📚 Laplace Transforms of Common Functions: tⁿ, e±ᵗ, sin t, cos t | 常见函数的拉普拉斯变换:tⁿ、e±ᵗ、sin t、cos t
In this article, we will derive and understand the Laplace transforms of the most common functions encountered in IB Mathematics HL and engineering mathematics: powers tⁿ, exponentials e±ᵗ, and trigonometric functions sin t and cos t. We will focus on the definitions, standard results, and worked examples.
本文将推导并理解 IB 数学 HL 与工程数学中最常见函数的拉普拉斯变换:幂函数 tⁿ、指数函数 e±ᵗ、三角函数 sin t 和 cos t。我们将重点讲解定义、标准结果以及典型例题。
1. Definition of the Laplace Transform | 拉普拉斯变换的定义
The Laplace transform of a function f(t), defined for t ≥ 0, is given by the integral
L{f(t)} = F(s) = ∫₀^∞ e^(−st) f(t) dt
where s is a complex variable, and the integral converges for values of s in a certain region. The original function f(t) is called the inverse Laplace transform of F(s), written as f(t) = L⁻¹{F(s)}.
拉普拉斯变换将时间域中的函数 f(t) 转换为复频率域中的函数 F(s)。对于 t ≥ 0 的函数 f(t),其拉普拉斯变换定义为上述积分,其中 s 为复变量,积分在 s 的某个收敛区域内存在。原函数 f(t) 称为 F(s) 的逆拉普拉斯变换。
2. Transform of the Constant Function f(t) = 1 | 常数函数 f(t) = 1 的变换
Although not explicitly listed in the title, the transform of a constant is essential. Set f(t) = 1, then
L{1} = ∫₀^∞ e^(−st) dt = [−e^(−st)/s]₀^∞ = 1/s, for s > 0
This result is used repeatedly when finding inverse transforms and solving differential equations.
虽然标题没有明确列出常数函数,但常数的变换是基础。设 f(t)=1,则计算结果如上。当 s>0 时积分收敛,结果为 1/s。这个结果在求逆变换和解微分方程时会反复使用。
3. Transform of f(t) = e^(at) | 指数函数 e^(at) 的变换
Consider the exponential function f(t) = e^(at), where a is a real constant. By definition,
L{e^(at)} = ∫₀^∞ e^(−st) e^(at) dt = ∫₀^∞ e^(−(s−a)t) dt
This integral converges provided s > a, giving
L{e^(at)} = 1/(s − a)
For a = 1, we get L{e^t} = 1/(s − 1); for a = −1, we get L{e^(−t)} = 1/(s + 1).
考虑指数函数 f(t)=e^(at),其中 a 为实常数。根据定义,积分简化为 ∫₀^∞ e^(−(s−a)t) dt。当且仅当 s>a 时积分收敛,结果为 1/(s−a)。特别地,当 a=1 时 L{e^t}=1/(s−1);当 a=−1 时 L{e^(−t)}=1/(s+1)。
4. Transform of sin t and cos t | 正弦函数 sin t 与余弦函数 cos t 的变换
Using Euler’s formula, e^(it) = cos t + i sin t, we can derive the transforms of sine and cosine elegantly. First,
L{e^(it)} = 1/(s − i) = (s + i)/(s² + 1)
Separating real and imaginary parts:
L{cos t} = s/(s² + 1), L{sin t} = 1/(s² + 1)
Alternatively, one may integrate by parts twice. These results are valid for s > 0.
利用欧拉公式 e^(it)=cos t+i sin t,可以优雅地推导出正弦和余弦的变换。首先计算 L{e^(it)}=1/(s−i),有理化分母后得到 (s+i)/(s²+1)。分离实部和虚部,即可得到 L{cos t}=s/(s²+1) 和 L{sin t}=1/(s²+1)。换一种方式,也可以通过两次分部积分得到相同的结果。这些结果在 s>0 时成立。
5. Transform of f(t) = t | 幂函数 t 的变换
The simplest power function is f(t) = t. Using integration by parts,
L{t} = ∫₀^∞ t e^(−st) dt = [−t e^(−st)/s]₀^∞ + (1/s)∫₀^∞ e^(−st) dt
The boundary term vanishes at infinity for s > 0, and at t = 0 it is zero. Therefore,
L{t} = 1/s × 1/s = 1/s²
So L{t} = 1/s² for s > 0.
最简单的幂函数是 f(t)=t。使用分部积分:边界项在无穷远处为 0(当 s>0 时),在 t=0 处也为 0。剩下的积分恰好是 L{1}=1/s,因此 L{t}=1/s²。这个结果很重要,因为它是推导 tⁿ 变换的基础。
6. General Formula for L{tⁿ} | tⁿ 的通用公式
Applying integration by parts recursively to f(t) = tⁿ, the structure emerges:
L{tⁿ} = n! / s^(n+1), s > 0
Set n = 1 gives 1!/s² = 1/s². Set n = 2: L{t²} = 2!/s³ = 2/s³. Set n = 3: L{t³} = 3!/s⁴ = 6/s⁴. Notice the factorial pattern.
