Related Experiment Video
Updated: Mar 29, 2026

05:12
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
Published on: January 16, 2019
12.0K
Threshold Digraphs
Brian Cloteaux1, M Drew LaMar2, Elizabeth Moseman1
1National Institute of Standards and Technology, Gaithersburg, MD 20899.
Summary
This study defines threshold digraphs based on unique degree sequences. We present equivalent characterizations of these digraphs, leading to a concise proof of the Fulkerson-Chen theorem for general digraphs.
Area of Science:
- Graph theory
- Discrete mathematics
- Combinatorics
Background:
- Threshold digraphs are defined by unique vertex labeled realizations of their degree sequences.
- Understanding these unique properties is crucial for graph theory research.
Purpose of the Study:
- To present and demonstrate the equivalence of several characterizations for threshold digraphs and their degree sequences.
- To provide a new, simplified proof of the Fulkerson-Chen theorem.
Main Methods:
- Characterization of threshold digraphs.
- Analysis of degree sequences.
- Proof techniques in graph theory.
Main Results:
- Several equivalent characterizations of threshold digraphs and their degree sequences were established.
- A novel and concise proof of the Fulkerson-Chen theorem was derived.
Conclusions:
- The established characterizations offer a deeper understanding of threshold digraphs.
- The new proof simplifies and validates the Fulkerson-Chen theorem for general digraphs.
Related Concept Videos
Graphs of Functions
473
Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
473
Types of Limits II
250
When observing how a curve behaves near a specific point along the horizontal axis, there are cases where the curve’s height increases or decreases without limit as the position draws closer to that point. The curve does not settle at any particular value; instead, the values grow more extreme—upward or downward—the nearer they get. No defined value exists exactly at that location, yet the surrounding behavior becomes more dramatic, indicating a sharp change in direction.The...
250
Bar Graph
23.8K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
23.8K
Graphical Representation of Inequalities
378
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
378
Time-Series Graph
5.6K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
5.6K
Survival Curves
894
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
894

