Let f(x) be a real -valued function such that f'(x₀) = 0 for some x₀ ∈ (0, 1), and f (x) > 0 for all x ∈ (0, 1). Then f(x) has
- Aexactly one local minimum in (0, 1)
- Btwo distinct local minima in (0, 1)
- Cone local maximum in (0, 1)
- Dno local minimum in (0, 1)
Solution & Step-by-step Explanation
Local Extrema Analysis Using Derivatives
We are given a real-valued function
Function Derivative Conditions
- There exists a point
- The second derivative,
Second Derivative Test Application
The Second Derivative Test is a standard calculus tool used to classify critical points:
- If
- If
In this specific problem, we know
By applying the Second Derivative Test, the conditions
One Local Minimum Guarantee
The condition that
A function that is strictly increasing can only cross the x-axis (equal zero) at a single point. Since we are given that
Consequently, there can be only one local extremum (which we've established is a minimum) within the interval
Derivative Properties Summary
- The given condition
- The condition
- The fact that
Therefore, the function
We are given a real-valued function
f(x) with specific properties related to its derivatives on the interval (0, 1).Function Derivative Conditions
- There exists a point
x0 within the interval (0, 1) such that f'(x0) = 0. This identifies x0 as a critical point, a potential location for a local maximum or minimum.- The second derivative,
f"(x), is strictly positive (f"(x) > 0) for all values of x within the interval (0, 1). This indicates the function is concave upwards on this interval.Second Derivative Test Application
The Second Derivative Test is a standard calculus tool used to classify critical points:
- If
f'(c) = 0 and f''(c) > 0, the function f(x) has a local minimum at the point x = c.- If
f'(c) = 0 and f''(c) < 0, the function f(x) has a local maximum at the point x = c.In this specific problem, we know
f'(x0) = 0. Furthermore, because f"(x) > 0 for all x in (0, 1), this inequality must also hold true for x0, meaning f''(x0) > 0.By applying the Second Derivative Test, the conditions
f'(x0) = 0 and f''(x0) > 0 definitively indicate that f(x) possesses a local minimum at x = x0.One Local Minimum Guarantee
The condition that
f"(x) > 0 holds for the entire interval (0, 1) has an important implication: the function f(x) is strictly concave upwards everywhere in this interval. This concavity also means that its first derivative, f'(x), is a strictly increasing function on (0, 1).A function that is strictly increasing can only cross the x-axis (equal zero) at a single point. Since we are given that
f'(x0) = 0, it follows that x0 is the unique point within the interval (0, 1) where the derivative equals zero.Consequently, there can be only one local extremum (which we've established is a minimum) within the interval
(0, 1).Derivative Properties Summary
- The given condition
f'(x0) = 0 establishes x0 as a critical point.- The condition
f"(x) > 0 confirms that the function is concave up, classifying the critical point x0 as a local minimum.- The fact that
f"(x) > 0 applies across the whole interval guarantees that x0 is the only critical point, hence the only local minimum.Therefore, the function
f(x) has exactly one local minimum in (0, 1).