Comparing Linear, Quadratic, Polynomial, Exponential Growth - Algebra 1

  1. Which increases by multiplication: f(x)=8⋅(1.3)xf(x)=8\cdot(1.3)^x or g(x)=8x+1.3g(x)=8x+1.3?
    f(x)=8⋅(1.3)xf(x)=8\cdot(1.3)^x. Exponential form multiplies by base; linear form adds slope.
  2. What does "eventually exceeds" mean when comparing f(x)f(x) and g(x)g(x)?
    There exists NN such that for all x>Nx>N, f(x)>g(x)f(x)>g(x). Eventually exceeds means one function surpasses another for large xx.
  3. Which eventually becomes larger as x→∞x\to\infty: 0.5x20.5x^2 or 3x3^x?
    3x3^x eventually becomes larger than 0.5x20.5x^2. Exponential functions eventually outgrow quadratic functions.
  4. What is the yy-intercept of f(x)=mx+bf(x)=mx+b?
    bb. Linear functions equal their constant term bb when x=0x=0.
  5. Which grows faster for large xx: x4−xx^4-x or 1.2x1.2^x?
    1.2x1.2^x eventually grows faster than x4−xx^4-x. Exponential growth exceeds high-degree polynomials for large xx.
  6. What is the standard form of a polynomial function used for growth comparisons?
    p(x)=anxn+an−1xn−1+⋯+a0p(x)=a_nx^n+a_{n-1}x^{n-1}+\cdots+a_0 with n≥1n\ge 1. Standard polynomial form with degree nn and leading coefficient ana_n.
  7. In a table, which pattern indicates polynomial (nonlinear) rather than exponential growth?
    Differences change, and ratios are not constant. Polynomial functions have varying differences and ratios between terms.
  8. Which eventually becomes larger as x→∞x\to\infty: 100x10100x^{10} or 1.05x1.05^x?
    1.05x1.05^x eventually becomes larger than 100x10100x^{10}. Exponential dominates polynomial regardless of coefficients or degree.
  9. Which is the best general comparison: exponential vs. polynomial as x→∞x\to\infty?
    Exponential growth dominates polynomial growth for large xx. This summarizes the fundamental exponential vs polynomial comparison.
  10. Which grows faster for large xx: 10x10x or 1.001x1.001^x?
    1.001x1.001^x eventually grows faster than 10x10x. Even tiny exponential bases eventually surpass linear growth.
  11. What is the common ratio for f(x)=12⋅0.9xf(x)=12\cdot 0.9^x in a table with step size 11?
    0.90.9. Base 0.90.9 means each step multiplies by 0.90.9.
  12. If f(x)=3⋅(1.5)xf(x)=3\cdot(1.5)^x and g(x)=100x3g(x)=100x^3, what is true for large xx?
    f(x)>g(x)f(x)>g(x) for sufficiently large xx. Exponential functions eventually dominate polynomial functions.
  13. Which is exponential: f(x)=5x3f(x)=5x^3 or g(x)=5⋅3xg(x)=5\cdot 3^x?
    g(x)=5⋅3xg(x)=5\cdot 3^x. Form a⋅bxa \cdot b^x with variable in exponent indicates exponential.
  14. Which has constant ratio in a table: f(x)=7x+1f(x)=7x+1 or g(x)=3⋅2xg(x)=3\cdot 2^x?
    g(x)=3⋅2xg(x)=3\cdot 2^x has constant ratio 22. Exponential functions have constant ratios, not linear functions.
  15. What is the yy-intercept of f(x)=a⋅bxf(x)=a\cdot b^x?
    f(0)=af(0)=a. Exponential functions equal their coefficient aa when x=0x=0.
  16. What is the degree of the polynomial p(x)=7x5−3x2+1p(x)=7x^5-3x^2+1 used in comparisons?
    55. The highest power of xx determines polynomial degree.
  17. For f(x)=mx+bf(x)=mx+b, what is f(x+1)−f(x)f(x+1)-f(x)?
    mm. The slope mm is the constant difference for linear functions.
