1 Introduction
We will study the following space–time fractional equation:
with the initial condition $\varphi (\cdot )$ and the nonhomogeneous term $f(\cdot ,\cdot )$ . Here, $(-\Delta )^{\alpha /2}$ denotes the fractional Laplacian, and the symbol $\partial ^{\beta }_{t}$ denotes the Caputo fractional derivative defined as
When $\beta =1$ and $\alpha =2,$ (1.1) is the classical heat equation, which is extremely important in many areas of mathematics, physics, fluid dynamics, and engineering. When ${\beta =1}$ and $\alpha \in (0,2),$ (1.1) reduces to the space-fractional heat equation, which has been applied to the research of fluid dynamics (see [Reference Constantin and Wu18, Reference Li and Zhai48, Reference Miao, Yuan and Zhang52, Reference Tran, Yu and Zhai60, Reference Wang and Xiao62] and the references therein). When $\beta \in (0,1)$ and $\alpha =2,$ (1.1) becomes the time-fractional heat equation
which exhibits the subdiffusive behavior and is related with anomalous diffusion, or diffusion in nonhomogeneous media, with random fractal structures (cf. [Reference Meerschaert, Nane and Xiao51]).
The time–space fractional dissipative operator
has the salient significance and backgrounds in mathematical physics. The fractional Laplacian $(-\Delta )^{\alpha }$ plays a significant role in many areas of mathematics, such as harmonic analysis and PDEs. In addition, the fractional Laplacian has been applied to study a wide class of physical systems and engineering problems, including Lévy flights, stochastic interfaces, and anomalous diffusion problems. For example, in fluid mechanics, $(-\Delta )^{\alpha }$ is often applied to describe many complicated phenomena via partial differential equations. Caffarelli and Silvestre showed in [Reference Caffarelli and Silvestre10] that any fractional power of the Laplacian can be determined as an operator that maps a Dirichlet boundary condition to a Neumann-type condition via an extension problem. This characterization of $(-\Delta )^{\alpha }$ via the local (degenerate) PDE was first used in [Reference Caffarelli, Salsa and Silvestre9] to get regularity estimates of the obstacle problem for the fractional Laplacian. We also refer the reader to [Reference Caffarelli and Stinga11, Reference Caffarelli and Vasseur12, Reference Herrmann34, Reference Ros-Oton and Serra56] for further information on applications of the fractional Laplacian in PDEs.
The Caputo fractional derivative $\partial ^{\beta }_{t}$ was introduced by Caputo [Reference Caputo13] when studying some anelastic materials and soon became a popular tool in engineering (see also [Reference Bernardis, Martín-Reyes, Stinga and Torrea8, Reference Gorenflo, Luchko and Yamamoto30, Reference Kilbas, Srivastava and Trujillo41, Reference Li and Liu45] for generalizations of Caputo derivatives). Similar to the ordinary derivative $\partial _{t}$ , the Caputo derivative is suitable for initial value problems, and is extremely important in physical systems (cf. [Reference Li, Liu and Lu46]) since the derivatives paired with fractional Brownian noise must be Caputo derivatives in physical systems which are different from those in the financial model (see [Reference Dung21]). For this reason, the time-fractional calculus is widely used in a rather large number of scientific branches, such as statistical mechanics, theoretical physics, theoretical neuroscience, the theory of complex chemical reactions, fluid dynamics, hydrology, and mathematical finance (see, e.g., [Reference Khoshnevisan40] for an extensive list of references).
In recent years, fractional partial differential equations with Caputo time derivatives have attracted the attention of many researchers. There exist many related results on this topic. In [Reference Allen, Caffarelli and Vasseur6], Allen et al. established a De Giorgi–Nash–Moser Hölder regularity theorem for solutions and also proved results regarding the existence, the uniqueness, and higher regularities in time. Eidelman and Kochubei in [Reference Eidelman and Kochubei22] provided fundamental solutions of the Cauchy problem of fractional diffusion equations. Chen et al. [Reference Chen, Kim and Kim17] proved the existence and uniqueness of solutions to a class of SPDEs with time-fractional derivatives. Li and Liu in [Reference Li and Liu44] developed some compactness criteria that are analogies of the Aubin–Lions lemma for the existence of weak solutions to time-fractional PDEs. In [Reference Allen5], Allen proved the uniqueness for weak solutions to abstract parabolic equations with fractional Caputo or Marchaud time derivatives. Interested readers can also refer to [Reference Dung21, Reference El-Borai23, Reference Feng, Li, Liu and Xu24, Reference Ford, Xiao and Yan26, Reference Galeone and Garrappa27, Reference Gorenflo, Mainardi, Moretti and Paradisi31, Reference Hairer32, Reference Nualart and Ouknine55, Reference Sakthivel, Suganya and Anthoni57, Reference Taylor59, Reference Wang and Zhou61].
Compared with the aforesaid achievements, the study of space–time fractional PDEs with the Caputo time derivative and the fractional Laplacian on spatial variables is relatively few. In [Reference Kolokoltsov and Veretennikova42], Kolokoltsov and Veretennikova studied the Cauchy problem for nonlinear in time and space pseudo-differential equations and analyzed the well-posedness and smoothing properties of the corresponding linear equation. For a nonlocal heat equation with fractional order both in space and time, Kemppainen et al. [Reference Kemppainen, Siljander and Zacher39] proved a representation formula for classical solutions, a quantitative decay rate at which the solution tends to the fundamental solution, an optimal $L^2$ -decay of mild solutions in all dimensions, and $L^2$ -decay of weak solutions via energy methods. For a system of nonlinear space–time fractional SPDEs, Mijena and Nane in [Reference Mijena and Nane53] proved the existence and the uniqueness of the mild solution, and the bounds for intermittency fronts solutions to these equations were investigated in [Reference Mijena and Nane54]. For space–time fractional SPDEs in a Gaussian noisy environment, Chen et al. in [Reference Chen, Hu, Hu and Huang16] proved the existence and the uniqueness of solutions. Foondun and Nane [Reference Foondun and Nane25] studied the asymptotic properties of space–time fractional SPDEs. Time-fractional Hamilton–Jacobi equations and the notion of viscosity solutions have been discussed in [Reference Giga and Namba28, Reference Kolokoltsov and Veretennikova43].
Different from the abovementioned works on space–time fractional equations, in this paper, we aim to investigate the regularity properties and the blow-up set of solutions to equation (1.1) via capacities. This work is closely motivated by [Reference Chang and Xiao15, Reference Jiang, Xiao, Yang and Zhai35, Reference Johnson36, Reference Xiao64, Reference Xiao65]. Using the fractional Duhamel principle, the mild solution of (1.1) is represented as
Let $f(t,x)=I^{1-\beta }_{t}g(t,x)$ , where $I^{1-\beta }_{t}$ denotes the fractional integral corresponding to the time variable t. Then
Set
Under the assumption that $\alpha>n$ and $\beta \in (0,1)$ , we first establish the homogeneous and inhomogeneous Strichartz-type estimates for (1.1), some other space–time estimates of $G_{\alpha ,\beta }(g)$ , and the regularity of $R_{\alpha ,\beta }(\varphi )$ and $G_{\alpha ,\beta }(g),$ respectively. Strichartz-type estimates are significant tools for PDEs, such as nonlinear wave equations and Schrödinger equations (see [Reference Ginibre and Velo29, Reference Kato37, Reference Keel and Tao38, Reference Miao, Yuan and Zhang52, Reference Staffilani and Tataru58, Reference Zhai66]). In [Reference Foondun and Nane25], Foondun and Nane proved that the space–time fractional heat kernel $G_{t}(\cdot )$ satisfies the following estimate:
It follows from (1.4) and the Young inequality that
Inequality (1.5) allows us, in Section 2.2, to deduce the Strichartz-type estimates and the space–time estimates for $R_{\alpha ,\beta }$ and $G_{\alpha ,\beta }$ related to $L^{q}_{t}(I; L^{p}_{x}(\mathbb R^{n}))$ , respectively. Here, the mixed norm Lebesgue space $L^{q}_{t}(I; L^{p}_{x}(\mathbb R^{n}))$ , $1\leq p,q\leq \infty ,$ is defined as the set of all measurable functions $g(\cdot ,\cdot )$ over an interval $I\subseteq (0,\infty )$ satisfying
Specially, for $I=(0,\infty )$ , we denote $L^{q}_{t}((0,\infty ); L^{p}_{x}(\mathbb R^{n}))$ by $L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+}).$ These space–time estimates obtained in Section 2.2 will be used to compute the lower bound of the capacities of fractional parabolic balls. Moreover, we investigate the regularities of $R_{\alpha ,\beta }$ and $G_{\alpha ,\beta }$ . By the aid of fractional heat kernels $K_{\alpha ,t}(\cdot )$ , in Proposition 2.11, we prove that there exist positive constants C and $\delta $ such that for $|h|<t^{\beta /\alpha }$ ,
which, together with the estimate
implies that $R_{\alpha ,\beta }(\varphi )$ is continuous on $\mathbb R^{1+n}_{+}$ for $\varphi \in L^{p}_{x}(\mathbb R^{n})$ (see Theorem 2.12). Let $p\in [1,\infty )$ , $1<q<\infty $ , $n\beta /p+\alpha /q<\alpha $ , $(t,x)\in \mathbb R^{1+n}_{+}$ , and $\|g\|_{L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})}<\infty $ . For the inhomogeneous part $G_{\alpha ,\beta }$ , under the assumption that $(t,x)$ is sufficiently close to $(t_{0}, x_{0})$ , the following Hölder continuity holds, precisely:
(see Theorem 2.13).
