Unit D6: The Laplace Transform
An integral transform that turns constant-coefficient differential equations into algebra, then turns the answer back into a function of time.一种积分变换,将常系数微分方程转化为代数方程,再将代数解还原为时域函数。
partial fractions)分解。我们从定义出发建立变换表,再用拉普拉斯变换(Laplace transform)求解初值问题(IVP),通过阶跃函数和狄拉克 δ 函数(Dirac delta)处理分段与冲激激励,最后介绍卷积(convolution)。建议随时备好变换表,几乎每道题都归结为对表查找。
Definition and Existence定义与存在性
Laplace transform)将时域函数 $t$ 通过与衰减指数的积分,转换为复频率变量 $s$ 的函数。它将微分运算变为乘法,从而将线性常系数常微分方程(ODE)化为关于 $s$ 的代数方程。
The integral is improper, so $F(s)$ is defined only for those $s$ where the integral converges. We say $f$ is of exponential order if there are constants $M > 0$ and $a$ with $|f(t)| \le M e^{at}$ for all large $t$. Together with piecewise continuity on every finite interval, this guarantees existence.
该积分是反常积分,$F(s)$ 仅在积分收敛的 $s$ 值处有定义。若存在常数 $M>0$ 和 $a$,使得对所有足够大的 $t$ 有 $|f(t)|\le Me^{at}$,则称 $f$ 为指数阶(of exponential order)函数。结合在每个有限区间上的分段连续(piecewise continuous)条件,即可保证变换的存在性。
Two structural facts make the transform useful: it is linear, and bounded transforms vanish at infinity. Linearity follows immediately from linearity of the integral.
变换有两个关键性质:线性性和有界变换在无穷处趋于零。线性性直接由积分的线性性得出。
Worked Example 1.1: transform of a constant and of $e^{at}$例题 1.1:常数和 $e^{at}$ 的变换
For $f(t) = 1$ we integrate directly, valid for $s > 0$:
$$ \mathcal{L}\{1\} = \int_{0}^{\infty} e^{-st}\, dt = \left[ -\tfrac{1}{s} e^{-st} \right]_{0}^{\infty} = \frac{1}{s}. $$For $f(t) = e^{at}$ the exponentials combine, and convergence requires $s > a$:
$$ \mathcal{L}\{e^{at}\} = \int_{0}^{\infty} e^{-(s-a)t}\, dt = \frac{1}{s-a}, \qquad s > a. $$对 $f(t)=1$,直接积分($s>0$):
$$ \mathcal{L}\{1\} = \int_{0}^{\infty} e^{-st}\, dt = \left[ -\tfrac{1}{s} e^{-st} \right]_{0}^{\infty} = \frac{1}{s}. $$对 $f(t)=e^{at}$,指数合并,收敛条件 $s>a$:
$$ \mathcal{L}\{e^{at}\} = \int_{0}^{\infty} e^{-(s-a)t}\, dt = \frac{1}{s-a}, \quad s>a. $$Worked Example 1.2: transform of $t$ from first principles例题 1.2:从第一性原理求 $t$ 的变换
We compute $\mathcal{L}\{t\}$ directly from the definition rather than quoting the table, valid for $s > 0$. Integrate by parts with $u = t$ and $dv = e^{-st}\,dt$, so $du = dt$ and $v = -\tfrac{1}{s}e^{-st}$:
$$ \mathcal{L}\{t\} = \int_{0}^{\infty} t\, e^{-st}\, dt = \left[ -\frac{t}{s} e^{-st} \right]_{0}^{\infty} + \frac{1}{s}\int_{0}^{\infty} e^{-st}\, dt. $$For $s > 0$ the boundary term vanishes at both ends: at $t = 0$ the factor $t$ is zero, and as $t \to \infty$ the exponential $e^{-st}$ dominates the linear growth, so $t\,e^{-st} \to 0$. The remaining integral is $\mathcal{L}\{1\} = 1/s$, giving
$$ \mathcal{L}\{t\} = \frac{1}{s}\cdot\frac{1}{s} = \frac{1}{s^{2}}. $$This matches $n!/s^{n+1}$ with $n = 1$, and the same integration-by-parts step repeated $n$ times produces the full power rule $\mathcal{L}\{t^{n}\} = n!/s^{n+1}$.
不查表,直接由定义计算。令 $u=t$,$dv=e^{-st}dt$ 分部积分($s>0$):
$$ \mathcal{L}\{t\} = \int_{0}^{\infty} t\, e^{-st}\, dt = \left[ -\frac{t}{s} e^{-st} \right]_{0}^{\infty} + \frac{1}{s}\int_{0}^{\infty} e^{-st}\, dt = \frac{1}{s^{2}}. $$与 $n!/s^{n+1}$($n=1$)吻合;重复分部积分即得 $\mathcal{L}\{t^{n}\}=n!/s^{n+1}$。
Worked Example 1.3: a function that is not of exponential order例题 1.3:非指数阶函数的例子
The existence theorem gives a sufficient condition, not a necessary one, so it is worth seeing where it fails. Consider $f(t) = e^{t^{2}}$. For any fixed constant $a$, the ratio
$$ \frac{e^{t^{2}}}{e^{at}} = e^{t^{2} - at} \to \infty \quad\text{as } t \to \infty, $$since $t^{2} - at \to \infty$. No choice of $M$ and $a$ can satisfy $|f(t)| \le M e^{at}$ for all large $t$, so $f$ is not of exponential order. Indeed the integral $\int_{0}^{\infty} e^{-st} e^{t^{2}}\, dt$ diverges for every $s$ because the integrand $e^{t^{2}-st} \to \infty$. By contrast $f(t) = t^{100}$ is of exponential order, because any polynomial is eventually dominated by $e^{t}$, so its transform exists for $s > 0$.
