Search results for "Eigenvector"

showing 10 items of 303 documents

Some results on the rotated infinitely deep potential and its coherent states

2021

The Swanson model is an exactly solvable model in quantum mechanics with a manifestly non self-adjoint Hamiltonian whose eigenvalues are all real. Its eigenvectors can be deduced easily, by means of suitable ladder operators. This is because the Swanson Hamiltonian is deeply connected with that of a standard quantum Harmonic oscillator, after a suitable rotation in configuration space is performed. In this paper we consider a rotated version of a different quantum system, the infinitely deep potential, and we consider some of the consequences of this rotation. In particular, we show that differences arise with respect to the Swanson model, mainly because of the technical need of working, he…

Statistics and ProbabilityPhysicsQuantum PhysicsHilbert spaceFOS: Physical sciencesCondensed Matter Physics01 natural sciences010305 fluids & plasmassymbols.namesakeTheoretical physicsLadder operatorQuantum harmonic oscillatorDeformed quantum mechanical systems Gazeau–Klauder coherent states Orthonormal bases0103 physical sciencessymbolsQuantum systemCoherent statesConfiguration space010306 general physicsHamiltonian (quantum mechanics)Quantum Physics (quant-ph)Settore MAT/07 - Fisica MatematicaEigenvalues and eigenvectors
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Duality of reduced density matrices and their eigenvalues

2014

For states of quantum systems of N particles with harmonic interactions we prove that each reduced density matrix ρ obeys a duality condition. This condition implies duality relations for the eigenvalues λk of ρ and relates a harmonic model with length scales ${{\ell }_{1}},{{\ell }_{2}},\ldots ,{{\ell }_{N}}$ with another one with inverse lengths $1/{{\ell }_{1}},1/{{\ell }_{2}},\ldots ,1/{{\ell }_{N}}$. Entanglement entropies and correlation functions inherit duality from ρ. Self-duality can only occur for noninteracting particles in an isotropic harmonic trap.

Statistics and ProbabilityPhysicsQuantum PhysicsIsotropyFOS: Physical sciencesGeneral Physics and AstronomyInverseDuality (optimization)Statistical and Nonlinear PhysicsHarmonic (mathematics)Mathematical Physics (math-ph)Quantum entanglementMathematics::Spectral Theory16. Peace & justiceModeling and SimulationReduced density matrixQuantum Physics (quant-ph)QuantumEigenvalues and eigenvectorsMathematical PhysicsMathematical physics
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Non-self-adjoint Hamiltonians with complex eigenvalues

2016

Motivated by what one observes dealing with PT-symmetric quantum mechanics, we discuss what happens if a physical system is driven by a diagonalizable Hamiltonian with not all real eigenvalues. In particular, we consider the functional structure related to systems living in finite-dimensional Hilbert spaces, and we show that certain intertwining relations can be deduced also in this case if we introduce suitable antilinear operators. We also analyze a simple model, computing the transition probabilities in the broken and in the unbroken regime.

Statistics and ProbabilityPure mathematicsDiagonalizable matrixPhysical systemFOS: Physical sciencesGeneral Physics and Astronomyintertwining relation01 natural sciencesModeling and simulationPhysics and Astronomy (all)symbols.namesakePT-quantum mechanic0103 physical sciencesMathematical Physic010306 general physicsSettore MAT/07 - Fisica Matematicaantilinear operatorMathematical PhysicsEigenvalues and eigenvectorsMathematicsQuantum Physics010308 nuclear & particles physicsHilbert spaceStatistical and Nonlinear PhysicsProbability and statisticsMathematical Physics (math-ph)Modeling and SimulationsymbolsQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)Self-adjoint operatorStatistical and Nonlinear PhysicJournal of Physics A: Mathematical and Theoretical
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Hamiltonians defined by biorthogonal sets

2017

In some recent papers, the studies on biorthogonal Riesz bases has found a renewed motivation because of their connection with pseudo-hermitian Quantum Mechanics, which deals with physical systems described by Hamiltonians which are not self-adjoint but still may have real point spectra. Also, their eigenvectors may form Riesz, not necessarily orthonormal, bases for the Hilbert space in which the model is defined. Those Riesz bases allow a decomposition of the Hamiltonian, as already discussed is some previous papers. However, in many physical models, one has to deal not with o.n. bases or with Riesz bases, but just with biorthogonal sets. Here, we consider the more general concept of $\mat…

