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Properties of Continuous Functions01:29

Properties of Continuous Functions

Continuous functions exhibit smooth, uninterrupted behavior, and combining them through standard operations retains this continuity. If f and g are continuous at a point a, then the functions f+g, f-g, cf (where c is a constant), fg, and fg (provided g(a)a) are also continuous at a. This allows the construction of complex functions from simpler continuous parts without losing smoothness.Polynomials, which are expressions formed by sums of powers of x with constant coefficients, are continuous...
Continuity Equation01:28

Continuity Equation

The continuity equation asserts that the mass flow rate must remain constant for a steady flow of an incompressible fluid within a confined system. This principle applies to systems where fluid passes through varying cross-sectional areas, such as nozzles, syringes, and pipes.
The mass flow rate is expressed as:
Continuity Equation01:20

Continuity Equation

The total amount of current flowing per unit cross-sectional area is called the current density. Hence, the current passing through a cross-sectional area can be written as the surface integral of the current density.
Continuity of a Function01:23

Continuity of a Function

A function is continuous at a point a if three conditions are met: the function is defined at a, the limit of the function as x approaches a exists, and this limit equals the function’s value. Mathematically, this is written asThis definition ensures the graph of the function does not exhibit any breaks, holes, or jumps at that point. Discontinuities occur when any of these conditions fail. A removable discontinuity exists when the two-sided limit exists but the function is either undefined or...
Spontaneity02:21

Spontaneity

A spontaneous process is one that occurs naturally under certain conditions. A nonspontaneous process, on the other hand, will not take place unless it is “driven” by the continual input of energy from an external source. Processes have a natural tendency to occur in one direction under a given set of conditions. Water will naturally flow downhill (spontaneous process), but uphill flow (nonspontaneous process) requires outside intervention such as the use of a pump. Iron exposed to the earth’s...
Continuous Charge Distributions01:17

Continuous Charge Distributions

Imagine a bucket of water. It contains many molecules, of the order of 1026 molecules. Thus, although it contains discrete elements (molecules) at the microscopic level, macroscopically, it can be considered continuous. Small volume elements of water, infinitesimal compared to the bulk of the bucket's volume, still contain many molecules. Under this framework, quantized matter is approximated as continuous for practical purposes.
The electric charge can also be subjected to an analogical...

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Related Experiment Video

Updated: May 31, 2026

Research and Development of High-performance Explosives
10:33

Research and Development of High-performance Explosives

Published on: February 20, 2016

Explosive percolation is continuous.

Oliver Riordan1, Lutz Warnke

  • 1Mathematical Institute, University of Oxford, 24-29 St Giles', Oxford OX1 3LB, UK. riordan@maths.ox.ac.uk

Science (New York, N.Y.)
|July 19, 2011
PubMed
Summary
This summary is machine-generated.

Explosive percolation, a rapid network growth phenomenon, was previously thought to occur in Achlioptas processes. However, this study demonstrates that these processes actually exhibit continuous phase transitions, not discontinuous ones.

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Area of Science:

  • Network Science
  • Statistical Physics
  • Complex Systems

Background:

  • Explosive percolation describes rapid macroscopic component emergence in evolving networks.
  • Achlioptas processes are key models for studying network growth dynamics.
  • Previous simulations suggested discontinuous phase transitions in Achlioptas processes.

Purpose of the Study:

  • To rigorously analyze the phase transition behavior of Achlioptas processes.
  • To determine if Achlioptas processes exhibit true explosive percolation.
  • To clarify the conditions under which discontinuous phase transitions occur in network growth models.

Main Methods:

  • Theoretical analysis of Achlioptas processes.
  • Mathematical modeling of network evolution.
  • Comparison with related network growth models.

Main Results:

  • All Achlioptas processes exhibit continuous phase transitions.
  • The phenomenon of explosive percolation is not present in standard Achlioptas processes.
  • Related models with size-dependent node sampling can show discontinuous transitions.

Conclusions:

  • Standard Achlioptas processes do not display explosive percolation.
  • The phase transitions in these network models are continuous.
  • Discontinuous transitions require modifications beyond standard Achlioptas processes, such as growing sample sizes.