Growth Rate Comparison
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About This MicroSim
This MicroSim visualizes one of calculus's most important insights: not all infinities grow at the same rate. When comparing functions as x approaches infinity, some functions completely dominate others.
The dominance hierarchy is:
- Logarithmic functions (slowest growth) - ln(x), log10(x)
- Polynomial functions (medium growth) - sqrt(x), x, x^2, x^3
- Exponential functions (fastest growth) - 2^x, e^x, 10^x
This hierarchy has profound implications for evaluating limits of the form infinity/infinity or determining which term dominates in complex expressions.
Delta Moment
"At x = 10, these functions look like they're in a close race. But watch what happens as we zoom out to x = 1000... the exponential just LEAVES everyone in the dust! It's not even close!"
How to Use
- Select Functions: Use the checkboxes to enable/disable different functions for comparison
- Adjust X-Range: Drag the slider to change the viewing window (10 to 1000)
- Race to Infinity: Click "Race!" to watch the functions grow in real-time
- Toggle Y-Scale: Switch between Linear and Logarithmic y-axis to see different scales
- Ratio Mode: Compare two functions directly by viewing their ratio
Key Observations
Stage 1 (x = 1 to 10): Functions appear similar in magnitude - At x = 10: ln(10) = 2.3, x^2 = 100, e^x = 22,026
Stage 2 (x = 10 to 100): Polynomial dominates logarithmic - Polynomial powers start separating from each other
Stage 3 (x = 100 to 1000): Exponential completely dominates - e^1000 is astronomically larger than any polynomial
Embedding
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Lesson Plan
Learning Objective
Students will compare growth rates of logarithmic, polynomial, and exponential functions to predict limit behavior.
Bloom's Taxonomy Level
Evaluate (L5) - Students judge the relative growth rates and predict which function dominates in limit calculations.
Prerequisites
- Understanding of basic function families (log, polynomial, exponential)
- Familiarity with limits and infinity
- Knowledge of indeterminate forms (infinity/infinity)
Warm-Up Activity (5 minutes)
Ask students to predict: - Which is bigger at x = 10: x^2 or 2^x? - Which is bigger at x = 100: x^2 or 2^x? - At what point does 2^x "pass" x^2?
Guided Exploration (15 minutes)
- Stage 1: Small Scale
- Set x-range to 10
- Enable ln(x), x^2, and e^x
- Observe that they appear somewhat comparable
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Click "Race!" and note the starting values
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Stage 2: Medium Scale
- Increase x-range to 100
- Watch the polynomial pull ahead of logarithmic
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Note that exponential is starting to accelerate
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Stage 3: Large Scale
- Increase x-range to 1000
- Switch to logarithmic y-scale (necessary to even see all functions!)
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Observe the exponential completely dominating
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Ratio Analysis
- Enable Ratio Mode
- Compare ln(x)/x - ratio approaches 0 (x dominates)
- Compare x/e^x - ratio approaches 0 (e^x dominates)
- Compare x^2/x^3 - ratio approaches 0 (higher power dominates)
Key Questions for Discussion
- If you're evaluating lim(x->infinity) of ln(x)/x^2, what's the answer? Why?
- In L'Hopital's rule for infinity/infinity forms, why do exponentials always "win"?
- How does this help us evaluate limits like lim(x->infinity) (x^100)/(2^x)?
Independent Practice
Have students predict the limit of these ratios, then verify with the MicroSim:
- lim(x->infinity) sqrt(x)/x
- lim(x->infinity) x^2/e^x
- lim(x->infinity) ln(x)/sqrt(x)
- lim(x->infinity) 10^x/e^x
Assessment
Students demonstrate understanding by: - Correctly predicting which function dominates in various comparisons - Explaining why "infinity/infinity" is indeterminate (depends on which infinity!) - Using growth rate knowledge to evaluate limits without L'Hopital's rule - Creating their own examples of each dominance relationship
Extension: The Dominance Ladder
Challenge students to arrange these functions from slowest to fastest growth: - ln(ln(x)) - ln(x) - sqrt(x) - x - x*ln(x) - x^2 - x^3 - e^x - x! - x^x
Mathematical Background
The formal statement of dominance is:
These facts mean: - Any positive power of x eventually beats any logarithm - Any exponential eventually beats any polynomial
References
- Growth of Functions - Wikipedia - Comprehensive overview of function growth rates and Big O notation
- Khan Academy: Comparing Exponential and Polynomial Growth - Video explanation of why exponentials dominate polynomials
- Paul's Online Math Notes: L'Hopital's Rule - Applications of growth rate comparisons in limit evaluation