一、什么是导数:从直线斜率到曲线切线 | What Is a Derivative: From Straight-Line Slope to Curve Tangent
在进入 AS 数学的求导计算之前,我们必须先理解导数到底在回答什么问题。对于一条直线,斜率是一个固定不变的数:无论你取直线上哪两个点,纵向变化量除以横向变化量得到的结果都一样,这就是我们熟悉的「斜率 = 高度变化 ÷ 水平变化」公式。
Before diving into differentiation rules in AS Maths, we must first understand what a derivative actually answers. For a straight line, the gradient is a single fixed number: whichever two points you choose on the line, the vertical change divided by the horizontal change gives the same result. This is the familiar formula “gradient = rise over run”, written as m = Δy / Δx.
然而,一条曲线的情况完全不同。曲线在每一点的倾斜程度都不一样,例如抛物线 y = x² 在原点附近几乎是平的,但越往右越陡峭。因此,「曲线的斜率」本身没有单一答案,我们需要为曲线上每一个点分别定义一个斜率,这个逐点变化的斜率就是导数。
A curve, however, behaves completely differently. The steepness of a curve changes from point to point. The parabola y = x² is nearly flat near the origin but becomes progressively steeper as we move to the right. So “the gradient of a curve” has no single answer; we need to define a gradient for each individual point on the curve. This point-by-point gradient is exactly what the derivative is.
在几何上,曲线在某一点的导数等于该点切线的斜率。切线是一条刚好「擦过」曲线、只与该点接触而不穿过的直线。如果我们在曲线上取两个靠得很近的点 A 和 B,连接它们的割线会逐渐逼近切线,这个逼近的过程正是微积分思想的起点。
Geometrically, the derivative of a curve at a point equals the slope of the tangent line at that point. A tangent is a straight line that just “grazes” the curve, touching it at that single point without cutting through. If we take two very close points A and B on the curve, the chord joining them gradually approaches the tangent. This limiting process is the very starting point of calculus.
二、从第一性原理求导:极限定义与代数推导 | Differentiation from First Principles: The Limit Definition
从第一性原理(也称「导数的定义」)求导,是所有求导规则的根基。设函数为 y = f(x),我们想求它在 x 处的导数。做法是:取一个很小的增量 h,计算函数值的变化量 f(x+h) – f(x),再除以 h 得到割线的平均变化率,最后让 h 趋近于 0 取极限。
Differentiation from first principles, also called “the definition of the derivative”, is the foundation of every differentiation rule. Suppose we have a function y = f(x) and want its derivative at x. We take a small increment h, compute the change in the function value f(x+h) – f(x), divide by h to get the average rate of change of the chord, and finally let h approach 0 and take the limit.
这个极限用符号写出来就是:f'(x) = lim (h→0) [f(x+h) – f(x)] / h。括号里是割线的斜率,取极限后它变成切线的斜率,也就是导数。注意这里的 h 是一个可以任意小、但不能为 0 的增量,因为除以 0 没有意义。
Written in symbols, this limit is: f'(x) = lim (h→0) [f(x+h) – f(x)] / h. The expression inside the brackets is the gradient of the chord, and after taking the limit it becomes the gradient of the tangent, that is, the derivative. Note that h is an increment that can be made arbitrarily small but can never equal 0, because division by zero is meaningless.
我们用一个具体例子演示。对于 f(x) = x²,代入定义得到 [(x+h)² – x²] / h,展开后是 (x² + 2xh + h² – x²) / h = (2xh + h²) / h。约去一个 h 之后得到 2x + h,最后令 h 趋近 0,就得到 f'(x) = 2x。这个结果说明抛物线 y = x² 在任意点 x 处的切线斜率正好是 2x。
Let us work through a concrete example. For f(x) = x², substituting into the definition gives [(x+h)² – x²] / h. Expanding this yields (x² + 2xh + h² – x²) / h = (2xh + h²) / h. After cancelling one factor of h we obtain 2x + h, and letting h approach 0 gives f'(x) = 2x. This result tells us that the tangent gradient of the parabola y = x² at any point x is exactly 2x.
