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16.1 Limit Concepts and Derivatives of Elementary Functions

Key Takeaways

  • The derivative f′(x0)f'(x_0) represents the exact instantaneous rate of change of a function at a point, defined as the limit of the average rate of change as Δx\Delta x approaches 0.

  • Elementary derivative formulas (power, exponential, logarithmic, and trigonometric) serve as fundamental building blocks for solving complex Gaokao calculus problems.

  • Differentiation rules (sum, product, quotient, and chain rule) allow systematic calculation of derivatives for composite and structured functions.

  • A function must be continuous at a point to be differentiable, though continuity alone does not guarantee differentiability.

Last updated: July 2026

16.1 Limit Concepts and Derivatives of Elementary Functions

Differential calculus is one of the most powerful mathematical frameworks tested in the National College Entrance Examination (Gaokao). At its core, calculus transitions mathematical analysis from static quantities to dynamic rates of change. Understanding how limits lead to instantaneous derivatives forms the indispensable foundation for curve analysis, optimization, and real-world mathematical modeling.


1. Concept of Limits, Continuity, and Average Rate of Change

1.1 Average Rate of Change

Consider a function y=f(x)y = f(x) defined on an open interval containing x0x_0. When the independent variable xx changes from x0x_0 to x0+Δxx_0 + \Delta x, the corresponding change in the function values is Δy=f(x0+Δx)−f(x0)\Delta y = f(x_0 + \Delta x) - f(x_0). The ratio of these increments is defined as the average rate of change of f(x)f(x) over the interval [x0,x0+Δx][x_0, x_0 + \Delta x]:

Average Rate of Change=ΔyΔx=f(x0+Δx)−f(x0)Δx\text{Average Rate of Change} = \frac{\Delta y}{\Delta x} = \frac{f(x_0 + \Delta x) - f(x_0)}{\Delta x}

Geometrically, this ratio represents the secant line slope connecting points P(x0,f(x0))P(x_0, f(x_0)) and Q(x0+Δx,f(x0+Δx))Q(x_0 + \Delta x, f(x_0 + \Delta x)) on the graph of y=f(x)y = f(x).

1.2 Instantaneous Rate of Change and the Formal Derivative

As the increment Δx\Delta x shrinks toward 00, the secant line rotates about point PP. If the ratio ΔyΔx\frac{\Delta y}{\Delta x} approaches a finite limit as Δx→0\Delta x \to 0, this limit is called the instantaneous rate of change or the derivative of f(x)f(x) at x=x0x = x_0, denoted as f′(x0)f'(x_0) or dfdx∣x=x0\left.\frac{df}{dx}\right|_{x=x_0}:

f′(x0)=lim⁡Δx→0ΔyΔx=lim⁡Δx→0f(x0+Δx)−f(x0)Δxf'(x_0) = \lim_{\Delta x \to 0} \frac{\Delta y}{\Delta x} = \lim_{\Delta x \to 0} \frac{f(x_0 + \Delta x) - f(x_0)}{\Delta x}

Alternatively, letting x=x0+Δxx = x_0 + \Delta x, the limit can be expressed as:

f′(x0)=lim⁡x→x0f(x)−f(x0)x−x0f'(x_0) = \lim_{x \to x_0} \frac{f(x) - f(x_0)}{x - x_0}

1.3 Continuity vs. Differentiability

A function f(x)f(x) is continuous at x0x_0 if lim⁡x→x0f(x)=f(x0)\lim_{x \to x_0} f(x) = f(x_0). A fundamental theorem of calculus establishes that differentiability implies continuity:

If f(x) is differentiable at x0, then f(x) is continuous at x0.\text{If } f(x) \text{ is differentiable at } x_0, \text{ then } f(x) \text{ is continuous at } x_0.

Proof: Since f′(x0)=lim⁡x→x0f(x)−f(x0)x−x0f'(x_0) = \lim_{x \to x_0} \frac{f(x) - f(x_0)}{x - x_0}, we can write:

lim⁡x→x0[f(x)−f(x0)]=lim⁡x→x0[f(x)−f(x0)x−x0⋅(x−x0)]=f′(x0)⋅0=0\lim_{x \to x_0} [f(x) - f(x_0)] = \lim_{x \to x_0} \left[ \frac{f(x) - f(x_0)}{x - x_0} \cdot (x - x_0) \right] = f'(x_0) \cdot 0 = 0

Thus, lim⁡x→x0f(x)=f(x0)\lim_{x \to x_0} f(x) = f(x_0), proving continuity. Note that the converse is false: functions like f(x)=∣x∣f(x) = |x| are continuous at x=0x=0 but non-differentiable because the left-hand limit (−1-1) and right-hand limit (+1+1) of the difference quotient do not match.


2. Derivation of Standard Elementary Function Derivatives

In Gaokao Mathematics, candidates must memorize and fluently apply the derivative formulas for standard elementary functions. Below are their formal mathematical definitions and key derivations from first principles.

