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egraphics[width=0.475\textwidth]{tspin_prob.pdf} \caption{The posterior probability density of the average spin temperature, as a function of absorber detection yield ($\mathcal{N}$). We show results for our simulated all-southern-sky survey with 2-h
{d-1},1+\frac{4}{d-2})$, and $a>-\frac{(d-2)^2}4+\big(\frac{(d-2)p-d}{2p}\big)^2$. Let $u$ be a radial solution to \eqref{wave-La-p} with a finite energy. Then there exist finite-energy free waves $ v^{\pm}$(solutions to the linear wave equation $\parti
ef{section:errors}. $\overline{\mathcal{F}}_{\rm CNM}$ is the average CNM fraction assuming a simple two-phase neutral ISM with $T_{\rm spin,CNM} = 100$\,K and $T_{\rm spin,WNM} = 1800$\,K (\citealt{Liszt:2001}).}\label{figure:tspin_prob} \end{figure
n (we set $\ln q_0=0$ for MLE fitting). To avoid the complications of spot identification, we use known positions to determine the ROI and initial guess for $(\mu_x,\mu_y)$. All localizations are performed using a $9\times 9$ ROI. Fits that failed to conv
vey}. We account for the uncertainties in the expected detection rate $\overline{\mu}$, discussed in \autoref{section:errors}, by using a Monte Carlo approach and marginalizing over many realizations. A yield of 1000 absorbers from such a survey would impl
letion, where as the signal output power approaches the pump power, the gain begins to saturate. This defines the dynamic range of the device and it is limited by the pump power at which the bifurcation occurs. For a lossless device ($\kappa_i \ll \kappa_c
where values in parentheses denote the alternative posterior probability resulting from the systematic errors discussed in \autoref{section:errors}. This scenario would indicate that a large fraction of the atomic gas in DLAs at these intermediate redshif
\in A_q$. Next, we apply Lemma 6.1 to fix $r \le q$ such that for all $M \in A_r$, $M \cap Q \in A_r$, and moreover, $A_r = A_q \cup \{ M \cap Q : M \in A_q \}$. We claim that for all $M \in A_r$, if $M < N$ then $M \cap N \in A_r$. This is certainly
he bulk of the neutral gas in galaxies is significantly different at intermediate redshifts compared with the local Universe. We also consider the effect of reducing the sky area and array size, which is relevant for planned early science surveys with ASK
g]}$, let $\gamma = \sup j \image \delta < j(\delta)$. First note $M[\hat G * \hat g]$ thinks that $\dom m$ is an Easton subset of $\gamma$. This is because $\dom m = \bigcup_{p \in H} \dom j(p)$, $M[\hat G] \models |H| = \delta$, and for all $p \in H$,
a version of ASKAP. We find that detection yields of 30 and 3 from such a survey would give inferred spin temperatures of $\overline{T}_{\rm spin} =134^{+23}_{-27}\,(209^{+40}_{-47})$ and $848^{+270}_{-430}\,(1535^{+513}_{-837})$\,K, respectively. The sign
ode ratio $\alpha$ defined by $\alpha=M/N_l$, where $N_l = L_x \times L_y$ is the number of logical variables, and $M$ is the number of loops generated on the logical lattice. Note that $M$ is de
variance and uncertainty in $\overline{T}_{\rm spin}$. However, this result demonstrates that we expect to be able to distinguish between the limiting cases of CNM-rich or deficient DLA populations even during the early-science phases of the SKA pathfinde
ity of the observed moon determined by Marchis et al. (2014) ($e=0.31\pm0.03$). However, this could be partly caused by the fact, that we handed the output of (gravity free) SPH simulations to the gravitational N-body code after first 100~s. Hence, fra
in distant galaxies, using the expected detection yields from future wide-field 21\,cm absorption surveys. The spin temperature is a crucial property of the ISM that can be used to determine the fraction of the cold ($T_{\rm k} \sim 100$\,K) and dense ($n
een $F_1$ and $F_2$ is bigger than $\epsilon^2$, where $\epsilon$ is the number associated to $X$ satisfying Lemma \ref{lem3.4}. If this is not true, then there is $p\in F_1$ and $q\in F_2$ such that $|pq|=|F_1F_2|<\epsilon^2$ (note that $X$ is compact and
lded some evidence of an evolution in the average spin temperature that might reveal a decrease in the fraction of cold dense atomic gas at high redshift (e.g. \citealt{Gupta:2009, Kanekar:2014a}). By combining recent specifications for ASKAP, with availa
ion. We write it in a ``time dependent way'' because this is useful in \cite{BCP2}, which represents the second part of the present article. In fact, we use here just $A(0,x_0)$ and $\lambda(0,x_0)$, whereas in \cite{BCP2} we consider $A(t,x_t)$ and $\lam
sky between redshifts of $z = 0.4$ and $1.0$. However, we find that the accuracy to which we can measure the average spin temperature is ultimately limited by the accuracy to which we can measure the distribution of the covering factor, the $N_{\rm HI}$ f
nstrumental CMD for $100^{\prime\prime}$ square around OGLE-2016-BLG-0596 using KMTNet CTIO data. The instrumental source color is measured from model-independent regression and the instrumental magnitude is measured from the fit of the $I$-band data t
ge of the future SKA telescope, allowing us to measure the evolution of the average spin temperature to much higher redshifts. \section*{Acknowledgements} We thank Robert Allison, Elaine Sadler and Michael Pracy for useful discussions, and the anonymous
C_{i}& B_{1} \ldots B_{j-i} & A_{1}\dots A_{m-j}\\ \hline \end{array} \] Under $\alpha_i$, the winner is $A_1$. The voter of type 2 can manipulate by ranking $B_1$ first. Under $\alpha_j$, the winner is $B_1$ (either by score, or winning a tie agai
physics Data System Bibliographic Services; and the VizieR catalogue acces
ity of Tokenizations (TokComp)} \cite{maronikolakis-etal-2021-wine-v} uses a method to select meaningful vocabulary sizes in an automated manner for all language using compression rates. Since their best performances are found, when the compression rates
\section{Introduction} Given $\rho>0$, we consider the problem \begin{equation}\label{eq:main_prob_U} \begin{cases} -\Delta U + \lambda U = |U|^{p-1}U & \text{in }\Omega,\smallskip\\ \int_\Omega U^2\,dx = \rho, \quad U=0 & \text{on }\partial\Omega, \end
scount factor. It modifies the value of taking action $a$ in state $s$, when after executing this action the environment returned reward $r$, and moved to a new state $s'$. \subsection{Potential Based reward shaping} The idea of reward shaping is to pro
and $\rho$ (and also $\Omega$) for the solvability of the problem. The main interest in \eqref{eq:main_prob_U} relies on the investigation of standing wave solutions for the nonlinear Schr\"odinger equation \[ i\frac{\partial \Phi}{\partial t}+\Delta \Phi
{N(a)\cap \mathcal{M}_g\}\neq \emptyset$} \State Run the rb-DFS starting from $x$ in $G(\mathcal{M}_g \cup \mathcal{M}_b,\mathcal{B}_g, E^{gb}_{gb})$ to get a reachable set $Rch(x)$, then color vertice in $Rch(S)$ red if $Rch(x)\cap \mathcal{M
domains \cite{MR1837207}. In particular, the latter case appears in nonlinear optics and in the theory of Bose-Einstein condensation, also as a limiting case of the equation on ${\mathbb{R}}^N$ with confining potential. When searching for solutions having
