Abstract
Let α ∈ (0, 1]. The main objective of this chapter consists of acquainting the reader with the fast-growing theory of fractional evolution equations.
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9.1 Introduction
Let α ∈ (0, 1]. The main objective of this chapter consists of acquainting the reader with the fast-growing theory of fractional evolution equations. More precisely, we study sufficient conditions for the existence of classical (respectively, mild) solutions for the inhomogeneous fractional Cauchy problem
and its corresponding semilinear evolution equation
where \({\mathbb D}_t^\alpha \) is the fractional derivative of order α in the sense of Caputo, \(A: D(A)\subset {\mathbb X} \mapsto {\mathbb X}\) is a closed linear operator on a complex Banach space \({\mathbb X}\) (respectively, \(A\in \varSigma ^{\gamma }_{\omega }({\mathbb X})\) where γ ∈ (−1, 0) and \(0<\omega <\frac {\pi }{2}\)), and \(f: [0, \infty ) \mapsto {\mathbb X}\) and \(F: [0, \infty ) \times \mathbb X \mapsto {\mathbb X}\) are continuous functions satisfying some additional conditions. Under some appropriate assumptions, various existence results are discussed.
The main tools utilized to establish the existence of classical (respectively, mild) solutions to the above-mentioned fractional evolutions are the so-called (α, α)β-resolvent families \(S_\alpha ^\beta (\cdot )\) and almost sectorial operators. Additional details on these classes of operators can be found in Keyantuo et al. [75] and Wang et al. [110]. For additional readings upon the topics discussed in this chapter, we refer to [6, 21–23, 37, 42], etc.
9.2 Fractional Calculus
Let \((\mathbb X, \|\cdot \|)\) be a complex Banach space. If \(J \subset \mathbb R\) is an interval and if \((V, \|\cdot \|) \subset \mathbb X\) is a (normed) subspace, then C(J;V ) (respectively, C (k)(I;V ) for \(k \in \mathbb N\)) will denote the collection of all continuous functions from J into V (respectively, the collection of all functions of class C k which go from J into V ).
Definition 9.1
If \(f: \mathbb R_+ \mapsto \mathbb R\) and \(g: \mathbb R_+ \mapsto \mathbb X\) are functions, we define their convolution, if it exists, as follows:
Definition 9.2
If \(u: \mathbb R_+ \mapsto \mathbb X\) is a function, then its Riemann–Liouville fractional derivative of order β is defined by
where n := ⌈β⌉ is the smallest integer greatest than or equal to β, and
with g 0 = δ 0 (the Dirac measure concentrated at 0).
Note that g α+β = g α ∗ g β for all α, β ≥ 0.
Definition 9.3
The Caputo fractional derivative of order β > 0 of a function \(u: \mathbb R_+\mapsto \mathbb X\) is defined by
where n := ⌈β⌉.
We have the following additional relationship between Riemann–Liouville and Caputo fractional derivatives:
where n := ⌈β⌉.
Definition 9.4
If \(f: \mathbb R_+ \mapsto \mathbb X\) is integrable, then its Laplace transform is defined by
provided this integral converges absolutely for some \(z\in \mathbb C\).
Among other things, if ⌈α⌉ = n ≥ 1, then
and
where z α is uniquely defined as \(z^\alpha = |z|{ }^\alpha e^{i \arg z}\) with \(-\pi < \arg z < \pi \).
Let \(k\in \mathbb {N}\). If \(u\in C^{k-1}(\mathbb R_+;\mathbb X)\) and \(v\in C^k(\mathbb R_+;\mathbb X)\), then for every t ≥ 0,
Define the generalized Mittag–Leffler special function E α,β by
where Γ is a contour which starts and ends at −∞ and encircles the disc
counter-clockwise.
