Understanding Oblique Asymptotes in Mathematical Functions

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SUMMARY

The discussion centers on determining the oblique asymptote of the function y = x + √|x|. As x approaches infinity, the function does not have an oblique asymptote at y = x, as the difference between y and x increases rather than approaches zero. The participants suggest testing this by substituting large values for x and analyzing the resulting differences. While y = x can serve as an approximation for practical applications in physics or engineering, it does not meet the strict mathematical criteria for an asymptote.

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I am trying to draw the graph of

<br /> y = x + \sqrt{|x|}<br />

Can I say that as x approaches infinity, y approaches x? That would mean that the function has an oblique asymptote at the line y=x but I'm not sure.

Thanks for any help!
 
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y=x is an asymptote if (and only if):
y-x approaches zero as x approaches infinity.

Try subtracting x from both sides of your equation, and see whether the right-hand-side expression approaches zero or not.

Alternatively, you could plug in successively larger values of x into your expression (i.e, 100, then 1000, then 10,000).
Does the difference between the value and the value of x get larger or smaller?

Eg., for x = 100:
100 + sqrt(100) = ?
This number is ____ larger than 100.
Repeat for 1000, then 10,000.
 
Thanks for the reply. Thats what I was thinking, the difference gets larger as x gets larger. But then I thought, when you have a function like x^2 + x, it behaves more and more like x^2 as x gets larger. This function behaves more like x as x gets larger, doesn't it?
 
Both statements are true, these functions "behave more like" x^2 and x, respectively. However, to be an asymptote is a more stringent requirement.

It's likely that, if encountered in a physics or engineering application, you'd be completely justified in approximating the function simply by y=x for large x.
 

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