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Dimensional Analysis01:23

Dimensional Analysis

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Dimensional analysis is a powerful tool that is used in physics and engineering to understand and predict the behavior of physical systems. The basic idea behind dimensional analysis is to express physical quantities in terms of fundamental dimensions such as the mass, length, and time. Derived dimensions like the velocity, acceleration, and force are derived from the combinations of these fundamental dimensions.
Dimensional analysis allows us to analyze and compare physical quantities on a...
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Theorems of Pappus and Guldinus: Problem Solving01:12

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Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
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Thevinin's Theorem01:15

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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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Problem Solving: Dimensional Analysis01:08

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Every mathematical equation that connects separate distinct physical quantities must be dimensionally consistent, which implies it must abide by two rules. For this reason, the concept of dimension is crucial. The first rule is that an equation's expressions on either side of an equality must have the exact same dimension, i.e., quantities of the same dimension can be added or removed. The second rule stipulates that all popular mathematical functions, such as exponential, logarithmic, and...
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Parallel-axis Theorem01:06

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The parallel-axis theorem provides a convenient and quick method of finding the moment of inertia of an object about an axis parallel to the axis passing through its center of mass. Consider a thin rod as an example. There is a striking similarity between the process of finding the moment of inertia of a thin rod about an axis through its middle, where the center of mass lies, and about an axis through its end using the conventional method. In the conventional method, the concept of linear mass...
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Theorems of Pappus and Guldinus01:10

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The two theorems developed by Pappus and Guldinus are widely used in mathematics, engineering, and physics to find the surface area and volume of any body of revolution. This is done by revolving a plane curve around an axis that does not intersect the curve to find its surface area or revolving a plane area around a non-intersecting axis to calculate its volume.
For finding the surface area, consider a differential line element that generates a ring with surface area dA when revolved.
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Absolutely minimal semi-Lipschitz extensions.

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Related Experiment Video

Updated: Sep 13, 2025

Setting Limits on Supersymmetry Using Simplified Models
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ABB Theorems: Results and Limitations in Infinite Dimensions.

Aris Daniilidis1, Carlo Alberto De Bernardi2, Enrico Miglierina2

  • 1Institute of Statistics and Mathematical Methods in Economics, TU Wien, Wiedner Hauptstraße 8,E105-04, Wien, A-1040 Austria.

Journal of Optimization Theory and Applications
|August 4, 2025
PubMed
Summary

Researchers constructed a set in ℓ² space with a unique maximal element, demonstrating the Arrow-Barankin-Blackwell theorem

Keywords:
ABB theoremDensityEfficient pointPositive functional

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Area of Science:

  • Functional Analysis
  • Convex Analysis
  • Set Theory

Background:

  • The Arrow-Barankin-Blackwell theorem is crucial for understanding maximal elements in ordered spaces.
  • Infinite-dimensional spaces present unique challenges for classical theorems.
  • The properties of convex sets and cones are fundamental in optimization and analysis.

Purpose of the Study:

  • To construct a specific type of convex set in ℓ² space.
  • To investigate the conditions under which maximal elements are isolated.
  • To test the applicability of the Arrow-Barankin-Blackwell theorem in infinite dimensions.

Main Methods:

  • Construction of a weakly compact convex subset of ℓ².
  • Utilizing lattice ordering (ℓ²₊) to define maximality.
  • Analysis of supporting functionals for elements within the set.

Main Results:

  • A weakly compact convex subset of ℓ² with a nonempty interior and an isolated maximal element was successfully constructed.
  • The constructed maximal element could not be supported by any strictly positive functional.
  • This finding demonstrates a failure of the Arrow-Barankin-Blackwell theorem in this specific infinite-dimensional context.

Conclusions:

  • The example highlights the importance of the 'bounded base' assumption for cones in infinite-dimensional spaces.
  • The Arrow-Barankin-Blackwell theorem's validity is contingent on specific geometric properties of the underlying cone.
  • Under the assumption of a bounded base, maximality and strict maximality are shown to be equivalent concepts.