In what follows, we set
and
9.3 Inhomogeneous Fractional Differential Equations
9.3.1 Introduction
Let α ∈ (0, 1]. In this section, we study the existence of classical (respectively, mild) solutions for the inhomogeneous fractional Cauchy problem
where \(\mathbb D_t^\alpha \) is the fractional derivative of order α in the sense of Caputo, \(A: D(A)\subset \mathbb X \mapsto \mathbb X\) is a closed linear operator on a complex Banach space \(\mathbb X\), and \(f: \mathbb R_+ \mapsto \mathbb X\) is a function satisfying some additional conditions.
As it was pointed out in Keyantuo et al. [75], Caputo fractional derivative is more appropriate for equations of the form Eq. (9.2) than the Riemann–Liouville fractional derivative. Indeed, Caputo fractional derivative requires that the solution u of the above Cauchy problem be known at t = 0 while that of Riemann–Liouville requires that it be known in a right neighborhood of t = 0.
Recall that if α = 1, then there are two situations that can be considered. If A is the infinitesimal generator of a strongly continuous semi-group, then semi-group techniques can be used to establish the existence of solutions to Eq. (9.2). Now, if A is not the infinitesimal generator of a strongly continuous semi-group, the concept of exponentially bounded β-times integrated semi-groups can be utilized to deal with existence of solutions to the above Cauchy problem. Similarly, if α ∈ (0, 1), a family of strongly continuous linear operators \(S_\alpha : \mathbb R_+ \mapsto B(\mathbb X)\) can be used to establish the existence of solutions to the above Cauchy problem. Unfortunately, the previous concept is inappropriate for some important practical problems, see details in Keyantuo et al. [75]. This in fact is one of the main reasons that led Keyantuo et al. to introduce the concept of (α, α)β-resolvent families (respectively, (α, 1)β-resolvent families), which generalizes naturally all the above-mentioned cases. Such a new concept will play a central role in this section.
9.3.2 Basic Definitions
Definition 9.5 ([75])
Let \(A: D(A) \subset \mathbb X \mapsto \mathbb X\) be a closed linear operator and let α ∈ (0, 1] and β ≥ 0. The operator A is called an (α, α)β-resolvent family if there exist ω ≥ 0, M ≥ 0, and a family of strongly continuous functions \(T_\alpha ^\beta : [0, \infty ) \mapsto B(\mathbb X)\) (respectively, \(T_\alpha ^\beta : (0, \infty ) \mapsto B(\mathbb X)\) in the case when α(1 + β) < 1) such that,
-
i)
\(\Big \|(g_1 \ast T_\alpha ^\beta )(t)\Big \| \leq M e^{\omega t}\) for all t > 0;
-
ii)
\(\Big \{\lambda ^\alpha : \Re e\, \lambda > \omega \Big \} \subset \rho (A)\); and
Definition 9.6 ([75])
Let \(A: D(A) \subset \mathbb X \mapsto \mathbb X\) be a closed linear operator and let α ∈ (0, 1] and β ≥ 0. The operator A is called an (α, 1)β-resolvent family generator if there exist ω ≥ 0, M ≥ 0, and a family of strongly continuous functions \(S_\alpha ^\beta : \mathbb R_+ \mapsto B(\mathbb X)\) such that,
-
i)
\(\Big \|(g_1 \ast S_\alpha ^\beta )(t)\Big \| \leq M e^{\omega t}\) for t ≥ 0;
-
ii)
\(\Big \{\lambda ^\alpha : \Re e \lambda > \omega \Big \} \subset \rho (A)\); and
Remark 9.7
A family of strongly continuous functions \(T_\alpha ^\beta (t)\) that satisfies items i)–ii) of Definition 9.5 is called the (α, α)β-resolvent family generated by the linear operator A. And there is uniqueness of the (α, α)β-resolvent family (respectively, (α, 1)β-resolvent family) associated with a given operator A.
In fact, there is a relationship between these two new notions. It is not hard to show that if A generates an (α, α)β-resolvent family \(T_\alpha ^\beta \), then it generates an (α, 1)β-resolvent family \(S_\alpha ^\beta \) (see [75] for details) and that both \(T_\alpha ^\beta \) and \(S_\alpha ^\beta \) are linked through the following identity,
Let us now collect a few additional properties of both (α, 1)β- and (α, α)β-resolvent families.