  18. Which is polynomial: f(x)=4x+2f(x)=4^x+2 or g(x)=4x2+2g(x)=4x^2+2?
    g(x)=4x2+2g(x)=4x^2+2. Variable raised to constant power indicates polynomial function.
  19. If f(2)=12f(2)=12 and f(3)=18f(3)=18 for an exponential model, what is f(3)f(2)\frac{f(3)}{f(2)}?
    1.51.5. For exponential functions, consecutive ratios equal the base.
  20. If f(0)=10f(0)=10 and f(1)=15f(1)=15, what is bb in f(x)=a⋅bxf(x)=a\cdot b^x?
    b=1.5b=1.5. The base bb equals the ratio f(1)f(0)=1510=1.5\frac{f(1)}{f(0)}=\frac{15}{10}=1.5.
  21. If f(x)=2xf(x)=2^x and g(x)=x2g(x)=x^2, what is true about f(x)−g(x)f(x)-g(x) for large xx?
    It becomes positive and keeps increasing. Exponential f(x)f(x) eventually exceeds polynomial g(x)g(x), so difference grows.
  22. What does it mean if a graph becomes steeper and steeper as xx increases?
    It suggests exponential (or faster-than-linear) growth. Increasing steepness indicates accelerating growth like exponential functions.
  23. Choose which will be larger for sufficiently large xx: f(x)=x7f(x)=x^7 or g(x)=1.01xg(x)=1.01^x.
    g(x)=1.01xg(x)=1.01^x. Even small exponential base dominates high-degree polynomial.
  24. For f(x)=a⋅bxf(x)=a\cdot b^x with a>0a>0, what is f(x+1)f(x)\frac{f(x+1)}{f(x)}?
    bb. The base bb is the constant ratio for exponential functions.
  25. Which grows faster for large xx: x2+1000x^2+1000 or 1.02x1.02^x?
    1.02x1.02^x eventually grows faster than x2+1000x^2+1000. Exponential growth dominates quadratic even with large constants.
  26. If a table shows f(0)=5f(0)=5, f(1)=9f(1)=9, f(2)=13f(2)=13, what is the growth type?
    Linear growth (difference 44). Adding 44 each step indicates linear growth with slope 44.
  27. What is the defining feature of exponential growth visible in a table of values?
    A constant ratio f(x+1)f(x)=b\frac{f(x+1)}{f(x)}=b (approximately). Exponential functions have constant ratios between consecutive terms.
  28. What is the common difference for f(x)=−3x+10f(x)= -3x+10 in a table with step size 11?
    −3-3. Slope −3-3 means each step subtracts 33.
  29. Which grows faster for large xx: 2x22x^2 or 1.1x1.1^x?
    1.1x1.1^x eventually grows faster than 2x22x^2. Exponential functions eventually outgrow all polynomial functions.
  30. Which term determines the end behavior of a polynomial p(x)=anxn+⋯p(x)=a_nx^n+\cdots for large xx?
    The leading term anxna_nx^n. The highest degree term dominates behavior for large xx values.
  31. Identify the growth type of f(x)=6⋅(0.8)xf(x)=6\cdot(0.8)^x.
    Exponential decay. Base 0.8<10.8 < 1 indicates exponential decay pattern.
  32. If a table shows f(0)=3f(0)=3, f(1)=6f(1)=6, f(2)=12f(2)=12, what is the growth type?
    Exponential growth (ratio 22). Doubling pattern indicates exponential growth with base 22.
  33. Which grows faster for large xx: x5x^5 or 1.0001x1.0001^x?
    1.0001x1.0001^x eventually grows faster than x5x^5. Exponential growth dominates polynomial growth regardless of degree.
