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In Exercises \(11-16,\) which function dominates as \(x \rightarrow \infty ?\) $$10 e^{0.1 x} \text { or } 5000 x^{2}$$

Short Answer

Expert verified
The function \(10e^{0.1x}\) dominates as \(x \to \infty\).

Step by step solution

01

Understand the Dominance Concept

To determine which function dominates as \(x \to \infty\), we need to see which function grows faster as \(x\) becomes very large. The function that increases more rapidly dominates the other.
02

Compare Exponential and Polynomial Functions

Exponential functions generally grow much faster than polynomial functions as \(x\) approaches infinity. Given functions are \(10e^{0.1x}\) and \(5000x^2\). We know \(e^{0.1x}\) (an exponential function) grows faster than \(x^2\) (a polynomial function).
03

Analyze Leading Terms

Examine the leading terms: \(e^{0.1x}\) and \(x^2\). Among these, \(e^{0.1x}\) is dominant because any positive exponential function increases much faster than any polynomial function as \(x \to \infty\).
04

Conclude About Dominance

Therefore, \(10e^{0.1x}\) will eventually be much larger than \(5000x^2\) as \(x\) becomes very large. Thus, \(10e^{0.1x}\) dominates the function \(5000x^2\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Exponential Growth
Exponential growth describes a process where a quantity increases at a rate proportional to its current value. For example, when population size, investments, or even certain functions increase exponentially, they do so at an ever-accelerating pace. A key characteristic of exponential functions, such as the one given by the formula \(e^{0.1x}\), is their rapid growth as \(x\) becomes large.

Mathematical functions with an exponential component increase much quicker than those with a polynomial component as \(x \rightarrow \infty\). This property means that exponential growth often overpowers polynomial or linear growth types when \(x\) becomes sufficiently large.

In our example with \(10e^{0.1x}\), the base \(e\) raised to the power of \(0.1x\) grows rapidly. This characteristic forms the basis for why such functions dominate other types that may initially have larger values or steeper linear growth upon initial observation.
Polynomial Functions
Polynomial functions are mathematical expressions involving a sum of powers in one or more variables multiplied by coefficients. A general polynomial function in one variable \(x\) is given by:

\[ a_n x^n + a_{n-1} x^{n-1} + \ldots + a_1 x + a_0 \]

where \(n\) is a non-negative integer and \(a_n, a_{n-1}, \ldots, a_0\) are coefficients. In the case of \(5000x^2\), we have a simple second-degree polynomial (quadratic) with a leading coefficient of 5000.

Polynomial growth tends to be predictable and less explosive compared to exponential growth. Polynomials with a higher degree grow quicker than lower-degree ones when \(x\) is large but still lag behind exponential functions.

For large values of \(x\), exponential functions will often exceed polynomial ones despite their initially slow start. This is why, in the long run, even a function like \(10e^{0.1x}\) will eclipse \(5000x^2\).
Limit Comparison
Limit comparison is a helpful mathematical tool to see how two functions behave in relation to each other as \(x\) approaches infinity. By analyzing the limit of the ratio of two functions, we can determine which function "dominates" or grows faster.

For the functions \(10e^{0.1x}\) and \(5000x^2\), consider the limit:

\[ \lim_{x \to \infty} \frac{10e^{0.1x}}{5000x^2} \]

When this limit is computed, since \(e^{0.1x}\) grows much faster than \(x^2\), the limit becomes infinite. This result tells us that the numerator grows so much faster than the denominator that the ratio itself becomes infinitely large, confirming the dominance of the exponential function.

Understanding the principle of using limits for comparison helps clearly illustrate the substantial difference in growth rates of various functions, affirming mathematical predictions regarding function dominance.

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Most popular questions from this chapter

For a boat to float in a tidal bay, the water must be at least 2.5 meters deep. The depth of water around the boat, \(d(t),\) in meters, where \(t\) is measured in hours since midnight, is $$ d(t)=5+4.6 \sin (0.5 t) $$ (a) What is the period of the tides in hours? (b) If the boat leaves the bay at midday, what is the latest time it can return before the water becomes too shallow?

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