Theorems 2.12 and 2.13 indicate that the blow-up phenomenon of mild solutions to (1.1) merely occurs on the nonlinear part of (1.3), i.e., $G_{\alpha ,\beta }(g)$ for $n\beta /p+\alpha /q>\alpha $ . Based on this observation, in Section 3, we introduce the following blow-up set, denoted by $\mathcal {B}[G_{\alpha ,\beta }(g), p,q]$ , of solutions to equation (1.1):
for nonnegative functions $g(\cdot ,\cdot )\in L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ . We apply capacities to measure the size, i.e., the Hausdorff dimension, of $\mathcal {B}[G_{\alpha ,\beta }(g), p,q]$ . In the literature, capacities related to operators and given function spaces are widely applied in the research of the potential theory and partial differential equations. For example, the Besov-type capacities $cap(\cdot; \dot {\Lambda }^{p,q}_{\alpha })$ were used to establish the embedding of homogeneous Besov spaces into Lorentz spaces with respect to nonnegative Borel measures (see [Reference Adams and Xiao4, Reference Maz’ya50, Reference Wu63, Reference Xiao65]). The embedding of Sobolev spaces via heat equations and the p-variational capacity was due to Xiao [Reference Xiao64, Reference Xiao65]. In [Reference Dafni, Karadzhov and Xiao20], Dafni et al. introduced a class of measures generated by Riesz, or Bessel, or Besov capacities, and established geometric characterizations of these measures. For further information on this topic, we refer the reader to [Reference Adams1, Reference Chang and Xiao15, Reference Costea19, Reference Li, Shi, Hu and Zhai47, Reference Zhai67] and the references therein.
To measure the Hausdorff dimension of the blow-up set of the wave equation, in [Reference Adams2], Adams introduced a class of capacities related to the wave operator $\square $ and $L^{q}_{t}L^{p}_{x}$ -norm spaces, and studied the size (in terms of Hausdorff content) of the blow-up sets of weak solutions to the nonhomogeneous wave equation in three space dimensions. By a similar idea, Jiang et al. [Reference Jiang, Xiao, Yang and Zhai35] applied the $L^{q}_{t}L^{p}_{x}$ -type capacities to investigate the blow-up set of a weak solution to the special case $\beta =1$ of equation (1.1). Following the idea of [Reference Adams2, Reference Jiang, Xiao, Yang and Zhai35], we introduce the following $L^{q}_{t}L^p_{x}$ -capacity associated with $G_{\alpha ,\beta }.$
Definition 1.1 Let $1\leq p,q<\infty $ . Denote by $p\wedge q:=\min \{p,q\}$ . For any set $E\subset \mathbb R^{n+1}_{+}$ , define
be the $L^{q}_{t}L^{p}_{x}$ -capacity of E for the space–time fractional dissipative operator, where $1_{E}$ is the characteristic function of E.
In Sections 3.1–3.3, we study the dual form, the basic properties of the $L^{q}_{t}L^p_{x}$ -capacity $C^{(\alpha ,\beta )}_{p,q}(\cdot )$ , and further, utilize Theorem 2.6 to estimate the $L^{q}_{t}L^p_{x}$ -capacities of fractional parabolic balls $B^{(\alpha ,\beta )}_{r_{0}}(t_{0},x_{0})$ . In Section 3.4, denote by $E_{\lambda }$ with $ \lambda>0,$ the distribution set of $G_{\alpha ,\beta }$ , i.e.,
Let $1\leq p,q<\infty $ , $\alpha>n$ and $\beta \in (0,1)$ . We obtain the following capacitary strong-type inequality:
(see Theorem 3.8). As a corollary of Theorem 3.8, in Theorem 3.10, we deduce an equivalent condition of the embedding from $L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ to Lorentz spaces $L^{(r,s)}(\mathbb R^{1+n}_{+},\mu )$ . By use of the results obtained in Sections 3.2 and 3.3, we obtain that the Hausdorff dimension of $\mathcal {B}[G_{\alpha ,\beta }(g), p,q]$ is dominated by $n\beta -\alpha (p\wedge q-1)$ under the assumption that $1\leq p<\infty $ and $1<q<\infty $ with $\alpha>n$ and $(p\wedge q)(n\beta /p+\alpha /q-\alpha )>0$ (see Theorem 4.2).
Remark 1.2
-
(i) In the main results of this paper, we restrict the scope of the index $(\alpha ,\beta )$ to $(n,\infty )\times (0,1)$ . For equation (1.1), there are many important cases concerning $\alpha \leq n$ . However, for the characterization of (1.1) via the capacity, we need the convolution kernel $G_{t}(\cdot )$ satisfies the upper bound estimate:
$$ \begin{align*} G_{t}(x)\leq \frac{Ct^{\beta}}{(|x|+t^{\beta/\alpha})^{n+\alpha}}, \end{align*} $$which is true for $\alpha>n$ .
-
(ii) The results in the paper are stated for assumptions on $g(\cdot ,\cdot )\in L^{q}_{t}L^{p}_{x}(\mathbb R^{n+1}_{+})$ . In fact, we can replace this assumption by the assumption that the nonhomogeneous term $f(\cdot ,\cdot )$ satisfies
$$ \begin{align*} \left(\int_{0}^{\infty}\left(\int_{\mathbb R^{n}}|\partial_{t}^{1-\beta}f(t,x)|^{p}dx\right)^{q/p}dt\right)^{1/q}<\infty, \end{align*} $$which indicates $g(\cdot ,\cdot )\in L^{q}_{t}L^{p}_{x}(\mathbb R^{n+1}_{+})$ .
Some notations:
-
• Let $\Omega \subseteq \mathbb R^{n}$ . Throughout this article, we use ${C}(\Omega )$ to denote the space of all continuous functions on $\Omega $ . Let $k\in \mathbb {N}_{+}\cup \{\infty \}$ . The symbol ${C}^{k}(\Omega )$ denotes the class of all functions $f:\ \Omega \rightarrow \mathbb {R}$ with k continuous partial derivatives. Let $C^{\infty }_{0}(\Omega )$ stand for all infinitely smooth functions with compact supports in $\Omega $ .
-
• For $1\leq p\leq \infty $ , denote by $p'$ the conjugate number of p, i.e., $1/p+1/p'=1$ . ${\mathsf U}\simeq {\mathsf V}$ represents that there is a constant $c>0$ such that $c^{-1}{\mathsf V}\le {\mathsf U}\le c{\mathsf V}$ whose right inequality is also written as ${\mathsf U}\lesssim {\mathsf V}$ . Similarly, one writes ${\mathsf V}\gtrsim {\mathsf U}$ for ${\mathsf V}\ge c{\mathsf U}$ .
-
• For convenience, the positive constant C may change from one line to another and usually depends on the dimension n, $\alpha $ , $\beta $ , and other fixed parameters. For $f\in \mathscr {S}(\mathbb {R}^{n})$ , $\widehat {f}$ means the Fourier transform of f.
2 Regularity estimates
In this section, we investigate the regularity of solutions to (1.1). We first state some preliminaries which will be used in the sequel. For further information, we refer the reader to [Reference Foondun and Nane25] and the references therein.
2.1 Basic estimates of the space–time fractional heat kernel
Let $X_{t}$ denote a symmetric $\alpha $ stable process with the density function denoted by $K_{\alpha /2,t}(\cdot )$ . This is characterized through the Fourier transform, which is given by
Let $D=\{D_{r}, r\geq 0\}$ denote a $\beta $ -stable subordinator, and let $E_{t}$ be its first passage time. It is well known that the density of the time changed $X_{E_{t}}$ is given by $G_{t}(x)$ . By conditioning, we have
where
Here, $g_{\beta }(\cdot )$ is the density function of $D_{1}$ and is infinitely differentiable on the entire real line, with $g_{\beta }(u)=0$ for $u\leq 0$ . Moreover,
Another explicit description of the heat kernel $G_{t}(\cdot )$ is as follows. Denote by $\widetilde {(\cdot )}$ the Laplace transform. Then
Inverting the Laplace transform yields the Fourier transform of $G_{t}(\cdot )$ is $\widehat {G_{t}}(\xi )=E_{\beta }(-\nu |\xi |^{\beta }t^{\beta }),$ where $E_{\beta }(\cdot )$ is the Mittag–Leffler function, which is defined as
Let $H^{m,n}_{p,q}$ denote the H-function given in [Reference Mathai and Haubold49, Definition 1.9.1, p. 55]. By the formula
it can be deduced from the cosine transform of the H-function (cf. [Reference Haubold, Mathai and Saxena33, equation (12.9)]) that
Specially, by reduction formula for the H-function, we can get, for $\alpha =2$ ,
Foondun and Nane [Reference Foondun and Nane25] obtained the following estimate for $G_{t}(\cdot )$ .
