3,390 research outputs found
Functional Inequalities: New Perspectives and New Applications
This book is not meant to be another compendium of select inequalities, nor
does it claim to contain the latest or the slickest ways of proving them. This
project is rather an attempt at describing how most functional inequalities are
not merely the byproduct of ingenious guess work by a few wizards among us, but
are often manifestations of certain natural mathematical structures and
physical phenomena. Our main goal here is to show how this point of view leads
to "systematic" approaches for not just proving the most basic functional
inequalities, but also for understanding and improving them, and for devising
new ones - sometimes at will, and often on demand.Comment: 17 pages; contact Nassif Ghoussoub (nassif @ math.ubc.ca) for a
pre-publication pdf cop
Interval Oscillation Criteria for Second-Order Forced Functional Dynamic Equations on Time Scales
This paper is concerned with oscillation of second-order forced functional dynamic equations of the form (r(t)(xΔ(t))γ)Δ+∑i=0nqi(t)|x(δi(t))|αisgn x(δi(t))=e(t) on time scales. By using a generalized Riccati technique and integral averaging techniques, we establish new oscillation criteria which handle some cases not covered by known criteria
Classical Supersymmetric Mechanics
We analyse a supersymmetric mechanical model derived from (1+1)-dimensional
field theory with Yukawa interaction, assuming that all physical variables take
their values in a Grassmann algebra B. Utilizing the symmetries of the model we
demonstrate how for a certain class of potentials the equations of motion can
be solved completely for any B. In a second approach we suppose that the
Grassmann algebra is finitely generated, decompose the dynamical variables into
real components and devise a layer-by-layer strategy to solve the equations of
motion for arbitrary potential. We examine the possible types of motion for
both bosonic and fermionic quantities and show how symmetries relate the former
to the latter in a geometrical way. In particular, we investigate oscillatory
motion, applying results of Floquet theory, in order to elucidate the role that
energy variations of the lower order quantities play in determining the
quantities of higher order in B.Comment: 29 pages, 2 figures, submitted to Annals of Physic
Oscillation of forced impulsive differential equations with -Laplacian and nonlinearities given by Riemann-Stieltjes integrals
In this article, we study the oscillation of second order forced impulsive differential equation with -Laplacian and nonlinearities given by Riemann-Stieltjes integrals of the form
\begin{equation*}
\left( p(t)\phi _{\gamma }\left( x^{\prime }(t)\right) \right) ^{\prime}+q_{0}\left( t\right) \phi _{\gamma }\left( x(t)\right)+\int_{0}^{b}q\left( t,s\right) \phi _{\alpha \left( s\right) }\left(x(t)\right) d\zeta \left(s\right) =e(t), t\neq \tau _{k},
\end{equation*}
with impulsive conditions
\begin{equation*}
x\left( \tau _{k}^{+}\right) =\lambda _{k}~x\left( t_{k}\right), x^{\prime }\left( \tau _{k}^{+}\right) =\eta _{k}~x^{\prime }\left( \tau_{k}\right),
\end{equation*}
where \phi _{\gamma }\left( u\right) :=\left\vert u\right\vert ^{\gamma } \mbox{{\rm sgn}\,}u, is strictly increasing such that , and is the the impulsive moments sequence. Using the Riccati transformation technique, we obtain sufficient conditions for this equation to be oscillatory
High-frequency oscillations in low-dimensional conductors and semiconductor superlattices induced by current in stack direction
A narrow energy band of the electronic spectrum in some direction in
low-dimensional crystals may lead to a negative differential conductance and
N-shaped I-V curve that results in an instability of the uniform stationary
state. A well-known stable solution for such a system is a state with electric
field domain. We have found a uniform stable solution in the region of negative
differential conductance. This solution describes uniform high-frequency
voltage oscillations. Frequency of the oscillation is determined by antenna
properties of the system. The results are applicable also to semiconductor
superlattices.Comment: 8 pages, 3 figure
A note on the dependence of solutions on functional parameters for nonlinear sturm-liouville problems
We deal with the existence and the continuous dependence of solutions on functional
parameters for boundary valued problems containing the Sturm-Liouville equation.
