How do you know when to use L'hospital's rule twice?

Answer 1

You typically use L'Hôpital's Rule twice when applying it once doesn't yield a determinate form, such as 0/0 or ∞/∞, and the resulting limit still doesn't provide a definitive answer after the first application. If applying L'Hôpital's Rule once leads to another indeterminate form, then applying it again might help resolve the limit.

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Answer 2
As soon as you try substitution and see you're in the form #0/0# or #oo/oo#, you may use l'hospitals. Let's try an example!
#L = lim_(x->0) (e^x- x - 1)/x^2#
Try substitution on this and you will get #0/0#.
#L = lim_(x->0) (e^x - 1)/(2x)#
Now try substitution again to get #L = (e^0 - 1)/(2(0)) = 0/0#. So we may indeed apply l'hospitals once more.
#L = lim_(x-> 0) (e^x)/2#
Now we can evaluate directly and see that the limit is #1/2#.

However there will be times when you may not use l'hospitals more than once. Take the following.

#L = lim_(x->0) (e^x - 1)/x^2#
Try substitution and it'll yield #0/0#.
#L = lim_(x->0) e^x/(2x)#
Now try substitution and you will get #1/0#, which is undefined, therefore the limit DNE. Recall that l'hospitals may only be used when you're of the form #0/0# or #oo/oo#.

Hopefully this helps!

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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