Proposition 9.8 ([75])
Let \(A: D(A) \subset \mathbb X \mapsto \mathbb X\) be a closed linear operator and let α ∈ (0, 1] and β ≥ 0. If A generates an (α, 1)β -resolvent family \(S_\alpha ^\beta \) , then the following hold,
-
i)
\(S_\alpha ^\beta (t) (D(A)) \subset D(A)\) and
$$\displaystyle \begin{aligned}AS_\alpha^\beta(t)x = S_\alpha^\beta(t) Ax\end{aligned}$$for all x ∈ D(A) and t ≥ 0.
-
ii)
For all x ∈ D(A),
$$\displaystyle \begin{aligned}S_\alpha^\beta(t) x = g_{\alpha\beta+1}(t) x + \int_{0}^t g_\alpha(t-s) AS_\alpha^\beta(s) x ds, \ \ t \geq 0.\end{aligned}$$ -
iii)
For all \(x \in \mathbb X\) , \((g_\alpha \ast S_\alpha ^\beta )(t)x \in D(A)\) ,
$$\displaystyle \begin{aligned}S_\alpha^\beta(t) x = g_{\alpha\beta+1}(t) x+ A \int_{0}^t g_\alpha(t-s) S_\alpha^\beta(s) x ds, \ \ t \geq 0.\end{aligned}$$ -
iv)
\(S_\alpha ^\beta (0) = g_{\alpha \beta +1}(0)\) ; \(S_\alpha ^\beta (0) = I\) if β = 0 and \(S_\alpha ^\beta (0) = 0\) if β > 0 .
Proposition 9.9 ([75])
Let \(A: D(A) \subset \mathbb X \mapsto \mathbb X\) be a closed linear operator and let α ∈ (0, 1] and β ≥ 0. If A generates an (α, α)β -resolvent family \(T_\alpha ^\beta \) , then the following hold,
-
i)
\(T_\alpha ^\beta (t) (D(A)) \subset D(A)\) and
$$\displaystyle \begin{aligned}AT_\alpha^\beta(t)x = T_\alpha^\beta(t) Ax\end{aligned}$$for all x ∈ D(A) and t > 0.
-
ii)
For all x ∈ D(A),
$$\displaystyle \begin{aligned}T_\alpha^\beta(t) x = g_{\alpha(\beta+1)}(t) x + \int_{0}^t g_\alpha(t-s) AT_\alpha^\beta(s) x ds, \ \ t \geq 0.\end{aligned}$$ -
iii)
For all \(x \in \mathbb X\) , \((g_\alpha \ast T_\alpha ^\beta )(t)x \in D(A)\) ,
$$\displaystyle \begin{aligned}T_\alpha^\beta(t) x = g_{\alpha(\beta+1)}(t) x+ A \int_{0}^t g_\alpha(t-s) T_\alpha^\beta(s) x ds, \ \ t > 0.\end{aligned}$$ -
iv)
If β > 0, then for every \(x \in \overline {D(A)}\) ,
$$\displaystyle \begin{aligned}\frac{1}{\varGamma(\alpha(1+\beta))} \lim_{t \to 0} t^{1-\alpha(1+\beta)} T_\alpha^\beta(t)x = x\end{aligned}$$if α(1 + β) < 1; \(T_\alpha ^\beta (0)x = x\) if α(1 + β) = 1; and \(T_\alpha ^\beta (0)x = 0\) if α(1 + β) > 1.
-
v)
If α(1 + β) > 1, then all the above equalities occur for t ≥ 0. .
A strongly continuous function \(h: [0, \infty ) \mapsto \mathbb X\) is called exponentially bounded if there exist constants M, ω ≥ 0 such that
for all t > 0. In particular, an (α, α)β-resolvent family \(T_\alpha ^\beta \) (respectively, (α, 1)β-resolvent family \(S_\alpha ^\beta \)) is exponentially bounded, there exist constants M, ω ≥ 0 such that
for all t > 0 (respectively, there exist constants M′, ω′≥ 0 such that
for all t ≥ 0).