存在性定理给出充分条件。考察 $f(t)=e^{t^{2}}$:对任意 $a$,$e^{t^{2}-at}\to\infty$,故 $f$ 非指数阶,变换不存在。反之,$t^{100}$ 是指数阶,其变换在 $s>0$ 存在。
Going deeper: why bounded transforms satisfy $F(s) \to 0$ as $s \to \infty$深入探讨:为何有界变换满足 $F(s)\to 0$($s\to\infty$)
Suppose $|f(t)| \le M e^{at}$. For $s > a$ we bound the transform by pulling the absolute value inside the integral:
$$ |F(s)| \le \int_{0}^{\infty} e^{-st} |f(t)|\, dt \le M \int_{0}^{\infty} e^{-(s-a)t}\, dt = \frac{M}{s-a}. $$As $s \to \infty$ the right side tends to $0$, so every transform of an exponential-order function decays to $0$. A consequence: a rational function with numerator degree at least the denominator degree (for instance a constant or a polynomial in $s$) cannot be the Laplace transform of such a function.
由 $\mathcal{L}\{\sin 5t\}=\dfrac{5}{s^{2}+25}$,第一平移定理($a=2$)将 $s$ 换为 $s-2$:
$$ \mathcal{L}\{e^{2t}\sin 5t\} = \frac{5}{(s-2)^{2}+25}. $$One more structural remark sets up everything that follows. The transform is an integral against a parameter $s$, so it inherits the good behaviour of integrals: it is linear, it respects limits under the mild hypothesis of exponential order, and it is injective on continuous functions. Injectivity is what lets us speak of the inverse transform later, and exponential order is the recurring admission ticket. Almost every theorem in this unit carries the silent assumption that the functions involved are piecewise continuous and of exponential order, which is exactly the class of inputs that arise from constant-coefficient ODEs with reasonable forcing.
Transforms of Common Functions常用函数的变换
The first frequency shift rule explains the whole table at once: multiplying $f$ by $e^{at}$ shifts its transform.
So $\mathcal{L}\{e^{at}\cos bt\}$ is just the cosine transform with $s$ replaced by $s-a$. A second tool, multiplication by $t$, corresponds to differentiating in $s$.
Worked Example 2.1: transform of $e^{2t}\sin 5t$例题 2.1:$e^{2t}\sin 5t$ 的变换
Start from $\mathcal{L}\{\sin 5t\} = \dfrac{5}{s^{2}+25}$. Apply the first shift theorem with $a = 2$, replacing $s$ by $s-2$:
$$ \mathcal{L}\{e^{2t}\sin 5t\} = \frac{5}{(s-2)^{2}+25}. $$由 $\mathcal{L}\{\sin 5t\}=\dfrac{5}{s^{2}+25}$,第一平移定理($a=2$)将 $s$ 换为 $s-2$:
$$ \mathcal{L}\{e^{2t}\sin 5t\} = \frac{5}{(s-2)^{2}+25}. $$Worked Example 2.2: transform of $t\cos 3t$例题 2.2:$t\cos 3t$ 的变换
Use multiplication by $t$ with $F(s) = \dfrac{s}{s^{2}+9}$ and $n = 1$:
$$ \mathcal{L}\{t\cos 3t\} = -\frac{d}{ds}\left( \frac{s}{s^{2}+9} \right). $$Differentiating the quotient gives
$$ \frac{d}{ds}\left( \frac{s}{s^{2}+9} \right) = \frac{(s^{2}+9) - s(2s)}{(s^{2}+9)^{2}} = \frac{9 - s^{2}}{(s^{2}+9)^{2}}, $$ $$ \mathcal{L}\{t\cos 3t\} = \frac{s^{2}-9}{(s^{2}+9)^{2}}. $$$t$ 乘法法则:$\mathcal{L}\{t\cos 3t\}=-\dfrac{d}{ds}\dfrac{s}{s^{2}+9}$。对商式求导:
$$ \mathcal{L}\{t\cos 3t\} = \frac{s^{2}-9}{(s^{2}+9)^{2}}. $$Worked Example 2.3: transform of $e^{-t}(t^{2} + \cos 2t)$例题 2.3:$e^{-t}(t^{2}+\cos 2t)$ 的变换
Linearity lets us split the bracket, then the first shift theorem with $a = -1$ acts on each piece by sending $s \mapsto s + 1$. Start from the unshifted transforms $\mathcal{L}\{t^{2}\} = 2/s^{3}$ and $\mathcal{L}\{\cos 2t\} = s/(s^{2}+4)$. Replacing $s$ by $s+1$ in each:
$$ \mathcal{L}\{e^{-t} t^{2}\} = \frac{2}{(s+1)^{3}}, \qquad \mathcal{L}\{e^{-t}\cos 2t\} = \frac{s+1}{(s+1)^{2}+4}. $$Adding the two results gives the full transform:
$$ \mathcal{L}\{e^{-t}(t^{2} + \cos 2t)\} = \frac{2}{(s+1)^{3}} + \frac{s+1}{(s+1)^{2}+4}. $$Notice the order of operations: apply linearity first to break the sum apart, then apply the shift to each transform separately. The shift acts on the whole transform of each summand, including the numerator, which is why the cosine numerator becomes $s+1$ rather than staying $s$.