  34. Which condition on bb gives exponential decay for f(x)=a⋅bxf(x)=a\cdot b^x with a>0a>0?
    0<b<10<b<1. Base between 00 and 11 causes exponential decay.
  35. What does it mean for a function to show exponential growth in the form f(x)=a⋅bxf(x)=a\cdot b^x?
    b>1b>1 (with a>0a>0) so outputs multiply by the same factor each step. Exponential growth multiplies by a constant factor bb at each step.
  36. Choose which will be larger for sufficiently large xx: f(x)=1000xf(x)=1000x or g(x)=1.1xg(x)=1.1^x.
    g(x)=1.1xg(x)=1.1^x. Exponential growth with base 1.11.1 eventually dominates linear growth.
  37. Which has constant first differences: f(x)=3x2f(x)=3x^2 or g(x)=2xg(x)=2^x?
    Neither; constant first differences occur for linear functions. Only linear functions have constant first differences in tables.
  38. Choose which will be larger for sufficiently large xx: f(x)=x2f(x)=x^2 or g(x)=2xg(x)=2^x.
    g(x)=2xg(x)=2^x. Exponential base 22 eventually exceeds quadratic polynomial growth.
  39. Which grows faster for large xx: 5x+75x+7 or 1.01x1.01^x?
    1.01x1.01^x eventually grows faster than 5x+75x+7. Even small exponential bases like 1.011.01 eventually dominate linear functions.
  40. If f(0)=2f(0)=2, f(1)=4f(1)=4, f(2)=8f(2)=8, what is an explicit rule f(x)=a⋅bxf(x)=a\cdot b^x?
    f(x)=2⋅2xf(x)=2\cdot 2^x. Initial value a=2a=2 and base b=2b=2 from the doubling pattern.
  41. What is the defining feature of linear growth visible in a table of values?
    A constant difference f(x+1)−f(x)=mf(x+1)-f(x)=m. Linear functions add the same amount mm between consecutive terms.
  42. What is the key CCSS.F-LE.3 comparison statement between exponential and polynomial growth?
    Exponential growth eventually exceeds any polynomial growth. This is the core principle of CCSS.F-LE.3 about exponential dominance.
  43. What is one reliable table-based method to decide if data are exponential rather than linear?
    Check for a constant ratio, not a constant difference. Constant ratios distinguish exponential from linear growth patterns.
  44. Which eventually becomes larger as x→∞x\to\infty: x3x^3 or 2x2^x?
    2x2^x eventually becomes larger than x3x^3. Exponential functions eventually dominate polynomial functions.
  45. What does it mean for a function to show linear growth in the form f(x)=mx+bf(x)=mx+b?
    It increases by a constant add-on amount for equal xx-steps. Linear functions have constant slope mm, adding the same amount each step.
  46. What is the key shape difference on a graph between exponential and linear growth?
    Exponential curves upward more and more; linear is a straight line. Exponential curves get steeper while linear graphs maintain constant slope.
  47. Identify the growth type of f(x)=6⋅(1.2)xf(x)=6\cdot(1.2)^x.
    Exponential growth. Base 1.2>11.2 > 1 indicates exponential growth pattern.
  48. What is the growth type of f(x)=x4−2x+9f(x)=x^4-2x+9?
    Polynomial growth (degree 44). Highest power term determines polynomial degree and growth rate.
  49. Which condition on bb gives exponential growth for f(x)=a⋅bxf(x)=a\cdot b^x with a>0a>0?
    b>1b>1. Base greater than 11 causes exponential growth.
  50. If f(0)=7f(0)=7 and the common ratio is 33, what is f(2)f(2) for f(x)=a⋅bxf(x)=a\cdot b^x?
    6363. With a=7a=7 and b=3b=3, we get f(2)=7⋅32=63f(2)=7 \cdot 3^2=63.
  51. What is the key shape difference on a graph between exponential and quadratic growth?
    Exponential eventually becomes steeper than any parabola. Exponential growth rate increases while quadratic growth rate is bounded.

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