Laplace Transform Comprehensive Notes

Definition of the Laplace Transform

The Laplace Transform is a powerful mathematical tool designed to convert differential or integral equations from the time domain (t)(t) into algebraic equations in the complex frequency domain (ss domain). For any real-valued function f(t)f(t) defined for t>0, its Laplace Transform, denoted as Lf(t)=F(s)\mathcal{L}{f(t)}=F(s), is given by the integral definition: F(s)=0estf(t)dtF(s)=\displaystyle\int_{0}^{\infty} e^{-st}\,f(t)\,dt. In this definition, ss represents a complex variable, expressed as s=σ+jωs = \sigma + j\omega.

For the Laplace Transform of f(t)f(t) to exist, certain conditions are considered sufficient. Firstly, f(t)f(t) must be continuous or piecewise continuous across every finite sub-interval of (0,)(0,\infty), allowing for a finite number of jump discontinuities within any finite interval. Secondly, f(t)f(t) must be of exponential order; this means there exist constants M>0 and \alpha>0 such that f(t)Meαtfor alltT\mid f(t) \mid \leq Me^{\alpha t}\,\text{for all}\,t \geq T for some TT. This condition is crucial for ensuring the convergence of the integral. A practical test derived from the exponential order condition states that if limtf(t)eαt\displaystyle\lim_{t\to\infty}f(t)e^{-\alpha t} is finite, then Lf(t)\mathcal{L}{f(t)} exists.

Basic Laplace Transforms

These fundamental transforms serve as essential building blocks for obtaining the Laplace transforms of more complex functions. The basic transforms include: L1=1s\mathcal{L}{1}=\dfrac{1}{s} (for s>0), Leat=1sa\mathcal{L}{e^{at}}=\dfrac{1}{s-a} (for s>a), Lsinat=as2+a2\mathcal{L}{\sin at}=\dfrac{a}{s^{2}+a^{2}} (for s>0), and Lcosat=ss2+a2\mathcal{L}{\cos at}=\dfrac{s}{s^{2}+a^{2}} (for s>0). Additionally, the transforms for hyperbolic functions are given by Lsinhat=as2a2\mathcal{L}{\sinh at}=\dfrac{a}{s^{2}-a^{2}} and Lcoshat=ss2a2\mathcal{L}{\cosh at}=\dfrac{s}{s^{2}-a^{2}} (both for s>\mid a \mid), which are derived using their exponential definitions.

For power functions, the Laplace Transform is expressed using the Gamma function as Ltn=n!sn+1\mathcal{L}{t^{n}}=\dfrac{n!}{s^{n+1}} for nN0n\in\mathbb{N}\cup{0} and s>0. A proof sketch for Ltn=n!sn+1\mathcal{L}{t^{n}}=\dfrac{n!}{s^{n+1}} involves substituting x=stx=st into the integral definition, which means dt=dxsdt=\dfrac{dx}{s}. The integral then becomes <em>0ex(xs)ndxs=1sn+1</em>0exxndx\displaystyle\int<em>{0}^{\infty} e^{-x}\left(\dfrac{x}{s}\right)^{n}\,\dfrac{dx}{s} = \dfrac{1}{s^{n+1}}\displaystyle\int</em>{0}^{\infty} e^{-x}x^{n}\,dx. The integral term is the definition of the Gamma function, Γ(n+1)\Gamma(n+1), which simplifies to n!n! for integer values of nn.

Properties of the Laplace Transform

Various properties of the Laplace Transform significantly simplify the process of solving differential equations by transforming them into the ss-domain and then finding their inverse transforms.

Linearity

The Linearity property states that the Laplace transform of a linear combination of functions is equivalent to the same linear combination of their individual Laplace transforms: Laf<em>1(t)±bf</em>2(t)=aF<em>1(s)±bF</em>2(s)\mathcal{L}{af<em>{1}(t)\pm bf</em>{2}(t)}=aF<em>{1}(s)\pm bF</em>{2}(s). This property is critical for decomposing and solving complex functions.

Change of Scale

The Change of Scale property states that if Lf(t)=F(s)\mathcal{L}{f(t)}=F(s), then Lf(at)=1aF(sa)\mathcal{L}{f(at)}=\dfrac{1}{a}F\left(\dfrac{s}{a}\right). This property illustrates how scaling the time variable in the time domain corresponds to both scaling and multiplication in the ss-domain. For example, if we know that Lcost=ss2+1\mathcal{L}{\cos t} = \frac{s}{s^2+1}, then applying this property, Lcos(2t)=12s/2(s/2)2+1=ss2+4\mathcal{L}{\cos(2t)} = \frac{1}{2} \frac{s/2}{(s/2)^2+1} = \frac{s}{s^2+4}.