对 f(t)=tⁿ 反复使用分部积分,可以发现规律。通用公式为 L{tⁿ}=n!/s^(n+1),其中 s>0。验证一下:n=1 时得到 1!/s²=1/s²;n=2 时得到 2!/s³=2/s³;n=3 时得到 6/s⁴。可见阶乘模式非常清晰。
7. Linearity of the Laplace Transform | 拉普拉斯变换的线性性质
The Laplace transform is a linear operator. If L{f(t)} = F(s) and L{g(t)} = G(s), then for any constants a and b,
L{a f(t) + b g(t)} = a F(s) + b G(s)
This property allows us to combine the transforms derived above without redoing integration.
拉普拉斯变换是线性算子。若 L{f(t)}=F(s),L{g(t)}=G(s),则对于任意常数 a、b,有 L{a f(t)+b g(t)}=aF(s)+bG(s)。这个性质使我们无需重新积分即可组合已经推导出的变换结果。
8. Worked Example 1: Linear Combination | 例 1:线性组合
Find L{3t² − 2e^(−t) + 4 sin t}.
L{3t²} = 3 × (2!/s³) = 6/s³
L{−2e^(−t)} = −2 × (1/(s+1))
L{4 sin t} = 4 × (1/(s²+1))
Combining the three results, the final expression is
F(s) = 6/s³ − 2/(s+1) + 4/(s²+1)
求 L{3t²−2e^(−t)+4 sin t}。分别计算每一项:L{3t²}=6/s³,L{−2e^(−t)}=−2/(s+1),L{4 sin t}=4/(s²+1)。根据线性性质相加,得到最终结果如上。
9. Worked Example 2: Solving a Differential Equation | 例 2:求解微分方程
Solve y” − y = e^(−t), with y(0) = 0 and y'(0) = 1.
Let L{y(t)} = Y(s). Then L{y’} = sY(s) − y(0) = sY(s), and L{y”} = s²Y(s) − s y(0) − y'(0) = s²Y(s) − 1. Also L{e^(−t)} = 1/(s+1).
Substitute into the equation:
(s²Y − 1) − Y = 1/(s+1) ⇒ (s² − 1)Y = 1 + 1/(s+1)
Recognize s²−1 = (s−1)(s+1), and 1 + 1/(s+1) = (s+2)/(s+1). Thus
Y(s) = (s+2)/[(s−1)(s+1)²]
Using partial fractions, one can find the inverse transform, but the main point here is to demonstrate how the standard Laplace transforms of e^(−t), t, and constants are applied.
设 L{y(t)}=Y(s)。利用微分性质,L{y’}=sY(s)−y(0)=sY(s),L{y”}=s²Y(s)−s y(0)−y'(0)=s²Y(s)−1。代入微分方程,整理得到代数方程。因式分解并化简,得到 Y(s) 的表达式。通过部分分式可以进一步求逆变换,但这里的主要目的是展示如何使用 e^(−t) 等标准变换来求解微分方程。
10. Summary Table | 常用拉普拉斯变换表
| f(t) | F(s) = L{f(t)} |
| 1 | 1/s |
| t | 1/s² |
| tⁿ (n positive integer) | n! / s^(n+1) |
| e^(at) | 1/(s−a) |
| e^(−t) | 1/(s+1) |
| sin t | 1/(s²+1) |
| cos t | s/(s²+1) |
The table above summarizes all standard transforms discussed in this article. They form the building blocks for solving linear differential equations and for analyzing control systems.
上表总结了本文讨论的所有标准变换。它们是求解线性微分方程和分析控制系统的基础构件。
11. Common Mistakes and Tips | 常见错误与学习建议
Students often make the following mistakes:
学生常犯以下错误:
-
Forgetting the initial conditions when applying L{y’} = sY(s) − y(0). Always write them explicitly.
应用 L{y’}=sY(s)−y(0) 时忘记初值条件。务必显式写出 y(0) 和 y'(0)。
-
Using L{e^(−t)} = 1/(s−1) with wrong sign. Remember that e^(−t) gives 1/(s+1).
误将 L{e^(−t)} 写作 1/(s−1)。请记住 e^(−t) 对应的分母为 s+1。
-
Confusing the transforms of sin t and cos t. The sine transform has numerator 1, while the cosine transform has numerator s.
混淆 sin t 与 cos t 的变换。正弦变换的分子为 1,而余弦变换的分子为 s。
-
Forgetting the domain condition s > a. The Laplace transform is only defined when the integral converges.
忘记收敛条件 s>a。只有当积分收敛时拉普拉斯变换才有意义。
12. Conclusion | 总结
This article has derived and summarized the Laplace transforms of the most common functions: tⁿ, e^(at), e^(−t), sin t and cos t. Together with the linearity property, these transforms provide a powerful tool for solving differential equations and for engineering analysis.
本文推导并总结了最常见函数的拉普拉斯变换:tⁿ、e^(at)、e^(−t)、sin t 和 cos t。结合线性性质,这些变换为求解微分方程和工程分析提供了强有力的工具。
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