For more on (α, α)β-resolvent families (respectively, (α, 1)β-resolvent families), we refer the reader to [75].
9.3.3 Existence of Classical and Mild Solutions
Definition 9.10 ([75])
A continuous function A function u : [0, ∞)↦D(A) is said to be a classical solution to Eq. (9.2) if \(g_{1-\alpha } \ast (u-u(0)): [0, \infty ) \mapsto \mathbb X\) is a continuous function and Eq. (9.2) holds.
Definition 9.11 ([75])
A continuous function \(u: [0, \infty ) \mapsto \mathbb X\) is said to be a mild solution to Eq. (9.2) if (g α ∗ u)(t) ∈ D(A) for all t ≥ 0 and
Theorem 9.12 ([75])
Let α ∈ (0, 1] and β ≥ 0 and set n = ⌈β⌉ and k = ⌈αβ⌉. Suppose that A is the generator of an (α, 1)β -resolvent family \(S_\alpha ^\beta \) . Then the following hold,
-
i)
For every \(f \in C^{(k+1)}(\mathbb R_+; \mathbb X)\) , f (l)(0) ∈ D(A n+1−l) for l = 0, 1, …, k, \(\mathbb D_t^{\alpha \beta } f\) is exponentially bounded and u 0 ∈ D(A n+1), Eq.(9.2) has a unique classical solution given by
$$\displaystyle \begin{aligned} \begin{array}{rcl}{} u(t) = D_t^{\alpha\beta} S_\alpha^\beta(t) u_0 + D_t^{\alpha\beta} \mathbb D_t^{1-\alpha} (S_\alpha^\beta \ast f) (t), \ \ t \geq 0. \end{array} \end{aligned} $$(9.4) -
ii)
For every \(f \in C^{(k)}(\mathbb R_+; \mathbb X)\) , f (l)(0) ∈ D(A n−l) for l = 0, 1, …, k − 1, \(\mathbb D_t^{\alpha \beta } f\) is exponentially bounded and u 0 ∈ D(A n), Eq.(9.2) has a unique mild solution given by Eq.(9.4).
Corollary 9.13 ([75])
Let α ∈ (0, 1] and β ≥ 0 and set n = ⌈β⌉ and k = ⌈αβ⌉. Suppose that A generates an (α, α)β -resolvent family \(T_\alpha ^\beta \) . And let \(S_\alpha ^\beta \) be the (α, 1)β -resolvent family generated by A. Then the following hold:
-
(a)
For every \(f \in C^{(k+1)}(\mathbb R_+; \mathbb X)\) , f (j)(0) ∈ D(A n+1−j) for j = 0, 1, …, k, \(\mathbb D_t^{\alpha \beta } f\) is exponentially bounded, and for every u 0 ∈ D(A n+1), the unique classical solution to Eq.(9.2) is given by
$$\displaystyle \begin{aligned} \begin{array}{rcl}{} u(t) = D_t^{\alpha\beta} \Bigg[ S_\alpha^\beta(t) u_0 + \int_{0}^t T_\alpha^\beta (t-s) f(s) ds\Bigg], \ \ t \geq 0. \end{array} \end{aligned} $$(9.5) -
(b)
For every \(f \in C^{(k)}(\mathbb R_+; \mathbb X)\) , f (j)(0) ∈ D(A n−j) for j = 0, 1, …, k − 1, \(\mathbb D_t^{\alpha \beta } f\) is exponentially bounded and for every u 0 ∈ D(A n), the unique mild solution to Eq.(9.2) is given by Eq.(9.5).