Proposition 2.1 [Reference Foondun and Nane25, Lemma 2.1]
Let $\beta \in (0,1)$ .
-
(i) There exists a positive constant $C_{1}$ such that for all $x\in \mathbb R^{n}$ ,
(2.3) $$ \begin{align} G_{t}(x)\geq C_{1}\min\left\{t^{-\beta n/\alpha},\ \frac{t^{\beta}}{|x|^{n+\alpha}}\right\}. \end{align} $$ -
(ii) If we further suppose that $\alpha>n$ , then there exists a positive constant $C_{2}$ such that for all $x\in \mathbb R^{n}$ ,
(2.4) $$ \begin{align} G_{t}(x)\leq C_{2}\min\left\{t^{-\beta n/\alpha},\ \frac{t^{\beta}}{|x|^{n+\alpha}}\right\}. \end{align} $$
The following is an immediate corollary of Proposition 2.1.
Corollary 2.2 Let $\alpha>n$ and $\beta \in (0,1)$ . Then
Proof Below, we always assume that $\alpha>n$ . By (i) of Proposition 2.1, it holds
On the other hand, it can be deduced from (ii) of Proposition 2.1 that
Finally,
which, via a direct computation, gives
In the following, we assume $\alpha>n.$ We can deduce the following lemma from Corollary 2.2.
Lemma 2.3 Let $1\leq r\leq p\leq \infty $ and $\varphi \in L^{r}(\mathbb R^{n})$ . For $\alpha>n$ , $\beta \in (0,1)$ , and $t>0$ ,
Proof Let q obey $1/r+1/q=1/p+1$ . By Young’s inequality,
It follows from Corollary 2.2 that
which implies
2.2 Strichartz-type estimates
In this section, we establish homogeneous and inhomogeneous Strichartz-type estimates.
Definition 2.4 Let $\mathbb X$ be a Banach space, and let $I=[0, T)$ .
-
(i) The space $C_{\sigma }(I, \mathbb X)$ is defined as the set of all $f\in C(I; \mathbb X)$ such that
$$ \begin{align*} \|f\|_{C_{\sigma}(I; \mathbb X)}:=\sup_{t\in I}t^{1/\sigma}\|f(t,\cdot)\|_{\mathbb X}<\infty. \end{align*} $$ -
(ii) The space $C_{0}(I; \mathbb X)$ is defined as the set of all bounded continuous functions from I to $\mathbb X$ .
For $R_{\alpha ,\beta }(\varphi )$ , we can prove the following Strichartz-type estimates.
Theorem 2.5 Assume that $\alpha>n$ and $0<\beta <1$ . Let $1\leq r\leq p<\infty $ satisfying $1/q=\beta n(1/r-1/p)/\alpha $ . Given $\varphi \in L^{r}(\mathbb R^{n})$ and $I=[0,T)$ with $0<T\leq \infty $ .
-
(i) $R_{\alpha ,\beta }(\varphi )\in L^{q}_{t}(I; L^{p}_{x}(\mathbb R^{n}))\cap C_{0}(I; L^{r}_{x}(\mathbb R^{n}))$ with the estimate
$$ \begin{align*} \|R_{\alpha,\beta}(\varphi)\|_{L^{q}_{t}(I; L^{p}_{x}(\mathbb R^{n}))}\lesssim \|\varphi\|_{L^{r}_{x}(\mathbb R^{n})}. \end{align*} $$ -
(ii) $R_{\alpha ,\beta }(\varphi )\in C_{q}(I; L^{p}_{x}(\mathbb R^{n}))\cap C_{0}(I; L^{r}_{x}(\mathbb R^{n}))$ with the estimate
$$ \begin{align*} \|R_{\alpha,\beta}(\varphi)\|_{C_{q}(I; L^{p}_{x}(\mathbb R^{n}))}\lesssim \|\varphi\|_{L^{r}_{x}(\mathbb R^{n})}. \end{align*} $$
Proof (i) We divide the argument into two cases.
Case 1: $p=r$ and $q=\infty $ . By Lemma 2.3, we obtain
Case 2: $p\neq r$ . Denote $F(t)(\varphi )=\|R_{\alpha ,\beta }(\varphi )\|_{L^{p}_{x}(\mathbb R^{n})}$ . Since $1/q=\beta n(1/r-1/p)/\alpha $ , a further use of Lemma 2.3 can deduce that
It follows from (2.6) that $F(t)$ is a weak $(r,q)$ -type operator since
On the other hand, the inequality
implies that
which means that $F(t)$ is a $(p,\infty )$ -type operator.
We can find another triplet $(q_{1}, p, r_{1})$ such that $q_{1}<q<\infty $ and $r_{1}<r<p$ satisfying
The Marcinkiewicz interpolation theorem implies that $F(t)$ is a strong $(r,q)$ -type operator and
(ii) The argument can be also divided into two cases.
Case 3: $p=r$ and $q=\infty $ . We have
Case 4: $p\neq r$ . Because $1/q=\beta n(1/r-1/p)/\alpha $ , upon taking $q^\ast $ such that $1/p+1=1/r+1/q^\ast $ , we obtain
On the other hand, for $t\in I$ , $\|R_{\alpha ,\beta }(\varphi )\|_{L^{r}_{x}(\mathbb R^{n})}\lesssim \|\varphi \|_{L^{r}_{x}(\mathbb R^{n})}.$ Consequently, $R_{\alpha ,\beta }(\varphi )\in C_{0}(I; L^{r}_{x}(\mathbb R^{n}))$ .
We then give the following Strichartz-type estimate for $G_{\alpha ,\beta }(g).$
Theorem 2.6 Assume that $\alpha>n$ and $0<\beta <1$ . If $(q,p)$ and $(\widetilde {q}, \widetilde {p}\kern1pt)$ satisfy
then
Proof An application of Lemma 2.3 yields
It follows from the boundedness of fractional integrals that
which finishes the proof.
2.3 Other space–time estimates for $G_{\alpha ,\beta }$
We will establish the following space–time estimate for $G_{\alpha ,\beta }.$
Theorem 2.7 Given $\alpha>n$ and $0<\beta <1$ . For $b>0$ and $T>0$ , let $r_{0}=n\beta b/\alpha $ and $I=[0, T)$ . Assume that $r\geq r_{0}>1$ and that $(q,p,r)$ is a triplet satisfying $1\leq r\leq p<\infty $ , $1/q=\beta n(1/r-1/p)/\alpha $ , and $p>b+1$ .
-
(i) If $g(\cdot ,\cdot )\in L^{q/(b+1)}_{t}(I; L^{p/(b+1)}_{x}(\mathbb R^{n}))$ , then
$$ \begin{align*} &\|G_{\alpha,\beta}(g)\|_{L^{\infty}_{t}(I; L^{r}_{x}(\mathbb R^{n}))}\\&\quad\lesssim \left\{\begin{aligned} &T^{1-\beta nb/(r\alpha)}\|g\|_{L^{q/(b+1)}_{t}(I; L^{p/(b+1)}_{x}(\mathbb R^{n}))}, &p<r(b+1),\\ &T^{1-n\beta b/(r\alpha)}\Big\||g|^{1/(b+1)}\Big\|^{\theta(b+1)}_{L^{\infty}_{t}(I; L^{r}_{x}(\mathbb R^{n}))}\cdot\Big\||g|^{1/(b+1)}\Big\|^{(1-\theta)(b+1)}_{L^{q}_{t}(I; L^{p}_{x}(\mathbb R^{n}))}, &p\geq r(b+1), \end{aligned}\right. \end{align*} $$where $\theta =(p/(b+1)-r)/(p-r)$ .
-
(ii) If $g(\cdot ,\cdot )\in L^{q/(b+1)}_{t}(I; L^{p/(b+1)}_{x}(\mathbb R^{n}))$ , then
$$ \begin{align*}&\|G_{\alpha,\beta}(g)\|_{L^{q}_{t}(I; L^{p}_{x}(\mathbb R^{n}))}\\&\quad\lesssim \left\{\begin{aligned} &T^{1-nb\beta/(r\alpha)}\|g\|_{L^{q/(b+1)}_{t}(I; L^{p/(b+1)}_{x}(\mathbb R^{n}))}, &p<r(b+1),\\ &T^{1-nb\beta/(r\alpha)}\Big\||g|^{1/(b+1)}\Big\|^{\theta(b+1)}_{L^{\infty}_{t}(I; L^{r}_{x}(\mathbb R^{n}))}\cdot\Big\||g|^{1/(b+1)}\Big\|^{(1-\theta)(b+1)}_{L^{q}_{t}(I; L^{p}_{x}(\mathbb R^{n}))}, &p\geq r(b+1), \end{aligned}\right.\end{align*} $$where $\theta =(p/(b+1)-r)/(p-r)$ .
