Understanding the Relationship Between Gaussian Math and Graph Width

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The discussion focuses on the relationship between the Gaussian function exp(-ax^2) and the concept of graph width. One participant questions how the width is defined and its measurement, particularly between x = -1 and x = 1. Another participant challenges the assertion that a = 1/2σ^2, stating that the original function does not contain σ. The conversation highlights the need for clarity in defining "width" in the context of Gaussian functions. Understanding these relationships is crucial for accurately interpreting Gaussian graphs.
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For a gaussian of the form:

exp(-ax2)

How is a related to the width of the graph? I can see that if I compare with a normal distribution

a = 1/2σ2. Is that correct?
 
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What do you mean by "width" of the graph? Where are you measuring the "width"? Between x= -1 and x= 1 the width is e^{-a^2}. As for "a= 1/2\sigma^2", that makes no sense because there is no "\sigma" in the original function.
 

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