Abstract We consider thed-dimensional MagnetoHydroDynamics (MHD) system defined on a sufficiently smooth bounded domain,$$d = 2,3$$ with homogeneous boundary conditions, and subject to external sources assumed to cause instability. The initial conditions for both fluid and magnetic equations are taken of low regularity. We then seek to uniformly stabilize such MHD system in the vicinity of an unstable equilibrium pair, in the critical setting of correspondingly low regularity spaces, by means of explicitly constructed, static, feedback controls, which are localized on an arbitrarily small interior subdomain. In additional, they will be minimal in number. The resulting space of well-posedness and stabilization is a suitable product space$$\displaystyle \widetilde{\textbf{B}}^{2- ^{2}\!/_{p}}_{q,p}(\Omega )\times \widetilde{\textbf{B}}^{2- ^{2}\!/_{p}}_{q,p}(\Omega ), \, 1< p < \frac{2q}{2q-1}, \, q > d,$$ of tight Besov spaces for the fluid velocity component and the magnetic field component (each βcloseβ to$$\textbf{L}^3(\Omega )$$ for$$d = 3$$ ). Showing maximal$$L^p$$ -regularity up to$$T = \infty $$ for the feedback stabilized linear system is critical for the analysis of well-posedness and stabilization of the feedback nonlinear problem. 
                        more » 
                        « less   
                    
                            
                            Finite-dimensional boundary uniform stabilization of the Boussinesq system in Besov spaces by critical use of Carleman estimate-based inverse theory
                        
                    
    
            Abstract We consider the π-dimensional Boussinesq system defined on a sufficiently smooth bounded domain and subject to a pair { v , u } \{v,\boldsymbol{u}\} of controls localized on { Ξ ~ , Ο } \{\widetilde{\Gamma},\omega\} .Here, π£ is a scalar Dirichlet boundary control for the thermal equation, acting on an arbitrarily small connected portion Ξ ~ \widetilde{\Gamma} of the boundary Ξ = β β‘ Ξ© \Gamma=\partial\Omega .Instead, π is a π-dimensional internal control for the fluid equation acting on an arbitrarily small collar π supported by Ξ ~ \widetilde{\Gamma} .The initial conditions for both fluid and heat equations are taken of low regularity.We then seek to uniformly stabilize such Boussinesq system in the vicinity of an unstable equilibrium pair, in the critical setting of correspondingly low regularity spaces, by means of an explicitly constructed, finite-dimensional feedback control pair { v , u } \{v,\boldsymbol{u}\} localized on { Ξ ~ , Ο } \{\widetilde{\Gamma},\omega\} .In addition, they will be minimal in number and of reduced dimension; more precisely, π will be of dimension ( d - 1 ) (d-1) , to include necessarily its π-th component, and π£ will be of dimension 1.The resulting space of well-posedness and stabilization is a suitable, tight Besov space for the fluid velocity component (close to L 3 β’ ( Ξ© ) \boldsymbol{L}^{3}(\Omega) for d = 3 d=3 ) and a corresponding Besov space for the thermal component, q > d q>d .Unique continuation inverse theorems for suitably over-determined adjoint static problems play a critical role in the constructive solution.Their proof rests on Carleman-type estimates, a topic pioneered by M.βV. Klibanov since the early 80s. 
        more » 
        « less   
        
    
    
                            - PAR ID:
- 10284150
- Date Published:
- Journal Name:
- Journal of Inverse and Ill-posed Problems
- Volume:
- 0
- Issue:
- 0
- ISSN:
- 0928-0219
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
- 
            
