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Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

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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...
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Robbers Cave04:49

Robbers Cave

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During the 1950s, the landmark Robbers Cave experiment demonstrated that when groups must compete with one another, intergroup conflict, hostility, and even violence may result. At the Oklahoman summer camp, two troops of boys—termed the Rattlers and the Eagles—took part in a week-long tournament. During this time, their negativity culminated in derogatory name-calling, fistfights, and even vandalism and destruction of property. However, this work also revealed that such tension...
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Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

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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...
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Thevinin's Theorem01:15

Thevinin's Theorem

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Thévenin's theorem plays a pivotal role in electrical circuit analysis, offering a solution to the challenges posed by variable loads within a circuit. In practical applications, it is common to encounter circuits where certain elements remain fixed while others fluctuate, often referred to as the "load." A typical household electrical outlet serves as a prime example of a variable load, as it can be connected to a variety of appliances, each with its own unique electrical...
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Multimachine Stability01:25

Multimachine Stability

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
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Zones of Protection01:16

Zones of Protection

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In power systems, the entire setup is divided into protective zones to isolate faults and protect the rest of the network. These zones include generators, transformers, buses, transmission lines, distribution lines, and motors. Each zone can be visualized as a separate room in a house, with each room protected by its own circuit breaker.
Protective zones are defined by closed dashed lines, containing one or more components. A key characteristic of these zones is the strategic placement of...
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Related Experiment Video

Updated: Jul 14, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

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Interdependent security games in a unidirectional network.

Edward C Rosenthal1, Christian Trudeau2

  • 1Department of Statistics, Operations, and Data Science, Fox School of Business, Temple University, Philadelphia, Pennsylvania, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|October 8, 2023
PubMed
Summary
This summary is machine-generated.

This study models network security, where disruptive events cause economic losses. An additive model simplifies cost reduction, leading to cooperative games and equitable cost-sharing solutions.

Keywords:
game theoryinterdependent security gamespipeline securityrisk mitigationunidirectional digital networks

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Area of Science:

  • Network security
  • Game theory
  • Operations research

Background:

  • Directed tree networks with a single source are vulnerable to disruptive events at any node.
  • Such events lead to economic losses for the affected node and its downstream components.
  • Users are incentivized to invest in upstream and on-site security to mitigate disruption probabilities.

Purpose of the Study:

  • To develop a model for minimizing expected investment and disruption costs in directed tree networks.
  • To address the limitations of multiplicative models by introducing an approximating additive model.
  • To frame the security problem as a public goods setting and explore equitable cost-sharing mechanisms.

Main Methods:

  • Development of an additive model approximating a multiplicative cost model.
  • Reduction of the network security problem to a public goods setting.
  • Application of cooperative game theory, including the Shapley value, for cost allocation.
  • Analysis of cases with identical and varying user disutilities and risk reduction.

Main Results:

  • The additive model provides a tractable approximation for cost minimization.
  • The problem is reformulated as minimizing total expected cost at each node.
  • Cooperative games are established for equitable cost sharing.
  • The Shapley value is efficiently computable for identical disutilities, analogous to the Airport Game.
  • The cooperative game is proven to be concave, ensuring a non-empty core and Shapley value inclusion.

Conclusions:

  • The additive model offers a practical approach to network security cost optimization.
  • Cooperative game theory provides a framework for fair cost distribution in network security investments.
  • The Shapley value serves as a robust and equitable solution for cost allocation in these networks.