16.2 Tangent Lines, Derivatives, Monotonicity, and Extremum Analysis
Key Takeaways
- The geometric derivative f'(x_0) defines the slope of the tangent line y - f(x_0) = f'(x_0)(x - x_0) to the curve at point (x_0, f(x_0)).
- A function f(x) is strictly increasing on an interval if f'(x) \ge 0 (and not identically zero on any subinterval) and strictly decreasing if f'(x) \le 0.
- Fermat's Theorem states that if f(x) has a local extremum at x_0 and is differentiable, then f'(x_0) = 0 (x_0 is a stationary/critical point).
- Parameter-dependent Gaokao problems require comprehensive classification discussion (分类讨论) based on discriminant \Delta and critical point locations relative to domain boundaries.
16.2 Tangent Lines, Derivatives, Monotonicity, and Extremum Analysis
In Gaokao Mathematics, the derivative is the primary tool for analyzing function behavior. This section explores the dual nature of derivatives: their geometric representation as tangent slopes and their analytical power in determining monotonicity and local extrema.
1. Tangent Lines and Normal Lines
1.1 Geometric Interpretation
For a curve $y = f(x)$, the derivative value $f'(x_0)$ represents the exact slope $k$ of the tangent line to the curve at point $P(x_0, f(x_0))$.
- Tangent Line Equation:
- Normal Line Equation (the line perpendicular to the tangent at $P$, assuming $f'(x_0) \neq 0$):
1.2 Crucial Distinction in Gaokao Problems
Gaokao questions frequently distinguish between two phrasing types:
- "Tangent AT point $P(x_0, y_0)$": Point $P$ lies on the curve ($y_0 = f(x_0)$), and the slope is directly $k = f'(x_0)$.
- "Tangent PASSING THROUGH point $P(x_0, y_0)$": Point $P$ may NOT lie on the curve. In this case:
- Assume the unknown point of tangency is $T(t, f(t))$.
- Express the slope as $k = f'(t)$.
- Set up the tangent line equation using $T$: $y - f(t) = f'(t)(x - t)$.
- Substitute point $P(x_0, y_0)$ into the line equation to solve for $t$.
2. Monotonicity Analysis via Derivatives
2.1 First Derivative Test for Monotonicity
Let $f(x)$ be continuous on $[a, b]$ and differentiable on $(a, b)$.
- Strictly Increasing: If $f'(x) > 0$ for all $x \in (a, b)$, then $f(x)$ is strictly increasing on $[a, b]$.
- Strictly Decreasing: If $f'(x) < 0$ for all $x \in (a, b)$, then $f(x)$ is strictly decreasing on $[a, b]$.
- Constant Function: If $f'(x) = 0$ for all $x \in (a, b)$, then $f(x)$ is constant on $[a, b]$.
Important Distinction: If $f(x)$ is strictly increasing on $(a,b)$, then $f'(x) \ge 0$ for all $x \in (a,b)$, provided $f'(x)$ is not identically zero on any subinterval. For example, $f(x) = x^3$ is strictly increasing on $\mathbb{R}$, even though $f'(0) = 0$.
2.2 Framework for Parametric Monotonicity Problems
When solving parametric monotonicity problems ($f(x)$ contains a parameter $a$):
- Determine the domain $D$ of $f(x)$.
- Compute $f'(x)$ and factorize or express it cleanly, e.g., $f'(x) = \frac{g(x)}{h(x)}$.
- Identify roots of $f'(x) = 0$ (critical points).
- Perform classification discussion (分类讨论) based on:
- Sign of the leading coefficient of quadratic numerator/denominator.
- Discriminant $\Delta$ of $f'(x) = 0$.
- Location of roots relative to domain boundaries $D$.
3. Local Extremum Analysis
3.1 Necessary Condition (Fermat's Theorem)
If $f(x)$ attains a local extremum (maximum or minimum) at $x_0$ and $f(x)$ is differentiable at $x_0$, then:
Points where $f'(x_0) = 0$ are called stationary points or critical points. Note that $f'(x_0) = 0$ is a necessary, but not sufficient condition for a local extremum (e.g., $f(x) = x^3$ at $x=0$ has $f'(0)=0$, but no local extremum).
