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Question: Let f be a continuous non-algebraic twice derivable increasing function in (0,1) & f"(x)>0. If f(0) ...

Let f be a continuous non-algebraic twice derivable increasing function in (0,1) & f"(x)>0. If f(0) = 0, f(1) = 1 and g(x) is inverse of f(x), then which of the following holds good?

A

f(x)xf(x)x(0,1)\frac{f(x)}{x} \leq f'(x) \forall x \in (0,1)

B

f(x)xf(x)x(0,1)\frac{f(x)}{x} \geq f'(x) \forall x \in (0,1)

C

f(x)x<xg(x)x(0,1)\frac{f(x)}{x} < \frac{x}{g(x)} \forall x \in (0,1)

D

f(x)x>xg(x)x(0,1)\frac{f(x)}{x} > \frac{x}{g(x)} \forall x \in (0,1)

Answer

A, C

Explanation

Solution

The problem asks us to identify the correct statement regarding a function f(x)f(x) and its inverse g(x)g(x).

Given properties of f(x)f(x):

  1. f(x)f(x) is continuous, twice derivable, and increasing in (0,1)(0,1).
  2. f(x)>0f''(x) > 0 in (0,1)(0,1), which means f(x)f(x) is strictly convex.
  3. f(0)=0f(0) = 0 and f(1)=1f(1) = 1.
  4. g(x)g(x) is the inverse of f(x)f(x), so f(g(x))=xf(g(x)) = x and g(f(x))=xg(f(x)) = x.

Analyzing Option (A) and (B): Comparing f(x)x\frac{f(x)}{x} and f(x)f'(x)

Consider the function f(x)f(x) on the interval [0,x][0, x] for any x(0,1)x \in (0,1). Since f(x)f(x) is continuous on [0,x][0,x] and differentiable on (0,x)(0,x), by the Mean Value Theorem (MVT), there exists a c(0,x)c \in (0,x) such that:

f(c)=f(x)f(0)x0f'(c) = \frac{f(x) - f(0)}{x - 0}

Given f(0)=0f(0) = 0, this simplifies to:

f(c)=f(x)xf'(c) = \frac{f(x)}{x}

We are given that f(x)>0f''(x) > 0 for x(0,1)x \in (0,1). This implies that f(x)f'(x) is a strictly increasing function in (0,1)(0,1). Since c(0,x)c \in (0,x), we have c<xc < x. Because f(x)f'(x) is strictly increasing, it follows that f(c)<f(x)f'(c) < f'(x). Substituting f(c)=f(x)xf'(c) = \frac{f(x)}{x}, we get:

f(x)x<f(x)\frac{f(x)}{x} < f'(x) for all x(0,1)x \in (0,1).

Therefore, option (A) f(x)xf(x)\frac{f(x)}{x} \leq f'(x) holds good (since it includes the strict inequality), and option (B) f(x)xf(x)\frac{f(x)}{x} \geq f'(x) is incorrect.

Analyzing Option (C) and (D): Comparing f(x)x\frac{f(x)}{x} and xg(x)\frac{x}{g(x)}

Let's first establish a relationship between f(x)f(x) and xx. Consider the function h(x)=f(x)xh(x) = f(x) - x. We know h(0)=f(0)0=0h(0) = f(0) - 0 = 0. We know h(1)=f(1)1=0h(1) = f(1) - 1 = 0. Since f(x)>0f''(x) > 0, f(x)f(x) is strictly convex. A strictly convex function whose graph passes through (0,0)(0,0) and (1,1)(1,1) must lie below the line segment connecting these two points. The line segment connecting (0,0)(0,0) and (1,1)(1,1) is y=xy=x. Therefore, for x(0,1)x \in (0,1), f(x)<xf(x) < x. This implies h(x)<0h(x) < 0 for x(0,1)x \in (0,1).

Now, let's use the property f(x)<xf(x) < x to analyze options (C) and (D). Option (C) is f(x)x<xg(x)\frac{f(x)}{x} < \frac{x}{g(x)}. Since x(0,1)x \in (0,1), x>0x > 0. Also, since f(x)f(x) is increasing and f(0)=0f(0)=0, f(x)>0f(x) > 0 for x(0,1)x \in (0,1). Similarly, g(x)g(x) is also increasing and g(0)=0g(0)=0, so g(x)>0g(x) > 0 for x(0,1)x \in (0,1). We can multiply the inequality by xg(x)x \cdot g(x) (which is positive) without changing the inequality direction:

f(x)g(x)<x2f(x) \cdot g(x) < x^2

Let y=f(x)y = f(x). Since g(x)g(x) is the inverse of f(x)f(x), we have x=g(y)x = g(y). Substitute y=f(x)y = f(x) and x=g(y)x = g(y) into the inequality f(x)g(x)<x2f(x) \cdot g(x) < x^2:

yg(y)<(g(y))2y \cdot g(y) < (g(y))^2

Since y(0,1)y \in (0,1), g(y)(0,1)g(y) \in (0,1), so g(y)>0g(y) > 0. We can divide by g(y)g(y):

y<g(y)y < g(y)

Now, substitute back y=f(x)y = f(x):

f(x)<g(f(x))f(x) < g(f(x))

Since g(f(x))=xg(f(x)) = x (by definition of inverse function):

f(x)<xf(x) < x

This is exactly the condition we derived from the strict convexity of f(x)f(x) and its boundary conditions f(0)=0,f(1)=1f(0)=0, f(1)=1. Since f(x)<xf(x) < x for x(0,1)x \in (0,1) is true, the equivalent inequality f(x)x<xg(x)\frac{f(x)}{x} < \frac{x}{g(x)} is also true. Therefore, option (C) holds good. Option (D) f(x)x>xg(x)\frac{f(x)}{x} > \frac{x}{g(x)} is incorrect.

Both (A) and (C) are correct statements.

Explanation:

  1. For Option (A): Since f(x)>0f''(x) > 0, f(x)f'(x) is strictly increasing. By MVT on [0,x][0,x], f(x)f(0)x0=f(c)\frac{f(x)-f(0)}{x-0} = f'(c) for some c(0,x)c \in (0,x). Given f(0)=0f(0)=0, we have f(x)x=f(c)\frac{f(x)}{x} = f'(c). Since c<xc < x and f(x)f'(x) is increasing, f(c)<f(x)f'(c) < f'(x). Thus, f(x)x<f(x)\frac{f(x)}{x} < f'(x).
  2. For Option (C): Since f(x)f(x) is strictly convex and f(0)=0,f(1)=1f(0)=0, f(1)=1, its graph lies below the line y=xy=x for x(0,1)x \in (0,1). Therefore, f(x)<xf(x) < x. Let's check the given inequality f(x)x<xg(x)\frac{f(x)}{x} < \frac{x}{g(x)}. Since x,f(x),g(x)x, f(x), g(x) are all positive in (0,1)(0,1), we can multiply by xg(x)x g(x) to get f(x)g(x)<x2f(x)g(x) < x^2. Let y=f(x)y = f(x). Then x=g(y)x = g(y). Substituting these into the inequality gives yg(y)<(g(y))2y \cdot g(y) < (g(y))^2. Since g(y)>0g(y) > 0, we can divide by g(y)g(y) to get y<g(y)y < g(y). Substituting back y=f(x)y=f(x), we get f(x)<g(f(x))f(x) < g(f(x)). Since g(f(x))=xg(f(x)) = x, the inequality simplifies to f(x)<xf(x) < x. As we established, f(x)<xf(x) < x is true for x(0,1)x \in (0,1) due to the convexity and boundary conditions. Therefore, option (C) is also correct.