] { \label{fig:netspec} \textit{Left}: Median per-detector noise spectra for \bicep3 2015 and 2016 season data, from both pair-summed and pair-differenced minimally processed timestreams (showing $1/f$ noise rejection of the differenced polarization
view are available. The first possibility is to assign the chemical potential $\lambda\in{\mathbb{R}}$, and search for solutions of \eqref{eq:NLS} as critical points of the related action functional. The literature concerning this approach is huge and we d
{in} \cdots $$ declaring a new effect, called $E_{\mathit{RL}}^{\mathit{Abs}}$, waiting for a type $\alpha_A$ representing the type (of kind $T$) of actions, and then declare the types of those two algebraic operations. The kind of $E_{\mathit{RL}}^{\m
tion. Up to our knowledge, the only previous paper dealing with this case, in bounded domains, is \cite{MR3318740}, which we describe below. The problem of searching for normalized solutions in ${\mathbb{R}}^N$, with non-homogeneous nonlinearities, is more
lin2006random}, described in detail in Section \ref{method_description}, which quantifies the relevance of each training data point $\bold{x}_i$ for a given test point $\bold{x}$. The conditional distribution is then estimated by an empirical distribution
tions of \eqref{eq:main_prob_U} can be identified with critical points of the associated energy functional \[ \mathcal{E}(U) = \frac12\int_\Omega|\nabla U|^2\,dx - \frac{1}{p+1} \int_\Omega|U|^{p+1}\,dx \] restricted to the mass constraint \[ {\mathcal{M}
em can be formally overcome by using CD, where velocity-dependent terms are added to the Hamiltonian analytically enforcing the adiabatic wave function to be the solution of the time-dependent Schr\"odinger equation \cite{demirplak2003,demirplak2005,berry
n H^1_0(\Omega)$, \begin{equation} \label{sobest} \|v\|^{p+1}_{L^{p+1}(\Omega)} \leq C_{N,p} \| \nabla v \|_{L^2(\Omega)}^{N(p-1)/2} \| v \|_{L^2(\Omega)} ^{(p+1)-N(p-1)/2}, \end{equation} the equality holding only when $\Omega={\mathbb{R}}^N$ and $v=Z_{N,
on} Therefore, as $\left\langle \mathbf{j}_{{\rm s}}^{{\rm F/N}}\right\rangle _{t}\propto\mathbf{m}_{0}$ holds in the SP, the direction of the ISHE current is reversed under the magnetization reversal ($\mathbf{m}_{{\rm 0}}\rightarrow-\mathbf{m}_{{\rm 0}}$
will be always Sobolev-subcritical and its criticality will be understood in the $L^2$ sense). Indeed we have that ${\mathcal{E}}$ is bounded below and coercive on ${\mathcal{M}}_\rho$ if and only if either $p$ is subcritical, or it is critical and $\rho$
provides a finite-loss bound with this very weak assumption. Summarizing the above, while the DIRECT algorithm has been successful in practice, concern about its weak theoretical basis led to the recent development of its generalized version, the SOO alg
:main_prob_U} is strongly influenced by the exponent $p$, indeed: \begin{itemize} \item in the subcritical case $1<p<1+4/N$, \eqref{eq:main_prob_U} admits a unique positive solution for every $\rho>0$; \item if $p=1+4/N$ then \eqref{eq:main_prob_U} admi
\geq 1$) as the cyclic group $\mu_{\ell}$ with an extra element $0$, no addition and usual multiplication. In coordinates, elements of the vector space $V(m + 1,\mathbb{F}_{1^{\ell}})$ are $(m + 1)$-tuples with at most one nonzero entry $a \in \mathbb{F}
ain_prob_U} admits positive solutions if and only if $0<\rho\leq\rho^*$ (the threshold $\rho^*$ depending on $p$), and such solutions are at least two for $\rho<\rho^*$. \end{itemize} In this paper we carry on such analysis, dealing with a general domai
\begin{itemize} \item $\ker \pi_k= \cD_{k+1}{G}(\cD_{k}{G})^+$, and \item $\cD_{k}{G}=\cD_{k+1}{G}^{\co \pi_k}=\{x\in\cD_{k+1}{G}: (\id\otimes\pi_k)\Delta(x)=x\otimes 1 \}$. \end{itemize} Note that $\cD_{k+1}{G}(\cD_{k}{G})^+ \subseteq \ker\pi_k$ sin
t H^1_0(\Omega),\,\dim(V)= k:\forall v\in V\setminus\{0\}\smallskip\\ \displaystyle\int_\Omega |\nabla v|^2 + \lambda v^2 - p|U|^{p-1}v^2\,dx<0 \end{array} \right\}\in{\mathbb{N}}. \] Then, if $\Omega=B_1$, it is well known that a solution $U$ of \eqref{eq
lobes have a rich morphology that suggests a more complex structure than that proposed in Figure~11. A complete analysis of the physical structure of NGC\,2371 using information obtained along different slit positions using the Manchester Echelle Spectr
rak{A}}_k(p,\Omega) := \left\{\rho>0 : \begin{array}{l} \eqref{eq:main_prob_U} \text{ admits a solution $U$ (for some $\lambda$)}\\ \text{having Morse index }m(U)\leq k \end{array} \right\}, \] then \cite{MR3318740} implies that ${\mathfrak{A}}_1(p,B_1)$ i
om}(f_r)$, case 3 does not hold, and case 7 does not hold by Lemma 7.9. It remains to consider case 1. For case 1, suppose that $x \in \mathrm{dom}(f_w) \setminus S$ and $f(x) = f_w(x)$. Then $x \in N$. So $f_r(x) \subseteq Sk(x) \subseteq N$. Hence
icated. We collect some examples in the following remark. \begin{remark}\label{rem:specialdomains} In the case of a symmetric domain, one can use any solution as a building block to construct other solutions with a more complex behavior, obtaining the so-c
n(vn)}{n}{\stackrel{\mathrm{a.s.}}{=}}\alpha_0-\frac{v^2}{2}, \] i.e., the shape function $\alpha(\cdot)$ introduced in Lemmas~\ref{lem:shape-function-for-aux} and~\ref{lem:same-shape-function-for-true-Z}, satisfies \[ \alpha(v)=\alpha_0-\frac{v^2}{2}. \
+ \lambda U = |U|^{p-1}U$ in a rectangle $R=\prod_{i=1}^N(a_i,b_i)$ can be scaled to a solution of $-\Delta U + k^2\lambda U = |U|^{p-1}U$ in $R/k$, $k\in{\mathbb{N}}_+$, and then $k^N$ copies of it can be juxtaposed, with alternating sign. In this way on
a,o))))}$$ doing the three operations $\op{choice}$, $\op{do}$ and $\op{observe}$ in sequence. Then, this handler should be typed with the information that the new operation $\op{choicedoandobserve}$ is associated to the element $m_\op{choice} \cdot m_\op{
onstruction can be performed in the disk, using solutions in circular sectors as building blocks, even though in this case explicit bounds on the mass obtained are more delicate. Also, instead of symmetric domains, singular perturbed ones can be considered
lying this argument for each coordinate of $p$ shows that there exists a point in $\{0,1\}^n$ which is also an optimal solution to $\max_{p\in [0,1]^n} \mathbf F(p,Y)$ and consequently to $\max_{x\in \{0,1\}^n} \mathbf F(x,Y)$. Now to prove our claim, we
prob_U} has a \emph{positive} solution on $\Omega$ with Morse index $k$ and $\rho=\rho_k\to+\infty$ as $k\to+\infty$. This kind of results justifies the choice of classifying the solutions in terms of their Morse index, rather than in terms of their nodal
$ is determined by $E=B_vK^{\prime \prime}(K^{\prime \prime}+1)$ (which makes the $J$ manifold within each $K^{\prime \prime}$ state degenerate) and in $^3 \Pi$ by $E=B_v[J(J+1)-\Omega^2]$. Adapted and modified from Ref.~\cite{Herzberg}} \label{fig:parit
\subset{\mathbb{R}}^N$ bounded $C^1$ domain, $k\ge1$, $1<p<2^*-1$, \[ \sup{\mathfrak{A}}_k(p,\Omega) < +\infty \qquad\iff\qquad p \ge 1+\frac{4}{N}. \] \end{theorem} The proof of such result, which is outlined in Section \ref{sec:blow-up}, is obtained by a
ho (a)$, on $L^2(\mathcal M)$. Each unital, normal, $*$-representation $\sigma:\mathcal M\to B(\mathcal H)$ defines a {\it left $\mathcal M$-module} $\mathcal H$. This yields an $\mathcal M$-linear isometry $V:\mathcal H\to L^2(\mathcal M)\bigotimes l_