9.4 Semilinear Fractional Differential Equations
9.4.1 Preliminaries and Notations
Let γ ∈ (−1, 0) and let \(S_\mu ^0\) (with 0 < μ < π) be the open sector defined by
and let S μ be its closure, that is,
Definition 9.14 ([110])
Let γ ∈ (−1, 0) and let 0 < ω < π∕2. The set \(\varSigma ^{\gamma }_{\omega }(\mathbb X)\) stands for the collection of all closed linear operators \({A}:\ D({A})\subset \mathbb X\rightarrow \mathbb X\) satisfying
-
i)
σ(A) ⊂ S ω; and
-
ii)
for every ω < μ < π there exists a constant C μ such that
$$\displaystyle \begin{aligned} \|(zI - A)^{-1}\|\leq C_\mu|z|{}^\gamma \end{aligned} $$(9.6)for all \(z\in \mathbb {C}\setminus {S}_\mu \).
Definition 9.15
A linear operator \(A: D(A) \subset \mathbb X \mapsto \mathbb X\) that belongs to \(\varSigma ^{\gamma }_{\omega }(\mathbb X)\) will be called an almost sectorial operator on \(\mathbb X\).
Among other things, recall that if \({A}\in \varSigma ^{\gamma }_{\omega }(\mathbb X)\), then 0 ∈ ρ(A). Further, there exist almost sectorial operators which are not sectorial, see, e.g., [109]. There are many examples of almost sectorial operators in the literature, see, e.g., Wang et al. [110].
Let α ∈ (0, 1). Our main objective in this section consists of studying the existence of solutions to the following semilinear fractional differential equations
where \(\mathbb D_t^\alpha \) is the Caputo fractional derivative of order α, \(A\in \varSigma ^{\gamma }_{\omega }(\mathbb X)\) with \(0<\omega <\frac {\pi }{2}\), and \(f: [0, \infty ) \times \mathbb X \mapsto \mathbb X\) is a jointly continuous function.
Suppose that \(A \in \varSigma ^{\gamma }_{\omega }(\mathbb X)\) such − 1 < γ < 0 and 0 < ω < π∕2. Define operator families \(\{\mathcal {S}_{\alpha }(t)\}|{ }_{t\in S^0_{{\frac {\pi }{2}}-\omega }}\), \(\{\mathcal {T}_{\alpha }(t)\}|{ }_{t\in S^0_{{\frac {\pi }{2}}-\omega }}\) by
where the integral contour \(\varGamma _\theta :=\{\mathbb {R}_+e^{i\theta }\}\cup \{\mathbb {R}_+e^{-i\theta }\}\) is oriented counter-clockwise and \(\omega <\theta <\mu <\frac {\pi }{2}-|\arg t|\).
We have
Theorem 9.16 ([110])
For each fixed \(t\in S^0_{{\frac {\pi }{2}}-\omega }\) , \(\mathcal {S}_{\alpha }(t)\) and \(\mathcal {T}_{\alpha }(t)\) are linear and bounded operators on \(\mathbb X\) . Moreover, there exist constants C s = C(α, γ) > 0, C p = C(α, γ) > 0 such that for all t > 0,
9.4.2 Existence Results
Definition 9.17 ([110])
A continuous function \(u: (0, T] \mapsto \mathbb X\) is called a mild solution to Eq. (9.7) if it satisfies,
for all t ∈ (0, T].
Theorem 9.18 ([110])
Let \(A\in \varSigma ^{\gamma }_{\omega }(\mathbb X)\) such that \(-1<\gamma <-\frac {1}{2}\) and \(0<\omega <\frac {\pi }{2}\) . Suppose that \(f:(0,T]\times \mathbb X\rightarrow \mathbb X\) is continuous with respect to t and that there exist constants M, N > 0 such that
for all t ∈ (0, T] and for each \(x,y\in \mathbb X\) , where ν is a constant in \([1,-\frac {\gamma }{1+\gamma })\) . Then, for every \(u_0\in \mathbb X\) , there exists a T 0 > 0 such that Eq.(9.7) has a unique mild solution defined on (0, T 0].