线性性拆括号,再用第一平移定理($a=-1$,$s\to s+1$):
$$ \mathcal{L}\{e^{-t}(t^{2}+\cos 2t)\} = \frac{2}{(s+1)^{3}} + \frac{s+1}{(s+1)^{2}+4}. $$Going deeper: deriving the sine and cosine transforms together深入探讨:同时推导正弦和余弦变换
Rather than two separate integration-by-parts marathons, compute both at once through the complex exponential. For $s > 0$,
$$ \mathcal{L}\{e^{ibt}\} = \int_{0}^{\infty} e^{-st} e^{ibt}\, dt = \int_{0}^{\infty} e^{-(s-ib)t}\, dt = \frac{1}{s-ib}, $$valid because $|e^{-(s-ib)t}| = e^{-st} \to 0$. Rationalize by multiplying top and bottom by the conjugate $s + ib$:
$$ \frac{1}{s-ib} = \frac{s+ib}{s^{2}+b^{2}} = \frac{s}{s^{2}+b^{2}} + i\,\frac{b}{s^{2}+b^{2}}. $$Since $e^{ibt} = \cos bt + i\sin bt$ and the transform is linear, the real part is $\mathcal{L}\{\cos bt\}$ and the imaginary part is $\mathcal{L}\{\sin bt\}$. Reading off the two parts gives both table entries simultaneously:
$$ \mathcal{L}\{\cos bt\} = \frac{s}{s^{2}+b^{2}}, \qquad \mathcal{L}\{\sin bt\} = \frac{b}{s^{2}+b^{2}}. $$拆分为余弦和正弦两项($b=2$):
$$ \frac{3s+2}{s^{2}+4} = 3\cdot\frac{s}{s^{2}+4} + 1\cdot\frac{2}{s^{2}+4}. $$ $$ \mathcal{L}^{-1}\left\{\frac{3s+2}{s^{2}+4}\right\} = 3\cos 2t + \sin 2t. $$The Inverse Transform逆变换
Uniqueness justifies the phrase "the" inverse: if $f$ and $g$ are continuous on $[0,\infty)$ and have the same transform, then $f = g$ (Lerch's theorem). Repeated and complex linear factors call for two standard patterns.
Strategy for any rational $F(s) = P(s)/Q(s)$ runs in a fixed order. First confirm the degree of $P$ is strictly less than the degree of $Q$; if not, do polynomial division first, since a proper rational part is what the table can match. Next factor $Q$ completely over the reals into linear and irreducible-quadratic factors. Then allocate partial-fraction terms: one term per power of each repeated linear factor, and a linear numerator $\frac{As+B}{\cdots}$ over each irreducible quadratic. Finally match each piece to a table entry, completing the square whenever a quadratic is shifted. The cover-up method, evaluating both sides at the root of a factor, is the fastest way to pin down the constants over distinct linear factors.
Worked Example 3.1: inverse of $\dfrac{3s+2}{s^{2}+4}$例题 3.1:$\dfrac{3s+2}{s^{2}+4}$ 的逆变换
Split into a cosine piece and a sine piece:
$$ \frac{3s+2}{s^{2}+4} = 3\cdot\frac{s}{s^{2}+4} + 1\cdot\frac{2}{s^{2}+4}. $$Each term is a table entry with $b = 2$:
$$ \mathcal{L}^{-1}\left\{ \frac{3s+2}{s^{2}+4} \right\} = 3\cos 2t + \sin 2t. $$拆分为余弦和正弦两项($b=2$):
$$ \frac{3s+2}{s^{2}+4} = 3\cdot\frac{s}{s^{2}+4} + 1\cdot\frac{2}{s^{2}+4}. $$ $$ \mathcal{L}^{-1}\left\{\frac{3s+2}{s^{2}+4}\right\} = 3\cos 2t + \sin 2t. $$Worked Example 3.2: partial fractions for $\dfrac{s+7}{(s-1)(s+2)}$例题 3.2:$\dfrac{s+7}{(s-1)(s+2)}$ 的部分分式
Write $\dfrac{s+7}{(s-1)(s+2)} = \dfrac{A}{s-1} + \dfrac{B}{s+2}$. Clearing denominators gives $s+7 = A(s+2) + B(s-1)$. Set $s = 1$: $8 = 3A$, so $A = \tfrac{8}{3}$. Set $s = -2$: $5 = -3B$, so $B = -\tfrac{5}{3}$. Therefore
$$ \mathcal{L}^{-1}\left\{ \frac{s+7}{(s-1)(s+2)} \right\} = \frac{8}{3} e^{t} - \frac{5}{3} e^{-2t}. $$令 $A(s+2)+B(s-1)=s+7$。$s=1$:$A=8/3$;$s=-2$:$B=-5/3$。故
$$ f(t) = \tfrac{8}{3}e^{t} - \tfrac{5}{3}e^{-2t}. $$Worked Example 3.3: a repeated linear factor, $\dfrac{s}{(s+1)^{2}(s-2)}$例题 3.3:重线性因子,$\dfrac{s}{(s+1)^{2}(s-2)}$
A repeated factor $(s+1)^{2}$ needs two terms in the decomposition, one for each power up to the multiplicity:
$$ \frac{s}{(s+1)^{2}(s-2)} = \frac{A}{s+1} + \frac{B}{(s+1)^{2}} + \frac{C}{s-2}. $$Clear denominators: $s = A(s+1)(s-2) + B(s-2) + C(s+1)^{2}$. Set $s = -1$: $-1 = B(-3)$, so $B = \tfrac{1}{3}$. Set $s = 2$: $2 = C(9)$, so $C = \tfrac{2}{9}$. To find $A$, compare $s^{2}$ coefficients: $0 = A + C$, so $A = -\tfrac{2}{9}$. Now invert term by term, using $\mathcal{L}^{-1}\{1/(s-a)\} = e^{at}$ and $\mathcal{L}^{-1}\{1/(s-a)^{2}\} = t e^{at}$:
$$ \mathcal{L}^{-1}\left\{ \frac{s}{(s+1)^{2}(s-2)} \right\} = -\frac{2}{9} e^{-t} + \frac{1}{3} t e^{-t} + \frac{2}{9} e^{2t}. $$重因子 $(s+1)^{2}$ 需两项:$A/(s+1)+B/(s+1)^{2}+C/(s-2)$。求解得 $B=-1/3$,$C=2/9$,$A=-2/9$,故
$$ f(t) = -\tfrac{2}{9}e^{-t} - \tfrac{1}{3}te^{-t} + \tfrac{2}{9}e^{2t}. $$Going deeper: completing the square to invert an irreducible quadratic深入探讨:配方法对不可约二次分母求逆变换
When a denominator is an irreducible quadratic such as $s^{2} + 2s + 5$, do not force real partial fractions. Complete the square to expose a shifted sine or cosine. Take
$$ \frac{s+3}{s^{2}+2s+5} = \frac{s+3}{(s+1)^{2}+4}. $$Match the shift $a = -1$ and frequency $b = 2$. Rewrite the numerator in terms of $(s+1)$ so the cosine and sine patterns appear cleanly:
$$ \frac{s+3}{(s+1)^{2}+4} = \frac{(s+1)}{(s+1)^{2}+4} + \frac{2}{(s+1)^{2}+4}. $$The first piece inverts to $e^{-t}\cos 2t$ and the second, with the constant $2 = b$, to $e^{-t}\sin 2t$. Hence
$$ \mathcal{L}^{-1}\left\{ \frac{s+3}{s^{2}+2s+5} \right\} = e^{-t}\cos 2t + e^{-t}\sin 2t. $$The general moral: an irreducible quadratic always pairs with the shifted sine and cosine family, and completing the square is the bridge from the algebra to the table.
代入 $y(0)=1$,$y'(0)=0$ 取变换,整理得代数方程,部分分式后取逆变换得 $y(t)$。
Solving Initial Value Problems求解初值问题
The three step recipe is: (1) apply $\mathcal{L}$ to each term, inserting the initial values; (2) solve the resulting algebraic equation for $Y(s)$; (3) take $\mathcal{L}^{-1}$, using partial fractions as needed.
Worked Example 4.1: solve $y'' + 4y = 0$, $y(0) = 2$, $y'(0) = 0$例题 4.1:求解 $y''+4y=0$,$y(0)=2$,$y'(0)=0$
Transform every term, substituting the initial data:
$$ s^{2}Y - s(2) - 0 + 4Y = 0 \;\Longrightarrow\; (s^{2}+4)Y = 2s. $$Solve for $Y$ and invert:
$$ Y(s) = \frac{2s}{s^{2}+4}, \qquad y(t) = 2\cos 2t. $$代入初始条件取变换:$(s^{2}+4)Y=2s$,故
$$ y(t) = 2\cos 2t. $$Worked Example 4.2: a nonhomogeneous IVP, $y'' - 3y' + 2y = e^{3t}$, $y(0)=1$, $y'(0)=0$例题 4.2:非齐次初值问题,$y''-3y'+2y=e^{3t}$,$y(0)=1$,$y'(0)=0$
Transform every term. Use $\mathcal{L}\{y''\} = s^{2}Y - s y(0) - y'(0)$, $\mathcal{L}\{y'\} = sY - y(0)$, and $\mathcal{L}\{e^{3t}\} = 1/(s-3)$:
$$ \big(s^{2}Y - s - 0\big) - 3\big(sY - 1\big) + 2Y = \frac{1}{s-3}. $$Collect the $Y$ terms and the constants. The characteristic polynomial factors as $s^{2}-3s+2 = (s-1)(s-2)$:
$$ (s-1)(s-2)\,Y = s - 3 + \frac{1}{s-3} = \frac{(s-3)^{2}+1}{s-3} = \frac{s^{2}-6s+10}{s-3}. $$Hence $Y(s) = \dfrac{s^{2}-6s+10}{(s-1)(s-2)(s-3)}$. Decompose: $\dfrac{A}{s-1}+\dfrac{B}{s-2}+\dfrac{C}{s-3}$. Cover-up at $s=1$: $\dfrac{1-6+10}{(-1)(-2)} = \dfrac{5}{2}=A$. At $s=2$: $\dfrac{4-12+10}{(1)(-1)} = \dfrac{2}{-1}=-2=B$. At $s=3$: $\dfrac{9-18+10}{(2)(1)} = \dfrac{1}{2}=C$. Inverting,
$$ y(t) = \frac{5}{2} e^{t} - 2 e^{2t} + \frac{1}{2} e^{3t}. $$The terms $e^{t}$ and $e^{2t}$ are the homogeneous part fixed by the initial data, and $\tfrac{1}{2}e^{3t}$ is the particular response to the forcing, all produced in one pass.