on phenomena towards the boundary. The argument, which holds for solutions which possibly change sign, is inspired by \cite{MR2825606}, where the case of positive solutions is treated. Once Theorem \ref{thm:bbd_index} is established, in case $p\geq 1 + 4/
e region of pixels. Compositing then works in the following steps: \def\compactstep#1{\par\medskip\noindent\textbf{#1}} \compactstep{1) Generating a contiguous send buffer.} Given each pixel's fragment lists, each rank computes a GPU-parallel prefix sum
1$ for some $k$? \item is \eqref{eq:main_prob_U} solvable for every $\rho\in(0,\sup{\mathfrak{A}}_k)$, or at least can we characterize some subinterval of solvability? \end{enumerate} It is clear that both issues can be addressed by characterizing values
es were due to changes in the nuclear data while the calculation methodology remained identical to that of Longland {\it et al.} \cite{PhysRevC.85.065809}. The resulting reaction rates are given in Tables \ref{tab:Ne22_alphagamma_rate} and \ref{tab:Ne22_a
= \mu|u|^{p-1}u & \text{in }\Omega,\\ \int_\Omega u^2\,dx = 1, \quad u=0 & \text{on }\partial\Omega, \end{cases} \qquad\text{where}\quad \begin{cases} U=\sqrt{\rho} u\\ \mu = \rho^{(p-1)/2}, \end{cases} \end{equation} where now $\mu>0$ is prescribed. Sin
tum}a), (\ref{mass and angular momentum}d), (\ref{mass and angular momentum}e) and (\ref{mass and angular momentum}f) can be interpreted as evolution formulas for the mass, angular momentum and EM-charges. From the point of view of a characteristic initial
er the ${\mathbb{Z}}_2$-action of the involution $u\mapsto -u$, solutions of \eqref{eq:main_prob_u} can be found via min-max principles in the framework of index theories (see e.g. \cite[Ch. II.5]{St_2008}). Notice that in the supercritical case ${\mathcal
d by the encoder, and an adversarial loss $L_G$ to achieve more natural motions from the motion manifold. Figure~\ref{fig:loss_overview} shows overview of our loss functions. \paragraph*{Motion reconstruction loss} \label{par:motion_recon_loss} The motio
\mathcal{B}_\alpha:=\left\{u\in {\mathcal{M}}:\,\int_\Omega |\nabla u|^2\,dx<\alpha\right\},\quad\quad \mathcal{U}_\alpha:=\left\{u\in {\mathcal{M}}:\,\int_\Omega |\nabla u|^2\,dx=\alpha\right\}. \end{equation} Introducing the first Dirichlet eigenvalue o
0); \draw[thick,->] (2,0) -- (0,0); \filldraw[black] (3,0) circle (1pt); \filldraw[black] (4,1) circle (1pt); \filldraw[black] (5,0) circle (1pt); \draw[thick,->] (3,0) -- (4,1); \draw[thick,->] (4,1) -- (5,0); \draw[thick,->] (5,0) -- (3,0); \
4} we introduce the following notion of genus. \begin{definition}\label{def:genus} Let $A\subset H^1_0(\Omega)$ be a closed set, symmetric with respect to the origin (i.e. $-A=A$). We define the \emph{genus} $\gamma$ of a $A$ as \[ \gamma(A) := \sup\{m : \
morphism by the previous corollary. This shows the assertion. \end{proof} \section{Hypergeometric Isocrystals.} In this section, we study the isocrystals (in the classical sense) defined by hypergeometric differential operators. The first subsection
inition} We remark that this notion of genus is different from the classical one of \emph{Krasnoselskii genus}, which is well suited for estimates of the Morse index from below, rather than above. Nonetheless, $\gamma$ shares with the Krasnoselskii genus m
}\ P(\bs{x}) \end{equation} yields an $\epsilon$-approximate \gls{MI-NE} of $\Gamma$. \hfill$\square$ \end{proposition} \begin{assumption}\label{standing:existence} Problem \eqref{eq:Master} is solvable, i.e., there exists an $\bs{x}^{*}\in\mc{X}$ wit
in Section \ref{sec:2const} that $\Sigma^{(k)}_{\alpha}$ is not empty, provided $\alpha>\lambda_k(\Omega)$ (the $k$-th Dirichlet eigenvalue of $-\Delta$ in $H^1_0(\Omega)$). Equipped with this notion of genus we provide two different variational principl
tween pairs of groups. However, these definitions are specific to the ranking relation between the groups, whereas differential calibration cares only about the outcome differential (conditioned on model predictions) between pairs of groups. \subsubsec
abel{thm:genus_2constr} Let $k\geq1$ and $\alpha>\lambda_{k}(\Omega)$. Then \begin{equation} \label{maxmin} M_{\alpha,\,k}:= \sup_{A\in\Sigma^{(k)}_{\alpha}}\inf_{u\in A}\int_{\Omega}|u|^{p+1} \end{equation} is achieved on ${\mathcal{U}}_\alpha$, and there
e in momentum balance equations. We constructed a simple dispersion model and its solution that highlighted the essence of dispersion on the flow dynamics. We consistently demonstrated that dispersion produces a wavy velocity field around the reference st
lpha=\mu_\alpha |u_\alpha|^{p-1}u_\alpha\quad \text{in }\Omega. \end{equation} \end{theorem} As a matter of fact, the results in \cite{MR3318740} were obtained by a detailed analysis of the map $\alpha \mapsto \mu_\alpha$ in the case $k=1$, i.e. when deali
done first for periodic points with period larger than $1$, and later for fixed points. \begin{lemma}\label{l.highperiod} Consider a periodic orbit $\mathcal{O}$ accumulated by $\Gamma$ and stabilized by a fixed point $q$. Then there exists a Pixton disc
to exploit the characterization of $M_{\alpha,k}$ in connection with a second variational principle, which deals with only \emph{one constraint}. \begin{theorem}\label{thm:genus_1constr} Let $1+{N}/{4}\leq p<2^*-1$. There exists a sequence $(\hat \mu_k)_k$
thermal velocity measurements (otherwise we would expect nonthermal line-of-sight velocities to be larger). However, we must be cautious since this may also be due to a lack of large-amplitude torsional motions in plumes and/or under-resolved line-of-sight
suitable $\alpha>\lambda_{k}(\Omega)$. Furthermore there exists a critical point $u_\mu\in {\mathcal{M}}$ such that, for some $\lambda_\mu\in{\mathbb{R}}$, \[ -\Delta u_\mu+\lambda_\mu\,u_\mu=\mu |u_\mu|^{p-1}u_\mu\quad \text{in }\Omega, \] $\|\nabla u\|_
ead to additional terms in the M5-brane effective action of the form: \begin{align} S' \sim \frac{1}{{g^2_{\text{YM}}}}{\rm tr}\int d x^- d^4 x\sqrt{g} \Big(& C^{IJK} X^I[X^J,X^K] + C^{IJi} X^ID_iX^J + C^{Iij} X^IF_{ij} \nonumber \\ & + C^{ijk}\
bset {\mathfrak{A}}_k. \] \end{corollary} The link between Theorem \ref{thm:genus_2constr} and Theorem \ref{thm:genus_1constr} is that we can provide explicit estimates of $\hat \mu_k$ (and hence of $\hat\rho_k$) in terms of the map $\alpha\mapsto M_{\alph
he song was released in etc.) that we leverage to automatically construct these relationship pointers.} for each entity in the knowledge base to its related entities and this relational information is leveraged by the EL model for entity disambiguation (de
very $0<\rho<\hat\rho_1=\hat\rho_1(\Omega,p)$ problem \eqref{eq:main_prob_U} admits a solution which is a local minimum of the energy ${\mathcal{E}}$ on ${\mathcal{M}}_\rho$. In particular, $U$ is positive, has Morse index one and the associated solitary w
. When the spin-orbit coupling is included, the flat band becomes nearly flat and acquires Chern number $\pm 1$. In this case, the Chern fractional insulator~\cite{Sun2011} also becomes a ground state candidate and competes with the Wigner crystal phase.
