Laplace Transform integrates or connects time-based challenges with frequency based answers. It is beneficial for engineering, physics, and applied mathematics as it reduces the complexity of solving system equations. The transform defines a function of time as a function of a complex variable, making it simpler to study systems with linear differential equations.

Why are Laplace Transforms useful?

Laplace Transforms became famous due to an English electrical engineer named Oliver Heaviside He emphasizes using them to conceptualize operational calculus and to solve ordinary differential equations that have constant coefficients. Heaviside proved that ordinary methods will not work. For example…

Heaviside’s methods classical approaches were able to explain the movement of a spring when a steady or periodic force is applied. However, if the force is impulsive or discontinuous, then he faltered too.

He is not the only one to rely on additional explanation. Laplace Transforms work wonderfully in cases when the input is uncertain or only partially accurate is defined.

Due to these and other factors, Laplace Transforms prove to be extremely helpful when solving real life problems, specifically dealing with initial values and boundaries.

The Concept of Laplace Analysis

In simple terms, the Laplace Transform takes a function of time,  , and gives you it in the function of frequency F(s). The formula is:

Here:

·          is function of the time.

·          is the function of the frequency.

·          is a complex variable.

Problems that involve differentials are much easier to solve after the transformation is done, as it changes the differential terms to algebraic ones.

Main Aspects and Uses

Laplace Transforms possess  great useful features, such as :

·         Linearity - You can add the transforms (or take their linear combination), and it becomes much simpler.

·         Time-Shifting - A system can be studied and analyzed even if there is a delay in its input.

·         Frequency-Shifting - A system which is affected by exponential factors can be easily studied.

·         Convolution - The function can be multiplied easily in the time domain.

These features allow Laplace Transforms to be extensively used among scientists and engineers in different branches of engineering and science:

1.      In control systems to increase the stability and predictability of various processes.

2.      In signal systems to study relationships between electronic signals and their application.

3.      In mechanical engineering to study vibration and force.

4.      In electrical engineering to solve current and voltage problems in circuits.

Goals for Modifying a Function

Laplace transformation is not applicable to every function. The function has to satisfy the following conditions in order to work with Laplace Transforms:

There has to be a finite number of breaks or discontinuities over the desired interval, which makes it piecewise continuous.

Exponential order also means that the function will not grow faster than an exponential curve.

Exponential functions like or are perfectly suitable, while is not.

An example look into Uses

Think of the equation calculated for a spring in motion and the force acting towards it is discontinuous. Such issues are problematic for classical methods as they have to deal with continuity, while Laplace Transforms are able to do so with ease by using algebraic expressions to represent discontinuous inputs.

As an example:

The Laplace Transform of f(t) = 1 is 1/s

The Laplace transform will be f(t)= t is 1/s²

All sinusoidal inputs such as f(t) = sin(at) will have a result of a/(s² + a²).

Such different representations solve a lot of problems regarding complex differential systems.

The First Shift Property (Exponential Shift)

We can derive the transform of directly from by utilizing the First Shift Theorem. It states that if the transform of a function f(t) is known, then the transform of