代入 $y(0)=1$,$y'(0)=0$ 取变换,整理得代数方程,部分分式后取逆变换得 $y(t)$。
Worked Example 4.3: a first-order IVP, $y' + 2y = 6$, $y(0) = 1$例题 4.3:一阶初值问题,$y'+2y=6$,$y(0)=1$
Transform: $sY - y(0) + 2Y = 6/s$, that is $(s+2)Y = 1 + 6/s = (s+6)/s$. So
$$ Y(s) = \frac{s+6}{s(s+2)} = \frac{A}{s} + \frac{B}{s+2}. $$Cover-up at $s = 0$: $A = 6/2 = 3$. At $s = -2$: $B = 4/(-2) = -2$. Therefore
$$ y(t) = 3 - 2 e^{-2t}. $$As a check, $y(0) = 3 - 2 = 1$ and as $t \to \infty$ the solution settles to the steady state $y = 3$, the value where $y' = 0$ forces $2y = 6$.
代入 $y(0)=1$:$(s+2)Y=(s+6)/s$。部分分式:$A=3$,$B=-2$,故 $y(t)=3-2e^{-2t}$。
Going deeper: derivation of $\mathcal{L}\{y'\} = sY(s) - y(0)$深入探讨:$\mathcal{L}\{y'\}=sY(s)-y(0)$ 的推导
Apply the definition and integrate by parts with $u = e^{-st}$, $dv = y'(t)\,dt$:
$$ \mathcal{L}\{y'\} = \int_{0}^{\infty} e^{-st} y'(t)\, dt = \Big[ e^{-st} y(t) \Big]_{0}^{\infty} + s\int_{0}^{\infty} e^{-st} y(t)\, dt. $$If $y$ is of exponential order then $e^{-st}y(t) \to 0$ as $t \to \infty$ for large $s$, so the boundary term is $0 - y(0) = -y(0)$. The remaining integral is $sY(s)$, giving $\mathcal{L}\{y'\} = sY(s) - y(0)$. Iterating the rule on $y''=(y')'$ and substituting the first-derivative formula produces $\mathcal{L}\{y''\} = s^{2}Y - s\,y(0) - y'(0)$, and induction gives $\mathcal{L}\{y^{(n)}\} = s^{n}Y - s^{n-1}y(0) - \cdots - y^{(n-1)}(0)$.
$f(t)=t^{2}$,$\mathcal{L}\{t^{2}\}=2/s^{3}$。第二平移定理($c=2$):
$$ \mathcal{L}\{u_{2}(t)(t-2)^{2}\} = \frac{2e^{-2s}}{s^{3}}. $$Step Functions and Shifting阶跃函数与平移
The factor $e^{-cs}$ in the $s$ domain always signals a time delay of $c$ in the $t$ domain. To apply the forward rule, first rewrite the function so its argument reads $t - c$.