geq \|Z_{N,p}\|^2_{L^2({\mathbb{R}}^N)}$, \item $\displaystyle 1+\frac{4}{N}<p<2^*-1 \implies \hat\rho_1\left(\Omega,p\right) \geq D_{N,p} \lambda_1(\Omega)^{\frac{2}{p-1}-\frac{N}{2}}$, \end{itemize} where the universal constant $D_{N,p}$ is explicitly w
ter overall agreement with the experimental data than the other (within the experimental error). The level of experiment-theory agreement between the MCPs from both implementations varies in different regions of momentum. Overall, the results from the two
with that of the critical one since, as shown in Section \ref{sec:1const}, $D_{N,1+4/N} = \|Z_{N,p}\|^2_{L^2({\mathbb{R}}^N)}$ (and $\lambda_1(\Omega)$ is raised to the $0^{\text{th}}$-power). Notice that the estimate for the supercritical case is new al
e the complexity of definitions, demonstrating its value in being as a benchmark dataset. \section{Experiments}\label{section:experiments} \subsection{Baselines}\label{model} This section introduces several methods for common generation tasks, which
to the higher ones: by exploiting the relations between $M_{\alpha,k}$ and $c_k$, we can show that the thresholds obtained for Morse index one--solutions in Theorem \ref{thm:intro_GS} can be increased, by considering higher Morse index--solutions, at least
{2 m_\Delta^2} A_0(\xi_\Delta) \right) h G^{a \mu \nu} G^a_{\mu \nu}\,, \label{eq:hgg} \end{equation} where $\xi_X = 4 m_{X}^2/m_h^2$ and the loop function is given by: \begin{equation} A_0 (x) = x (1 -x f(x)) \end{equation} with $f(x) = \left[\sin^{-1} (
, the lower bound for $\hat\rho_3$ provided by Proposition \ref{thm:intro_3>1} is twice that for $\hat\rho_1$ obtained in Theorem \ref{thm:intro_GS}. By continuity, the estimate for $\hat\rho_3$ is larger than that for $\hat\rho_1$ also when $p$ is supercr
R}). The values found are within a factor of ${\sim} 2$ of $10 \: \rm M_{\odot} \ pc^{-2} \ Gyr^{-1}$, which is several times greater than the rate for objects above $0.4 \: \rm M_{\odot}$. \subsubsection{The IMF at other times and places} \label{subsubs
2 \cdot D_{N,p} \lambda_3(\Omega)^{\frac{2}{p-1}-\frac{N}{2}} \geq D_{N,p} \lambda_1(\Omega)^{\frac{2}{p-1}-\frac{N}{2}}$ whenever \[ p\leq 1+\frac{4}{N} + \frac{8}{N^2\log_2\left(1+\frac{4}{N}\right)}. \] In particular, the physically relevant case $N=3$
*(s)+R^i_i(s)u^*(s)+\rho_i^i(s)=0,\quad\hbox{\rm a.e.}~s\in[t,T],~\hbox{\rm a.s.}\end{array}\end{equation} {\rm(ii)} For $i=1,2$, the following convexity condition holds: \begin{equation}\label{convexity}\begin{array}{ll} \displaystyle\mathbb{E}\Big\{\int
that Theorem \ref{thm:genus_1constr} holds true also when using the standard Krasnoselskii genus instead of $\gamma$; this allows to obtain critical points having Morse index bounded from below (see \cite{MR968487,MR954951,MR991264}), and therefore to obta
variables, as in \cite{loop}. We note that for $ N \not= 0 $ the expressions $ \tilde{d}^{\mu}_{jk},~j \not= k $ obtained above are identical to those from \cite{loop} where the derivation was made by another method. One can obtain in the same way the
18740} for the ball. Indeed, on the one hand, in the supercritical case ${\mathcal{E}}_\mu$ is unbounded from below; on the other hand the solution obtained in Theorem \ref{thm:genus_1constr}, for $k=1$, is a local minimum. Thus the Mountain Pass Theorem \
egion and $[a,a+2b]$ the barrier region. The constructed landscape in $[-a,a+2b]$ is given by \begin{align} f(x) = \left\{ \begin{array}{ll} \frac{1}{2}k x^2\quad x\in [-a,a],\\[3pt] \frac{1}{2\pi \sigma^2}\exp\big(-\frac{(x-a-b)^2
s introduction, let us mention that the explicit lower bounds obtained in Theorem \ref{thm:intro_GS} can be easily applied in order to gain much more information also in the case of special domains, as those considered in Remark \ref{rem:specialdomains}. F
^0(S)[2]\\ } \] for the closures $\ol{\bCo}$ of $\bCo$ and $\ol{\bCoa}$ of $\bCoa$. \end{theorem} \begin{proof} We are only left to prove the last assertion, namely that the map $\Rep(\dot{S},\SL_2(\RR),\ol{\bCo})_e\rar \Higgs(S,\bm{w},2,\Ocal_S,
lds when $\Omega=R$ is a rectangle, without further restrictions on $p<2^*-1$. \end{theorem} Therefore our starting problem in $\Omega=B$ can be solved for any mass value also in the critical and supercritical regime, at least for $p$ smaller than this fur
ur in parallel and store the entangled links in the memory. Here we assume that entanglement generation across an elementary link is a deterministic event, i.e., the entanglement generation probability per each attempt is one. An intermediate node $u_i$ wh
ugh no positive solution exists, nodal solutions with higher Morse index can be obtained: in such cases \eqref{eq:main_prob_U} admits \emph{nodal ground states with higher Morse index}. The paper is structured as follows: in Section \ref{sec:blow-up} we p
l advantages of using a small number of kernels: see Section \ref{subsubsec-sensitivity-kernels}. (A length of 9 is also consistent with the average length used in {\textsc{Rocket}}.) \subsubsection{Weights} \label{subsubsec-weights} Kernels with weight
ref{thm:genus_2constr}; that of Theorems \ref{thm:genus_1constr}, \ref{thm:intro_GS} and Proposition \ref{thm:intro_3>1} is developed in Section \ref{sec:1const}, by means of the variational problem with one constraint \eqref{infsuplev}; finally, Section \
(0.5,0.5); \coordinate (A) at (2.5,0.9); \coordinate (B) at (0.5,0.8); \coordinate (C) at (2.5,0.5); \coordinate (D) at (0.5,1.0); \coordinate (E) at (2.7,1.3); \coordinate (F) at (0.5,1.2); \coordinate (G) at (2.7,1.7);
L^2(\Omega)$. Such functions are ordered in such a way that the corresponding eigenvalues $\lambda_k(\Omega)$ satisfy \[ 0<\lambda_1(\Omega)<\lambda_2(\Omega)\leq\lambda_3(\Omega)\leq\dots, \] and $\varphi_1$ is chosen to be positive on $\Omega$. $C_{N,p}$