Proof
Fix r > 0 and consider the metric space \((F_r(T,u_0), \rho _{{ }_T})\) where
It can be shown that it is not difficult to see that the metric space \((F_r(T,u_0), \rho _{{ }_T})\) is complete.
Now for all u ∈ F r(T, u 0),
where L := T α(1+γ) r + C s∥u 0∥.
Let T 0 ∈ (0, T] such that
where β(η 1, η 2) with η i > 0, i = 1, 2 stands for the usual Beta function.
Suppose \(u_0\in \mathbb X\) and consider the mapping Γ α given by
From the assumptions upon f, Theorem 9.16, and [110, Theorem 3.2], we deduce that \((\varGamma ^\alpha u)(t)\in C((0,T];\mathbb X)\) and
by using Eq. (9.9).
In view of the above, one can see that Γ α maps F r(T 0, u 0) into itself.
Now for all u, v ∈ F r(T 0, u 0), using the assumptions upon f and Theorem 9.16 we deduce that
Using (9.10), one can easily see that Γ α is a strict contraction on F r(T 0, u 0) and so Γ α has a unique fixed point u ∈ F r(T 0, u 0) which, by the Banach Fixed Point Theorem, is the only mild solution to Eq. (9.7) on (0, T 0].
It can be shown that \(\mathbb X^1=D(A)\) equipped with the norm defined by \(\|x\|{ }_{\mathbb X^1}=\|Ax\|\) for all \(x \in \mathbb X^1\), is a Banach space.
Theorem 9.19 ([110])
Let \(A\in \varTheta ^{\gamma }_{\omega }(\mathbb X)\) with \(-1<\gamma <-\frac {1}{2}\) , \(0<\omega <\frac {\pi }{2}\) and \(u_0\in \mathbb X^1\) . Suppose there exists a continuous function \(M_f(\cdot ): \mathbb {{R}}^+\rightarrow \mathbb {{R}}^+\) and a constant N f > 0 such that the mapping \(f:(0,T]\times \mathbb X^1\rightarrow \mathbb X^1\) satisfies
for all 0 < t ≤ T and for all \(x,y\in \mathbb X^1\) satisfying
Then there exists a T 0 > 0 such that Eq.(9.7) has a unique mild solution defined on (0, T 0].
Proof
Fix \(u_0\in \mathbb X^1\) and r > 0 and consider
For any \(u\in F^{\prime \prime }_r(T,u_0)\), using the assumptions upon f and Theorem 9.16, we obtain
In view of the above and ideas from the proof of Theorem 9.18, we obtain the desired result.
9.5 Exercises
-
1.
Show that if A generates an (α, α)β-resolvent family \(T_\alpha ^\beta \), then it generates an (α, 1)β-resolvent family \(S_\alpha ^\beta \). Further,
$$\displaystyle \begin{aligned}S_\alpha^\beta(t)x = (g_{1-\alpha} \ast T_\alpha^\beta)(t)x, \ \ t \geq 0, \ \ x \in \mathbb X.\end{aligned}$$ -
2.
Let \(A: D(A) \subset \mathbb X \mapsto \mathbb X\) be a closed linear operator and let α ∈ (0, 1] and β ≥ 0. Show that if A generates an (α, 1)β-resolvent family \(S_\alpha ^\beta \), then the following hold,
-
a.
\(S_\alpha ^\beta (t) (D(A)) \subset D(A)\) and
$$\displaystyle \begin{aligned}AS_\alpha^\beta(t)x = S_\alpha^\beta(t) Ax\end{aligned}$$for all x ∈ D(A) and t ≥ 0.
-
b.
For all x ∈ D(A),
$$\displaystyle \begin{aligned}S_\alpha^\beta(t) x = g_{\alpha\beta+1}(t) x + \int_{0}^t g_\alpha(t-s) AS_\alpha^\beta(s) x ds, \ \ t \geq 0.\end{aligned}$$ -
c.
