Evaluating monotonicity of f(x)
The function is given as f(x) = e^x + ax^2 - x. For part (1), with a = 1, f(x) becomes e^x + x^2 - x.
Next, I calculate the derivative: f'(x) = e^x + 2x - 1. Setting f'(x) = 0, I find that at x = 0, f'(0) = 0. Then, f''(x) = e^x + 2, which is always positive, meaning f(x) is strictly decreasing for x < 0 and increasing for x > 0.
Solving inequality for a
So, for part (2), I have f(x) = e^x + ax^2 - x and want to ensure that f(x) >= (1/2)x^3 + 1 for x >= 0. This involves analyzing the function F(x) = e^x - 1 - x - (1/2)x^3 + ax^2. The first part requires F'(0) = 0, and then F''(0) must be greater than or equal to 0, giving a condition that a >= -1/2. For small x, the dominant term is x^2(a + 1/2), so a >= -1/2 ensures F(x) stays non-negative at x = 0. For large x, e^x dominates, keeping the function positive overall.
Finding condition for a
So I’m considering the inequality e^x + ax^2 - x >= (1/2)x^3 + 1 for x >= 0. I start with F(x) = e^x - 1 - x - (1/2)x^3 + ax^2 and analyze the derivatives. First step: the second derivative F''(x) must be non-negative for F(x) to be convex. From the analysis, I find that a should be greater than or equal to -1/2 for convexity near 0. For larger x, the exponential function ensures positivity, so a > -1/2 works as a condition for this inequality.
Determining the condition for a
For part (2), I analyze the inequality f(x) ≥ (1/2)x^3 + 1. After examining the derived function A(x) and its maximum value, I find that it behaves differently as x approaches 0 and infinity. The critical point occurs around x = 2, where A(x) achieves a maximum value of approximately -0.0973. Therefore, the condition for the inequality to hold true for all x ≥ 0 is that a must be greater than or equal to -0.0973.
Reasoned for 38 seconds