We apply these result to prove the existence of at least one solution for a certain class of
optimal control problems
Non-intrusive and structure preserving multiscale integration of stiff ODEs, SDEs and Hamiltonian systems with hidden slow dynamics via flow averaging
We introduce a new class of integrators for stiff ODEs as well as SDEs. These
integrators are (i) {\it Multiscale}: they are based on flow averaging and so
do not fully resolve the fast variables and have a computational cost
determined by slow variables (ii) {\it Versatile}: the method is based on
averaging the flows of the given dynamical system (which may have hidden slow
and fast processes) instead of averaging the instantaneous drift of assumed
separated slow and fast processes. This bypasses the need for identifying
explicitly (or numerically) the slow or fast variables (iii) {\it
Nonintrusive}: A pre-existing numerical scheme resolving the microscopic time
scale can be used as a black box and easily turned into one of the integrators
in this paper by turning the large coefficients on over a microscopic timescale
and off during a mesoscopic timescale (iv) {\it Convergent over two scales}:
strongly over slow processes and in the sense of measures over fast ones. We
introduce the related notion of two-scale flow convergence and analyze the
convergence of these integrators under the induced topology (v) {\it Structure
preserving}: for stiff Hamiltonian systems (possibly on manifolds), they can be
made to be symplectic, time-reversible, and symmetry preserving (symmetries are
group actions that leave the system invariant) in all variables. They are
explicit and applicable to arbitrary stiff potentials (that need not be
quadratic). Their application to the Fermi-Pasta-Ulam problems shows accuracy
and stability over four orders of magnitude of time scales. For stiff Langevin
equations, they are symmetry preserving, time-reversible and Boltzmann-Gibbs
reversible, quasi-symplectic on all variables and conformally symplectic with
isotropic friction.Comment: 69 pages, 21 figure
Dynamics of biologically informed neural mass models of the brain
This book contributes to the development and analysis of computational models that help brain function to be understood. The mean activity of a brain area is mathematically modeled in such a way as to strike a balance between tractability and biological plausibility. Neural mass models (NMM) are used to describe switching between qualitatively different regimes (such as those due to pharmacological interventions, epilepsy, sleep, or context-induced state changes), and to explain resonance phenomena in a photic driving experiment. The description of varying states in an ordered sequence gives a principle scheme for the modeling of complex phenomena on multiple time scales. The NMM is matched to the photic driving experiment routinely applied in the diagnosis of such diseases as epilepsy, migraine, schizophrenia and depression. The model reproduces the clinically relevant entrainment effect and predictions are made for improving the experimental setting.Die vorliegende Arbeit stellt einen Beitrag zur Entwicklung und Analyse von
Computermodellen zum Verständnis von Hirnfunktionen dar. Es wird die
mittlere Aktivität eines Hirnareals analytisch einfach und dabei
biologisch plausibel modelliert. Auf Grundlage eines Neuronalen
Massenmodells (NMM) werden die Wechsel zwischen Oszillationsregimen (z.B.
durch pharmakologisch, epilepsie-, schlaf- oder kontextbedingte
Zustandsänderungen) als geordnete Folge beschrieben und Resonanzphänomene
in einem Photic-Driving-Experiment erklärt. Dieses NMM kann sehr komplexe
Dynamiken (z.B. Chaos) innerhalb biologisch plausibler Parameterbereiche
hervorbringen. Um das Verhalten abzuschätzen, wird das NMM als Funktion
konstanter Eingangsgrößen und charakteristischer Zeitenkonstanten
vollständig auf Bifurkationen untersucht und klassifiziert. Dies
ermöglicht die Beschreibung wechselnder Regime als geordnete Folge durch
spezifische Eingangstrajektorien. Es wird ein Prinzip vorgestellt, um
komplexe Phänomene durch Prozesse verschiedener Zeitskalen darzustellen.
Da aufgrund rhythmischer Stimuli und der intrinsischen Rhythmen von
Neuronenverbänden die Eingangsgrößen häufig periodisch sind, wird das
Verhalten des NMM als Funktion der Intensität und Frequenz einer
periodischen Stimulation mittels der zugehörigen Lyapunov-Spektren und der
Zeitreihen charakterisiert. Auf der Basis der größten Lyapunov-Exponenten
wird das NMM mit dem Photic-Driving-Experiment überein gebracht. Dieses
Experiment findet routinemäßige Anwendung in der Diagnostik verschiedener
Erkrankungen wie Epilepsie, Migräne, Schizophrenie und Depression. Durch
die Anwendung des vorgestellten NMM wird der für die Diagnostik
entscheidende Mitnahmeeffekt reproduziert und es werden Vorhersagen für
eine Verbesserung der Indikation getroffen
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