Companion to the Practice Set · Mark-by-mark walkthroughs · SAT / AP-Feeder / ON / BC styles练习题配套答案 · 按分逐步讲解 · SAT / AP 衔接 / 安大略 / 不列颠哥伦比亚省考风格
$y$-intercept and horizontal asymptote of $f(x) = 4 \cdot 2^{x}$.求 $f(x) = 4 \cdot 2^{x}$ 的 $y$ 轴截距与水平渐近线。
Solve $9^{x + 1} = 27$ exactly.精确求解 $9^{x + 1} = 27$。
Equivalent of $\log_{5}(x) = 3$.$\log_{5}(x) = 3$ 的等价形式。
(a) Evaluate $\log_{2}(32) - \log_{2}(4)$. (b) Condense $2 \log_{3}(x) + \log_{3}(5) - \log_{3}(y)$. (c) Expand $\log_{10}\!\left(\tfrac{100 \, x^{3}}{\sqrt{y}}\right)$.(a) 求 $\log_{2}(32) - \log_{2}(4)$ 的值。(b) 合并 $2 \log_{3}(x) + \log_{3}(5) - \log_{3}(y)$。(c) 展开 $\log_{10}\!\left(\tfrac{100 \, x^{3}}{\sqrt{y}}\right)$。
(a) $3^{x} = 20$. (b) $5 \cdot 2^{x} = 90$. (c) $7^{x - 1} = 4^{x}$ with change-of-base.(a) $3^{x} = 20$。(b) $5 \cdot 2^{x} = 90$。(c) $7^{x - 1} = 4^{x}$,用换底公式。
$L = \log_{4}(50)$. (a) Change-of-base form via $\ln$ + 4-dp value. (b) Prove $\log_{b}(x^{p}) = p \log_{b}(x)$ from definition. (c) Evaluate $\log_{4}(50) - \log_{4}(2) - \log_{4}(25)$.$L = \log_{4}(50)$。(a) 用 $\ln$ 写出换底形式并取四位小数。(b) 由定义证明 $\log_{b}(x^{p}) = p \log_{b}(x)$。(c) 计算 $\log_{4}(50) - \log_{4}(2) - \log_{4}(25)$。
(a) $\log_{2}(x) + \log_{2}(x - 2) = 3$. (b) $\log_{5}(2 x + 3) - \log_{5}(x - 1) = 1$. (c) Why is checking the domain required, not optional?(a) $\log_{2}(x) + \log_{2}(x - 2) = 3$。(b) $\log_{5}(2 x + 3) - \log_{5}(x - 1) = 1$。(c) 为何验证定义域是必需的、不可省略?
$g(x) = 3 e^{2 x} - 5$. (a) HA and $y$-intercept. (b) Solve $g(x) = 16$. (c) $g^{-1}(x)$ + domain/range. (d) BC PC12 Big Idea on inverses.$g(x) = 3 e^{2 x} - 5$。(a) 水平渐近线与 $y$ 轴截距。(b) 解 $g(x) = 16$。(c) $g^{-1}(x)$ 及其定义域 / 值域。(d) BC PC12 反函数大概念。
$P(t) = P_{0} e^{0.045 t}$. (a) Balance on \$2{,}000 after 10 yr. (b) Doubling time $T$. (c) Interpret $P_{0}$ and $0.045$ via HSF-LE.B.5. (d) Continuous vs. annually-compounded after 10 yr, by how much.$P(t) = P_{0} e^{0.045 t}$。(a) \$2{,}000 经 10 年后的余额。(b) 倍增时间 $T$。(c) 用 HSF-LE.B.5 解释 $P_{0}$ 与 $0.045$。(d) 连续复利与年复利在 10 年后的余额差。
HSF-LE.B.5 directs, the constant in the exponent encodes the rate, and the multiplier out front encodes the initial value of the modeled quantity.是 $t = 0$ 时 $P$ 的值,即存入的初始本金(美元)。$0.045$ 是连续名义年利率(每年 $4.5\%$),即相对增长的恒定速率:$\tfrac{1}{P}\dfrac{d P}{d t} = 0.045$。正如 HSF-LE.B.5 所指,指数中的常数表征利率,前面的系数表征所建模量的初始值。
Town population $2.4\%$/yr, $P(2020) = 48{,}000$. (a) $P(t) = a \cdot b^{t}$. (b) $P(10)$. (c) First year $P > 75{,}000$. (d) Cite HSF-LE.A.1c.城镇人口每年增长 $2.4\%$,$P(2020) = 48{,}000$。(a) $P(t) = a \cdot b^{t}$。(b) $P(10)$。(c) 首次 $P > 75{,}000$ 的年份。(d) 引用 HSF-LE.A.1c。
HSF-LE.A.1c: "Recognize situations in which a quantity grows or decays by a constant percent rate per unit interval relative to another." Because the town grows by a constant percent ($2.4\%$) per year, not a constant amount, each year's increase is proportional to the current population, which is the defining feature of exponential (multiplicative) rather than linear (additive) growth. Linear growth would say "grows by $1{,}152$ people per year" forever; exponential says "grows by $2.4\%$ of whatever the current population is.":"识别一个量在每个单位间隔内以恒定百分率相对于另一量增长或衰减的情境。"由于城镇每年以恒定百分率($2.4\%$)增长,而非恒定数量,每年的增长量与当年人口成正比,这正是指数(乘性)增长而非线性(加性)增长的定义性特征。线性增长会说"每年增加 $1{,}152$ 人";指数增长则说"每年按当前人口的 $2.4\%$ 增长"。
I-131, half-life $8.02$ d, initial $40$ mg. (a) Half-life form. (b) Mass after 30 d. (c) Time to $5$ mg. (d) Practical domain + growth/decay. (e) One modelling assumption.I-131,半衰期 $8.02$ 天,初始 $40$ mg。(a) 半衰期形式。(b) 30 天后的质量。(c) 衰减到 $5$ mg 的时间。(d) 实际定义域 + 判别增长 / 衰减。(e) 一个建模假设。
Option A: $A(t) = 5000(1 + 0.06/12)^{12 t}$. Option B: $B(t) = 5000 + 320 t$. (a) $A(5)$, $B(5)$, larger and gap. (b) Doubling time of A. (c) HSF-LE.A.3 + first year $A > B$. (d) Situational restriction + reason to prefer B.方案 A:$A(t) = 5000(1 + 0.06/12)^{12 t}$。方案 B:$B(t) = 5000 + 320 t$。(a) $A(5)$、$B(5)$,谁更大及差额。(b) 方案 A 的倍增时间。(c) HSF-LE.A.3 + $A > B$ 的首个年份。(d) 情境限制 + 选 B 的理由。
HSF-LE.A.3: "Observe… that a quantity increasing exponentially eventually exceeds a quantity increasing… as a polynomial function." Because $A$ grows by a multiplicative factor each compounding period while $B$ grows by a fixed additive amount, $A(t)/B(t) \to \infty$ as $t \to \infty$, so $A$ must overtake $B$ at some finite $t$, no matter the initial gap. To find it, tabulate (both start at $5000$ when $t = 0$)::"观察指数增长的量最终会超过多项式增长的量。"由于 $A$ 每个计息期按乘性因子增长而 $B$ 按固定加性量增长,当 $t \to \infty$ 时 $A(t)/B(t) \to \infty$,因此无论初始差距多大,$A$ 必在某个有限 $t$ 处赶超 $B$。列表查找($t = 0$ 时两者都是 $5000$):