Speaker: Stefan Hohenegger, Senior Researcher
Abstract: In this talk I introduce basic concepts in information theory and apply them to epidemiology and population dynamics: I start by reformulating simple evolution models in terms of probability distributions. This allows me to construct the Fisher information, which I interpret as the metric of a one-dimensional differentiable manifold. For systems that can be effectively described by a single degree of freedom, I show that their time evolution is fully captured by this metric. In this way, I extract universal features across seemingly very different models. This further motivates a reorganisation of the dynamics around zeroes of the Fisher metric, corresponding to extrema of the probability distribution. Concretely, I propose a simple form of the metric for which I analytically solve the dynamics of the system that well approximates the time evolution of various established models in epidemiology and population dynamics, thus providing a unifying framework.
Location: [url=https://clients.mapsindoors.com/sdu/573f26e4bc1f571b08094312/details/19fef68999464586965ec676]The DIAS Meetingroom Syd (V22-503a-2)[/url]
You can also [url=https://syddanskuni.zoom.us/j/68803047878#success]join via Zoom[/url] (passcode: 060379).
The event is open to all.
Abstract: In this talk I introduce basic concepts in information theory and apply them to epidemiology and population dynamics: I start by reformulating simple evolution models in terms of probability distributions. This allows me to construct the Fisher information, which I interpret as the metric of a one-dimensional differentiable manifold. For systems that can be effectively described by a single degree of freedom, I show that their time evolution is fully captured by this metric. In this way, I extract universal features across seemingly very different models. This further motivates a reorganisation of the dynamics around zeroes of the Fisher metric, corresponding to extrema of the probability distribution. Concretely, I propose a simple form of the metric for which I analytically solve the dynamics of the system that well approximates the time evolution of various established models in epidemiology and population dynamics, thus providing a unifying framework.
Location: [url=https://clients.mapsindoors.com/sdu/573f26e4bc1f571b08094312/details/19fef68999464586965ec676]The DIAS Meetingroom Syd (V22-503a-2)[/url]
You can also [url=https://syddanskuni.zoom.us/j/68803047878#success]join via Zoom[/url] (passcode: 060379).
The event is open to all.
- Organizer: Quantum Field Theory Center
- Address: Fioniavej 34, 5230 Odense M
- Contact Email: damiapaciarinim@qtc.sdu.dk
- Download slides from the talk: https://www.sdu.dk/-/media/files/forskning/quantum-field-theory-centre/friday-journal-club/InformationTheory_Hoenegger.pdf
- Add to your calendar: https://eom.sdu.dk:443/events/ical/3b99a5f8-9cb5-4204-985a-402bd2ab1109