Let $h(x)$ be real-valued, monotonically-decreasing function on the non-negative reals such that $\int_{0}^{\infty} x^{k+1} h(x) \, dx$ is convergent for some positive integer $k$.
Does it follow that there exists $\beta > 0$ such that $h(x) = O\!\left( \frac{1}{x^{k+2+\beta}} \right)$ as $x \to \infty$?
Remark: Naively, $h(x)$ needs to decrease to zero sufficiently quickly to override the growth of $x^{k+1}$ ... but I'm worried about whether I've accidentally asserted the existence of a "slowest function with a converging integral" (which doesn't exist - this question and this question).
Why I am asking: I have a function $f(x)$ and am seeking to establish whether $\int_{0}^{\infty} x^{k} f(x) \, dx$ is convergent. I applied integration by parts to the finite integral $$\begin{align*} \int_{0}^{t} x^{k} f(x) \, dx &= \left[ \frac{x^{k+1} f(x)}{k+1} - \int \frac{x^{k+1}}{k+1} f'(x) \, dx \right]_{0}^{t} \\&= \frac{t^{k+1} f(t)}{k+1} - \int_{0}^{t} \frac{x^{k+1}}{k+1} f'(x) \, dx \end{align*}$$ From other information, I know that $f'(x)$ is monotonically decreasing, $\int_{0}^{\infty} x^{k+1} f'(x) \, dx$ is convergent and $f(t) \to 0$ as $t \to \infty$. (In fact in my particular application, $f'(x)$ turns out to be the tail probability of a cumulative distribution function on the non-negative reals.) But I appear to need to know how quickly $f(t)$ tends to zero if I'm to conclude that the first term on the right-hand side has a finite limit as $t \to \infty$. I'm hoping that this information can be deduced from the convergence of $\int_{0}^{\infty} x^{k+1} f'(x) \, dx$.
(This question is a refinement of an earlier one. I am asking a new question as per guidance. The condition that $h(x)$ is monotonically decreasing was added after I realized I forgot it, following comments by @user10354138. Many thanks in advance.)
Edit: See this question & answer for a revised question that got to an answer that I applied.