
A quick introduction of what Laplace Transform is.
This video talks about how Laplace Transform is defined.
explore the linearity of the Laplace transform, pulling out constants and transforming sums, while noting products fail, and understand that equal transforms imply identical functions, and vice versa.
In this example, we will perform Laplace Transform of f(t)=(a-bt)^2. Let's get started!
Learn how to apply the Laplace transform to a piecewise function by splitting into 0–1, 1–2, and 2–∞ intervals, where f(t)=1, -1, and 0 respectively, using the table.
Practice applying the Laplace transform to a function across intervals, cancel zero intervals, and evaluate the integral from a to b of k e^{-s t} dt to obtain the result.
Introduce the shifting theorem for Laplace transforms, showing how multiplying a function by e^{a t} shifts its transform to F(s−a) and vice versa via the inverse transform of f(s−a).
Follow a guided Laplace transform example, identify the time-domain function, and apply the shift property with a = 2 to derive the final transform 1/(a^2 − 1).
Solve a Laplace differentiation problem for f(t)=sin^2(ω t) using the derivative property and chain rule. Apply the sine double-angle identity and transform rules to find F(s)=2ω^2/[s(s^2+4ω^2)].
Solve a laplace integration problem by applying inverse laplace transforms, rewriting terms with partial fraction-style expansion, and multiplying by 1/s to derive the original function through time-domain recovery.
In this course you will be learning the fundamentals of Laplace Transform and useful techniques to manipulate Laplace Transform.
This course is designed for
-students have a little bit calculus background, such as the concept of differentiation and integration
-someone wants to advance their math skills by learning how to perform Laplace Transform for their projects/research/homework
-someone that is considering renewing math skills to tackle new challenges
-someone wants to get basic understanding of Laplace Transform and later apply it to electrical networks, vibrations, signal processing, or other areas of engineering and science.