考试中常见的从第一性原理题目会指定一个具体函数并要求完整展示推导过程。评分标准强调三个关键步骤:正确写出极限定义、正确展开并化简分子、以及明确写出「当 h 趋近 0」的结论。缺少任何一步都会丢失方法分。
Exam questions on first principles typically specify a concrete function and require the full derivation to be shown. The mark scheme emphasises three key steps: writing the limit definition correctly, expanding and simplifying the numerator correctly, and clearly stating the conclusion “as h approaches 0”. Missing any one of these steps costs method marks.
三、幂法则:最快的求导捷径 | The Power Rule: The Fastest Differentiation Shortcut
虽然从第一性原理可以求出任何多项式函数的导数,但在考试中逐题推导太慢。幂法则提供了直接的结果:对于形如 y = xⁿ 的函数,它的导数是 dy/dx = nx^(n-1)。规则很简单:把原来的指数 n 拿到前面作系数,然后把指数减 1。
Although first principles can differentiate any polynomial, working through the limit derivation for every question is far too slow in an exam. The power rule gives the answer directly: for a function of the form y = xⁿ, its derivative is dy/dx = nx^(n-1). The rule is simple: bring the original power n down to the front as a coefficient, then reduce the power by 1.
例如,y = x³ 的导数是 3x²;y = x⁵ 的导数是 5x⁴。特别要注意两个特例:y = x 的导数是 1,因为 x = x¹,按规则得到 1·x⁰ = 1;而常数的导数是 0,因为常数函数是一条水平直线,处处斜率为 0。
For example, the derivative of y = x³ is 3x², and the derivative of y = x⁵ is 5x⁴. Two special cases deserve attention: the derivative of y = x is 1, because x = x¹, and the rule gives 1·x⁰ = 1. The derivative of a constant is 0, because a constant function is a horizontal line whose gradient is 0 everywhere.
幂法则同样适用于分数指数和负指数。x^(1/2)(也就是根号 x)的导数是 (1/2)x^(-1/2);x^(-1)(也就是 1/x)的导数是 -x^(-2)(也就是 -1/x²)。这些规则在 AS 数学中常常出现在化简答案的步骤里,务必熟练掌握。
The power rule works equally well for fractional and negative powers. The derivative of x^(1/2) (that is, the square root of x) is (1/2)x^(-1/2), and the derivative of x^(-1) (that is, 1/x) is -x^(-2), which is -1/x². These rules frequently appear in the simplification step of AS Maths answers, so they must be mastered thoroughly.
四、基本求导规则:和差法则与常数倍法则 | Basic Differentiation Rules: Sum, Difference and Constant Multiple
现实中的函数几乎都不是单个 xⁿ,而是由多个项加减组合而成。处理这类函数需要两条基本规则。第一条是「逐项求导」(和差法则):多项式的导数等于各项导数之和,符号保持不变。例如 y = x³ + x² – 5x + 2 的导数是 3x² + 2x – 5。
Real functions are almost never a single term xⁿ; they are combinations of several terms added or subtracted. Two basic rules handle these. The first is term-by-term differentiation (the sum and difference rule): the derivative of a polynomial equals the sum of the derivatives of its terms, with the signs unchanged. For example, the derivative of y = x³ + x² – 5x + 2 is 3x² + 2x – 5.
第二条是「常数倍法则」:如果一个函数前面乘了一个常数系数,求导时这个系数可以原封不动地提到前面,只需对后面的函数求导。例如 y = 7x⁴ 的导数是 7 × 4x³ = 28x³。注意这与幂法则中的「系数」不同,7 是固定的常数倍,而不是可变的指数。
The second is the constant multiple rule: if a function is multiplied by a constant coefficient, the coefficient can be brought out unchanged while only the rest is differentiated. For example, the derivative of y = 7x⁴ is 7 × 4x³ = 28x³. Note that this coefficient differs from the power in the power rule: 7 is a fixed constant multiple, not a variable exponent.