Worked Example 5.1: transform of $u_{2}(t)(t-2)^{2}$例题 5.1:$u_{2}(t)(t-2)^{2}$ 的变换
Here $f(t-2) = (t-2)^{2}$, so $f(t) = t^{2}$ with $\mathcal{L}\{t^{2}\} = 2/s^{3}$. Apply the second shift theorem with $c = 2$:
$$ \mathcal{L}\{u_{2}(t)(t-2)^{2}\} = e^{-2s}\cdot \frac{2}{s^{3}} = \frac{2 e^{-2s}}{s^{3}}. $$$f(t)=t^{2}$,$\mathcal{L}\{t^{2}\}=2/s^{3}$。第二平移定理($c=2$):
$$ \mathcal{L}\{u_{2}(t)(t-2)^{2}\} = \frac{2e^{-2s}}{s^{3}}. $$Worked Example 5.2: inverse of $\dfrac{e^{-3s}}{s^{2}+1}$例题 5.2:$\dfrac{e^{-3s}}{s^{2}+1}$ 的逆变换
The factor $e^{-3s}$ means a delay of $c = 3$. The remaining $F(s) = 1/(s^{2}+1)$ inverts to $f(t) = \sin t$. By the inverse second shift theorem we replace $t$ by $t - 3$ and gate with the step:
$$ \mathcal{L}^{-1}\left\{ \frac{e^{-3s}}{s^{2}+1} \right\} = u_{3}(t)\sin(t-3). $$$F(s)=1/(s^{2}+1)$ 逆变换为 $\sin t$;$e^{-3s}$ 表示延迟 $c=3$:
$$ \mathcal{L}^{-1}\left\{\frac{e^{-3s}}{s^{2}+1}\right\} = u_{3}(t)\sin(t-3). $$Worked Example 5.3: transform of $u_{1}(t)\, t^{2}$ (argument not yet in $t-c$ form)例题 5.3:$u_{1}(t)\,t^{2}$ 的变换(变量尚未化为 $t-c$ 形式)
The second shift theorem needs the function written as $f(t-c)$, but here the factor is $t^{2}$, not $(t-1)^{2}$. Rewrite $t = (t-1)+1$ and expand so every appearance of $t$ becomes a power of $t-1$:
$$ t^{2} = \big((t-1)+1\big)^{2} = (t-1)^{2} + 2(t-1) + 1. $$Now the gated function is $u_{1}(t)\big[(t-1)^{2} + 2(t-1) + 1\big]$, a sum of three terms each in clean $t-1$ form. With $c = 1$ and the table entries $\mathcal{L}\{t^{2}\}=2/s^{3}$, $\mathcal{L}\{t\}=1/s^{2}$, $\mathcal{L}\{1\}=1/s$, the second shift theorem multiplies each by $e^{-s}$:
$$ \mathcal{L}\{u_{1}(t)\, t^{2}\} = e^{-s}\left( \frac{2}{s^{3}} + \frac{2}{s^{2}} + \frac{1}{s} \right). $$令 $t=(t-1)+1$ 展开:$t^{2}=(t-1)^{2}+2(t-1)+1$,分别对每项用第二平移定理($c=1$):
$$ \mathcal{L}\{u_{1}(t)\,t^{2}\} = e^{-s}\left(\frac{2}{s^{3}}+\frac{2}{s^{2}}+\frac{1}{s}\right). $$Going deeper: the second form $\mathcal{L}\{u_c(t) g(t)\} = e^{-cs}\mathcal{L}\{g(t+c)\}$深入探讨:第二形式 $\mathcal{L}\{u_c(t)g(t)\}=e^{-cs}\mathcal{L}\{g(t+c)\}$
Rewriting by hand, as in Example 5.3, is the algebra behind a compact rule. Start from the definition, where the step $u_c$ cuts the lower limit to $c$:
$$ \mathcal{L}\{u_c(t) g(t)\} = \int_{c}^{\infty} e^{-st} g(t)\, dt. $$Substitute $\tau = t - c$, so $t = \tau + c$ and $dt = d\tau$, and the limits become $\tau \in [0,\infty)$:
$$ = \int_{0}^{\infty} e^{-s(\tau+c)} g(\tau + c)\, d\tau = e^{-cs}\int_{0}^{\infty} e^{-s\tau} g(\tau + c)\, d\tau = e^{-cs}\,\mathcal{L}\{g(t+c)\}. $$This packages the rewrite automatically: to transform $u_c(t) g(t)$, shift the argument forward to $g(t+c)$, transform, and multiply by $e^{-cs}$. Applying it to $g(t)=t^2$, $c=1$ reproduces Example 5.3 since $g(t+1)=(t+1)^2 = t^2+2t+1$.
$(s^{2}+1)Y=e^{-\pi s}$,故 $Y=e^{-\pi s}/(s^{2}+1)$。t 平移定理:
$$ y(t) = u_{\pi}(t)\sin(t-\pi) = -u_{\pi}(t)\sin t. $$The Dirac Delta狄拉克 δ 函数
In particular $\mathcal{L}\{\delta(t)\} = 1$, taking the limiting case $c = 0$. An impulse delivered to a system at time $c$ produces a sudden jump in the response; the delta is the right hand side that models a hammer blow or a switching spike.
Worked Example 6.1: solve $y'' + y = \delta(t-\pi)$, $y(0) = 0$, $y'(0) = 0$例题 6.1:求解 $y''+ y=\delta(t-\pi)$,$y(0)=0$,$y'(0)=0$
Transform both sides, using $\mathcal{L}\{\delta(t-\pi)\} = e^{-\pi s}$:
$$ (s^{2}+1)Y = e^{-\pi s} \;\Longrightarrow\; Y(s) = \frac{e^{-\pi s}}{s^{2}+1}. $$Since $1/(s^{2}+1)$ inverts to $\sin t$, the second shift theorem with $c = \pi$ gives
$$ y(t) = u_{\pi}(t)\sin(t-\pi) = -u_{\pi}(t)\sin t. $$The system is at rest until $t = \pi$, then the impulse sets it oscillating.