ble \ref{ptrap2}. One can show that the angular amplitude (in radians) of the oscillation executed by the deformed cloud in the scissor mode is given by \begin{equation} \begin{split} \theta = \tan^{-1}\left(\frac{e^{\frac{2\alpha_x }{\omega} }-1}{e^{\fra
\mathbb{R}}^N)}=\left(\frac{p+1}{2C_{N,p}}\right)^{N/2}. \] Finally, $C$ denotes every (positive) constant we need not to specify, whose value may change also within the same formula. \section{Blow-up analysis of solutions with bounded Morse index}\label{
2}{\beta_j}\Big),\alpha_j>0,\beta_j>0, j=1,2 \end{equation} To have discounted prices being a martingale, according to equation (\ref{martingale_condition}): \begin{align}\nonumber \psi^j_{Gamma}(-\text{i})&=t^{-1}\log\Bigg[\Bigg(1+\frac{\text{i}\mu_j
quad\int_\Omega u_n^2\, dx=1,\qquad \int_\Omega |\nabla u_n|^2\, dx=:\alpha_n. \end{equation} To start with, we recall the following result (actually, in \cite{MR3318740}, the result is stated for positive solution, but the proof does not require such assu
c{n}{a_n}$. \end{proof} A critical proof technique will involve proving that two sets $A$ and $B$ cannot have different intrinsic densities by creating a computable permutation which sends $A$ to $B$ modulo a set of density zero. The following lemma shows
xt{ bounded}. \] \end{lemma} Next we turn to the study of sequences having arbitrarily large $H^1_0$-norm. In particular, we will focus on sequences of solutions having a common upper bound on the Morse index \[ m(u_n) = \max\left\{k : \begin{array}{l} \ex
that in the thermodynamic limit physical states and unphysical states have the same energy and the same expectation value for physical observables~\cite{Zschocke2015}. Thus, we can ignore $P_\textrm{phys}$ and use $\ket{\Psi}$ directly to calculate observ
{eq:mainass_secMorse} \text{the sequence }\{(u_n,\mu_n,\lambda_n)\}_n\text{ satisfies \eqref{eq:auxiliary_n}, with }\alpha_n\to+\infty\text{ and }m(u_n)\leq \bar k, \end{equation} for some $\bar k\in{\mathbb{N}}$ not depending on $n$. \begin{lemma}\label{l
n{itemizePacked} \item Develop reliable indicators for assessing the compliance of combustion models with underlying CFD-solution. \item Consider criteria that indicate when models are employed outside its intended validity and violate intrinsic model assu
_{\bar k}$ we define \[ \phi := \sum_{h=1}^{\bar k} t_h \varphi_h. \] By denoting $J_{\lambda,\mu}(u)={\mathcal{E}}_\mu(u)+\frac{\lambda}{2}\|u\|_{L^2}^2$, so that Morse index properties can be written in terms of $J''_{\lambda,\mu}$, we have \[ \begin{spl
lambda^+= \sqrt{M_2^2-1}+M_2, \hspace{30cm} \end{eqnarray*} \scalebox{0.77}{ \begin{minipage}{1\textwidth} \begin{eqnarray*} &&{\sigma^+}^2=\frac{1}{\left(M_{2,X}+M_{2,Y}-2\right) \left(M_{2,X}+M_{2,Y}+2\right)} \hspace{30cm} \\ &&\hspace{2cm} \Bigg( 9 M_{
|^{p-1}\phi^2\,dx \\ &\leq \sum_{h=1}^{\bar k} t_h^2(\lambda_{h}(\Omega) + \lambda_n) - (p-1)\mu_n\int_\Omega |u_n|^{p-1}\phi^2\,dx \leq - (p-1)\mu_n\int_\Omega |u_n|^{p-1}\phi^2\,dx, \end{split} \] where equality holds if and only if $t_1=\dots=t_{\ba
}} \notag\\ &\stackrel{{P}}{\longrightarrow} u^2\kappa\,\operatorname{\mathbb{E}}\left[ \frac{1}{\Lambda^{-1}+\frac{u}{\tau}} \right]. \end{align} In the last line, $\Lambda$ is a random variable as in Definition \ref{def:Xi}. {Also, we used Assumption \r
\end{multline*} We deduce that $J''_{\lambda_n,\mu_n}(u_n)$ is negative definite on $\spann\{u_n, \varphi_1,\dots,\varphi_{\bar k}\}$, in contradiction with the bound on the Morse index (note that $u_n$ cannot be a linear combination of a finite number of
neat, order-theoretic way of viewing the pseudoproduct. \begin{lemma} Let $G$ be an ordered groupoid. For each pair $x,y \in G$ put $$\langle x,y \rangle\, = \{(x',y') \in G \times G \colon {\bf d}(x' ) = {\bf r}(y') \mbox{ and } x' \leq x \mb
ma \ref{lem:lambda_bdd_below} we have that $\lambda_n$ is bounded below. As a consequence, we can use H\"{o}lder inequality with $\|u_n\|_{L^2}=1$ and \eqref{eq:auxiliary_n} to write \[ \mu_n\,\|u_n\|^{p-1}_{L^{\infty}}\ge \mu_n \,\|u_n\|^{p+1}_{L^{p+1}}=\
}}, \end{align} coming from \eqref{eq:total_l_not_0}, \eqref{eq:total_l_0}, and \eqref{eq:toanalyze}, which is majorized by the expression in the statement of the theorem. \bibliographystyle{plain}
$P_n\in\Omega$ such that $|U_n(P_n)|=\|U_n\|_{L^{\infty}(\Omega)}$ and set \begin{equation} \label{tildepsn} \tilde\varepsilon_n: =|U_n(P_n)|^{-\frac{p-1}{2}}=\frac{1}{\sqrt{\mu_n\,\|u_n\|^{p-1}_{L^{\infty}}}}\longrightarrow 0 \end{equation} Hence, $|U_n(
ltirow{2}{*}{Method} & \multicolumn{2}{c}{MobileNet-V2 on CIFAR-10} \\ \cmidrule(lr){2-4} & Sparsity & Starting Acc. & Pruned Acc.\\ \midrule Global MP & 98.0\% & $94.15\%\pm0.23\%$ & $10\%$ \textit{(Unable to learn)} \\ \textbf{Global MP with MT} & 98.0\%
nce $\lambda_n$ is bounded from below, we conclude \begin{equation} \label{limtildelam} \frac{\lambda_n}{|U_n(P_n)|^{p-1}}\longrightarrow \tilde\lambda\in [0,1]. \end{equation} Now, we are left to prove that $\tilde\lambda>0$. Let us define \begin{equation
c response functions, most obviously the order parameter. For completeness we note that the phase diagram in Fig.~\ref{fig:phasediagram_move} (derived in Ref.\cite{hu2021competing}) made use of self-consistent Hartree-Fock theory for a further simplifie
ences, \[ \frac{\tilde\varepsilon_n}{d_n}\longrightarrow L\in [0,+\infty] \qquad\text{and}\qquad \tilde\Omega_n\rightarrow\left\{ \begin{array}{ll} {\mathbb{R}}^n, & \text{if $L=0$;} \\ H, & \text{if $L>0
