We introduce a mathematically rigorous formulation for a nonlocal interface problem with jumps and propose an asymptotically compatible finite element discretization for the weak form of the interface problem. After p...
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Recent research suggests that any set of first order linear vector ODEs can be converted to a set of specific vector ODEs adhering to what we have called “Quantum Harmonical Form (QHF)”. QHF has been developed using...
Recent research suggests that any set of first order linear vector ODEs can be converted to a set of specific vector ODEs adhering to what we have called “Quantum Harmonical Form (QHF)”. QHF has been developed using a virtual quantum multi harmonic oscillator system where mass and force constants are considered to be time variant and the Hamiltonian is defined as a conic structure over positions and momenta to conserve the Hermiticity. As described in previous works, the conversion to QHF requires the matrix coefficient of the first set of ODEs to be a normal matrix. In this paper, this limitation is circumvented using a space extension approach expanding the potential applicability of this method. Overall, conversion to QHF allows the investigation of a set of ODEs using mathematical tools available to the investigation of the physical concepts underlying quantum harmonic oscillators. The utility of QHF in the context of dynamical systems and dynamical causal modeling in behavioral and cognitive neuroscience is briefly discussed.
The understanding of biological processes, e.g. related to cardio-vascular disease and treatment, can significantly be improved by numerical simulation. In this paper, we present an approach for a multiscale simulatio...
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In this paper, we introduce a new approach for array flattening. We first establish a relationship between the general array element and a specifically chosen reference element by using unit, shift, forward and backwa...
In this paper, we introduce a new approach for array flattening. We first establish a relationship between the general array element and a specifically chosen reference element by using unit, shift, forward and backward difference operators. Then, we define an array function by multiplying the forward and backward difference operators with a single scalar variable t. This variable is a perturbating agent since the produced array is equivalent to the original array when t is 1. We define the discrete counterparts of the Taylor series and Taylor formula with remainder in the form of expansion in t powers. We also define array flatness as this array function’s flatness with respect to t. Then the use of an affine transformation via a superoperator (first degree polynomial in the array function on the function operator and the variable operator) to create a new array function makes the flattening possible. This is done by appropriately choosing the super operator’s coefficient functions. The Taylor polynomial’s reciprocal is taken as the first degree term coefficient. The flattened array is obtained by setting t=1 after the flattening in t becomes complete.
Metin Demiralp; Symposium: Recent developments in numerical schemes for Hilbert space related issues in science and engineering, AIP Conference Proceedings, Vol
Metin Demiralp; Symposium: Recent developments in numerical schemes for Hilbert space related issues in science and engineering, AIP Conference Proceedings, Vol
This work focuses on the dynamics of a system of quantum multi harmonic oscillators whose Hamiltonian is conic in positions and momenta with time variant coefficients. While it is simple, this system is useful for mod...
This work focuses on the dynamics of a system of quantum multi harmonic oscillators whose Hamiltonian is conic in positions and momenta with time variant coefficients. While it is simple, this system is useful for modeling the dynamics of a number of systems in contemporary sciences where the equations governing spatial or temporal changes are described by sets of ODEs. The dynamical causal models used readily in neuroscience can be indirectly described by these systems. In this work, we want to show that it is possible to describe these systems using quantum wave function type entities and expectations if the dynamic of the system is related to a set of ODEs.
In this paper, we derive a novel recovery type a posteriori error estimation of the Crank-Nicolson finite element method for the Cahn-Hilliard equation. To achieve this, we employ both the elliptic reconstruction tech...
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The understanding of biological processes, e.g. related to cardio-vascular disease and treatment, can significantly be improved by numerical simulation. In this paper, we present an approach for a multiscale simulatio...
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The understanding of biological processes, e.g. related to cardio-vascular disease and treatment, can significantly be improved by numerical simulation. In this paper, we present an approach for a multiscale simulation environment, applied for the prediction of in-stent re-stenos is. Our focus is on the coupling of distributed, heterogeneous hardware to take into account the different requirements of the coupled sub-systems concerning computing power. For such a concept, which is an extension of the standard multiscale computing approach, we want to apply the term Distributed Multiscale computing.
Nonlocal models allow for the description of phenomena which cannot be captured by classical partial differential equations. The availability of efficient solvers is one of the main concerns for the use of nonlocal mo...
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We present a novel representation for generalized hypergeometric functions of type p +1 F p which is in fact defined by an infinite series in nonnegative integer powers of its argument. We first construct a first orde...
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