斜式 y − y₁ = m(x − x₁)。

Tangent: y − y₁ = m(x − x₁); Normal: y − y₁ = (−1/m)(x − x₁)


8. The Second Derivative | 二阶导数

The second derivative is the derivative of the derivative. It is written as f''(x) or d²y/dx². It measures the rate of change of the gradient, often interpreted as acceleration in kinematics.

二阶导数是导数的导数。它写作 f''(x

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