\end{theorem} \begin{proof} Let $\lambda = (2^{{<}\kappa})^+$. Let $M$ be an elementary submodel of $H(\chi)$ (for large enough $\chi$), with $f\in M$, $^{{<}\kappa} M \subseteq M$, $M \cap \lambda$ is an ordinal and $|M| = 2^{{<}\kappa}$. Let $\delta =
mbda_n\,\tilde \varepsilon_n^2\,\tilde V_n=|\tilde V_n|^{p-1}\tilde V_n, & \hbox{in}\,\, \tilde\Omega_n;\\ |\tilde V_n|\le |\tilde V_n(0)|=1, & \hbox{in}\,\, \tilde\Omega_n;\\ \tilde V_n=0, & \hbox{on}\,\, \partial\tilde \Omega_n. \end{array} \ri
staring point is the decomposition of the Mayer bond \eqref{MayerBond} into \begin{equation} \label{DecompositionBond} b_{\rm M}(\mathcal{L}_i,\mathcal{L}_j)=b_{\rm T}(\mathcal{L}_i,\mathcal{L}_j) + b_{\rm I}(\mathcal{L}_i,\mathcal{L}_j) \; , \end{equation
m{loc}}}(\overline H)$ where $\tilde V$ solves \begin{equation} \label{limprob1} \left\{ \begin{array}{ll} -\Delta \tilde V+\tilde\lambda\,\tilde V=|\tilde V|^{p-1}\tilde V, & \hbox{in}\,\, H;\\ |\tilde V|\le |\tilde V(0)|=1, & \hbox{in}\,\, H;\\
ability theorem. \begin{thm}\label{thm:sta} For every positive integer $r\geq 4$, we have \[ g(n, r)= r^{n/2 + o(n)}. \] Moreover, for every $\varepsilon >0$, there exist $\delta, n_0>0$ such that for all integers $n\geq n_0$ the following holds. Let $A$ b
$ is stable outside a compact set (see Definition $2.1$ in \cite{MR2825606}) so that, by Theorem $2.3$ and Remark $2.4$ of \cite{MR2825606}, we have $$\tilde V(x)\rightarrow 0 \quad\quad \text{as} \quad\quad |x|\rightarrow +\infty.$$ Moreover, since $\til
completed results with different sampling rates in Fig. \ref{figure_video_sr0.05}, Fig. \ref{figure_video_sr0.1}, Fig. \ref{figure_video_sr0.2}, Fig. \ref{figure_hall_sr0.05} and Fig. \ref{figure_hall_sr0.1}. It is clear from the figures that the results o
dict Theorems $2$ and $9$ of \cite{MR2322150}, being non trivial and stable outside a compact set. Thus, $\tilde\lambda >0$ and by \eqref{limtildelam} we conclude $\lambda_n\rightarrow +\infty$. \end{proof} \begin{remark}\label{rem4} We stress that the sca
is stable everywhere except the regions where adiabatic index numerical solution diverge. \begin{figure}[!htbp] \centering \includegraphics[width=\textwidth]{AdiabaticKB.pdf} \caption{($first\;row$) Adiabatic index for anisotropic Finch-Skea s
_{\Omega\cap B_{R_n\tilde\varepsilon_n}(Q_n)}U_n, $$ for some $R_n\to +\infty$. Then the above procedure can be repeated by replacing $P_n$ with $Q_n$ in definition \eqref{tildepsn}. \end{remark} The local description of the asymptotic behaviour of the so
ld also be utilised by several systems that use these scientific document language models to incorporate informed strategies in downstream systems such as recommendation systems.
y\in \Omega_n :=\frac{\Omega-P_n}{\varepsilon_n}, \end{equation} where $P_n$ is defined before \eqref{tildepsn}, and $\varepsilon_n=\frac{1}{\sqrt{\lambda_n}}\to 0$. Then, $V_n$ satisfies \begin{equation} \nonumber \left\{ \begin{array}{ll} -\Delta
lting from the in-plane ferroelectric distortion for all studied short-period superlattices.} \begin{ruledtabular} \begin{tabular}{cccccc} Superlattice & Space & $P_x$ & $P_y$ & $P_z$ & $\Delta E$ \\ & group & \multicolumn
\end{array} \right. \end{equation} As before, we have (up to a subsequence) $V_n\rightarrow V$ in $\mathcal{C}^1_{\mathrm{loc}}(\overline H)$ where $H$ is either ${\mathbb{R}}^N$ or a half space and $V$ solves \begin{equation} \label{limprob2} \left\{
e the upper plot shows the SM in orange and contributions for sizable right-handed currents in red and green, compared to small deviations induced by NP in $C_7$ in blue, whereas NP benchmarks with $C_9$ or $C_{10}$ are not shown, as they are SM--like. The
g \eqref{limprob1} we also have $m(V)<+\infty$. We collect some well known property of such a $V$ in the following result. \begin{theorem}[\cite{MR688279,MR2825606,MR2322150,MR2785899}]\label{thm:unif_est_Farina} Let $V$ be a classical solution to \eqref{l
^{n-1} \in L_{pq} \Rightarrow x^n \in L_{pq}$. This shows that we have an aperiodic Muller automata accepting the finite union $UV^{\omega}$ that represents $L$. Thus, starting from the assumption that $L$ is an aperiodic language, we have obtained an a
V$) such that \[ \|V\|_{L^{\infty}} + \|\nabla V\|_{L^{\infty}}<C. \] \end{enumerate} \end{theorem} \begin{proof} Claim 2 follows from Theorem 2.3 and Remark 2.4 of \cite{MR2825606}, see also \cite[Remark 1.4]{MR688279}. As a consequence, Theorem 1.1 of
\mathrm{d} \eta_{{2\mu}}\\ &+i\iiint_{\mathbb{R}^{{2\mu}}} \mathbf{T}_{\mu}(\eta_1,\cdots,\eta_{2\mu}, \xi-\eta_1-\cdots-\eta_{2\mu})e^{it\left[\frac{\eta_1}{\sqrt{1+\eta_1^2}}+\cdots+\frac{\eta_{2\mu}}{\sqrt{1+\eta_{2\mu}^2}}+\frac{\xi-\eta_1-\cdots-\eta_
e sequence $\{U_n\}$ of solutions to \eqref{equn} has uniformly bounded Morse index, and if $P_n\in\Omega$ is such that $|U_n(P_n)|=\|U_n\|_{L^{\infty}(\Omega)}\to+\infty$, then $$ \sqrt{\lambda_n}\,d(P_n,\partial\Omega)\rightarrow +\infty,\qquad\text{whe
ent intensity grew from 3 in 2013 to 7 in 2019. At a continuous score level, real-valued scores associated with sentiment was first used in 2015; in 2016 it switched to sentiment intensity; in 2017 it was being used as a way to determine the intensity of a
ves \eqref{limprob2} in ${\mathbb{R}}^N$ and $1<m(V)<+\infty$, then $V$ is necessarily sign-changing. \end{remark} Following the same pattern as in \cite{MR2825606}, we now analyze the global behaviour of a sequence $\{U_n\}$ of solutions to \eqref{equn}
{70.09} & 66.46 & 72.02 & \multicolumn{1}{c|}{57.52} & 64.62 & 65.87 & 66.44 \\ \midrule \multicolumn{11}{l}{\textbf{One-stage}}
d ${\lambda_n}\,d(P^1_n,\partial\Omega)^2\rightarrow +\infty$. We now look for other possible sequences of (local) extremum points $P^i_n$, $i=2,3,..$, along which $|U_n|$ goes to infinity. For any $R>0$, consider the quantity \begin{equation} \nonumber h_
