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Question 177 of 188

Q.A function 𝑓(π‘₯) = 10 βˆ’ π‘₯ βˆ’ 2π‘₯2 is increasing on the interval
(A) (βˆ’βˆž, βˆ’ 1/4]
(B) (βˆ’βˆž, 1/4)
(C) [βˆ’ 1/4, ∞)
(D) [βˆ’ 1/4, 1/4]

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Concept understanding β€” Increasing Function Test

The Intuition: What Does "Increasing" Really Mean?

Imagine walking along the graph of a function from left to right. If the function is increasing, then as you step right (increasing xx), you always move upward β€” your height f(x)f(x) never drops. You might stay flat briefly, but you never go down.

That's the visual idea. But we need a precise way to check it without drawing the entire graph β€” that's the Increasing Function Test, which uses the derivative to tell you where a function is rising.

Note

A function ff is increasing on an interval if, for any two points x1<x2x_1 < x_2 in it, f(x1)≀f(x2)f(x_1) \le f(x_2). With strict inequality (<<), it's strictly increasing.

The Core Idea: Derivative as a Slope Detector

The derivative fβ€²(x)f'(x) gives the slope of the tangent line β€” the instantaneous rate of change. Positive slope means the function is rising at that instant; negative means falling. So the natural question: if the derivative is positive everywhere on an interval, does that guarantee the function is increasing on that whole interval? The answer is yes β€” and that's the Increasing Function Test.

The Precise Statement

Increasing Function Test

Let ff be continuous on [a,b][a, b] and differentiable on (a,b)(a, b).

  • If fβ€²(x)>0f'(x) > 0 for every xx in (a,b)(a, b), then ff is strictly increasing on [a,b][a, b].
  • If fβ€²(x)β‰₯0f'(x) \ge 0 for every xx in (a,b)(a, b), then ff is increasing (non-decreasing) on [a,b][a, b].

The conditions "continuous on the closed interval" and "differentiable on the open interval" ensure there are no jumps or corners that could break the logic.

Why Does This Work? (A Quick Proof Sketch)

The proof relies on the Mean Value Theorem. For x1<x2x_1 < x_2 in [a,b][a, b], there exists some cc between them such that:

f(x2)βˆ’f(x1)=fβ€²(c)(x2βˆ’x1)f(x_2) - f(x_1) = f'(c)(x_2 - x_1)

Since x2βˆ’x1>0x_2 - x_1 > 0, if fβ€²(c)>0f'(c) > 0 the right-hand side is positive, so f(x2)>f(x1)f(x_2) > f(x_1). This holds for any pair x1<x2x_1 < x_2 β€” exactly the definition of strictly increasing.

Watch out

The converse is not true. A function can be strictly increasing even if its derivative is zero at some isolated points. Example: f(x)=x3f(x) = x^3 is strictly increasing everywhere, but fβ€²(0)=0f'(0) = 0. The test gives a sufficient condition, not a necessary one.

How to Use It in Practice

  1. Compute fβ€²(x)f'(x).
  2. Solve fβ€²(x)>0f'(x) > 0 β€” the solution intervals tell you where ff is strictly increasing.
  3. Check endpoints if needed. …

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