这两条规则合起来,让我们能够求导任何多项式。更一般地,对于 y = axⁿ + bxᵐ 这种形式,导数是 dy/dx = nax^(n-1) + mbx^(m-1)。考试中一个常见失误是把常数项也「求导」成 1 而不是 0,务必记住:任何不含 x 的项,导数一律为 0。
Together these two rules allow us to differentiate any polynomial. More generally, for a function of the form y = axⁿ + bxᵐ, the derivative is dy/dx = nax^(n-1) + mbx^(m-1). A common exam mistake is differentiating a constant term into 1 instead of 0. Always remember: any term with no x in it has derivative 0.
五、常用函数的导数表:一次背熟省时省力 | A Table of Common Derivatives: Memorise Once, Save Time
在 AS 数学范围内,除了多项式之外,还有几类基本函数需要熟记其导数。下面这张表总结了最常见的结果,建议在复习时反复默写,直到能够不假思索地写出。
Within the AS Maths syllabus, in addition to polynomials, there are several basic function types whose derivatives must be memorised. The table below summarises the most common results. It is worth rewriting them from memory repeatedly until they come instantly.
| 原函数 Function | 导数 Derivative | 说明 Note |
|---|---|---|
| xⁿ | nx^(n-1) | 幂法则 Power rule |
| sin x | cos x | 正弦的导数是余弦 |
| cos x | -sin x | 余弦的导数带负号 |
| e^x | e^x | 指数函数导数是它本身 |
| ln x | 1/x | 自然对数的导数 |
这张表里最需要警惕的是三角函数的符号。sin x 的导数是正的 cos x,但 cos x 的导数是负的 sin x,前面的负号极容易被遗漏。一个帮助记忆的口诀是:从 sin 出发求导会「转」到 cos,再从 cos 继续求导会「转」到 -sin。
The most important pitfall in this table is the sign of the trigonometric derivatives. The derivative of sin x is positive cos x, but the derivative of cos x is negative sin x, and that minus sign is extremely easy to drop. A helpful memory trick is: differentiating sin “rotates” to cos, and differentiating cos further “rotates” to -sin.
六、在某一点的导数:计算切线的斜率 | The Derivative at a Point: Finding the Gradient of a Tangent
求导得到的是一个函数 f'(x),它给出曲线在任意位置 x 处的斜率。但在很多题目中,我们只关心曲线在某个特定点 x = a 处的斜率。这时只需先求出 f'(x),再把 x = a 代入即可。
Differentiating produces a function f'(x) that gives the gradient of the curve at any position x. In many questions, however, we only care about the gradient at one specific point x = a. In that case we simply find f'(x) first, then substitute x = a.
例如,求曲线 y = x³ – 3x + 1 在 x = 2 处的切线斜率。先求导得到 f'(x) = 3x² – 3,再代入 x = 2 得到 f'(2) = 3×4 – 3 = 9。因此该点切线的斜率是 9。这个「先求导、再代入」的两步顺序务必固定下来,先代后求是完全错误的方法。
For example, find the gradient of the tangent to y = x³ – 3x + 1 at x = 2. First differentiate to get f'(x) = 3x² – 3, then substitute x = 2 to get f'(2) = 3×4 – 3 = 9. So the tangent gradient at that point is 9. Fix this two-step order firmly in your mind: differentiate first, then substitute. Substituting first and then differentiating is completely wrong.
还有一种题型要求你找到斜率为特定值的点,例如「求曲线上切线斜率为 6 的点」。这时方向相反:令 f'(x) = 6,解出对应的 x 值,再代回原函数求出 y 坐标。这类题目本质上是解方程,考查的是你对「导数等于斜率」这一含义的理解。
There is another question type that asks you to find the point where the gradient takes a specific value, for example “find the point on the curve where the tangent gradient is 6”. Here the direction is reversed: set f'(x) = 6, solve for x, then substitute back into the original function to find the y-coordinate. This type is essentially about solving an equation, testing your understanding that “the derivative equals the gradient”.
七、切线方程与法线方程:从斜率到直线方程 | Equations of Tangents and Normals: From Gradient to Line Equation
求出切线斜率之后,下一步通常是写出完整的切线方程。一条直线方程需要两个信息:一个已知点和斜率。已知点是切点 (a, f(a)),斜率是 f'(a),代入点斜式 y – y₁ = m(x – x₁) 即可。
After finding the tangent gradient, the next step is usually to write the full equation of the tangent. A straight-line equation needs two pieces of information: a known point and a gradient. The known point is the point of contact (a, f(a)) and the gradient is f'(a). Substitute into the point-slope form y – y₁ = m(x – x₁).
