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Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a problem,...
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
Reduced Mass Coordinates: Isolated Two-body Problem01:12

Reduced Mass Coordinates: Isolated Two-body Problem

In classical mechanics, the two-body problem is one of the fundamental problems describing the motion of two interacting bodies under gravity or any other central force. When considering the motion of two bodies, one of the most important concepts is the reduced mass coordinates, a quantity that allows the two-body problem to be solved like a single-body problem. In these circumstances, it is assumed that a single body with reduced mass revolves around another body fixed in a position with an...
Divergence and Stokes' Theorems01:06

Divergence and Stokes' Theorems

The divergence and Stokes' theorems are a variation of Green's theorem in a higher dimension. They are also a generalization of the fundamental theorem of calculus. The divergence theorem and Stokes' theorem are in a way similar to each other; The divergence theorem relates to the dot product of a vector, while Stokes' theorem relates to the curl of a vector. Many applications in physics and engineering make use of the divergence and Stokes' theorems, enabling us to write numerous physical laws...
Region of Convergence01:17

Region of Convergence

The z-transform is a powerful mathematical tool used in the analysis of discrete-time signals and systems. It is a crucial tool in the analysis of discrete-time systems, but its convergence is limited to specific values of the complex variable z. This range of values, known as the Region of Convergence (ROC), is fundamental in determining the behavior and stability of a system or signal. The ROC defines the region in the complex plane where the z-transform converges, which can take various...
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...

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Updated: May 15, 2026

Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

On spatial coalescents with multiple mergers in two dimensions.

Benjamin Heuer1, Anja Sturm

  • 1Institute for Mathematical Stochastics, Georg-August-Universität Göttingen, Goldschmidtstr. 7, 37077 Göttingen, Germany.

Theoretical Population Biology
|December 19, 2012
PubMed
Summary

Spatial Λ-coalescents approximate genealogies in large, structured populations. In large, spatially structured populations, spatial structure and high offspring variance can be undetectable in samples, but simulations show differences for moderate sizes.

Keywords:
-coalescentCoalescentLimit theoremsSpatial Cannings modelSpatial coalescentTwo dimensional torus

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Structure Solution of the Fluorescent Protein Cerulean Using MeshAndCollect
06:42

Structure Solution of the Fluorescent Protein Cerulean Using MeshAndCollect

Published on: March 19, 2019

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Last Updated: May 15, 2026

Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

Structure Solution of the Fluorescent Protein Cerulean Using MeshAndCollect
06:42

Structure Solution of the Fluorescent Protein Cerulean Using MeshAndCollect

Published on: March 19, 2019

Area of Science:

  • Population Genetics
  • Mathematical Biology
  • Stochastic Processes

Background:

  • Investigates the genealogy of individuals from spatially structured populations with high offspring variance.
  • Considers large population sizes at discrete sites within a graph G.

Purpose of the Study:

  • To approximate the genealogy of individuals using spatial coalescents with multiple mergers (spatial Λ-coalescents).
  • To analyze the convergence of spatial Λ-coalescents to non-spatial Kingman coalescents on a 2D torus as population size increases.

Main Methods:

  • Utilizes spatial Λ-coalescents, where ancestral lines migrate and coalesce.
  • Models the spatial structure using a two-dimensional torus graph G.
  • Applies mathematical analysis and supplemental simulations to study convergence properties.

Main Results:

  • Spatial Λ-coalescents are appropriate approximations for genealogies in large, structured populations.
  • On a 2D torus, spatial Λ-coalescents converge to Kingman coalescents for individuals sampled far apart as the torus size tends to infinity.
  • This convergence implies that spatial structure and high offspring variance become less detectable in large samples.

Conclusions:

  • In large populations, spatial structure and high offspring variance can obscure genealogical signals.
  • Simulations indicate that for moderately large populations, distinct spatial structures remain evident.
  • The study provides insights into the detectability of population structure from genetic samples.