}\label{eq_noisy} \tilde{\rho}_j^t = \frac{\sum_{r=T_0+1}^{t} \mathcal{Z}_j^r }{t-T_0}. \end{equation} $\mathcal{L}_j(t)$ and $\mathcal{U}_j{(t)}$ denote the lower and upper confidence bounds of Bin $j$ respectively, and are defined as \begin{equat
u_n$, 'disjoint' from $P^1_n$. Indeed, let us suppose that \begin{equation} \nonumber \limsup_{R\to +\infty} h_1(R)=4\delta>0. \end{equation} Hence, up to a subsequence and for arbitrarily large $R$, we have \begin{equation} \label{ass1} \lambda_n^{-\frac{
MillerBertolami2006}. Although this evolutionary path has been suggested to explain the formation of hydrogen-poor [WR] stars, it might not apply to all PNe harboring [WR] stars \citep[see][]{Gorny2000}. Statistical studies of PNe around [WR] CSPNe have s
|x-P^1_n|\ge R\,\lambda_n^{-1/2}}|U_n(x)|. \end{equation} Clearly, assumption \eqref{ass1} implies that $|U_n(P_n^2)|\rightarrow +\infty$. We first prove that the sequences $P_n^1$ and $P_n^2$ are far away each other. \begin{lemma} \label{disj} Take $R$ su
s >n$, then $I$ is glicci. \end{corollary} We now discuss three classes of ideals which satisfy the hypotheses of Corollary \ref{cor:AutomaticallyGlicci}. We omit many definitions of the particular ideals in question, and instead provide references. \s
up to a subsequence \[ \lambda_n^{1/2}|P_n^2-P^1_n|\rightarrow R'\ge R. \] Let us now recall that by \eqref{defVn} and the subsequent discussion, we have: \begin{equation} \label{limblowseq} \lambda_n^{-\frac{1}{p-1}}\, U_n(\lambda_n^{-1/2}\,y+P^1_n) =: V^
ns outside the sunspot and are fully consistent with those seen in coronal oscillations. The modulation itself is caused by the simultaneous presence of waves with closely spaced frequencies (as may be seen in the Fourier power spectra in Fig.~\ref{kpfig1}
^2-P^1_n)\bigl)\big| \rightarrow \big |V(y')\big |,\quad |y'|=R'\ge R. \end{equation} Since $V$ is vanishing for $|y|\to +\infty$, one can choose $R$ such that $|V(y)|\le\delta$ for every $ |y|\ge R$. But this contradicts \eqref{ass1}. \end{proof} Furtherm
\begin{small} \begin{align*} \mathbb{E}\left(\left\|\bm{\Delta}_{t+1}\right\|\right) \leq& \max \left\{\sqrt{\frac{\sigma_{\max }\left(\bm{H}_{t}\right)}{\sigma_{\min }\left(\bm{H}_{t}\right)}\left(\frac{\zeta^{2}}{1-\zeta^{2}}\right)}\left\|\bm{
ightarrow +\infty \end{equation} as $n\to \infty$. Moreover, \begin{equation} \label{maxp2nball} |U_n(P_n^2)|=\max_{\Omega\cap B_{R_n\lambda^{-1/2}_n}(P^2_n)}|U_n| \end{equation} for some $R_n\to +\infty$. \end{lemma} \begin{proof} Let us set \begin{equati
f the link probability $\alpha=\mathcal{O}(\frac{\log n}{n})$, at time step $t$, by spectral estimator, we have $$\mathbb{P}(\hat{\Theta}_{t,i}=\Theta_{t,i})=\left\{ \begin{aligned} 1-o(1) & , & \frac t 2\geq \max {C_i}\\ o(1) & , & \frac t 2 < \max {C_i},
ref{pn2}, $\tilde\varepsilon^2_n\le (2\delta)^{-\frac{p-1}{2}}\lambda_n^{-1/2}$, so that $$R^{(2)}_n\ge \frac{(2\delta)^{\frac{p-1}{2}}}{2}\,\lambda_n^{1/2}\,{|P_n^2-P_n^1|} \rightarrow +\infty, $$ as $n\to +\infty$ by Lemma \ref{disj}. We claim that this
used in the EL Eq.~(15). Solutions to Eq.~\eqref{B1} define a trajectory made by a collection of steepest descents and ascents between $\vec{q}_{\textrm{in}}$ and $\vec{q}_{\textrm{fin}}$ in terms of the parameter $\tau$. \par On the other hand, the LAP t
|x-P^2_n|\ge \frac{1}{2}\,|P^2_n-P^1_n|\ge R\,\lambda_n^{-1/2},$$ for arbitrarily large $R$. This means that $$\Omega\cap B_{R^{(2)}_n\tilde\varepsilon^2_n}(P^2_n)\subset \Omega\backslash B_{R\,\lambda_n^{-1/2}}(P^1_n).$$ Then, the claim follows. Now, by r
6.6) & $<0.0001$ & -0.152 \\ Admission via ED (\%) & 70.4 (56.7-82.0) & 68.9 (56.0-80.3) & 74.4 (58.4-86.6) & $<0.0001$ & 0.121 \\ Charlson score, median (points) & 2.0 (2.0-3.0) & 2.0 (2.0-3.0) & 2.0 (2.0-3.0) & $<0.0001$ & 0.208 \\ Charlson score $\geq 4
all} holds by defining $R_n=R^{(2)}_n\tilde\varepsilon_n^2\,\sqrt{\lambda_n}$, and \eqref{distp2nbound} follows by Corollary \ref{distpnbound}. \end{proof} We can now iterate the previous arguments: let us define, for $k\ge 1$, \begin{equation} \label{d
ficantly larger improvement than MC post-processing itself (19\%, $p$=9e-26). \begin{table} \centering \scriptsize \caption{ Admission prevalence (Admissions/Total (\%)) among patients in the MIMIC-IV-ED data repos
\nonumber \sqrt{\lambda_n}\,d(P^i_n,\partial\Omega)\rightarrow +\infty;\quad \lambda_n^{1/2}|P_n^i-P^j_n|\rightarrow +\infty,\quad\quad i,j=1,...,k,\quad i\neq j \end{equation} as $n\to +\infty$. Assume that $$\limsup_{n\to +\infty} h_k(R)=4\delta>0.$$ As
psi_n(\bm{k})\rangle = |\psi_n(-\bm{k})\rangle^*$, which leads to $\bm{B}_n (-\bm{k})=-\bm{B}_n (\bm{k})$. Then, we have $C_{n} (k_3)=0$ for $k_3=0$ and $\pi$, because of $B_n (-k_1,-k_2,0)=-B_n (k_1,k_2,0)$ and $B_n (-k_1,-k_2,-\pi(=\negthickspace \pi
number |U_n(P_n^{k+1})|=\max_{d_{n,k}(x)\ge R\,\lambda_n^{-1/2}}|U_n(x)| \end{equation} with $\lim_{n\to +\infty}|U_n(P_n^{k+1})|=+\infty$. Moreover, as in Lemma \ref{disj} we deduce that, for every $i=1,...,k$ \begin{equation} \label{limblowseqi} \lambda_
onal $q-$associate of $F(x)$, $f(x)$, with all primitive idempotents of $R_{q,p^m }$ are not equivalent to zero. From Corollary~\ref{corolarioidemp}-(ii), the idempotents \begin{eqnarray} e_0 (x) &=& \widehat{A_0}=p^{-m}\left(1+x+x^2+...+x^{p^m -1}\right)\
we conclude that \begin{equation} \lambda_n^{1/2}|P_n^{k+1}-P^i_n|\rightarrow +\infty \end{equation} as $n\to \infty$, for every $i=1,...,k$. Setting now \begin{equation} \nonumber \tilde\varepsilon^{k+1}_n: =|U_n(P^{k+1}_n)|^{-\frac{p-1}{2}}\quad \mathrm{