法线(normal)是与切线垂直的直线。两条互相垂直的直线斜率互为负倒数,即 m₁ × m₂ = -1。所以如果切线的斜率是 m,法线的斜率就是 -1/m。这个「负倒数」关系是高频考点,也是出错最多的地方,尤其当 m 是分数时。
The normal is the straight line perpendicular to the tangent. Two perpendicular lines have gradients that are negative reciprocals of each other, meaning m₁ × m₂ = -1. So if the tangent has gradient m, the normal has gradient -1/m. This “negative reciprocal” relationship is a frequently tested point and the most error-prone one, especially when m is a fraction.
完整流程是:求 f'(x),代入切点横坐标得到切线斜率 m,用 -1/m 得到法线斜率,再用切点坐标分别写出两条直线的方程。考试评分通常分开给分,即使最后一步方程写错,前面的斜率计算仍然可以得分。
The complete procedure is: find f'(x), substitute the x-coordinate of the point to get the tangent gradient m, use -1/m for the normal gradient, then write the equations of both lines using the coordinates of the point. Mark schemes usually award marks separately, so even if the final equation is wrong, the earlier gradient calculations can still earn marks.
八、递增函数与递减函数:用导数的正负判断趋势 | Increasing and Decreasing Functions: Using the Sign of the Derivative
导数的一个重要应用是判断函数在某个区间上是递增还是递减。规则非常直观:在某个区间内,如果 f'(x) > 0,函数递增;如果 f'(x) < 0,函数递减。导数为 0 的位置则是递增与递减之间的转折点,称为驻点。
An important application of the derivative is deciding whether a function is increasing or decreasing over an interval. The rule is very intuitive: on an interval where f'(x) > 0 the function is increasing, and where f'(x) < 0 it is decreasing. Points where the derivative equals 0 are the turning points between increasing and decreasing behaviour, called stationary points.
要判断整个函数在哪里递增,通常先解不等式 f'(x) > 0,得到递增区间;再解 f'(x) < 0 得到递减区间。例如 f(x) = x³ - 3x 的导数是 3x² - 3 = 3(x² - 1)。它在 x < -1 和 x > 1 时为正,在 -1 < x < 1 时为负,因此函数在 (-∞, -1) 和 (1, ∞) 上递增,在 (-1, 1) 上递减。
To determine where a function is increasing, solve the inequality f'(x) > 0 to obtain the increasing interval, then solve f'(x) < 0 for the decreasing interval. For example, f(x) = x³ - 3x has derivative 3x² - 3 = 3(x² - 1). This is positive when x < -1 or x > 1, and negative when -1 < x < 1, so the function increases on (-∞, -1) and (1, ∞) and decreases on (-1, 1).
这个判断是理解函数图像形状的关键,也为下一节的驻点分析做好准备。在画草图或回答「函数何时上升/下降」这类描述性问题时,务必将区间写清楚,并使用正确的开闭括号。
This sign analysis is the key to understanding the shape of a function’s graph, and it sets up the stationary-point analysis in the next section. When sketching graphs or answering descriptive questions about where a function rises or falls, always state the intervals clearly and use the correct open or closed brackets.
九、驻点与二阶导数判定:极大值、极小值与拐点 | Stationary Points and the Second Derivative Test: Maxima, Minima and Points of Inflection
驻点(stationary point)是满足 f'(x) = 0 的点,即切线水平的点。驻点分为三类:局部极大值点(local maximum)、局部极小值点(local minimum)和驻点型拐点(stationary point of inflection)。判断它们属于哪一类,需要借助二阶导数。
A stationary point satisfies f'(x) = 0, meaning the tangent is horizontal. Stationary points fall into three types: local maximum, local minimum, and stationary point of inflection. To decide which type we have, we turn to the second derivative.