First Shifting Theorem (Multiplication by Exponential)

This theorem indicates that multiplying a function by an exponential term in the time domain results in a shift of the ss variable in the Laplace domain: Leatf(t)=F(sa)\mathcal{L}{e^{at}f(t)}=F(s-a). As an illustration, given that Lsin4t=4s2+16\mathcal{L}{\sin 4t}=\dfrac{4}{s^{2}+16}, then Le2tsin4t=4(s2)2+16\mathcal{L}{e^{2t}\sin 4t}=\dfrac{4}{(s-2)^{2}+16}.

Second Shifting Theorem (Unit–Step)

The Second Shifting Theorem is particularly useful for handling time-delayed or piecewise functions. If Lf(t)=F(s)\mathcal{L}{f(t)}=F(s), then the Laplace transform of f(ta)U(ta)f(t-a)U(t-a) is given by Lf(ta)U(ta)=easF(s)\mathcal{L}{f(t-a)U(t-a)}=e^{-as}F(s). Here, U(ta)U(t-a) is the Heaviside unit step function, which effectively turns on f(ta)f(t-a) at t=at=a. This theorem highlights that a time delay of 'a' in the time domain corresponds to multiplication by ease^{-as} in the ss-domain. For example, to find L(t2)2U(t2)\mathcal{L}{(t-2)^2U(t-2)}, we identify a=2a=2 and f(t)=t2f(t)=t^2. Since Lt2=2!s2+1=2s3\mathcal{L}{t^2} = \frac{2!}{s^{2+1}} = \frac{2}{s^3}, then L(t2)2U(t2)=e2s2s3\mathcal{L}{(t-2)^2U(t-2)} = e^{-2s} \frac{2}{s^3}.

Initial Value Theorem

The Initial Value Theorem provides a method to determine the initial value of a function (as t0+t\to0^{+}) directly from its Laplace transform without requiring the inverse transform. The theorem states lim<em>t0+f(t)=lim</em>ssF(s)\displaystyle\lim<em>{t\to0^{+}}f(t)=\lim</em>{s\to\infty}sF(s). This is valid provided that sF(s)sF(s) approaches a finite limit as ss\to\infty.

Final Value Theorem

The Final Value Theorem allows for the determination of the steady-state value of a function (as tt\to\infty) from its Laplace transform: lim<em>tf(t)=lim</em>s0sF(s)\displaystyle\lim<em>{t\to\infty}f(t)=\lim</em>{s\to0}sF(s). It is important to note that this theorem is only applicable if all poles of sF(s)sF(s) have negative real parts (meaning they lie in the left half of the complex plane), excluding the possibility of a simple pole at the origin.

Unit Step (Heaviside) Function U(ta)U(t-a)

The unit step function, also known as the Heaviside function, is a fundamental discontinuous function. Its value is zero for arguments less than zero and one for arguments greater than or equal to zero. It is commonly denoted as U(ta)U(t-a) or H(ta)H(t-a) and is formally defined as:
U(ta)={0,amp;tlt;a 1,amp;taU(t-a) = \begin{cases} 0, &amp; t &lt; a \ 1, &amp; t \geq a \end{cases} This function is crucial for modeling signals that switch on or off at a specific time t=at=a. For instance, it can represent a voltage suddenly applied to a circuit at a given time or a force abruptly beginning to act on a system. The Laplace transform of a simple unit step function starting at t=at=a is LU(ta)=eass\mathcal{L}{U(t-a)}=\dfrac{e^{-as}}{s}, for s>0. This transform is derived directly from the integral definition: <em>0estU(ta)dt=</em>aest1dt=[ests]a=0(eass)=eass\displaystyle\int<em>{0}^{\infty} e^{-st}\,U(t-a)\,dt = \displaystyle\int</em>{a}^{\infty} e^{-st}\,1\,dt = \left[-\dfrac{e^{-st}}{s}\right]_{a}^{\infty} = 0 - \left(-\dfrac{e^{-as}}{s}\right) = \dfrac{e^{-as}}{s}.