Statistics and ProbabilityPure mathematicsReal pointbiorthogonal setquasi-basesMathematics::Classical Analysis and ODEsPhysical systemFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciencessymbols.namesake0103 physical sciencesOrthonormal basis0101 mathematics010306 general physicsMathematical PhysicsEigenvalues and eigenvectorsMathematicsQuantum PhysicsMathematics::Functional Analysis010102 general mathematicsHilbert spaceStatistical and Nonlinear PhysicsMathematical Physics (math-ph)pseudo-Hermitian HamiltonianModeling and SimulationBiorthogonal systemsymbolsQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)
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On delocalization of eigenvectors of random non-Hermitian matrices

2019

We study delocalization of null vectors and eigenvectors of random matrices with i.i.d entries. Let $A$ be an $n\times n$ random matrix with i.i.d real subgaussian entries of zero mean and unit variance. We show that with probability at least $1-e^{-\log^{2} n}$ $$ \min\limits_{I\subset[n],\,|I|= m}\|{\bf v}_I\| \geq \frac{m^{3/2}}{n^{3/2}\log^Cn}\|{\bf v}\| $$ for any real eigenvector ${\bf v}$ and any $m\in[\log^C n,n]$, where ${\bf v}_I$ denotes the restriction of ${\bf v}$ to $I$. Further, when the entries of $A$ are complex, with i.i.d real and imaginary parts, we show that with probability at least $1-e^{-\log^{2} n}$ all eigenvectors of $A$ are delocalized in the sense that $$ \min\l…

Statistics and ProbabilityZero mean010102 general mathematicsNull (mathematics)Probability (math.PR)01 natural sciencesHermitian matrixCombinatorics010104 statistics & probabilityDelocalized electronFOS: Mathematics0101 mathematicsStatistics Probability and UncertaintyRandom matrixUnit (ring theory)Mathematics - ProbabilityAnalysisEigenvalues and eigenvectorsMathematicsProbability Theory and Related Fields
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Brownian motion in trapping enclosures: Steep potential wells, bistable wells and false bistability of induced Feynman-Kac (well) potentials

2019

We investigate signatures of convergence for a sequence of diffusion processes on a line, in conservative force fields stemming from superharmonic potentials $U(x)\sim x^m$, $m=2n \geq 2$. This is paralleled by a transformation of each $m$-th diffusion generator $L = D\Delta + b(x)\nabla $, and likewise the related Fokker-Planck operator $L^*= D\Delta - \nabla [b(x)\, \cdot]$, into the affiliated Schr\"{o}dinger one $\hat{H}= - D\Delta + {\cal{V}}(x)$. Upon a proper adjustment of operator domains, the dynamics is set by semigroups $\exp(tL)$, $\exp(tL_*)$ and $\exp(-t\hat{H})$, with $t \geq 0$. The Feynman-Kac integral kernel of $\exp(-t\hat{H})$ is the major building block of the relaxatio…

Statistics and Probabilitybistable wellsBlock (permutation group theory)General Physics and AstronomyFOS: Physical sciencessteep wellsMathematics - Spectral Theorysymbols.namesakeFeynman–Kac potentialsFOS: MathematicsFeynman diagramNabla symbolSpectral Theory (math.SP)Condensed Matter - Statistical MechanicsMathematical PhysicsBrownian motionEigenvalues and eigenvectorsMathematical physicsPhysicsQuantum PhysicsSubharmonic functionStatistical Mechanics (cond-mat.stat-mech)Generator (category theory)Probability (math.PR)Statistical and Nonlinear PhysicsMathematical Physics (math-ph)trapping enclosuresboundary dataModeling and SimulationsymbolsBrownian motionQuantum Physics (quant-ph)Laplace operatorMathematics - Probability
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Tests for real and complex unit roots in vector autoregressive models