3.2 First Derivative Test for Local Extrema
Suppose $x_0$ is a critical point ($f'(x_0) = 0$) and $f(x)$ is differentiable in a neighborhood of $x_0$:
| Sign of $f'(x)$ for $x < x_0$ | Sign of $f'(x)$ for $x > x_0$ | Nature of Extremum at $x_0$ |
|---|---|---|
| Positive ($+$) | Negative ($-$) | Local Maximum $f(x_0)$ |
| Negative ($-$) | Positive ($+$) | Local Minimum $f(x_0)$ |
| Same Sign ($+$ or $-$) | Same Sign ($+$ or $-$) | No Extremum |
3.3 Second Derivative Test for Local Extrema
If $f'(x_0) = 0$ and $f''(x_0)$ exists:
- If $f''(x_0) < 0$, then $f(x)$ has a local maximum at $x_0$.
- If $f''(x_0) > 0$, then $f(x)$ has a local minimum at $x_0$.
- If $f''(x_0) = 0$, the test is inconclusive (must return to the first derivative test).
4. Worked Gaokao Exam Problem
Problem Statement
Let $f(x) = \frac{1}{3}x^3 - \frac{1}{2}ax^2 + (a-1)x + 1$, where $a \in \mathbb{R}$.
- Find the monotonic intervals of $f(x)$ in terms of parameter $a$.
- If $f(x)$ has a local minimum equal to $\frac{5}{6}$, find the value of $a$.
Step-by-Step Solution
Step 1: Compute derivative and analyze roots. Factorizing $f'(x) = 0$: The roots of $f'(x) = 0$ are $x_1 = 1$ and $x_2 = a - 1$.
Step 2: Classification discussion on root positions. Compare $x_1 = 1$ and $x_2 = a - 1$:
- $x_2 - x_1 = (a - 1) - 1 = a - 2$.
Case 1: When $a - 2 > 0 \implies a > 2$: Roots are $x_1 = 1 < x_2 = a - 1$.
- For $x \in (-\infty, 1)$ and $x \in (a-1, +\infty)$, $f'(x) > 0 \implies f(x)$ is strictly increasing.
- For $x \in (1, a-1)$, $f'(x) < 0 \implies f(x)$ is strictly decreasing.
- Local maximum at $x = 1$, local minimum at $x = a - 1$.
Case 2: When $a - 2 = 0 \implies a = 2$: Roots coincide: $x_1 = x_2 = 1$, so $f'(x) = (x - 1)^2 \ge 0$.
- $f'(x) > 0$ for all $x \neq 1$, so $f(x)$ is strictly increasing on $(-\infty, +\infty)$. No local extrema.
Case 3: When $a - 2 < 0 \implies a < 2$: Roots are $x_2 = a - 1 < x_1 = 1$.
- For $x \in (-\infty, a-1)$ and $x \in (1, +\infty)$, $f'(x) > 0 \implies f(x)$ is strictly increasing.
- For $x \in (a-1, 1)$, $f'(x) < 0 \implies f(x)$ is strictly decreasing.
- Local maximum at $x = a - 1$, local minimum at $x = 1$.
Step 3: Solve Part 2 (Local Minimum $= \frac{5}{6}$). From our classification:
- If $a > 2$, local minimum occurs at $x = a - 1$. Evaluating at $a=3$: $x_2 = 2$. $f(2) = \frac{8}{3} - 6 + 4 + 1 = \frac{5}{3} \neq \frac{5}{6}$. Solving gives no valid $a > 2$.
- If $a < 2$, local minimum occurs at $x = 1$. Set $\frac{1}{3} + \frac{1}{2}a = \frac{5}{6} \implies \frac{1}{2}a = \frac{5}{6} - \frac{2}{6} = \frac{3}{6} = \frac{1}{2} \implies a = 1$. Since $a = 1 < 2$, this solution is valid!
Final Answer: For $a > 2$, increasing on $(-\infty, 1)$ and $(a-1, +\infty)$, decreasing on $(1, a-1)$; for $a = 2$, increasing on $\mathbb{R}$; for $a < 2$, increasing on $(-\infty, a-1)$ and $(1, +\infty)$, decreasing on $(a-1, 1)$. The value for Part 2 is $a = 1$.
What is the equation of the line tangent to y = x^3 - 3x + 2 at the point (2, 4)?
For what values of parameter 'a' is the function f(x) = e^x - ax strictly increasing on R?
A function f(x) has derivative f'(x) = (x + 1)(x - 3)^2. Which of the following describes the local extrema of f(x)?