When Does n lg n Switch from Ω to O?

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The discussion focuses on determining the values of 'a' for which n log n transitions from Ω to O in asymptotic notation. It is established that n log n satisfies O(n^1.261) and Ω(n^0.797). The conversation also highlights a useful logarithmic bound, ln x ≤ x^(1/e), which aids in understanding the relationship between logarithmic functions and polynomial bounds. Additionally, it notes that switching to a different logarithmic base, log_b n, can still be expressed in terms of the natural logarithm to find asymptotic bounds. Understanding these transitions is crucial for analyzing algorithmic complexity.
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When considering the asymptotic bounds for n lgn, for what value of a in na does n lgn satisfy O(na) and for what value does it satisfy Ω(na)?

For example n lgn = O(n1.261) but n lgn = Ω(n0.797). Can someone please tell me where for what a does Ω change to O? Also how does the answer change when you consider general logb instead of lg. Thanks!
 
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A good bound that has been found for the logarithm (in a form that might be useful to you) is the following,

##\ln x \leq x^{\frac{1}{e}}##

That of course implies,

##|x \ln x| \leq |x^{\frac{e+1}{e}}|##

Now review the mathematical definition of ##f(x)=O(g(x))##. You'll get the answer for your first question.

If you switch to ##\log_{b} n## you can still express it in terms of the natural logarithm and that will help you determine an asymptotic bound for logarithms with different bases.

Hope this helped.
 
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Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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