$ \newcommand{\bR}{\mathbb{R}} \newcommand{\diff}{\mathop{}\!\mathrm{d}} $ We fix $\alpha \in (0, 1)$ and $c>0$. Let $\ell : \bR^d \to \bR_+$ be a probability density function such that $$ \|\ell\|_{\infty} + \sup_{\substack{x, y \in {\bR}^d \\ x \neq y}} \frac{| \ell (x)-\ell (y)|}{|x-y|^\alpha} + \int_{\bR^d} |x| \ell (x) \diff x \le c. $$
Let $(p_t)_{t>0}$ be the standard Gaussian heat kernel on $\bR^d$, i.e., $$ p_t (x) := \frac{1}{(4 \pi t)^{\frac{d}{2}}} \exp \left ( -\frac{|x|^2}{4 t} \right ). $$
We denote by $*$ the convolution operation and let $\ell_t := \ell * p_t$.
Is there a constant $c_1>0$ (depending on $d, \alpha, c$) such that we have for $s, t\in [0, 1]$: $$ \int_{\bR^d} (1 + |x|) |\ell_t (x) - \ell_s (x)| \diff x \le c_1 |t-s|^{\frac{\alpha}{2}} \, ? $$
Thank you for your elaboration.