Limit of Polynomial over Exponential Equals Zero

In summary, the conversation discusses how to prove that the limit of a polynomial of degree m divided by the exponential function of y squared approaches 0 as y approaches infinity. L'Hôpital's rule is suggested as a method to prove this, and the use of induction is also considered. The key is to ensure that the hypotheses of L'Hôpital's rule are satisfied.
  • #1
tobinator250
7
0

Homework Statement


Q(y)=a0+a1y+...+amy^m is a polynomial of degree m and I need to show that:

Lim{y->Inf} Q(y)/ey2=0





Homework Equations





The Attempt at a Solution



It seems obvious but I can't seem to be able to prove it, and don't really know where to start, any help would be much appreciated.
 
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  • #2
tobinator250 said:

Homework Statement


Q(y)=a0+a1y+...+amy^m is a polynomial of degree m and I need to show that:

Lim{y->Inf} Q(y)/ey2=0





Homework Equations





The Attempt at a Solution



It seems obvious but I can't seem to be able to prove it, and don't really know where to start, any help would be much appreciated.

Could you prove it for the monomial ##a_m y^m##? Have you learned L'Hôpital's rule yet?
 
  • #3
Oh ok, didn't think of using l'Hopitals rule. So can you just say:

Lim_{y->Inf} Q(y)/ey2 <=> lim_{y->inf} Q(m)(y)/((2y)m).ey2)

<=> Lim_{y->inf} a(m).m!/((2y)m).ey2)=0

Is that right?
 
  • #4
tobinator250 said:
Oh ok, didn't think of using l'Hopitals rule. So can you just say:

Lim_{y->Inf} Q(y)/ey2 <=> lim_{y->inf} Q(m)(y)/((2y)m).ey2)

<=> Lim_{y->inf} a(m).m!/((2y)m).ey2)=0

Is that right?

Sorry just realized the bottom part of the limit is wrong as after you've differentiated once your going to have to use the product rule after that. Could you just use induction on the degree m then, and then use L'hopitals rule to prove it for n+1?
 
  • #5
tobinator250 said:
Sorry just realized the bottom part of the limit is wrong as after you've differentiated once your going to have to use the product rule after that. Could you just use induction on the degree m then, and then use L'hopitals rule to prove it for n+1?

Sure, you could use induction if you want to be very rigorous. I would probably just be lazy and say, "applying L'Hôpital's rule ##m## times...", but induction is a more formal proof. This sort of argument should work for a monomial ##a_m y^m## or for Q(y) itself. Just make sure the hypotheses of L'Hôpital's rule are satisfied: you need to have an indeterminate form of ##0/0## or ##\infty/\infty##.
 

What is an Analysis Limit Question?

An Analysis Limit Question is a type of research question that focuses on determining the boundaries or limitations of a specific phenomenon or concept. It involves analyzing data to understand the extent to which a particular variable or factor affects the outcome of a study.

Why is it important to ask Analysis Limit Questions?

Asking Analysis Limit Questions is important because it helps to clarify the scope and validity of a study's findings. By identifying the limits of a phenomenon, researchers can better understand its true impact and make more accurate conclusions about their results.

What methods can be used to answer Analysis Limit Questions?

There are several methods that can be used to answer Analysis Limit Questions, including statistical analysis, experiments, and surveys. These methods allow researchers to collect and analyze data to determine the boundaries or limitations of a specific phenomenon.

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The appropriate sample size for an Analysis Limit Question depends on the specific research question and the type of analysis being conducted. Generally, a larger sample size is needed to accurately determine the limits of a phenomenon. However, the sample size should also be balanced with the resources and time available for the study.

What are some common challenges when conducting Analysis Limit Questions?

Some common challenges when conducting Analysis Limit Questions include identifying the most relevant variables to analyze, choosing an appropriate sample size, and determining the most effective methods for data collection and analysis. It is also important to consider potential biases and limitations in the data that may impact the results.

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