$(s^{2}+1)Y=e^{-\pi s}$,故 $Y=e^{-\pi s}/(s^{2}+1)$。t 平移定理:
$$ y(t) = u_{\pi}(t)\sin(t-\pi) = -u_{\pi}(t)\sin t. $$Going deeper: the delta as a limit of tall narrow pulses深入探讨:δ 函数作为高窄矩形脉冲的极限
Define the boxcar $d_{\varepsilon}(t-c)$ equal to $1/\varepsilon$ on $[c, c+\varepsilon]$ and $0$ elsewhere, so its total area is $1$. Its transform is
$$ \mathcal{L}\{d_{\varepsilon}(t-c)\} = \frac{1}{\varepsilon}\cdot \frac{e^{-cs} - e^{-(c+\varepsilon)s}}{s} = e^{-cs}\cdot \frac{1 - e^{-\varepsilon s}}{\varepsilon s}. $$As $\varepsilon \to 0^{+}$, the factor $(1 - e^{-\varepsilon s})/(\varepsilon s) \to 1$ (its first order Taylor expansion is $1 - \tfrac{\varepsilon s}{2} + \cdots$). Hence $\mathcal{L}\{d_{\varepsilon}(t-c)\} \to e^{-cs}$, which we adopt as the definition $\mathcal{L}\{\delta(t-c)\} = e^{-cs}$.
$(s+1)^{2}Y=3e^{-s}$,$1/(s+1)^{2}$ 逆变换为 $te^{-t}$,t 平移得
$$ y(t) = 3u_{1}(t)(t-1)e^{-(t-1)}. $$Worked Example 6.2: an impulse into a damped system, $y'' + 2y' + y = 3\delta(t-1)$, rest data例题 6.2:阻尼系统冲激响应,$y''+ 2y'+y=3\delta(t-1)$,零初始条件
With $y(0)=y'(0)=0$ and $\mathcal{L}\{\delta(t-1)\} = e^{-s}$, transform both sides:
$$ (s^{2}+2s+1)Y = 3 e^{-s} \;\Longrightarrow\; Y(s) = \frac{3 e^{-s}}{(s+1)^{2}}. $$The factor $1/(s+1)^{2}$ inverts to $t e^{-t}$ (repeated factor at $a=-1$). The $e^{-s}$ is a delay of $c=1$, so by the inverse second shift theorem we replace $t$ by $t-1$ and gate with the step:
$$ y(t) = 3\, u_{1}(t)\,(t-1)\, e^{-(t-1)}. $$Before $t=1$ the system sits at rest. The unit impulse at $t=1$ injects momentum, and the critically damped response $(t-1)e^{-(t-1)}$ rises then decays back to zero. The impulse produces a jump in $y'$, not in $y$ itself, which is why $y$ stays continuous through $t=1$.
$(s+1)^{2}Y=3e^{-s}$,$1/(s+1)^{2}$ 逆变换为 $te^{-t}$,t 平移得
$$ y(t) = 3u_{1}(t)(t-1)e^{-(t-1)}. $$Convolution卷积
Equivalently $\mathcal{L}^{-1}\{F(s)G(s)\} = (f*g)(t)$. The operation is commutative, $f*g = g*f$, which is often used to put the simpler factor inside the shifted slot. It also lets us invert products that resist partial fractions.
Convolution is more than a trick for inverting products; it is the natural language of linear time-invariant systems. If a system has impulse response $h(t)$, meaning its output when forced by $\delta(t)$, then its output for any input $g(t)$ is the convolution $h * g$. In transform language the system multiplies by the transfer function $H(s) = \mathcal{L}\{h\}$, so $Y(s) = H(s) G(s)$ and the time-domain output is the convolution of the impulse response with the input. This is why Example 7.2 produced a single formula valid for every forcing: $1/(s^{2}+1)$ is the transfer function of the undamped oscillator, and $\sin t$ is its impulse response. The convolution beside the transform product is the same statement read in two domains.
Worked Example 7.1: invert $\dfrac{1}{s^{2}(s^{2}+1)}$ by convolution例题 7.1:用卷积求 $\dfrac{1}{s^{2}(s^{2}+1)}$ 的逆变换
Write the product as $F(s)G(s)$ with $F = 1/s^{2}$ and $G = 1/(s^{2}+1)$, so $f(t) = t$ and $g(t) = \sin t$. Then
$$ \mathcal{L}^{-1}\left\{ \frac{1}{s^{2}(s^{2}+1)} \right\} = \int_{0}^{t} \tau\, \sin(t-\tau)\, d\tau. $$Integrating by parts gives
$$ \int_{0}^{t} \tau\, \sin(t-\tau)\, d\tau = t - \sin t. $$$f(t)=t$,$g(t)=\sin t$,卷积:
$$ \int_{0}^{t}\tau\sin(t-\tau)\,d\tau = t-\sin t. $$Worked Example 7.2: write the solution of $y'' + y = g(t)$, rest initial data, as a convolution例题 7.2:将 $y''+ y=g(t)$(零初始条件)的解写成卷积形式
Transforming with $y(0) = y'(0) = 0$ gives $(s^{2}+1)Y = G(s)$, so
$$ Y(s) = \frac{1}{s^{2}+1}\, G(s). $$The factor $1/(s^{2}+1)$ is the transform of $\sin t$, the impulse response. By the convolution theorem,
$$ y(t) = \int_{0}^{t} \sin(t-\tau)\, g(\tau)\, d\tau, $$a single formula valid for any forcing $g$.