Function TypeFunction f(x)f(x)Derivative f′(x)f'(x)Domain Restrictions
Constantcc00x∈Rx \in \mathbb{R}
Powerxnx^n (n∈Rn \in \mathbb{R})nxn−1n x^{n-1}x>0x > 0 for real exponents
Exponentialaxa^x (a>0,a≠1a > 0, a \neq 1)axln⁡aa^x \ln ax∈Rx \in \mathbb{R}
Natural Exponentialexe^xexe^xx∈Rx \in \mathbb{R}
Logarithmiclog⁡ax\log_a x (a>0,a≠1a > 0, a \neq 1)1xln⁡a\frac{1}{x \ln a}x>0x > 0
Natural Logarithmln⁡x\ln x1x\frac{1}{x}x>0x > 0
Sinesin⁡x\sin xcos⁡x\cos xx∈Rx \in \mathbb{R}
Cosinecos⁡x\cos x−sin⁡x-\sin xx∈Rx \in \mathbb{R}

2.1 First-Principles Derivation of Power Function Derivative f(x)=xnf(x) = x^n (n∈N∗n \in \mathbb{N}^*)

Using the definition of the derivative:

f′(x)=lim⁡Δx→0(x+Δx)n−xnΔxf'(x) = \lim_{\Delta x \to 0} \frac{(x + \Delta x)^n - x^n}{\Delta x}

Applying the Binomial Expansion Theorem:

(x+Δx)n=xn+(n1)xn−1Δx+(n2)xn−2(Δx)2+⋯+(Δx)n(x + \Delta x)^n = x^n + \binom{n}{1} x^{n-1} \Delta x + \binom{n}{2} x^{n-2} (\Delta x)^2 + \dots + (\Delta x)^n

Substituting this back into the difference quotient:

f′(x)=lim⁡Δx→0[nxn−1+(n2)xn−2Δx+⋯+(Δx)n−1]=nxn−1f'(x) = \lim_{\Delta x \to 0} \left[ n x^{n-1} + \binom{n}{2} x^{n-2} \Delta x + \dots + (\Delta x)^{n-1} \right] = n x^{n-1}

2.2 First-Principles Derivation of Natural Exponential f(x)=exf(x) = e^x

Using the standard limit identity lim⁡t→0et−1t=1\lim_{t \to 0} \frac{e^t - 1}{t} = 1:

f′(x)=lim⁡Δx→0ex+Δx−exΔx=lim⁡Δx→0ex(eΔx−1)Δx=ex⋅lim⁡Δx→0eΔx−1Δx=ex⋅1=exf'(x) = \lim_{\Delta x \to 0} \frac{e^{x + \Delta x} - e^x}{\Delta x} = \lim_{\Delta x \to 0} \frac{e^x(e^{\Delta x} - 1)}{\Delta x} = e^x \cdot \lim_{\Delta x \to 0} \frac{e^{\Delta x} - 1}{\Delta x} = e^x \cdot 1 = e^x

2.3 First-Principles Derivation of Sine Function f(x)=sin⁡xf(x) = \sin x

Using the trigonometric sum-to-product identity sin⁡A−sin⁡B=2cos⁡(A+B2)sin⁡(A−B2)\sin A - \sin B = 2 \cos\left(\frac{A+B}{2}\right) \sin\left(\frac{A-B}{2}\right) and important limit lim⁡θ→0sin⁡θθ=1\lim_{\theta \to 0} \frac{\sin \theta}{\theta} = 1:

f′(x)=lim⁡Δx→0sin⁡(x+Δx)−sin⁡xΔx=lim⁡Δx→02cos⁡(x+Δx2)sin⁡(Δx2)Δxf'(x) = \lim_{\Delta x \to 0} \frac{\sin(x + \Delta x) - \sin x}{\Delta x} = \lim_{\Delta x \to 0} \frac{2 \cos\left(x + \frac{\Delta x}{2}\right) \sin\left(\frac{\Delta x}{2}\right)}{\Delta x} =lim⁡Δx→0[cos⁡(x+Δx2)⋅sin⁡(Δx/2)Δx/2]=cos⁡x⋅1=cos⁡x= \lim_{\Delta x \to 0} \left[ \cos\left(x + \frac{\Delta x}{2}\right) \cdot \frac{\sin(\Delta x / 2)}{\Delta x / 2} \right] = \cos x \cdot 1 = \cos x

3. Differentiation Operational Rules and Composite Chain Rule

Let u(x)u(x) and v(x)v(x) be differentiable functions on an interval II.