Proof (i) For the case $p<r(b+1)$ , we have
Take $q^\ast $ such that $(b+1)/p+1/q^{\ast }=1+1/r$ . Then, by Lemma 2.3,
which implies that
Let $\widetilde {q}$ be the conjugate of $q/(b+1)$ , i.e., $(b+1)/q+1/\widetilde {q}=1$ . Because $r>r_{0}:=b\beta n/\alpha $ , then
A direct computation, together with change of variables, gives
Then we obtain
where in the last inequality we have used the fact that
When $p\geq r(b+1)$ , Lemma 2.3 gives
Notice that $\|g(s,\cdot )\|_{L^{r}_{x}(\mathbb R^{n})}=\||g(s,\cdot )|^{1/(b+1)}\|_{L^{r(b+1)}_{x}(\mathbb R^{n})}^{b+1}.$ Hence,
Take $\theta \in (0,1)$ such that $1/(rb+r)=\theta /r+(1-\theta )/p$ . Let $p_{1}=(b(1+\theta ))^{-1}$ and $q_{1}=p/(r(b+1)(1-\theta ))$ such that $1/p_{1}+1/q_{1}=1$ . Applying Hölder’s inequality on the spatial variable, we obtain
which indicates that
Since $1/q=\beta n(1/r-1/p)/\alpha $ and $\theta =(p-rb-r)/((p-r)(b+1))$ , then
This completes the proof of (i).
(ii) For the case $p<r(b+1)$ , using Minkowski’s inequality and Lemma 2.3, we obtain
Let $\chi $ be the number such that $1/q+1=(1+b)/q+1/\chi $ . An application of Young’s inequality gives
where in the last inequality we have used the fact that $1/q=n\beta (1/r-1/p)/\alpha $ .
For the case $p\geq r(b+1)$ , we apply Lemma 2.3 again to get
Choose $\theta \in (0,1)$ such that $1/(b+1)=\theta +(1-\theta )r/p$ . Letting $p_{2}=(b+b\theta )^{-1}$ and $q_{2}=p/(r(b+1)(1-\theta ))$ , we use Hölder’s inequality on the spatial variable to deduce
which gives
Suppose that $\widetilde {\chi }$ obeys $1/q+1=(1+b)(1-\theta )/q+1/\widetilde {\chi }$ . Young’s inequality on the time variable gives
where in the last inequality we have used the fact that $1/\widetilde {\chi }-n\beta (1/r-1/p)/\alpha =1-b\beta n/(r\alpha )$ . This completes the proof of Theorem 2.7.
Theorem 2.8 Let $\alpha>n$ and $0<\beta <1$ . For $b>0$ and $T>0$ , let $r_{0}=bn\beta /\alpha $ , $I=[0,T)$ . Assume that $r\geq r_{0}>1$ and $(q,p,r)$ is a triplet satisfying $1\leq r\leq p<\infty $ , $1/q=\beta n(1/r-1/p)/\alpha $ , and $p>b+1$ .
-
(i) If $g\in C_{q/(b+1)}(I; L^{p/(b+1)}_{x}(\mathbb R^{n}))$ , then
$$ \begin{align*} &\|G_{\alpha,\beta}(g)\|_{L^{\infty}_{t}(I; L^{r}_{x}(\mathbb R^{n}))}\\&\quad\lesssim \left\{\begin{aligned} &T^{1-b\beta n/(r\alpha)}\|g\|_{C_{q/(b+1)}(I; L^{p/(b+1)}_{x}(\mathbb R^{n}))},\ &p<r(b+1),\\ &T^{1-bn\beta/(r\alpha)}\big\||g|^{1/(b+1)}\big\|^{\theta(b+1)}_{L^{\infty}_{t}(I; L^{r}_{x}(\mathbb R^{n}))} \big\||g|^{1/(b+1)}\big\|^{(1-\theta)(b+1)}_{C_{q}(I; L^{r}_{x}(\mathbb R^{n}))},\ &p\geq r(b+1), \end{aligned} \right.\end{align*} $$where $\theta =(p/(b+1)-r)/(p-r)$ .
-
(ii) If $g\in C_{q/(b+1)}(I; L^{p/(b+1)}_{x}(\mathbb R^{n}))$ , then
$$ \begin{align*}&\|G_{\alpha,\beta}(g)\|_{C_{q}(I; L^{p}_{x}(\mathbb R^{n}))}\\&\quad\lesssim \left\{\begin{aligned} &T^{1-b\beta n/(r\alpha)}\|g\|_{C_{q/(b+1)}(I; L^{p/(b+1)}_{x}(\mathbb R^{n}))},\ &p<r(b+1),\\ &T^{1-bn\beta/(r\alpha)}\big\||g|^{1/(b+1)}\big\|^{\theta(b+1)}_{L^{\infty}_{t}(I; L^{r}_{x}(\mathbb R^{n}))} \big\||g|^{1/(b+1)}\big\|^{(1-\theta)(b+1)}_{C_{q}(I; L^{p}_{x}(\mathbb R^{n}))},\ &p\geq r(b+1), \end{aligned} \right.\end{align*} $$where $\theta =(p/(b+1)-r)/(p-r)$ .
Proof (i) We first consider the case $p<r(b+1)$ , and it follows from Lemma 2.3 that
which implies that
A direct computation, together with the change of variables: $u=s/t$ , gives
which indicates that
Now, we consider the case $p\geq (b+1)r$ . By Lemma 2.3, we have
If $\theta \in (0,1)$ , $p_{3}=\frac {1}{(b+1)\theta }$ , and $ q_{3}=\frac {p}{r(b+1)(1-\theta )}$ , then we obtain
Notice that $1-(b+1)(1-\theta )/q=1-b\beta n/(r\alpha )$ . An application of Hölder’s inequality gives
We begin to prove (ii). Let $g\in C_{q/(b+1)}(I; L^{p/(b+1)}_{x}(\mathbb R^{n}))$ . For the case $p<r(b+1)$ , we have
and hence
For the case $p\geq r(b+1)$ , it holds
Taking $\theta =(p-r(b+1))/(p-r)$ , we use the Hölder inequality to deduce
This completes the proof of Theorem 2.8.
2.4 Regularities of $R_{\alpha ,\beta }$ and $G_{\alpha ,\beta }$
At first, let us recall the following well-known estimates for the fractional heat kernel $K_{\alpha ,t}(\cdot )$ .
Proposition 2.9 [Reference Miao, Yuan and Zhang52, Lemmas 2.1 and 2.2]
Let $\alpha>0$ .
-
(i) There exists a constant C such that
$$ \begin{align*} \Big|K_{\alpha,t}(x)\Big|\simeq C\min\Bigg\{t^{-n/2\alpha},\ \frac{t}{|x|^{n+2\alpha}}\Bigg\}\simeq \frac{Ct}{(t^{1/2\alpha}+|x|)^{n+2\alpha}}. \end{align*} $$ -
(ii) For $\epsilon>0$ , there exists a constant $C>0$ such that for $|h|<t^{1/2\alpha }$ ,
$$ \begin{align*} \Big|K_{\alpha,t}(x+h)-K_{\alpha,t}(x)\Big|\leq \frac{Ct}{(t^{1/2\alpha}+|x|)^{n+2\alpha}}\left(\frac{|h|}{t^{1/2\alpha}}\right)^{\epsilon}. \end{align*} $$
Remark 2.10 It is easy to see that in (ii) of Proposition 2.9, the condition $|h|<t^{1/2\alpha }$ can be replaced by $|h|<|x|/2$ .
Below, we investigate the Hölder continuity of the kernel $G_{t}(\cdot )$ .
Proposition 2.11 Assume that $\alpha>n$ and $0<\beta <1$ . For $\epsilon \in (0, \alpha -n)$ , there exists a positive constant C such that for all $x\in \mathbb R^{n}$ and $|h|<t^{\beta /\alpha }$ ,
Proof We first verify (2.7) for $|h|<|x|/2$ . Recall that
where $f_{E_{t}}(x)=t\beta ^{-1}x^{-1-1/\beta }g_{\beta }(tx^{-1/\beta })$ . An application of change of variables gives
which, together with Proposition 2.9(i) with $\epsilon \in (0,\alpha -n)$ , implies that
where in the last inequality we have used the facts that $\alpha>n$ and $0<\epsilon <\alpha -n$ .
On the other hand, by Proposition 2.9,
and we have
Finally, it can be deuced from (2.8) and (2.9) that
equivalently,
Now, we assume that $|h|<t^{\beta /\alpha }$ . If $|h|<|x|/2<t^{\beta /\alpha }$ or $|h|<t^{\beta /\alpha }<|x|/2$ , it is obvious that (2.7) holds. Now, we consider the case $|x|/2<|h|<t^{\beta /\alpha }$ . We split $|G_{t}(x+h)-G_{t}(x)|\leq S_{1}+S_{2},$ where
For $S_{1}$ , since $|h|<(t/u)^{\beta /\alpha }$ , it follows from (ii) of Proposition 2.9 that
We further divide $S_{2}$ as $S_{2}\leq S_{2,1}+S_{2,2}$ , where
Noticing that $|h|\geq (t/u)^{\beta /\alpha }$ , we deduce from (2.5) that
The term $S_{2,2}$ can be dealt with similar to $S_{2,1}$ . Finally, due to $|x|/2<t^{\beta /\alpha }$ , it holds
which completes the proof of Proposition 2.11.
