Compare growth rates of functions as x approaches infinity
Growth rates determine how functions behave as input becomes very large. This analysis is critical in computer science (algorithm efficiency), physics (asymptotic behavior), and economics (long-term trends). The hierarchy is: constant < log < polynomial < exponential < factorial.
To compare growth rates, compute the limit of f(x)/g(x) as x->inf. If the ratio -> 0, g dominates f. If -> inf, f dominates g. If -> constant, they grow at the same rate. The hierarchy is absolute: exponential functions always outgrow polynomial functions eventually.
Higher degree dominates: x^4 grows faster than x^2. Ratio x^4/x^2 = x^2 -> inf. Same degree: ratio = constant.
Exponential always wins: 2^x / x^100 -> inf. Regardless of polynomial degree, exponential eventually dominates.
Any positive power of x dominates: x^0.0001 / ln(x) -> inf. Polynomial grows faster than any log.
f=O(g): f <= c*g for large x. f=Theta(g): same growth. f=o(g): f/g -> 0 (f dominated).
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