$IntDst$ & $-40$~nT & 172 \\ $IntDst$ & $-30$~nT & 221 \\ $IntDst$ & $-25$~nT & 222 \\ $Int(d(\textit{SYM-H})/dt)$ & $-50$~nT & 154 \\ $Int(d(\textit{SYM-H})/dt)$ & $-40$~nT & 191 \\ $Int(d(\textit{SYM-H})/dt)$
e same arguments as in Lemma \ref{distbd}, we get \begin{equation} \label{maxpkn} |U_n(P_n^{k+1})|=\max_{\Omega\cap B_{R^{(k+1)}_n\tilde\varepsilon^{k+1}_n}(P^{k+1}_n)} |u_n|\,, \end{equation} and furthermore $$ \lim_{n\to +\infty}\tilde\varepsilon_n^{k+1}
ther improvement. However, the mainstream IQA methods, such as Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM) index \cite{Wang2004}, do not have high correlation with subjective opinions in image SR \cite{Wang2020}. \begin{figure}[t]
ation} Now, by the same arguments as in \cite{MR2825606}, it turns out that the iterative procedure must stop after \emph{at most} $\bar k-1$ steps, where $\bar k =\lim_{n\to +\infty} m(u_n)$. Thus, we have proved: \begin{proposition} \label{glob1} Let $\{
saturation gain is reached at a smaller pump power at 2~T, because of the combined effect of the significant increase in internal quality factor, and the small increase in Kerr coefficients, at 2~T. {\color{black}For the 1~$\mu$m-wide resonators, the satur
l\Omega)\rightarrow +\infty;\quad \lambda_n^{1/2}|P_n^i-P^j_n|\rightarrow +\infty,\quad\quad i,j=1,...,k,\quad i\neq j \end{equation} as $n\to +\infty$ and \begin{equation} \nonumber |U_n(P_n^{i})|=\max_{\Omega\cap B_{R_n\lambda^{-1/2}_n}(P^{i}_n)}|U_n|,\q
-1)/(q-1), \ q^{m-1}, \ (q-1)q^{m-2} \right). $$ \end{proof} Theorem \ref{thm-HMdesign171} tells us that for some $k \geq 3$ with $A_k \neq 0$, the supports of the codewords with weight $k$ in ${\mathcal{C}}_{(q,m)}$ form $2$-$((q^m-1)/(q-1), k, \lam
decays exponentially away from the blow-up points. \begin{proposition} \label{glob2} Let $\{U_n\}_n$ satisfy the assumptions of Proposition \ref{glob1}. Then, there exist $P_n^1,...,P_n^k$ and positive constants $C$, $\gamma$, such that \begin{equation} \l
s $C'\subset C$ satisfying the definition and contained in arbitrarily small neighborhoods of $W^s_\mathbb{D}(x)$. {\rm If this were not the case there would exist a small neighborhood $U$ of $W^s_\mathbb{D}(x)$ such that each connected component of $C\cap
R)$ it holds \begin{equation} \nonumber \lambda_n^{-\frac{1}{p-1}}\max_{d_{n,k}(x)\ge R\,\lambda_n^{-1/2}} |U_n(x)| \le \Bigr (\frac{1}{2p} \Bigl )^{\frac{1}{p-1} } \end{equation} Then, for $n>n_0(R)$ and for $x\in \{d_{n,k}(x)\ge R\,\lambda_n^{-1/2}\}$,
given by \begin{equation} \theta_H = \left( u^I{\rm d} u^R - u^R{\rm d} u^I \right)\wedge i_{\Gamma}\mathrm{vol}_{\mathcal{M}} + \rho^j_a {\rm d} u^a \wedge i_{\frac{\partial}{\partial x^{j}}}\mathrm{vol}_\mathcal{M} - H\mathrm{vol}_\mathcal{M} \, . \en
inearization of equation \eqref{equn} at $U_n$; let us compute this operator on the functions $$\phi^i_n(x)=e^{-\gamma\sqrt{\lambda_n}\,|x-P^i_n|}\,,\quad\quad \gamma>0,\quad\quad i=1,...,k$$ in $\{d_{n,k}(x)\ge R\,\lambda_n^{-1/2}\}$. We obtain: $$L_n \ph
i-body interactions. However, neither of these tasks is readily supported by established software and the following software was developed and released as open-source to support this work. The first software is the D-Wave Ising Sample Collector (DWISC, \ur
n|=R\lambda_n^{-1/2}$, $ i=1,...,k,$ and $R$ large we have $$ e^{\gamma R}\phi^i_n(x)-\lambda_n^{-\frac{1}{p-1}}|U_n(x)|= 1-\lambda_n^{-\frac{1}{p-1}}|U_n(x)|>0 $$ as $n\to +\infty$, by \eqref{limblowseq}. Note further that $$\{x:d_{n,k}(x)= R\,\lambda_n^{
Pr. : primitive)}\label{tab1} \begin{center} \resizebox{100mm}{!}{ \begin{tabular}{||c||*{10}{m{2cm}|}|} \hline\hline $ $ & $H_{min}$ & $H_{min}$ of the Pr. & $c_1$ for $p=1$ & $c_1$ for $p=1.4$ & $c_1$ of the Pr. for $p=
|U_n(x)|\ge 0\quad\quad \mathrm{on}\quad\quad\{d_{n,k}(x)= R\,\lambda_n^{-1/2}\}\cup\partial\Omega$$ and \begin{equation} \nonumber L_n(\phi_n-|U_n|)\ge -L_n\,|U_n|=\Delta \,|U_n|-\lambda_n\,|U_n|+p|U_n|^p\ge (p-1)\,|U_n|^p\ge 0 \end{equation} in $\Omega\b
t the highest rank, to human nouns, to (higher and lower) animate nouns, to inanimate nouns at the lowest rank \citep{Corbett:2000:Number}. In Slave, an Athabaskan language in Northwest Territories, Canada, plural marking occurs optionally only for huma
C \lambda_n^{\frac{1}{p-1}}$$ for some $C>0$, we also have, in $\{d_{n,k}(x)\le R\,\lambda_n^{-1/2}\}$, $$ |U_n(x)|\le\|U_n(x)\|_{L^{\infty}(\Omega)}=|U_n(P^1_n)|\le C e^{\gamma R}\lambda_n^{\frac{1}{p-1}}\sum_{i=1}^k e^{-\gamma\sqrt{\lambda_n}|x-P_n^i
rized curve $I\ni s\mapsto (c_1(s),c_2(s))$ in $\mathbb R^2$ generates a hypersurface of revolution $$\{(c_1(s), c_2(s)\varphi): s\in I, \varphi\in S\cap C^\infty\}\subset \mathbb R\times C^\infty(M,\mathbb R)\,,$$ and the induced metric in the $(s,\varp
solution $V$ of \begin{equation} \label{eqV} -\Delta V+ V=| V|^{p-1} V \end{equation} in ${\mathbb{R}}^N$. \begin{lemma} \label{lemlim1} Let \eqref{eq:mainass_secMorse} hold. Then $|u_n|$ admits $k\le \bar k$ local maxima $P_n^1,...,P_n^k$ in $\Omega$ su
idea behind quantum computing is to use quantum physics phenomena~\cite{OBrien2010}, such as superposition and entanglement. Specifically, in the quantum gate-based model, quantum algorithms are implemented as a sequence of logical operations under the qu
up to a subsequence, \begin{equation} u_{i,n}(x)\rightarrow V_i\quad\quad \mathrm{in}\,\,\mathcal{C}^1_{{\mathrm{loc}}}({\mathbb{R}}^n)\quad \mathrm{as}\,\,n\to +\infty,\quad \forall\,\,i=1,2,...,k, \end{equation} where $V_i$ is a bounded solution of \eqre
is organized as follows. Section \uppercase\expandafter{\romannumeral2} introduces the related work. Section \uppercase\expandafter{\romannumeral3} explains the methodology and process to construct the proposed large-scale database. Section \uppercase\expa