Theorem 2.12 Assume that $\alpha>n$ and $0<\beta <1$ . If $p\in [1,\infty ]$ and $\varphi \in L^{p}(\mathbb R^{n})$ , then $R_{\alpha ,\beta }(\varphi )(\cdot ,\cdot )$ is continuous on $\mathbb R^{1+n}_{+}$ .
Proof At first, for fixed $t_{0}>0$ , choose $(t_{0},x), ( t_{0},x_{0})\in \mathbb R^{1+n}_{+}$ . By Proposition 2.9 and Hölder’s inequality, we can get
where
For $M_{1}$ , since $|x-x_{0}|<(t_{0}/u)^{\beta /\alpha }$ , it follows from (ii) of Proposition 2.9 that for $\epsilon \in (0, \alpha -n/p)$ ,
and hence
where in the last inequality we have applied (2.2) to estimate the integral as
For $M_{2}$ , noticing that $|x-x_{0}|\geq (t/u)^{\beta /\alpha }$ , we can use (i) of Proposition 2.9 to get
We split $M_{2}\leq M_{2,1}+M_{2,2}$ , where
We can follow the procedure of (2.10) to deduce that
This means
which indicates that $R_{\alpha ,\beta }(\varphi )(t_{0}, x)$ is continuous with respect to the spatial variable x. Now, we investigate the continuity respect to the time variable t. For fixed $x\in \mathbb R^{n}$ ,
which gives
Case 1: $p\in [1,\infty )$ . We have
Because $\alpha>n$ and $p\geq 1$ , then $1+n/p\leq 1+n<\alpha $ . The above estimate gives
It can be seen from (2.2) that if $u\in (0,1)$ , for any $N>0$ ,
Then, we split the integral
where
Taking N large enough, we have $I_{1}<\infty $ . For $I_{2}$ , because $\beta \in (0,1)$ and $\alpha>n$ , then $1/\alpha +n/\alpha p-2<0$ and
which indicates that
Case 2: $p=\infty $ . We can also get
Now, fix $(t_{0}, x_{0})\in \mathbb R^{1+n}_{+}$ . Since
it follows from (2.11)–(2.13) that
Theorem 2.13 Assume that $(\alpha ,\beta ,p,q)\in (n,\infty )\times (0,1)\times [1,\infty )\times (1,\infty )$ satisfying $n\beta /p+\alpha /q<\alpha $ . For $g\in L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ , $G_{\alpha ,\beta }(g)$ is Hölder continuous in the sense that for any two sufficient close points $(t,x), (t_{0},x_{0})\in \mathbb R^{1+n}_{+}$ ,
Proof Given a point $(t_{0}, x_{0})\in \mathbb R^{1+n}_{+}$ , let $x\in \mathbb R^{n}$ be sufficiently close to $x_{0}$ such that $\delta =|x-x_{0}|$ small enough. Then $|G_{\alpha ,\beta }(g)(t_{0},x)-G_{\alpha ,\beta }(t_{0}, x_{0})|\lesssim I+II,$ where
We first estimate I. Write
We further split
where
Applying Hölder’s inequality to the variables y and s, respectively, we have
Similarly, for $I_{2}$ , we have
Split
Then we obtain
Now, we estimate $II$ . It follows from (ii) of Proposition 2.9 that there exists a constant $\epsilon>0$ such that for $|x-x_{0}|<|x|/2$ ,
We have
which implies that
If $|x|\leq t^{\beta /\alpha }$ , we have
If $|x|> t^{\beta /\alpha }$ , it still holds
Applying (2.14), we can deduce that
where
and, similarly,
We first estimate $II_{1}$ . The following integral can be estimated as
A direct computation gives
which yields
For the term $II_{2}$ , an application of Hölder’s inequality yields
The estimates for I and $II$ imply that
For fixed $x\in \mathbb R^{n}$ and $t_{1}>t_{2}$ , we can see that
where
It follows from Hölder’s inequality that
To estimate $III$ , we first investigate the Lipschitz continuity of $G_{t}(\cdot )$ on the time variable t. Because
it holds
Noticing that
we can obtain
Since for $\beta \in (0,1)$ ,
applying Fubini’s theorem and Hölder’s inequality, we can get
By change of variables, we obtain
Finally, we have, upon $1/q'\beta -n/(\alpha p)>0$ ,
where in the last inequality we have used the following estimate: $\int ^{\infty }_{0}u^{\beta n/\alpha p}g_{\beta }(u)du<\infty $ . In fact, by (2.2), $g_{\beta }(u)\lesssim u^{(N\beta -1+\beta /2)/(1-\beta )}$ for $u\in (0,1)$ and N being large enough, which indicates that
On the other hand, under the assumption that $\alpha>n$ and $\beta \in (0,1)$ , we can see that $\beta n/(\alpha p)-\beta -1<-1 $ and therefore
Theorems 2.12 and 2.13 show that, for the case $\alpha (1-1/q)-\beta n/p>0$ , the solution for (1.2) is continuous. For the endpoint case $\alpha (1-1/q)-\beta n/p=0$ , we can obtain the following Moser–Trudinger-type estimate for $G_{\alpha ,\beta }$ .
Theorem 2.14 Given $\alpha>n$ and $0<\beta <1$ . Assume that $p\in [1,\infty )$ , $1<q<\infty $ , and $n\beta /(\alpha p)+1/q=1$ . Let $(t_{0}, x_{0})\in \mathbb R^{1+n}_{+}$ , $r_{0}=t_{0}^{1/(2\alpha )}$ , and $0<\|g\|_{L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})}$ . There exists a constant $C>0$ such that
Proof Let $(t,x)\in \mathbb R^{1+n}_{+}$ be fixed. Then $|G_{\alpha ,\beta }(g)(t,x)|\lesssim I+II,$ where
Below, we deal with the terms I and $II$ , separately. By Hölder’s inequality, we get
It can be deduced from the integral
that
By the fact that $1/q+n\beta /(\alpha p)=1$ , we apply Hölder’s inequality on s to obtain
Denote by $M_{\mathbb R}$ the Hardy–Littlewood maximal function on $\mathbb R$ . Then, since $1-n\beta /(p\alpha )=1/q$ , it holds
The estimates for I and $II$ indicate that
Via choosing $r\in (0,t)$ such that
we get
Case 1: $|t-r|^{1/q}=t^{1/q}$ . Then
Case 2: $|t-r|^{1/q}=\|g\|_{L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})}M^{-1}_{\mathbb R}(\|g(\cdot ,\cdot )\|_{L^{p}_{x}(\mathbb R^{n})})(t)$ . We have
Let $r_{0}=t_{0}^{1/2\alpha }$ . Then
This completes the proof of Theorem 2.14.
3 $L^{q}_{t}L^p_{x}$ -capacities associated with space–time fractional equations
In this section, we study the $L^{q}_{t}L^p_{x}$ -capacity associated with $G_{\alpha ,\beta }$ defined in Definition 1.1. We establish the dual form, some basic properties, and the $L^{q}_{t}L^p_{x}$ -capacity of fractional parabolic balls in $\mathbb {R}^{n+1}_+.$ As a by-product, a strong-type inequality is also obtained.
3.1 The dual form of the $L^{q}_{t}L^p_{x}$ -capacity
First, let us introduce the adjoint operator of $G_{\alpha ,\beta }.$ For any $f, g\in C^{\infty }_{0}(\mathbb R^{1+n}_{+})$ , since
the adjoint operator $G^{\ast }_{\alpha ,\beta }$ of $G_{\alpha ,\beta }$ is defined via
The definition of $G^{\ast }_{\alpha ,\beta }$ can be extended to the family of Borel measures $\mu $ with compact supports in $\mathbb R^{1+n}_{+}$ . Let $\|\mu \|_{1}$ denote the total variants of $\mu $ . If F is continuous and compactly supported in $\mathbb R^{1+n}_{+}$ , then
Hence, an application of the Riesz representation theorem yields that there exists a Borel measure $\nu (\cdot ,\cdot )$ on $\mathbb R^{1+n}_{+}$ such that
Proposition 3.1 For a compact subset $K\subset \mathbb R^{1+n}_{+}$ , let $\mathcal {M}_{+}(K)$ be the class of all positive measures on $\mathbb R^{1+n}_{+}$ supported by K. If $1<p,q<\infty $ , $p'=p/(p-1)$ , and $q'=q/(q-1)$ , then
Proof Set
For any $g\geq 0$ such that $\ G_{\alpha ,\beta }(g)\geq 1_{K}$ , by (3.1) and Hölder’s inequality, we have
which implies that if $\mu $ satisfies $\|G^{\ast }_{\alpha ,\beta }\mu \|_{L^{q'}_{t}L^{p'}_{x}(\mathbb R^{1+n}_{+})}\leq 1$ , then $\|\mu \|_{1}^{p\wedge q}\leq \|g\|^{p\wedge q}_{L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})}$ , i.e.,
Moreover, let
We have
By [Reference Adams and Hedberg3, Theorem 2.4.1], we can deduce that
which implies
Hence, it follows
3.2 Basic properties of the $L^{q}_{t}L^p_{x}$ -capacity
Now, we are ready to establish the following basic properties of the $L^{q}_{t}L^p_{x}$ -capacities.
