KonkurStudy
همه کارت‌ها

Inferring f' Behavior from the Sign of f' and f'' on Each Side

On an interval the sign of f' gives whether f rises or falls and the sign of f'' gives whether f' rises or falls; a one-sided monotone-bounded f' has a finite limit that equals the one-sided derivative.

کارت مفهوم کنکور ارشد علوم کامپیوتر

اهمیت
۰/۵

Many konkur problems hand you only the signs of f′f' and f′′f'' on the two sides of a point aa and ask what ff — or its one-sided derivatives at aa — must look like. The whole trick is to read two layers of monotonicity off those two signs, then use boundedness to pin down a one-sided limit of f′f'.

The two-layer sign reading

Think of f′f' as a function in its own right. On an interval II:

sign of f′f' what ff does sign of f′′f'' what f′f' does
f′>0f' > 0 ff increasing f′′>0f'' > 0 f′f' increasing (ff convex)
f′<0f' < 0 ff decreasing f′′<0f'' < 0 f′f' decreasing (ff concave)

The first sign controls ff; the second sign controls f′f'. So 'f′<0<f′′f' < 0 < f''' means ff is decreasing while its slope is rising toward 00 (a decreasing-but-flattening, convex piece), and 'f′′<0<f′f'' < 0 < f'' means ff is increasing while its slope is falling (an increasing-but-flattening, concave piece).

Squeezing out a one-sided limit of f'

Apply the Monotone Convergence Theorem to f′f', not to ff. Suppose on (b,a)(b, a) we have f′′>0f'' > 0 (so f′f' is increasing) and f′<0f' < 0 (so f′f' is bounded above by 00). An increasing function bounded above has a finite limit at the right end:

L−=lim⁡x→a−f′(x)=sup⁡x<af′(x)≤0.L_- = \lim_{x \to a^-} f'(x) = \sup_{x<a} f'(x) \le 0.

The bound that makes f′f' monotone comes from f′′f''; the bound that makes it bounded comes from f′f'. Mirror image on the right: f′f' decreasing (f′′<0f''<0) and positive (f′>0f'>0) gives a finite (or +∞+\infty) limit

R+=lim⁡x→a+f′(x)=sup⁡x>af′(x)>0,R_+ = \lim_{x \to a^+} f'(x) = \sup_{x>a} f'(x) > 0,

and because f′f' is strictly decreasing the inequality R+>f′(x)>0R_+ > f'(x) > 0 is strict for every interior xx.

From limit of f' to the one-sided derivative

The missing link is the derivative-limit theorem (a clean corollary of the Mean Value Theorem):

If ff is continuous at aa and differentiable just to one side, and lim⁡x→a−f′(x)=L\lim_{x\to a^-} f'(x) = L exists (finite or ±∞\pm\infty), then the left-hand derivative equals that limit: f−′(a)=Lf'_-(a) = L.

So a derivative cannot have a jump or oscillatory discontinuity from a one-sided monotone limit — the one-sided derivative at aa is that one-sided limit. This is exactly what lets you conclude things like 'f−′(a)≤0≤f+′(a)f'_-(a) \le 0 \le f'_+(a), so aa is a local-min-type corner', or compare the two one-sided slopes to decide differentiability at aa.

How to apply it (4 moves)

  1. Translate signs. Convert each 'f′f' sign' to monotonicity of ff, and each 'f′′f'' sign' to monotonicity of f′f'.
  2. Bound f′f'. Use the sign of f′f' itself (f′<0f'<0 or f′>0f'>0) as the bound 00 that the monotone f′f' approaches.
  3. Take the one-sided limit. Monotone ++ bounded ⇒\Rightarrow lim⁡x→a±f′(x)\lim_{x\to a^\pm} f'(x) exists (or is ±∞\pm\infty); it equals the relevant sup/inf.
  4. Identify the one-sided derivative. By the derivative-limit theorem this limit is f±′(a)f'_\pm(a); compare f−′(a)f'_-(a) and f+′(a)f'_+(a) to settle differentiability or the corner type at aa.

Mini-example

Let ff be continuous on R\mathbb{R} with f′<0<f′′f' < 0 < f'' for x<0x < 0 and f′′<0<f′f'' < 0 < f' for x>0x > 0. Left of 00: f′f' increasing and <0< 0, so f−′(0)=lim⁡x→0−f′(x)=sup⁡x<0f′(x)≤0f'_-(0) = \lim_{x\to0^-}f'(x) = \sup_{x<0}f'(x) \le 0. Right of 00: f′f' decreasing and >0> 0, so f+′(0)=lim⁡x→0+f′(x)=sup⁡x>0f′(x)>0f'_+(0) = \lim_{x\to0^+}f'(x) = \sup_{x>0}f'(x) > 0. Hence f−′(0)≤0<f+′(0)f'_-(0) \le 0 < f'_+(0): the two one-sided slopes differ, so ff need not be differentiable at 00, and 00 is a downward corner (local minimum of ff). A concrete witness is f(x)=∣x∣+1−1f(x) = \sqrt{|x|+1} - 1 near 00-style functions, or simply any V-shaped-but-curved profile matching the signs.

Exam trick: Keep the two derivatives in separate lanes — the sign of f′f' tells you about ff (rising/falling), the sign of f′′f'' tells you about f′f' (rising/falling). The single most useful consequence is that 'f′f' monotone and one-signed near aa' forces lim⁡x→a±f′\lim_{x\to a^\pm} f' to exist and to equal the one-sided derivative f±′(a)f'_\pm(a) — so you may read those slopes straight off the supremum/infimum, never needing a formula for ff.

فرمول‌های کلیدی

Two-layer sign reading
sign⁡f′⇒f↗/↘,sign⁡f′′⇒f′↗/↘\operatorname{sign} f' \Rightarrow f \nearrow/\searrow, \qquad \operatorname{sign} f'' \Rightarrow f' \nearrow/\searrow

The sign of f' controls whether f rises or falls; the sign of f'' controls whether the slope f' rises or falls (convex vs concave).

Monotone-bounded one-sided limit of f'
f′↗ and f′≤0 on (b,a)  ⟹  lim⁡x→a−f′(x)=sup⁡x<af′(x)≤0f' \nearrow \text{ and } f' \le 0 \text{ on } (b,a) \;\Longrightarrow\; \lim_{x\to a^-} f'(x) = \sup_{x<a} f'(x) \le 0

Monotone Convergence Theorem applied to f' itself: f'' gives monotonicity, f' gives the bound, so the one-sided limit exists.

Derivative-limit theorem (one-sided)
f continuous at a, lim⁡x→a−f′(x)=L  ⟹  f−′(a)=Lf \text{ continuous at } a,\ \lim_{x\to a^-} f'(x) = L \;\Longrightarrow\; f'_-(a) = L

A one-sided limit of f' equals the one-sided derivative at a; derivatives have no jump/oscillation discontinuities from a monotone limit (corollary of the MVT).

#derivatives#one-sided-derivatives#monotonicity#concavity#second-derivative#monotone-convergence#differentiability#mean-value-theorem

سوالات تمرینی