For all \(x \in \mathbb X\), \((g_\alpha \ast S_\alpha ^\beta )(t)x \in D(A)\),
$$\displaystyle \begin{aligned}S_\alpha^\beta(t) x = g_{\alpha\beta+1}(t) x+ A \int_{0}^t g_\alpha(t-s) S_\alpha^\beta(s) x ds, \ \ t \geq 0.\end{aligned}$$ -
d.
\(S_\alpha ^\beta (0) = g_{\alpha \beta +1}(0)\); \(S_\alpha ^\beta (0) = I\) if β = 0 and \(S_\alpha ^\beta (0) = 0\) if β > 0 .
-
a.
-
3.
Let \(A: D(A) \subset \mathbb X \mapsto \mathbb X\) be a closed linear operator and let α ∈ (0, 1] and β ≥ 0. Show that if A generates an (α, α)β-resolvent family \(T_\alpha ^\beta \), then the following hold,
-
a.
\(T_\alpha ^\beta (t) (D(A)) \subset D(A)\) and
$$\displaystyle \begin{aligned}AT_\alpha^\beta(t)x = T_\alpha^\beta(t) Ax\end{aligned}$$for all x ∈ D(A) and t > 0.
-
b.
For all x ∈ D(A),
$$\displaystyle \begin{aligned}T_\alpha^\beta(t) x = g_{\alpha(\beta+1)}(t) x + \int_{0}^t g_\alpha(t-s) AT_\alpha^\beta(s) x ds, \ \ t \geq 0.\end{aligned}$$ -
c.
For all \(x \in \mathbb X\), \((g_\alpha \ast T_\alpha ^\beta )(t)x \in D(A)\),
$$\displaystyle \begin{aligned}T_\alpha^\beta(t) x = g_{\alpha(\beta+1)}(t) x+ A \int_{0}^t g_\alpha(t-s) T_\alpha^\beta(s) x ds, \ \ t > 0.\end{aligned}$$ -
d.
If β > 0, then for every \(x \in \overline {D(A)}\),
$$\displaystyle \begin{aligned}\frac{1}{\varGamma(\alpha(1+\beta))} \lim_{t \to 0} t^{1-\alpha(1+\beta)} T_\alpha^\beta(t)x = x\end{aligned}$$if α(1 + β) < 1; \(T_\alpha ^\beta (0)x = x\) if α(1 + β) = 1; and \(T_\alpha ^\beta (0)x = 0\) if α(1 + β) > 1.
-
e.
If α(1 + β) > 1, then all the above equalities occur for t ≥ 0. .
-
a.
-
4.
Suppose p ∈ [1, ∞), α ∈ (0, 1), and λ ∈ [0, π). Let A p be the linear operator defined by A p = e iλ Δ p where Δ p is a realization of the Laplace differential operator on \(L^p(\mathbb R^d)\). Show that A p is the generator of an (α, 1)β on \(L^p(\mathbb R^d)\) for all β ≥ 0.
9.6 Comments
The material discussed in this chapter is mainly based upon the following two sources: Keyantuo et al. [75] and Wang et al. [110]. One should mention that the semilinear case is not treated in [75]. Consequently, an interesting question consists of using the same tools as in [75] to study the existence of classical (respectively, mild) solutions for the semilinear fractional Cauchy problem
where \(\mathbb D_t^\alpha \) is the fractional derivative of order α in the sense of Caputo, \(A: D(A)\subset \mathbb X \mapsto \mathbb X\) is a closed linear operator on a complex Banach space \(\mathbb X\), and \(f: \mathbb R_+ \times \mathbb X \mapsto \mathbb X\) is a jointly continuous function satisfying some additional conditions.
For the proofs of the existence results Theorem 9.12 and Corollary 9.13, we refer the reader to Keyantuo et al. [75].
The proofs of Theorems 9.18 and 9.19 are taken from Wang et al. [110]. For additional readings upon these topics, we refer to [4, 6, 21–23, 37, 42], etc.
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Diagana, T. (2018). Semilinear Fractional Evolution Equations. In: Semilinear Evolution Equations and Their Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-00449-1_9
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