Curved Asymptotes: Is the Definition Extended Beyond Straight Lines?

  • Context: Undergrad 
  • Thread starter Thread starter Mentallic
  • Start date Start date
Click For Summary
SUMMARY

The discussion confirms that the definition of an asymptote can extend beyond straight lines, particularly in the context of asymptotic analysis in computer science. The example provided, y=x^2+\frac{1}{x}, demonstrates that as x approaches ±∞, the function approaches the asymptote y=x^2. This concept is crucial in evaluating the performance of algorithms, where terms that become negligible at large scales are considered asymptotically equivalent.

PREREQUISITES
  • Understanding of asymptotic analysis in mathematics
  • Familiarity with polynomial functions and their behavior at infinity
  • Basic knowledge of algorithm complexity and performance evaluation
  • Experience with mathematical notation and limits
NEXT STEPS
  • Research the concept of asymptotic notation, including Big O, Big Θ, and Big Ω
  • Study polynomial growth rates and their implications in algorithm analysis
  • Explore examples of asymptotic equivalence in algorithm performance
  • Learn about the application of asymptotes in calculus and graph behavior
USEFUL FOR

Mathematicians, computer scientists, and software engineers interested in algorithm analysis and performance optimization will benefit from this discussion.

Mentallic
Homework Helper
Messages
3,802
Reaction score
95
Does the definition of an asymptote extend beyond the straight lines?

In an assignment I stated that for the graph y=x^2+\frac{1}{x} there is an asymptote of y=x^2 for x approaching \pm \infty. However, my teacher says that she doesn't believe it to be considered an asymptote.

So was I right or wrong to make this statement?
 
Physics news on Phys.org
Your example is the sort of thing commonly seen in asymptotic analysis.

In computer science you see this a lot. For example if you have 1 program that takes n^2 operations to compute, and another program that takes about n^2 + n operations to compute, then they are considered asymptotically equivalent because for large n, the n^2 term dominates and the +n is basically irrelevant. eg: if n=1000, then the first program takes 1,000,000 operations whereas the second program takes 1,001,000 operations - the runtimes differ by 1/10th of 1 percent.
 
Last edited:

Similar threads

  • · Replies 4 ·
Replies
4
Views
5K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 12 ·
Replies
12
Views
3K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
11
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K