¿Qué pintan un motor y una botella en el cálculo integral? Curso corto de didáctica

Se pretende crear un marco de resolución de problemas que sea motivador para los alumnos del último año de Bachillerato o del primer año de estudios en la Universidad, y para ello se presentan cuatro problemas reales, cuya solución requiere establecer el concepto de integral definida, y uno histórico, que fue propuesto y resuelto por Arquímedes. Asimismo, en el desarrollo del curso se verá la importancia del uso de herramientas didácticas, tales como el generador de volúmenes de revolución, que se construirá en el propio curso, y el ordenador, cuyo uso será absolutamente necesario para resolver los problemas planteados. En suma, además de promover adaptaciones curriculares adecuadas, se fijan estos tres objetivos fundamentales: Cómo se crea un marco de resolución de problemas y cómo se integran herramientas didácticas apropiadas.

El aprendizaje del concepto de integral

El propósito de este artículo es presentar una propuesta didáctica de la integral definida para la educación secundaria obligatoria y bachillerato a través de unas secuencias de aprendizaje que ayuden al estudiante a captar las ideas fundamentales del cálculo integral, del concepto de integral y del proceso de integración.

Para qué tantas hipótesis en el criterio de la integral

Se repasa el planteo tradicional del criterio de la integral para la convergencia de series (con las hipótesis de que la función en cuestión sea continua, positiva y decreciente, y la conclusión de que la serie y la integral impropia convergen ambas o divergen ambas). Se muestran ejemplos en los que fallan una o más de las hipótesis y la conclusión del criterio falla. Se demuestra que son innecesarias las hipótesis de continuidad y positividad, y finalmente que basta con una condición aún más débil que la de que la función sea decreciente. Los resultados se aplican tanto a la equivalencia entre la convergencia de la serie y la convergencia de la integral impropia como a la fórmula para la cota del error en las sumas parciales cuando la serie converge.

Modelling meso-scale diffusion processes in stochastic fluid bio-membranes

The space–time dynamics of rigid inhomogeneities (inclusions) free to move in a randomly fluctuating fluid bio-membrane is derived and numerically simulated as a function of the membrane shape changes. Both vertically placed (embedded) inclusions and horizontally placed (surface) inclusions are considered. The energetics of the membrane, as a two-dimensional (2D) meso-scale continuum sheet, is described by the Canham–Helfrich Hamiltonian, with the membrane height function treated as a stochastic process. The diffusion parameter of this process acts as the link coupling the membrane shape fluctuations to the kinematics of the inclusions. The latter is described via Ito stochastic differential equation. In addition to stochastic forces, the inclusions also experience membrane-induced deterministic forces. Our aim is to simulate the diffusion-driven aggregation of inclusions and show how the external inclusions arrive at the sites of the embedded inclusions. The model has potential use in such emerging fields as designing a targeted drug delivery system.

Multigrid for American option pricing with stochastic volatility

The paper describes an implicit finite difference approach to the pricing of American options on assets with a stochastic volatility. A multigrid procedure is described for the fast iterative solution of the discrete linear complementarity problems that result. The accuracy and performance of this approach is improved considerably by a strike-price related analytic transformation of asset prices and adaptive time-stepping.

Stochastic monotonicity and duality for continuous time Markov chains with general q-Matrix

The key problems in discussing stochastic monotonicity and duality for continuous time Markov chains are to give the criteria for existence and uniqueness and to construct the associated monotone processes in terms of their infinitesimal q -matrices. In their recent paper, Chen and Zhang [6] discussed these problems under the condition that the given q-matrix Q is conservative. The aim of this paper is to generalize their results to a more general case, i.e., the given q-matrix Q is not necessarily conservative. New problems arise 'in removing the conservative assumption. The existence and uniqueness criteria for this general case are given in this paper. Another important problem, the construction of all stochastically monotone Q-processes, is also considered.

Stochastic comparability and dual q-functions

In this paper we discuss the relationship and characterization of stochastic comparability, duality, and Feller–Reuter–Riley transition functions which are closely linked with each other for continuous time Markov chains. A necessary and sufficient condition for two Feller minimal transition functions to be stochastically comparable is given in terms of their density q-matrices only. Moreover, a necessary and sufficient condition under which a transition function is a dual for some stochastically monotone q-function is given in terms of, again, its density q-matrix. Finally, for a class of q-matrices, the necessary and sufficient condition for a transition function to be a Feller–Reuter–Riley transition function is also given.

An improved result of exponential stability of stochastic semilinear evolution equations

Sufficient conditions for the exponential stability of a class ofnonlinear, non-autonomous stochastic differential equations in infinitedimensions are studied. The analysis consists of introducing a suitableapproximating solution systems and using a limiting argument to pass onstability of strong solutions to mild ones. As a consequence, the classicalcriteriaof stability in A. Ichikawa [8] are improved and extended to cover a class ofnon-autonomous stochastic evolution equations.Two examples are investigated to illustrate our theory.

Moment decay rates of solutions of stochastic differential equations

The objective of this paper is to investigate the p-ίh moment asymptotic stability decay rates for certain finite-dimensional Itό stochastic differential equations. Motivated by some practical examples, the point of our analysis is a special consideration of general decay speeds, which contain as a special case the usual exponential or polynomial type one, to meet various situations. Sufficient conditions for stochastic differential equations (with variable delays or not) are obtained to ensure their asymptotic properties. Several examples are studied to illustrate our theory.