首页> 美国卫生研究院文献>Journal of Mathematical Neuroscience >Neural field models with transmission delays and diffusion
【2h】

Neural field models with transmission delays and diffusion

机译:具有传输延迟和扩散的神经场模型

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

We will interpret (ADDE) as problem (6) with some nonlinear perturbation G:X→Y and use a variation-of-constants formula in X to obtain results about the perturbed problem, such as normal form coefficients for local bifurcations. As G maps X into Y, we would like to embed Y in a natural way into X. A naive approach would be to use a delta-function as an embedding. However, this embedding is not bounded, so the domain of A0 would not be preserved under perturbation. This is indeed the case, as the rule for extending a function beyond its original domain, i.e. φ˙(0)=Bφ(0), is incorporated in D(A0). Hence adding a perturbation to the rule for extension changes the domain of the generator. A way out is to embed this problem into a larger space. A natural choice would be Y×X, where we have a continuous embedding ℓ:Y→Y×{0}, and we can separate the extension and translation part of A0 into Y×{0} and {0}×X respectively.
机译:我们将用一些非线性扰动G:X→Y来解释(ADDE)作为问题(6),并在X中使用常量变化公式以获得关于扰动问题的结果,例如局部分叉的正常形式系数。随着g映射到y,我们想以自然的方式将y嵌入到x中。一个天真的方法是使用Delta函数作为嵌入。但是,此嵌入不受限制,因此A0的域不会在扰动下保留。这实际上是这种情况,因为将函数扩展到其原始域之外的规则,即φ˙(0)=bφ(0),其结合在d(a0)中。因此,为扩展的规则添加了扰动,改变了生成器的域。出路是将此问题嵌入更大的空间。自然选择是y×x,在那里我们有一个连续嵌入ℓ:y→y×{0},我们可以分别将A0的扩展和转换部分分别分别分别分别分别为y×{0}和{0}×x。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号