2014

The article proposes new tests for the number of real and complex unit roots in vector autoregressive models. The tests are based on the eigenvalues of the sample companion matrix. The limiting distributions of the eigenvalues converging to the unit eigenvalues turn out to be of a non-standard form and expressible in terms of Brownian motions. The tests are defined such that the null distributions related to eigenvalues +/-1 are the same. The tests for the unit eigenvalues with nonzero imaginary part are defined independently of the angular frequency. When the tests are adjusted for deterministic terms, the null distributions usually change. Critical values are tabulated via simulations. Al…

Statistics and Probabilityta112Numerical AnalysisAngular frequencyCointegrationMathematical analysisNull (mathematics)Companion matrixAutoregressive modelStatistics Probability and UncertaintyUnit (ring theory)Eigenvalues and eigenvectorsBrownian motionMathematicsJournal of Multivariate Analysis
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THE ROLE OF UNBOUNDED TIME-SCALES IN GENERATING LONG-RANGE MEMORY IN ADDITIVE MARKOVIAN PROCESSES

2013

Any additive stationary and continuous Markovian process described by a Fokker–Planck equation can also be described in terms of a Schrödinger equation with an appropriate quantum potential. By using such analogy, it has been proved that a power-law correlated stationary Markovian process can stem from a quantum potential that (i) shows an x-2 decay for large x values and (ii) whose eigenvalue spectrum admits a null eigenvalue and a continuum part of positive eigenvalues attached to it. In this paper we show that such two features are both necessary. Specifically, we show that a potential with tails decaying like x-μ with μ < 2 gives rise to a stationary Markovian process which is not p…

Stochastic processGeneral MathematicsAutocorrelationNull (mathematics)Mathematical analysisSpectrum (functional analysis)Quantum potentialstochastic processes survival probabilityGeneral Physics and AstronomyMarkov processStochastic processeSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Schrödinger equationsymbols.namesakelong range correlationsymbolsEigenvalues and eigenvectorsMathematicsFluctuation and Noise Letters
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Digital generation of multivariate wind field processes

2001

Abstract A very efficient procedure for the generation of multivariate wind velocity stochastic processes by wave superposition as well as autoregressive time series is proposed in this paper. The procedure starts by decomposing the wind velocity field into a summation of fully coherent independent vector processes using the frequency dependent eigenvectors of the Power Spectral Density matrix. It is shown that the application of the method allows to show some very interesting physical properties that allow to reduce drastically the computational effort. Moreover, using a standard finite element procedure for approximating the frequency dependent eigenvectors, the generation procedure requi…

Stochastic processMechanical EngineeringUnivariateAerospace EngineeringSpectral densityOcean EngineeringStatistical and Nonlinear PhysicsCondensed Matter PhysicsWind speedMatrix (mathematics)Superposition principleNuclear Energy and EngineeringAutoregressive modelCalculusApplied mathematicsSafety Risk Reliability and QualityEigenvalues and eigenvectorsCivil and Structural EngineeringMathematics
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Existence, nonexistence and uniqueness of positive solutions for nonlinear eigenvalue problems

2017

We study the existence of positive solutions for perturbations of the classical eigenvalue problem for the Dirichlet $p-$Laplacian. We consider three cases. In the first the perturbation is $(p-1)-$sublinear near $+\infty$, while in the second the perturbation is $(p-1)-$superlinear near $+\infty$ and in the third we do not require asymptotic condition at $+\infty$. Using variational methods together with truncation and comparison techniques, we show that for $\lambda\in (0, \widehat{\lambda}_1)$ -$\lambda>0$ is the parameter and $\widehat{\lambda}_1$ being the principal eigenvalue of $\left(-\Delta_p, W^{1, p}_0(\Omega)\right)$ -we have positive solutions, while for $\lambda\geq \widehat{\…

Sublinear functionMonotonic functionLambda01 natural sciencesOmegaDirichlet distributionsymbols.namesakeFirst eigenvalueP-LaplacianUniqueness0101 mathematicsEigenvalues and eigenvectorsMathematical physicsNonlinear regularityPhysicsApplied Mathematics010102 general mathematicsMathematical analysisVariational methodAnalysiFirst eigenvalue; Generalized picone's identity; Nonlinear maximum principle; Nonlinear regularity; P-Laplacian; Variational methods; Analysis; Applied MathematicsGeneral Medicine010101 applied mathematicsp-LaplaciansymbolsNonlinear maximum principleGeneralized picone's identityAnalysis
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