二阶导数判定法:先令 f'(x) = 0 解出驻点的横坐标,再代入二阶导数 f”(x)。若 f”(x) > 0,该点是极小值点(曲线向上凹);若 f”(x) < 0,该点是极大值点(曲线向下凹);若 f''(x) = 0,则需要进一步检查,可能是拐点。
The second derivative test works as follows: set f'(x) = 0 and solve for the x-coordinates of the stationary points, then substitute into the second derivative f”(x). If f”(x) > 0 the point is a minimum (the curve is concave up); if f”(x) < 0 it is a maximum (concave down); if f''(x) = 0 further investigation is needed, and the point may be a point of inflection.
例如 f(x) = x³ – 3x。f'(x) = 3x² – 3 = 3(x-1)(x+1),驻点在 x = 1 和 x = -1。二阶导数 f”(x) = 6x。在 x = 1 处 f”(1) = 6 > 0,所以是极小值点;在 x = -1 处 f”(-1) = -6 < 0,所以是极大值点。代入原函数可得到极值点的完整坐标。
For example, take f(x) = x³ – 3x. Here f'(x) = 3x² – 3 = 3(x-1)(x+1), with stationary points at x = 1 and x = -1. The second derivative is f”(x) = 6x. At x = 1 we have f”(1) = 6 > 0, so it is a minimum; at x = -1 we have f”(-1) = -6 < 0, so it is a maximum. Substituting back into the original function gives the full coordinates of these extreme points.
十、AS 数学考试中的典型题型与解题策略 | Typical AS Maths Exam Questions and Strategy
AS 数学的求导题通常以多问小问的形式出现,每一小问考查一个独立技能,但共用同一个函数。典型的小问顺序是:先求 f'(x),再求某点的切线方程,最后判断驻点的性质或求极值。掌握这个结构能帮你合理分配时间。
AS Maths differentiation questions usually appear as multi-part questions, where each part tests an independent skill but all parts share the same function. The typical order is: find f'(x), then find the tangent equation at a point, and finally determine the nature of stationary points or find extreme values. Knowing this structure helps you allocate time sensibly.
解题策略上有几条实用建议。第一,求导后立刻检查每一项的指数和系数,防止抄错;第二,涉及切线法线时先算斜率再算方程,符号错误是丢分主因;第三,凡是要求「判断性质」的驻点题,务必完整写出二阶导数的代入过程,只写结论通常拿不到方法分。
Several practical strategies help. First, immediately re-check the power and coefficient of each term after differentiating to avoid copying errors. Second, for tangent and normal questions, compute the gradient before the equation; sign errors are the main cause of lost marks. Third, for any stationary-point question asking you to “determine the nature”, always write out the full second-derivative substitution, because stating only the conclusion usually earns no method marks.
最后,多做历年真题是最有效的提分方式。AS 数学的求导题型相对固定,熟悉了评分标准之后,这些题目可以变成稳定得分的部分,为后面更难的应用题(如优化问题)留出时间。
Finally, practising past papers is the most effective way to improve. AS Maths differentiation question types are fairly stable, and once you are familiar with the mark scheme, these questions can become a reliable source of marks, freeing up time for the harder application problems such as optimisation.
十一、求导记号:dy/dx、f'(x) 与莱布尼茨记号 | Derivative Notation: dy/dx, f'(x) and Leibniz Notation
求导结果有多种写法,AS 数学考试中都会遇到,务必能够灵活辨认。最常见的是拉格朗日记号 f'(x),读作「f dash of x」,以及莱布尼茨记号 dy/dx,读作「dee y by dee x」。两者含义完全相同,都表示函数 y = f(x) 对 x 的导数。
There are several ways to write a derivative, all of which appear in AS Maths exams, so you must be able to recognise them fluently. The most common are Lagrange’s notation f'(x), read as “f dash of x”, and Leibniz’s notation dy/dx, read as “dee y by dee x”. Both mean exactly the same thing: the derivative of y = f(x) with respect to x.