Theorem 3.2 Assume that $\alpha>n$ and $0<\beta <1$ . Let $1\leq p<\infty $ and $1<q<\infty $ .
-
(i) $C^{(\alpha ,\beta )}_{p,q}(\emptyset )=0$ . Moreover, under $K\subset \mathbb R^{1+n}_{+}$ and $K\neq \emptyset $ , $C^{(\alpha ,\beta )}_{p,q}(K)=0$ if and only if there exists $0\leq g\in L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ such that
$$ \begin{align*} K\subseteq \Big\{(t,x)\in \mathbb R^{1+n}_{+}:\ G_{\alpha,\beta}(g)(t,x)=\infty\Big\}. \end{align*} $$ -
(ii) If $E_{1}\subseteq E_{2}\subset \mathbb R^{1+n}_{+}$ ,
$$ \begin{align*} C^{(\alpha,\beta)}_{p,q}(E_{1})\leq C^{(\alpha,\beta)}_{p,q}(E_{2}). \end{align*} $$ -
(iii) Let $\{E_{j}\}^{\infty }_{j=1}$ be any sequence of subsets of $\mathbb R^{1+n}_{+}$ ,
$$ \begin{align*} C^{(\alpha,\beta)}_{p,q}\left(\bigcup^{\infty}_{j=1}E_{j}\right)\leq \sum^{\infty}_{j=1}C^{(\alpha,\beta)}_{p,q}(E_{j}). \end{align*} $$ -
(iv) For any $K\subset \mathbb R^{1+n}_{+}$ and any $x_{0}\in \mathbb R^{n}$ ,
$$ \begin{align*} C^{(\alpha,\beta)}_{p,q}(K+(0, x_{0}))=C^{(\alpha,\beta)}_{p,q}(K). \end{align*} $$
Proof (i) If $K=\emptyset $ , then for $g(t,x)\equiv 0$ , $1_{K}\equiv 0$ and $G_{\alpha ,\beta }(g)=1_{K}=0$ , which indicates that $C^{(\alpha ,\beta )}_{p,q}(\emptyset )=0$ . Set
We can see that
Take $g\geq 0$ and $G_{\alpha ,\beta }(g)\geq \lambda $ on $K_{\lambda }$ such that the function $G=g/\lambda $ satisfies $G_{\alpha ,\beta }(G)\geq {(G_{\alpha ,\beta }(g))}/{\lambda }\geq 1_{K_{\lambda }},$ which means
For any $(t,x)\in \mathcal {B}(G_{\alpha ,\beta }(g), p,q)$ , $G_{\alpha ,\beta }(g)(t,x)=\infty $ . For any j, $G_{\alpha ,\beta }(g)(t,x)>2^{j}$ . Then
that is,
We obtain
Letting $j\rightarrow \infty $ gives $C^{(\alpha ,\beta )}_{p,q}(\mathcal {B}(G_{\alpha ,\beta }(g), p,q))=0.$ This shows that $C^{(\alpha ,\beta )}_{p,q}(K)=0$ if $K\subseteq \mathcal {B}(G_{\alpha ,\beta }(g), p,q)$ .
Conversely, if $C^{(\alpha ,\beta )}_{p,q}(K)=0$ , from the definition of $C^{(\alpha ,\beta )}_{p,q}(\cdot )$ , we can see that
Then, for any $j\in \mathbb Z$ , there exists $g_{j}$ such that $g_{j}\geq 0$ and $G_{\alpha ,\beta }(g_{j})\geq 1$ on K satisfying $\|g_{j}\|^{p\wedge q}_{L^{q}_{t}L^{p}_{x}}<2^{-j}$ . Let $g=\sum ^{\infty }_{j=1}g_{j}$ . It is obvious that $g\geq 0$ and $G_{\alpha ,\beta }(g)=\infty $ on K, which implies that $K\subset \mathcal {B}(G_{\alpha ,\beta }, g, p,q)$ .
(ii) Let $K_{1}\subseteq K_{2}$ . Then $1_{K_{1}}(t,x)\leq 1_{K_{2}}(t,x)$ and
Taking the infimum on both sides of (3.2) yields $C^{(\alpha ,\beta )}_{p,q}(K_{1})\leq C^{(\alpha ,\beta )}_{p,q}(K_{2}).$
(iii) The proof of this assertion is divided into two cases.
Case 1: $p\ge q$ , i.e., $q=p\wedge q$ . Let $\{g_{j}\}$ be a sequence of functions such that $G_{\alpha ,\beta }(g_{j})\geq 1$ on $E_{j}$ . Define $g:=\sup _{j}g_{j}$ which satisfies $G_{\alpha ,\beta }(g)\geq 1$ on $\bigcup ^{\infty }_{j=1}E_{j}$ . We can get
This implies that
Case 2: $p<q$ , i.e., $p\wedge q=p$ . For $\{g_{j}\}$ such that $g_{j}\geq 0$ and $G_{\alpha ,\beta }(g_{j})\geq 1$ on $E_{j}$ , let $g=\sup _{j}g_{j}$ . For $(t,x)\in \bigcup ^{\infty }_{j=1}E_{j}$ , there exists a $j_{0}$ such that $(t,x)\in E_{j_{0}}$ . Then $g(t,x)\geq g_{j_{0}}(t,x)\geq 0$ , i.e., $g\ge 0$ on $\bigcup ^{\infty }_{j=1}E_{j}$ . We get $G_{\alpha ,\beta }(g)(t,x)\geq G_{\alpha ,\beta }(g_{j_{0}})(t,x)\geq 0$ for $ (t,x)\in \bigcup ^{\infty }_{j=1}E_{j}.$ This indicates that
which gives
(iv) Because $g_{x_{0}}(x,t)=g(t, x+x_{0})$ , it is easy to see that $\|g_{x_{0}}\|_{L^{q}_{t}L^{p}_{x}}=\|g\|_{L^{q}_{t}L^{p}_{x}}$ and
At the end of this subsection, we investigate the inner and outer capacitary properties of $C^{(\alpha ,\beta )}_{p,q}(\cdot )$ . We first prove that the capacity $C^{(\alpha ,\beta )}_{p,q}(\cdot )$ is an outer capacity.
Proposition 3.3 For any $E\subset \mathbb R^{n+1}_{+}$ ,
Proof Without loss of generality, we assume that $C^{(\alpha ,\beta )}_{p,q}(E)<\infty $ . By (ii) of Theorem 3.2,
For $\epsilon \in (0,1)$ , there exists a measurable, nonnegative function f such that $G_{\alpha ,\beta }f\geq 1$ on E and $\|f\|_{L^{q}_{t}L^{p}_{x}}^{p\wedge q}\leq C^{(\alpha ,\beta )}_{p,q}(E)+\epsilon .$ Since $G_{\alpha ,\beta }f$ is lower semicontinuous, then the set $O_{\epsilon }:=\{(x,t)\in \mathbb R^{n+1}_{+}:\ G_{\alpha ,\beta }f(x,t)>1-\epsilon \}$ is an open set. On the other hand, $E\subset O_{\epsilon }$ . This implies that
The arbitrariness of $\epsilon $ indicates that
The following result can be deduced from Proposition 2.1 as an immediate corollary.
Corollary 3.4 If $K_{j}$ is a decreasing sequence of compact sets, then
Proposition 3.5 Let $1<p<\infty $ and $1<q<\infty $ . If $\{E_{j}\}^{\infty }_{j=1}$ is an increasing sequence of arbitrary subsets of $\mathbb R^{n}$ , then
Proof Since $\{E_{j}\}^{\infty }_{j=1}$ is increasing, then
Conversely, without loss of generality, we assume that $\lim \limits _{j\rightarrow \infty }C^{(\alpha ,\beta )}_{p,q}(E_{j})$ is finite. For each j, let $f_{E_{j}}$ be the unique function such that $f_{E_{j}}\geq 1$ on $E_{j}$ and $\|f_{E_{j}}\|^{p\wedge q}_{L^{q}_{t}L^{p}_{x}}=C^{(\alpha ,\beta )}_{p,q}(E_{j})$ . Then, for $i<j$ , it holds that $G_{\alpha ,\beta }f_{E_{j}}\geq 1$ on $E_{i}$ and further, $G_{\alpha ,\beta }((f_{E_{i}}+f_{E_{j}})/2)\geq 1$ on $E_{i}$ , which means that
Since the space $L^{q}_{t}L^{p}_{x}(\mathbb R^{n+1}_{+})$ is a uniformly convex Banach space for $1<p<\infty $ and $1<q<\infty $ (cf. [Reference Benedek and Panzone7, Theorem 1, p. 317]), by [Reference Adams and Hedberg3, Corollary 1.3.3], the sequence $\{f_{E_{j}}\}^{\infty }_{j=1}$ converges strongly to a function f satisfying
Similar to [Reference Adams and Hedberg3, Proposition 2.3.12], we can prove that $G_{\alpha ,\beta }f\geq 1$ on $\cup ^{\infty }_{j=1}E_{j}$ , except possibly on a countable union of sets with $C^{(\alpha ,\beta )}_{p,q}(\cdot )$ zero. Hence,
As a corollary of Proposition 3.5, we can get the following result.