  1. Linearity (Sum and Constant Multiple Rule):

    [c1u(x)±c2v(x)]′=c1u′(x)±c2v′(x)\left[ c_1 u(x) \pm c_2 v(x) \right]' = c_1 u'(x) \pm c_2 v'(x)
  2. Product Rule:

    [u(x)v(x)]′=u′(x)v(x)+u(x)v′(x)\left[ u(x) v(x) \right]' = u'(x) v(x) + u(x) v'(x)
  3. Quotient Rule:

    [u(x)v(x)]′=u′(x)v(x)−u(x)v′(x)[v(x)]2(v(x)≠0)\left[ \frac{u(x)}{v(x)} \right]' = \frac{u'(x) v(x) - u(x) v'(x)}{[v(x)]^2} \quad (v(x) \neq 0)
  4. Chain Rule for Composite Functions: If y=f(u)y = f(u) and u=g(x)u = g(x) are differentiable, then the composite function y=f(g(x))y = f(g(x)) has derivative:

    dydx=dydu⋅dudx  ⟹  [f(g(x))]′=f′(g(x))⋅g′(x)\frac{dy}{dx} = \frac{dy}{du} \cdot \frac{du}{dx} \implies [f(g(x))]' = f'(g(x)) \cdot g'(x)

4. Worked Gaokao Exam Problem

Problem Statement

Given the function f(x)=x2ex−ln⁡(2x+1)f(x) = x^2 e^x - \ln(2x + 1) defined on x>−12x > -\frac{1}{2}:

  1. Compute the general derivative expression f′(x)f'(x).
  2. Evaluate the instantaneous rate of change at x=0x = 0.
  3. Determine the equation of the tangent line to y=f(x)y = f(x) at point (0,f(0))(0, f(0)).

Step-by-Step Solution

Step 1: Compute f′(x)f'(x) using differentiation rules. The function consists of two parts: g(x)=x2exg(x) = x^2 e^x and h(x)=ln⁡(2x+1)h(x) = \ln(2x + 1).

  • For g(x)=x2exg(x) = x^2 e^x, apply the product rule (uv)′=u′v+uv′(uv)' = u'v + uv': g′(x)=(x2)′ex+x2(ex)′=2xex+x2ex=(x2+2x)exg'(x) = (x^2)' e^x + x^2 (e^x)' = 2x e^x + x^2 e^x = (x^2 + 2x) e^x
  • For h(x)=ln⁡(2x+1)h(x) = \ln(2x + 1), apply the chain rule with u=2x+1u = 2x + 1 and h(u)=ln⁡uh(u) = \ln u: h′(x)=12x+1⋅(2x+1)′=22x+1h'(x) = \frac{1}{2x + 1} \cdot (2x + 1)' = \frac{2}{2x + 1}

Combining both components:

f′(x)=(x2+2x)ex−22x+1f'(x) = (x^2 + 2x)e^x - \frac{2}{2x + 1}

Step 2: Evaluate f′(0)f'(0) and f(0)f(0).

  • Substitute x=0x = 0 into f(x)f(x): f(0)=(0)2e0−ln⁡(2(0)+1)=0−ln⁡(1)=0f(0) = (0)^2 e^0 - \ln(2(0) + 1) = 0 - \ln(1) = 0
  • Substitute x=0x = 0 into f′(x)f'(x): f′(0)=(02+2(0))e0−22(0)+1=0−2=−2f'(0) = (0^2 + 2(0))e^0 - \frac{2}{2(0) + 1} = 0 - 2 = -2

Step 3: Derive the tangent line equation. The point of tangency is (0,0)(0, 0) and the slope is k=f′(0)=−2k = f'(0) = -2. Using the point-slope form y−y0=k(x−x0)y - y_0 = k(x - x_0):

y−0=−2(x−0)  ⟹  y=−2xor2x+y=0y - 0 = -2(x - 0) \implies y = -2x \quad \text{or} \quad 2x + y = 0

Final Answer: f′(x)=(x2+2x)ex−22x+1f'(x) = (x^2 + 2x)e^x - \frac{2}{2x+1}, f′(0)=−2f'(0) = -2, and the tangent line equation is 2x+y=02x + y = 0.

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Secant Line to Tangent Line Limit Transition
Test Your Knowledge

What is the derivative of the composite function f(x) = x * ln(3x) for x > 0?

A

f'(x) = ln(3x) + 1

B

f'(x) = ln(3x) + 3

C

f'(x) = 1 / (3x)

D

f'(x) = ln(3x)

Test Your Knowledge

If f(x) = e^(2x) * cos(x), what is f'(0)?

A

0

B

1

C

2

D

3

Test Your Knowledge

Which of the following statements regarding continuity and differentiability is mathematically correct?

A

If a function is continuous at x = a, it must be differentiable at x = a.

B

If a function is not continuous at x = a, it cannot be differentiable at x = a.

C

If a function is differentiable at x = a, its derivative f'(a) can be infinite.

D

Differentiability at x = a requires f(a) to be zero.

Sections you finish are checked off in the contents.