To solve this problem, we start by analyzing the information given about the function \( y(x) \). We know that:
- \( y : \R \to \R \) is a twice differentiable function.
- \( y''(x) \) is continuous on the interval \([0, 1]\), and \( y(0) = y(1) = 0 \).
- It is given that \( y''(x) + x^2 < 0 \) for all \( x \in [0, 1] \).
Let's analyze what \( y''(x) + x^2 < 0 \) implies:
- Rewriting, we have \( y''(x) < -x^2 \). Since \( x^2 \) is non-negative for \( x \in [0, 1] \), this implies \( y''(x) \) is strictly negative.
Since \( y''(x) < 0 \), this implies that \( y'(x) \) is a decreasing function over the interval \([0, 1]\).
Additionally, since \( y(0) = 0 \) and \( y(1) = 0 \), it means that as per the boundary conditions, the function value returns to zero at both ends of the interval:
- At \( x = 0 \), the function starts from 0.
- At \( x = 1 \), the function ends at 0.
To understand the behavior of \( y(x) \), consider the implications of \( y''(x) < 0 \):
- The function \( y'(x) \) is decreasing on \([0, 1]\), which means it reaches a maximum value at some point \( c \in (0, 1) \). Since the values return to zero, this maximum implies positivity in the middle of the interval.
- The condition given and combined continuity suggest that \( y(x) \) does not dip below the x-axis within this range.
Given that \( y(x) \) is continuous and differentiable, and \( y''(x) < 0 \) ensures a pure downward concavity, it ensures \( y(x) \) would be positive for all \( x \in (0,1) \).
Therefore, the correct statement regarding the function \( y(x) \) is:
- \( y(x) > 0 \) for all \( x \in (0, 1) \).