Corollary 3.6 Assume that $1<p<\infty $ and $1<q<\infty $ . Let O be an open subset of $\mathbb R^{n+1}_{+}$ . Then
3.3 $L^{q}_{t}L^p_{x}$ -capacity of fractional parabolic balls in $\mathbb R^{1+n}_{+}$
For $(t_{0}, x_{0}, r)\in (0,\infty )\times \mathbb R^{n}\times (0,\infty )$ , the fractional parabolic ball is defined as
Theorem 3.7 Assume that $(\alpha ,\beta ,p,q)\in (n,\infty )\times (0,1)\times [1,\infty )\times (1,\infty )$ satisfying $n\beta /p+\alpha /q-\alpha>0$ . Then, as $r_{0}\rightarrow 0$ and $(t_{0},x_{0})\in \mathbb R^{1+n}_{+}$ ,
Proof We first assume that $(t_{0},x_{0})=(0,0)$ . Let $g\geq 0$ satisfying $G_{\alpha ,\beta }(g)(t,x)\geq 1_{B_{r_{0}}^{(\alpha ,\beta )}(0,0)}(t,x)$ . If $(t,x)\in B_{r_{0}}^{(\alpha ,\beta )}(0,0)$ , then $|t|<2r_{0}^{\alpha }$ and $|x|<r^{\beta }_{0}/2$ . We can see that $(t,x)\in B_{r_{0}}^{(\alpha ,\beta )}(0,0)$ if and only if $(s,y)\in B_{1}^{(\alpha ,\beta )}(0,0)$ , where $s=t/r^{\alpha }_{0}$ and $y=x/r_{0}^{\beta }$ . Then, by (2.5), we utilize the change of variables $r^{-\alpha }_{0}u=v\ \&\ r^{-\beta }_{0}z=w$ to deduce that
Denote $r^{\alpha }_{0}g(r^{\alpha }_{0}t, r^{\beta }_{0}x)$ by $g^{\ast }(t,x)$ . The above computation gives
This means that $G_{\alpha ,\beta }(g)(t,x)\geq 1$ for $(t,x)\in B_{r_{0}}^{(\alpha ,\beta )}(0,0)$ if and only if $G_{\alpha ,\beta }(g^{\ast })(s,y)\geq 1$ for $(s,y)\in B_{1}^{(\alpha ,\beta )}(0,0)$ . It is easy to get
Below a change of variables gives
which indicates that
By the arbitrariness of g, we know
Changing the order of $B_{r_{0}}^{(\alpha ,\beta )}(0,0)$ and $B_{1}^{(\alpha ,\beta )}(0,0)$ , similarly, it holds
This shows that
Now, for arbitrary $(t_{0},x_{0})\in \mathbb R^{1+n}_{+}$ , let $g\geq 0$ and $G_{\alpha ,\beta }(g)\geq 1_{B^{(\alpha ,\beta )}_{r_{0}}(t_{0},x_{0})}$ . Then, for $1\leq p<\infty $ and $1<q<\infty $ , there exist $\widetilde {p}$ and $\widetilde {q}$ such that
By Theorem 2.6, $\|G_{\alpha ,\beta }(g)\|_{L^{\widetilde {q}}_{t}L^{\widetilde {p}}_{x}(\mathbb R^{1+n}_{+})}\lesssim \|g\|_{L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})}.$ It is obvious that
which implies $r_{0}^{(n\beta /\widetilde {p}+\alpha /\widetilde {q})(p\wedge q)}\lesssim \|g\|^{p\wedge q}_{L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})}.$ Since $(1/q-1/\widetilde {q})+(\beta n/\alpha )(1/p-1/\widetilde {p})=1$ , the arbitrariness of g shows that
Below, we investigate the upper bound of $C^{(\alpha ,\beta )}_{p,q}(B^{(\alpha ,\beta )}_{r_{0}}(t_{0},x_{0}))$ . Consider the ball
where $\eta $ is a sufficiently large constant. Since $(t,x)\in B^{(\alpha ,\beta )}_{r_{0},\eta }(t_{0},x_{0})$ ensures that we have, for $r_{0}> 0$ small enough,
Because $t-s>(\frac {\eta ^{\alpha }-1}{2})r_{0}^{\alpha }$ and $|y-x_{0}|<r^{\beta }_{0}$ , then $|y-x_{0}|< (\frac {\eta ^{\alpha }-1}{2})^{-\beta /\alpha }(t-s)^{\beta /\alpha }$ and
If $|t-t_{0}|<r^{\alpha }_{0}$ ,
It is easy to see that if $\eta>> 1$ and
then
On the other hand, it can be deduced from $r^{\alpha }_{0}<t-t_{0}<2r^{\alpha }_{0}$ and $t_{0}\lesssim r^{\alpha }_{0}$ that $t\simeq t_{0}+r_{0}^{\alpha }\leq 2r^{\alpha }_{0}$ . If $t_{0}\lesssim r^{\alpha }_{0}$ , then $t_{0}-(\eta r_{0})^{\alpha }<0$ , which implies that $0<s<t$ and $s<\frac {\eta ^{\alpha }-1}{2}r^{\alpha }_{0}-t$ . For $\eta $ large enough, we can see that $\frac {\eta ^{\alpha }-1}{2}r^{\alpha }_{0}-t\geq \frac {\eta ^{\alpha }-1}{2}r^{\alpha }_{0}-2r_{0}^{\alpha }\geq r^{\alpha }_{0}\geq t.$ Hence, we obtain
Equivalently, there exists a constant c independent of $r_{0}$ such that $G_{\alpha ,\beta }\left(cr^{-\alpha }_{0}1_{B^{(\alpha ,\beta )}_{r_{0},\eta }(t_{0},x_{0})}\right)(t,x)\geq 1$ for $(t,x)\in B^{(\alpha ,\beta )}_{r_{0},\eta }(t_{0},x_{0})$ . Therefore,
3.4 A strong-type inequality related to $L^{q}_{t}L^{p}_{x}$ -capacity
Theorem 3.8 Given $1\leq p,q<\infty $ , $\alpha>n$ , and $\beta \in (0,1)$ , for any $g\in L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ , we have
where $E_{\lambda }:=\Big \{(t,x)\in \mathbb R^{1+n}_{+}:\ G_{\alpha ,\beta }(g)(t,x)>\lambda \Big \}$ .
Proof Without loss of generality, we assume that $\|g\|_{L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})}<\infty $ . For fixed $g\in L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ and any $K=K_{t}\times K_{x}\subset \mathbb R^{1+n}_{+}$ , define
where
For any disjoint sets A and B, it follows from the identity $\chi _{A\cup B}(t,x)=\chi _{A_{t}}(t)\chi _{A_{x}}(x)+\chi _{B_{t}}(t)\chi _{B_{x}}(x)$ that
which means $\Phi _{F}(A\cup B)\leq \Phi _{F}(A)+\Phi _{F}(B)$ . Below, we prove the reverse inequality in two cases.
Case 1: $p<q$ . For this case, $q/p>1$ . Then we obtain
which, together with the inequality: $(a+b)^{q/p}\geq a^{q/p}+b^{q/p}, a, b>0$ , implies that
Case 2: $p\geq q$ . For this case, $p\wedge q=q$ . Then
Finally, we prove that
By [Reference Cerdá, Martín and Silvestre14, Corollary 2.3, p. 187], there exists a measure $\psi $ on $\mathbb R^{1+n}_{+}$ such that $\Phi \leq \psi $ and $\psi (\mathbb R^{1+n}_{+})\leq c(n)$ , where $c(n)$ is a constant only depending on n. For $E_{\lambda }\setminus E_{a\lambda }$ with $a\in (1,2)$ , noting that $E_{\infty }=\emptyset $ , we have
Thus,
By (1.3), $u(t,x):=G_{\alpha ,\beta }(g)(t,x)$ is a solution to the space–time fractional dissipative equation:
Set a function $\widetilde {g}$ as
Define $\widetilde {f}(t,x)=I^{1-\beta }_{t}\widetilde {g}(t,x).$ Then a direct computation indicates that the following function
is a solution to the equation
Based on the definition of $C^{(\alpha ,\beta )}_{p,q}(\cdot )$ , we obtain
which, via a change of variables, implies that
The following weak-type estimate is an immediate corollary of Theorem 3.8.
Corollary 3.9 Let $1\leq p,q<\infty $ , $\alpha>n$ , and $\beta \in (0,1)$ . For all $\lambda>0$ , it holds
As an application of Theorem 3.8, we deduce the embedding from $L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ to $L^{(r,s)}(\mathbb R^{1+n}_{+},\mu )$ , which is the Lorentz space of all functions $u(\cdot ,\cdot )$ satisfying
where $r,s\in (0,\infty )$ and $\mu $ is a nonnegative Borel measure on $\mathbb R^{1+n}_{+}$ .