- 
            Abstract We investigate the rigidity of global minimizers u β₯ 0 u\ge 0 of the Alt-Phillips functional involving negative power potentials β« Ξ© ( β£ β u β£ 2 + u β Ξ³ Ο { u > 0 } ) d x , Ξ³ β ( 0 , 2 ) , \mathop{\int }\limits_{\Omega }(| \nabla u{| }^{2}+{u}^{-\gamma }{\chi }_{\left\{u\gt 0\right\}}){\rm{d}}x,\hspace{1.0em}\gamma \in \left(0,2), when the exponent Ξ³ \gamma is close to the extremes of the admissible values. In particular, we show that global minimizers in R n {{\mathbb{R}}}^{n} are one-dimensional if Ξ³ \gamma is close to 2 and n β€ 7 n\le 7 , or if Ξ³ \gamma is close to 0 and n β€ 4 n\le 4 .more » « less
- 
            Abstract We consider integral area-minimizing 2-dimensional currents$$T$$ in$$U\subset \mathbf {R}^{2+n}$$ with$$\partial T = Q\left [\!\![{\Gamma }\right ]\!\!]$$ , where$$Q\in \mathbf {N} \setminus \{0\}$$ and$$\Gamma $$ is sufficiently smooth. We prove that, if$$q\in \Gamma $$ is a point where the density of$$T$$ is strictly below$$\frac{Q+1}{2}$$ , then the current is regular at$$q$$ . The regularity is understood in the following sense: there is a neighborhood of$$q$$ in which$$T$$ consists of a finite number of regular minimal submanifolds meeting transversally at$$\Gamma $$ (and counted with the appropriate integer multiplicity). In view of well-known examples, our result is optimal, and it is the first nontrivial generalization of a classical theorem of Allard for$$Q=1$$ . As a corollary, if$$\Omega \subset \mathbf {R}^{2+n}$$ is a bounded uniformly convex set and$$\Gamma \subset \partial \Omega $$ a smooth 1-dimensional closed submanifold, then any area-minimizing current$$T$$ with$$\partial T = Q \left [\!\![{\Gamma }\right ]\!\!]$$ is regular in a neighborhood of $$\Gamma $$ .more » « less
- 
            null (Ed.)Most of existing statistical theories on deep neural networks have sample complexities cursed by the data dimension and therefore cannot well explain the empirical success of deep learning on high-dimensional data. To bridge this gap, we propose to exploit the low-dimensional structures of the real world datasets and establish theoretical guarantees of convolutional residual networks (ConvResNet) in terms of function approximation and statistical recovery for binary classification problem. Specifically, given the data lying on a π-dimensional manifold isometrically embedded in β^π·, we prove that if the network architecture is properly chosen, ConvResNets can (1) approximate Besov functions on manifolds with arbitrary accuracy, and (2) learn a classifier by minimizing the empirical logistic risk, which gives an excess risk in the order of πβ2s/(2s+d), where π is a smoothness parameter. This implies that the sample complexity depends on the intrinsic dimension π, instead of the data dimension π·. Our results demonstrate that ConvResNets are adaptive to low-dimensional structures of data sets.more » « less
- 
            Abstract An unidentified quantum fluid designated the pseudogap (PG) phase is produced by electron-density depletion in the CuO 2 antiferromagnetic insulator. Current theories suggest that the PG phase may be a pair density wave (PDW) state characterized by a spatially modulating density of electron pairs. Such a state should exhibit a periodically modulating energy gap $${\Delta }_{{{{{{\rm{P}}}}}}}({{{{{\boldsymbol{r}}}}}})$$ Ξ P ( r ) in real-space, and a characteristic quasiparticle scattering interference (QPI) signature $${\Lambda }_{{{{{{\rm{P}}}}}}}({{{{{\boldsymbol{q}}}}}})$$ Ξ P ( q ) in wavevector space. By studying strongly underdoped Bi 2 Sr 2 CaDyCu 2 O 8 at hole-density ~0.08 in the superconductive phase, we detect the 8 a 0 -periodic $${\Delta }_{{{{{{\rm{P}}}}}}}({{{{{\boldsymbol{r}}}}}})$$ Ξ P ( r ) modulations signifying a PDW coexisting with superconductivity. Then, by visualizing the temperature dependence of this electronic structure from the superconducting into the pseudogap phase, we find the evolution of the scattering interference signature $$\Lambda ({{{{{\boldsymbol{q}}}}}})$$ Ξ ( q ) that is predicted specifically for the temperature dependence of an 8 a 0 -periodic PDW. These observations are consistent with theory for the transition from a PDW state coexisting with d -wave superconductivity to a pure PDW state in the Bi 2 Sr 2 CaDyCu 2 O 8 pseudogap phase.more » « less
 An official website of the United States government
An official website of the United States government 
				
			 
					 
					
 
                                    