A sharp Balian–Low uncertainty principle for shift-invariant spaces

A sharp version of the Balian–Low theorem is proven for the generators of finitely generated shift-invariant spaces. If generators ${\{f_k\}}_{k=1}^K?L^2({\mathbb{R}}^d)$ are translated along a lattice to form a frame or Riesz basis for a shift-invariant space V, and if V has extra invariance by a suitable finer lattice, then one of the generators $f_k$ must satisfy ${\int }_{{\mathbb{R}}^d}|x||f_k(x){|}^{2}dx=\infty$, namely, $\stackrel{?}{f_k}?H^{1/2}({\mathbb{R}}^d)$. Similar results are proven for frames of translates that are not Riesz bases without the assumption of extra lattice invariance. The best previously existing results in the literature give a notably weaker conclusion using the Sobolev space $H^{d/2+?}({\mathbb{R}}^d)$; our results provide an absolutely sharp improvement with $H^{1/2}({\mathbb{R}}^d)$. Our results are sharp in the sense that $H^{1/2}({\mathbb{R}}^d)$ cannot be replaced by $H^s({\mathbb{R}}^d)$ for any $s<1/2$.     

On Birman's sequence of Hardy–Rellich-type inequalities

In 1961, Birman proved a sequence of inequalities $\{I_n\}$, for $n\in \mathbb{N}$, valid for functions in $C_0^n((0,\infty ))?L^2((0,\infty ))$. In particular, $I_1$ is the classical (integral) Hardy inequality and $I_2$ is the well-known Rellich inequality. In this paper, we give a proof of this sequence of inequalities valid on a certain Hilbert space $H_n([0,\infty ))$ of functions defined on $[0,\infty )$. Moreover, $f\in H_n([0,\infty ))$ implies $f^{\prime }\in H_{n?1}([0,\infty ))$; as a consequence of this inclusion, we see that the classical Hardy inequality implies each of the inequalities in Birman's sequence. We also show that for any finite $b>0$, these inequalities hold on the standard Sobolev space $H_0^n((0,b))$. Furthermore, in all cases, the Birman constants ${[(2n?1)!!]}^2/2^{2n}$ in these inequalities are sharp and the only function that gives equality in any of these inequalities is the trivial function in $L^2((0,\infty ))$ (resp., $L^2((0,b))$). We also show that these Birman constants are related to the norm of a generalized continuous Cesàro averaging operator whose spectral properties we determine in detail.     

The generic gradient-like structure of certain asymptotically autonomous semilinear parabolic equations

We consider asymptotically autonomous semilinear parabolic equations

$u_t+Au=f(t,u).$

Suppose that $f(t,.)\to f^{\pm }$ as $t\to \pm \infty$, where the semiflows induced by

(*)$u_t+Au=f^{\pm }(u)$

are gradient-like. Under certain assumptions, it is shown that generically with respect to a perturbation g with $g(t)\to 0$ as $\left|t\right|\to \infty$, every solution of

$u_t+Au=f(t,u)+g(t)$

is a connection between equilibria $e^{\pm }$ of (*) with $m(e^{?})\ge m(e^{+})$. Moreover, if the Morse indices satisfy $m(e^{?})=m(e^{+})$, then u is isolated by linearization.     

An integrable connection on the configuration space of a Riemann surface of positive genus

Let X be a Riemann surface of positive genus. Denote by $X^{(n)}$ the configuration space of n distinct points on X. We use the Betti–de Rham comparison isomorphism on $H^1(X^{(n)})$ to define an integrable connection on the trivial vector bundle on $X^{(n)}$ with fiber the universal algebra of the Lie algebra associated with the descending central series of ${\pi }_1$ of $X^{(n)}$. The construction is inspired by the Knizhnik–Zamolodchikov system in genus zero and its integrability follows from Riemann period relations.     

An explicit counterexample for the Lp-maximal regularity problem

In this short Note we give a self-contained example of a consistent family of holomorphic semigroups $(T_p{(t))}_{t?0}$ such that $(T_p{(t))}_{t?0}$ does not have maximal regularity for $p>2$. This answers negatively the open question whether maximal regularity extrapolates from $L^2$ to the $L^p$-scale.     

Large deviations of kernel density estimator in L1(Rd) for uniformly ergodic Markov processes

In this paper, we consider a uniformly ergodic Markov process $(X_n{)}_{n⩾0}$ valued in a measurable subset E of ${\mathbb{R}}^d$ with the unique invariant measure $\mu (\mathrm{d}x)=f(x)\mathrm{d}x$, where the density f is unknown. We establish the large deviation estimations for the nonparametric kernel density estimator $f_n^{*}$ in $L^1({\mathbb{R}}^d,\mathrm{d}x)$ and for $6f_n^{*}-f{6}_{L^1({\mathbb{R}}^d,\mathrm{d}x)}$, and the asymptotic optimality $f_n^{*}$ in the Bahadur sense. These generalize the known results in the i.i.d. case.