Theorem 3.10 Assume that $1\leq p,q<\infty $ , $\alpha>n$ , and $\beta \in (0,1)$ . Let $\mu $ be a nonnegative Borel measure on $\mathbb R^{1+n}_{+}$ . Then
holds for all $g\in L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ if and only if
holds for all compact sets $K\subset \mathbb R^{1+n}_{+}$ .
Proof Assume that (3.4) holds. Then it follows from Theorem 3.8 that
Conversely, suppose that (3.3) holds for all $g\in L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ . Fix a compact set $K\subset \mathbb R^{1+n}_{+}$ . By the definition of $C^{(\alpha ,\beta )}_{p,q}(\cdot )$ , for any $\epsilon>0$ , there exists a function $g\in L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ such that
Hence, $K\subset \Big \{(t,x)\in \mathbb R^{1+n}_{+}:\ |G_{\alpha ,\beta }(g)(t,x)|>1\Big \}$ . We get
which implies that
Then (3.4) follows from the arbitrariness of $\epsilon $ . This completes the proof of Theorem 3.10.
4 Hausdorff dimension of the blow-up set
In this section, we estimate the size of the blow-up set of the so-called fractional time–space dissipative potential $G_{\alpha ,\beta }$ : for $0\leq g\in L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ ,
Let $\phi : [0,\infty )\mapsto [0,\infty ]$ be an increasing function with $\phi (0)=0$ . For any compact subset $K\subset \mathbb R^{1+n}_{+}$ , let
be the $L^{\alpha ,\beta }$ -based $(\phi ,\epsilon )$ -Hausdorff capacity of K. Specially, for $\epsilon =\infty $ ,
Then the $(\phi ,\epsilon )$ -Hausdorff measure of K is defined by
If $\phi (r)=r^{d}$ for all $r\in (0,\infty )$ , then
The Hausdorff dimension of K is defined as
Theorem 4.1 $\mathscr {L}^{1}(A)$ and $\mathscr {L}^{n}(B)$ stand for the one-dimensional and n-dimensional Lebesgue measures of bounded Borel sets $A\subset \mathbb R_{+}$ and $B\subset \mathbb R^{n}$ , respectively. If $\alpha>n$ , $\beta \in (0,1)$ ,
then there exists a $\delta \in (0,1)$ such that
Proof For any $0\leq F$ such that $G_{\alpha ,\beta }(g)\geq 1_{A\times B}$ , we can get
On the other hand, it follows from Theorem 2.6 that
which implies
Taking the infimum on the right-hand side of (4.1), we obtain
Let $\Big \{B^{(\alpha ,\beta )}_{r_{j}}(t_{j}, x_{j})\Big \}$ be a covering of $A\times B$ with $r_{j}\in (0,\delta )$ . Then, by Theorem 3.7, we get
which gives
This completes the proof of Theorem 4.1.
Theorem 4.2 Let K be a compact subset of $\mathbb R^{1+n}_{+}$ . If $\alpha>n$ , $\beta \in (0,1)$ ,
there exists a $\delta \in (0,1)$ such that $C^{(\alpha ,\beta )}_{p,q}(K)\lesssim H^{\theta ,\alpha ,\beta }_{\delta }(K)$ and hence
Proof The first assertion follows from Theorem 3.7. Now, we estimate the Hausdorff dimension of the blow-up set. Let $g\geq 0\in L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ . For any $(t,x)\in \mathcal {B}[G_{\alpha ,\beta }(g), p,q]$ , $G_{\alpha ,\beta }(g)(t,x)=\infty $ , which means that for $j\in \mathbb N$ , $G_{\alpha ,\beta }(g)(t,x)>2^{j}$ on $\mathcal {B}[G_{\alpha ,\beta }(g), p,q]$ . Set $g_{j}=2^{-j}g, j\in \mathbb N$ . Hence, $G_{\alpha ,\beta }(g_{j})>1$ on $\mathcal {B}[G_{\alpha ,\beta }(g), p,q]$ and $\|g_{j}\|_{L^{q}_{t}L^{p}_{x}}=2^{-j}\|g\|_{L^{q}_{t}L^{p}_{x}}$ . Then, by the definition of $C^{(\alpha ,\beta )}_{p,q}(\cdot )$ , it holds
Let K be any compact subset of $\mathcal {B}[G_{\alpha ,\beta }(g), p,q]$ . By (ii) of Theorem 3.2, we obtain $C^{(\alpha ,\beta )}_{p,q}(K)=0$ since
We need the following Frostman-type lemma: if $\phi : [0,\infty )\mapsto [0,\infty ]$ increases and $\phi (0)=0$ , then for any given compact $K\subset \mathbb R^{1+n}_{+}$ , there exists a measure $\mu \in \mathcal {M}^{+}(K)$ such that
Because K is a compact subset, we assume that K is contained in a ball $B^{(\alpha ,\beta )}_{R}(t_{0},x_{0})$ . Let $0\leq G\leq L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})$ such that $G_{\alpha ,\beta }(G)\geq 1$ on K. By the Fubini theorem, we get
Applying Proposition 2.1, we obtain
where
Now, we estimate the term $M_{2}$ . Write $\mathbb R^{1+n}_{+}\setminus B^{(\alpha ,\beta )}_{2R_{0}}(t_{0},x_{0})\subset S_{1}\cup S_{2}\cup S_{3},$ where
Hence, $M_{2}\lesssim M_{2,1}+M_{2,2}+M_{2,3}$ , where
For $M_{2,1}$ , if $(s,y)\in S_{1}$ and $(t,x)\in K\cap ((s,\infty )\times \mathbb R^{n})\subset K\subset B^{(\alpha ,\beta )}_{R}(t_{0},x_{0}),$ then $|y-x_{0}|\simeq |y-x|$ and $|t-s|\simeq |s-t_{0}|$ . We have
On the other hand, a direct computation gives
which, together with the Hölder inequality, implies that
Similarly, for $S_{3}$ , we can see that $|t-s|\simeq |s-t_{0}|$ and $|t_{0}-s|^{\beta /\alpha }\gtrsim |y-x_{0}|$ . Then
We can follow the procedure of $M_{2,1}$ to get
Then we estimate $M_{2,2}$ . For $(s,y)\in S_{2}$ , $|y-x_{0}|>|s-t_{0}|^{\beta /\alpha }$ , $|y-x_{0}|\simeq |x-y|$ , and $|s-t|\lesssim R^{\alpha }_{0}$ . Then
We can get
The change of variables gives
which, together with the change of variable: $u=|t_{0}-s|/R^{\alpha }_{0}$ , indicates that
The estimates for $M_{2,i}, i=1,2,3,$ imply that $M_{2}\lesssim \mu (K)\|G\|_{L^{q}_{t}L^{p}_{x}(\mathbb R^{1+n}_{+})}R_{0}^{\alpha -\alpha /q-n\beta /p}.$
Now, we estimate $M_{1}$ . If $(s,y)\in B^{(\alpha ,\beta )}_{2R_{0}}(t_{0},x_{0})$ and $(t,x)\in B^{(\alpha ,\beta )}_{2R_{0}}(t_{0},x_{0})$ , then $|t-s|<(4R_{0})^{\alpha }$ and $|y-x|\leq (4R_{0})^{\beta }$ , which indicate that $(t,x)\in B^{(\alpha ,\beta )}_{4R_{0}}(s,y)$ . We can get
Let $(t,x)\in B^{(\alpha ,\beta )}_{2^{-j}R_{0}}(s,y)\setminus B^{(\alpha ,\beta )}_{2^{-j-1}R_{0}}(s,y)$ . If $|t-s|\simeq (2^{-j_{0}}R_{0})^{\alpha }$ and $|x-x_{0}|<(2^{-j_{0}}R_{0})^{\beta }$ , then
If $|t-s|< (2^{-j_{0}}R_{0})^{\alpha }$ and $|x-x_{0}|\simeq (2^{-j_{0}}R_{0})^{\beta }$ , then
We have
Case 1: $p\leq q$ . Applying Hölder’s inequality, we get
On the other hand, it follows from the condition $\mu (B^{(\alpha ,\beta )}_{r}(s,y))\lesssim \phi (r)$ that
The estimates (4.2) and (4.3) imply that
Since $\mu \in \mathcal {M}^{+}(K)$ , $\mu (B^{(\alpha ,\beta )}_{r}(s,y))\leq \mu (K)$ . For any $0<r<2R_{0}$ and $(t,x)\in B^{(\alpha ,\beta )}_{r}(s,y)$ , it holds
Hence,
Case 2: $p>q$ . Similar to Case 1, we have
Hence, there exists a constant $c_{0}$ depending on $p,q,\alpha , \beta , R_{0}$ such that
Take $\phi (r):=r^\eta $ , $\eta>n\beta -\alpha (p\wedge q-1)$ , such that
This gives
and therefore
which implies that $\mu (K)=0$ and $H^{\phi ,\alpha ,\beta }_{\infty }(K)=0$ . Hence, $H^{\phi ,\alpha ,\beta }(K)=0$ . By the arbitrariness of $K\subset \mathcal {B}(G_{\alpha ,\beta }(g),p,q)$ ,
which indicates that