二阶导数同样有两种记号:f”(x)(读作 f double dash of x)和 d²y/dx²。二阶导数就是一阶导数再求导一次,它描述的是斜率本身的变化快慢,也就是曲线的弯曲程度,用于判断驻点性质。
The second derivative likewise has two notations: f”(x), read as “f double dash of x”, and d²y/dx². The second derivative is simply the first derivative differentiated again. It describes how quickly the gradient itself is changing, that is, how sharply the curve bends, and it is used to determine the nature of stationary points.
莱布尼茨记号 dy/dx 的一个重要优点是它提醒我们「对谁求导」,这在后续学习链式法则和隐函数求导时会变得至关重要。虽然 AS 阶段暂时用不到这些高级技巧,但养成写出正确记号的习惯,能为 A2 阶段的学习打下良好基础。
An important advantage of Leibniz notation dy/dx is that it reminds us “with respect to what” we are differentiating, which becomes essential later when studying the chain rule and implicit differentiation. Although these advanced techniques are not needed at AS level, forming the habit of writing correct notation now builds a solid foundation for A2 study.
十二、导数的应用:用驻点解决最优化问题 | Applying the Derivative: Solving Optimisation Problems with Stationary Points
导数最实用的应用之一是最优化:在给定条件下求某个量的最大值或最小值。这类应用题通常的步骤是:先用题目信息建立一个关于自变量 x 的函数,然后求导、令导数为 0 找到驻点,再用二阶导数确认它是极大值还是极小值。
One of the most useful applications of the derivative is optimisation: finding the maximum or minimum value of some quantity under given conditions. The standard procedure is: first build a function of the variable x from the information in the question, then differentiate, set the derivative to 0 to find stationary points, and finally use the second derivative to confirm whether each is a maximum or a minimum.
经典例题是「用固定长度的栅栏围成最大面积」问题。设栅栏总长为 100 米,围成一个一边靠墙的矩形,求最大面积。设平行于墙的边为 x,则另一条边为 (100 – x)/2,面积 A = x(100 – x)/2 = 50x – x²/2。求导得 dA/dx = 50 – x,令其为 0 得 x = 50,此时面积最大。
A classic example is the “maximum area with a fixed length of fencing” problem. Suppose 100 metres of fencing encloses a rectangle with one side against a wall; find the maximum area. Let the side parallel to the wall be x, so the other side is (100 – x)/2, and the area is A = x(100 – x)/2 = 50x – x²/2. Differentiating gives dA/dx = 50 – x, and setting this to 0 gives x = 50, where the area is largest.
这类题的评分重点在于「建立函数」和「论证最大/最小」两个环节。很多学生能熟练求导,却在把文字条件翻译成数学表达式时出错。建议在建立函数后,先代入一个简单数值验证函数是否合理,再继续求导。
The mark scheme for these questions focuses on two stages: “building the function” and “justifying the maximum or minimum”. Many students can differentiate fluently but make errors translating the worded conditions into a mathematical expression. It is advisable, after building the function, to test a simple value to check that the function is sensible before proceeding to differentiate.
Summary | 总结
导数是 AS 数学纯数部分的核心概念,它回答「曲线在某一点的瞬时变化率是多少」这个问题,几何上等于该点切线的斜率。从第一性原理的极限定义出发,我们可以推导出幂法则、和差法则与常数倍法则,从而快速求导任何多项式。
The derivative is a core concept in AS Maths pure mathematics. It answers the question “what is the instantaneous rate of change of a curve at a point”, and geometrically it equals the gradient of the tangent at that point. Starting from the limit definition of first principles, we can derive the power rule, the sum and difference rules, and the constant multiple rule, allowing us to differentiate any polynomial quickly.
掌握常用函数的导数表、切线与法线方程的写法、以及用导数判断递增递减和驻点性质的方法,就覆盖了 AS 数学求导部分的主要考点。熟记符号、固定「先求导再代入」的步骤、并在考试中完整展示推导过程,是稳定得分的关键。
Mastering the table of common derivatives, the method for writing tangent and normal equations, and the use of the derivative to analyse increasing and decreasing behaviour and the nature of stationary points covers the main tested areas of AS Maths differentiation. Memorising the signs, fixing the “differentiate first, then substitute” order, and showing full working in the exam are the keys to consistent marks.
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