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Ignition Learning — Activity Sheet

Exponential functions

Mathematics · Year 11

Name: ______________________Date: ____________

An exponential function has the form y = a(b)ˣ, where a is the starting value and b is the growth or decay factor. When b is greater than 1, the function models growth — values increase, getting faster over time. When b is between 0 and 1, the function models decay — values decrease, slowing down over time as they approach (but never quite reach) zero.

Example

A population of bacteria starting at 100 and doubling every hour is modelled by P(t) = 100(2)ᵗ, where t is hours elapsed — after 3 hours, P(3) = 100(2)³ = 800 bacteria.

Key terms

Exponential growth:
Repeated multiplication by a factor greater than 1, causing accelerating increase.
Exponential decay:
Repeated multiplication by a factor between 0 and 1, causing slowing decrease.
Growth/decay factor:
The base (b) a starting value is repeatedly multiplied by.

Questions

  1. 1. An exponential function has the form:

    • y = a(b)ˣ
    • y = ax + b
    • y = ax²
    • y = a + x
  2. 2. When b is greater than 1, the function models:

    • Growth
    • Decay only
    • No change at all
    • A straight line
  3. 3. When b is between 0 and 1, the function models:

    • Decay
    • Growth only
    • No change at all
    • A straight line
  4. 4. In y = a(b)ˣ, "a" represents:

    • The starting value
    • The growth factor only
    • The final answer, always
    • A type of punctuation
  5. 5. If P(t) = 100(2)ᵗ, the starting value is:

    • 100
    • 2
    • 0
    • t
  6. 6. Exponential decay values approach:

    • Zero, but never quite reach it
    • Infinity, immediately
    • A negative number always
    • Nothing in particular
  7. 7. Exponential growth causes values to increase:

    • Getting faster over time
    • At a constant, unchanging rate
    • Getting slower over time
    • Only once, then stopping
  8. 8. If P(t) = 100(2)ᵗ, what is P(3)?

    • 800
    • 600
    • 300
    • 200
  9. 9. If a population starts at 50 and doubles every year, modelled as P(t) = 50(2)ᵗ, what is P(2)?

    • 200
    • 100
    • 150
    • 250
  10. 10. A car worth $20,000 depreciating at 10% per year could be modelled with a decay factor of:

    • 0.9
    • 1.1
    • 0.1
    • 10
  11. 11. If V(t) = 20000(0.9)ᵗ, what is V(1), rounded to the nearest dollar?

    • $18,000
    • $20,000
    • $2,000
    • $22,000
  12. 12. Why does exponential growth eventually outpace linear growth, even if linear growth starts faster?

    • Exponential growth compounds on itself, so its rate of increase keeps accelerating
    • Linear growth always eventually overtakes exponential growth
    • Exponential and linear growth are mathematically identical over time
    • Exponential growth always starts and stays the fastest from the very beginning
  13. 13. A decay factor closer to 0 (e.g. 0.5 vs 0.9) causes values to decrease:

    • More quickly
    • More slowly
    • At exactly the same rate regardless
    • Not at all
  14. 14. If bacteria triple every hour starting from 10, modelled as P(t) = 10(3)ᵗ, what is P(2)?

    • 90
    • 60
    • 30
    • 100
  15. 15. Why might exponential decay never reach exactly zero, even after a very long time?

    • Each step multiplies the remaining value by a fraction, which shrinks it but never eliminates it completely
    • Decay always reaches exactly zero after a fixed, predictable number of steps
    • Exponential decay is mathematically identical to subtraction
    • Multiplying by a fraction always eventually produces a negative number
  16. 16. A savings account earning compound interest and a population doubling each generation are both examples of:

    • Exponential growth
    • Exponential decay
    • Linear growth only
    • No mathematical pattern at all
  17. 17. If a substance decays with V(t) = 500(0.8)ᵗ, approximately what is V(3)?

    • 256
    • 400
    • 320
    • 160
  18. 18. Why is understanding exponential functions important for interpreting real-world claims about growth (e.g. "cases doubled every week")?

    • Exponential trends can escalate dramatically and unintuitively compared to linear expectations
    • Doubling claims always describe linear, not exponential, growth
    • Exponential trends always slow down immediately after being reported
    • Real-world growth claims never follow exponential patterns
  19. 19. Why might comparing two investment options — one with linear growth and one with exponential growth — favour the exponential option over a long time period?

    • Compounding growth accelerates over time, eventually producing a much larger total than steady linear increases
    • Linear growth always produces a larger total over any period of time
    • Both growth types always produce identical totals eventually
    • Exponential growth only applies to very short time periods
  20. 20. If a car valued at $30,000 depreciates by 15% each year, modelled as V(t) = 30000(0.85)ᵗ, approximately what is V(2)?

    • $21,675
    • $25,500
    • $27,000
    • $19,500
  21. 21. Why might a graph of exponential growth appear to rise slowly at first before rising very steeply later?

    • Each multiplication builds on an already-larger value, so the rate of increase itself keeps growing
    • Exponential graphs always rise at a perfectly constant rate throughout
    • Exponential growth is identical to a straight line on a graph
    • The steepness of an exponential graph never changes over time

Answer key (parent copy)

  1. 1. y = a(b)ˣ
  2. 2. Growth
  3. 3. Decay
  4. 4. The starting value
  5. 5. 100
  6. 6. Zero, but never quite reach it
  7. 7. Getting faster over time
  8. 8. 800
  9. 9. 200
  10. 10. 0.9
  11. 11. $18,000
  12. 12. Exponential growth compounds on itself, so its rate of increase keeps accelerating
  13. 13. More quickly
  14. 14. 90
  15. 15. Each step multiplies the remaining value by a fraction, which shrinks it but never eliminates it completely
  16. 16. Exponential growth
  17. 17. 256
  18. 18. Exponential trends can escalate dramatically and unintuitively compared to linear expectations
  19. 19. Compounding growth accelerates over time, eventually producing a much larger total than steady linear increases
  20. 20. $21,675
  21. 21. Each multiplication builds on an already-larger value, so the rate of increase itself keeps growing