$Y=G(s)/(s^{2}+1)$,冲激响应为 $\sin t$,卷积定理给出
$$ y(t) = \int_{0}^{t}\sin(t-\tau)\,g(\tau)\,d\tau. $$Worked Example 7.3: evaluate $(e^{t} * 1)(t)$ directly and check by transform例题 7.3:直接计算 $(e^{t}*1)(t)$ 并用变换验证
Take $f(t) = e^{t}$ and $g(t) = 1$. From the definition,
$$ (e^{t} * 1)(t) = \int_{0}^{t} e^{\tau}\cdot 1\, d\tau = \big[ e^{\tau} \big]_{0}^{t} = e^{t} - 1. $$Check against the convolution theorem. Here $F(s) = 1/(s-1)$ and $G(s) = 1/s$, so the product is
$$ F(s)G(s) = \frac{1}{s(s-1)} = \frac{-1}{s} + \frac{1}{s-1} = \mathcal{L}\{-1 + e^{t}\}, $$using partial fractions. Inverting gives $e^{t} - 1$, matching the direct integral. The two routes agreeing is the convolution theorem in action: a product of transforms is the transform of a convolution.
直接积分:$(e^{t}*1)(t)=\int_{0}^{t}e^{\tau}d\tau=e^{t}-1$。变换验证:$\mathcal{L}\{1/(s(s-1))\}=\mathcal{L}\{e^{t}-1\}$,两者一致。
Going deeper: proof of the convolution theorem $\mathcal{L}\{f*g\} = F(s)G(s)$深入探讨:卷积定理 $\mathcal{L}\{f*g\}=F(s)G(s)$ 的证明
Write out the transform of the convolution as a double integral over the triangular region $0 \le \tau \le t < \infty$:
$$ \mathcal{L}\{f*g\} = \int_{0}^{\infty} e^{-st} \left( \int_{0}^{t} f(\tau) g(t-\tau)\, d\tau \right) dt = \iint_{0 \le \tau \le t} e^{-st} f(\tau) g(t-\tau)\, d\tau\, dt. $$Both functions are of exponential order, so the double integral converges absolutely for large $s$ and Fubini's theorem permits swapping the order of integration. Fix $\tau$ and let $t$ range over $[\tau, \infty)$. Substitute $\sigma = t - \tau$, so $t = \sigma + \tau$, $dt = d\sigma$, and $\sigma \in [0, \infty)$:
$$ = \int_{0}^{\infty} f(\tau) \left( \int_{0}^{\infty} e^{-s(\sigma+\tau)} g(\sigma)\, d\sigma \right) d\tau = \int_{0}^{\infty} e^{-s\tau} f(\tau)\, d\tau \cdot \int_{0}^{\infty} e^{-s\sigma} g(\sigma)\, d\sigma. $$The integrals separate because $e^{-s(\sigma+\tau)} = e^{-s\tau} e^{-s\sigma}$, and the two factors are exactly $F(s)$ and $G(s)$. Hence $\mathcal{L}\{f*g\} = F(s) G(s)$. The same change of variables, applied to the inner integral alone, also proves commutativity $f*g = g*f$.
将卷积的变换展开为三角形区域 $0le aule t
Flashcards闪卡
defined where the integral converges.在积分收敛处有定义。
$\mathcal{L}\{t^{n}\} = \dfrac{n!}{s^{n+1}}$
valid for $s > a$.当 $s > a$ 时成立。
Multiplying by $e^{at}$ shifts $s$ to $s-a$.乘以 $e^{at}$ 将 $s$ 平移为 $s-a$。
where $u_{c}$ switches on at $t = c$.$u_{c}$ 在 $t = c$ 处开启。
A factor $e^{-cs}$ means a delay of $c$.因子 $e^{-cs}$ 表示延迟 $c$。
with the sifting property $\int \delta(t-c) g\, dt = g(c)$.筛选性质:$\int \delta(t-c) g\, dt = g(c)$。
$(f*g)(t) = \int_{0}^{t} f(\tau) g(t-\tau)\, d\tau$
Unit Quiz单元测验
Readiness Checklist掌握清单
Tap each item you can do without notes. 0 / 8 mastered
- State the definition of the Laplace transform and the exponential-order condition that guarantees it exists.能陈述拉普拉斯变换的定义及保证其存在的指数阶条件。
- Reproduce the transforms of $1$, $t^{n}$, $e^{at}$, $\cos bt$, and $\sin bt$ from memory.能背诵 $1$、$t^{n}$、$e^{at}$、$\cos bt$、$\sin bt$ 的变换。
- Apply the first shift theorem to transform products like $e^{at}\cos bt$.能用第一平移定理变换 $e^{at}\cos bt$ 等乘积形式。
- Invert a rational $F(s)$ using partial fractions and the standard table.能用部分分式和标准变换表对有理 $F(s)$ 求逆变换。
- Solve a second-order initial value problem end to end with the transform.能用变换法完整求解二阶初值问题。
- Transform and invert expressions involving the unit step and the factor $e^{-cs}$.能变换和逆变换含单位阶跃函数和因子 $e^{-cs}$ 的表达式。
- Solve an initial value problem with Dirac delta forcing and interpret the impulse response.能求解含 Dirac delta 激励的初值问题,并解释冲激响应的意义。
- Use the convolution theorem to invert a product and to express a forced response.能用卷积定理对乘积取逆变换,并将受迫响应写成卷积形式。