Theoretical and Econometric Analysis of Behaviours Toward Environment.

no abstract availableEnvironmental economics;

The dog that did not bark: Anti-Americanism and the financial crisis

The financial crisis that erupted in September 2008 seemed to confirm all the worst stereotypes about the United States held abroad: that Americans are bold, greedy, and selfish to excess; that they are hypocrites, staunch defenders of the free market ready to bail out their own companies; and that the US has long been the architect and primary beneficiary of the global economic system. So the crisis had an enormous potential for deteriorating further the global image of the United States, already at an all-time high during the George W. Bush era. Yet anti-American sentiments did not surge worldwide as a result of the crisis, neither at the level of public opinion, nor at the level of actions and policy responses by foreign policy-makers. This paper explains why the dog did not bark and reawaken anti-Americanism in the process. The central argument is that this potential anti-Americanism has been mitigated by several factors, including the election of Obama, the new face of globalization, and the perception of the relative decline of US power coupled with the rise of China, which suggests that the “post-American” world may be accompanied by a “post-anti-American” world, at least in Europe

The chromatic number of almost stable Kneser hypergraphs

Let $V(n,k,s)$ be the set of $k$-subsets $S$ of $[n]$ such that for all $i,j\in S$, we have $|i-j|\geq s$ We define almost $s$-stable Kneser hypergraph $KG^r{{[n]}\choose k}_{s{\tiny{\textup{-stab}}}}^{\displaystyle\sim}$ to be the $r$-uniform hypergraph whose vertex set is $V(n,k,s)$ and whose edges are the $r$-uples of disjoint elements of $V(n,k,s)$. With the help of a $Z_p$-Tucker lemma, we prove that, for $p$ prime and for any $n\geq kp$, the chromatic number of almost 2-stable Kneser hypergraphs $KG^p {{[n]}\choose k}_{2{\tiny{\textup{-stab}}}}^{\displaystyle\sim}$ is equal to the chromatic number of the usual Kneser hypergraphs $KG^p{{[n]}\choose k}$, namely that it is equal to $\lceil\frac{n-(k-1)p}{p-1}\rceil.$ Defining $\mu(r)$ to be the number of prime divisors of $r$, counted with multiplicities, this result implies that the chromatic number of almost $2^{\mu(r)}$-stable Kneser hypergraphs $KG^r{{[n]}\choose k}_{2^{\mu(r)}{\tiny{\textup{-stab}}}}^{\displaystyle\sim}$ is equal to the chromatic number of the usual Kneser hypergraphs $KG^r{{[n]}\choose k}$ for any $n\geq kr$, namely that it is equal to $\lceil\frac{n-(k-1)r}{r-1}\rceil.

Fast semiautomatic dimensional test set and data logger

System measures and records tolerance deviations of thermal-protection ceramic tiles in less than 30 seconds. Accuracy of the machine is within 0.001 inch

Large Momentum bounds from Flow Equations

We analyse the large momentum behaviour of 4-dimensional massive euclidean Phi-4-theory using the flow equations of Wilson's renormalization group. The flow equations give access to a simple inductive proof of perturbative renormalizability. By sharpening the induction hypothesis we prove new and, as it seems, close to optimal bounds on the large momentum behaviour of the correlation functions. The bounds are related to what is generally called Weinberg's theorem.Comment: 14 page

A stochastic model for protrusion activity

In this work we approach cell migration under a large-scale assumption, so that the system reduces to a particle in motion. Unlike classical particle models, the cell displacement results from its internal activity: the cell velocity is a function of the (discrete) protrusive forces exerted by filopodia on the substrate. Cell polarisation ability is modeled in the feedback that the cell motion exerts on the protrusion rates: faster cells form preferentially protrusions in the direction of motion. By using the mathematical framework of structured population processes previously developed to study population dynamics [Fournier and M{\'e}l{\'e}ard, 2004], we introduce rigorously the mathematical model and we derive some of its fundamental properties. We perform numerical simulations on this model showing that different types of trajectories may be obtained: Brownian-like, persistent, or intermittent when the cell switches between both previous regimes. We find back the trajectories usually described in the literature for cell migration