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Find the Laplace transform of the given function. In Problem 27 assume that term-by-term integration of the infinite series is permissible. $$ f(t)=\left\\{\begin{array}{ll}{1,} & {0 \leq t<1} \\ {0,} & {t \geq 1}\end{array}\right. $$

Short Answer

Expert verified
$$ f(t) = \begin{cases} 1, & 0 \leq t < 1 \\ 0, & 1 \leq t \end{cases} $$ Answer: The Laplace transform of the given function is: $$ \mathcal{L}\{f(t)\} = \frac{1}{s} - \frac{1}{s}e^{-s} $$

Step by step solution

01

Identify the regions of the piecewise function

Before applying the Laplace transform, let's identify the different parts of the function. We have two regions, one where the function is equal to 1 from 0 to 1, and the other where the function is equal to 0 from 1 to infinity.
02

Apply the Laplace transform definition to each region

Now that we have identified the regions of the piecewise function, we can apply the definition of the Laplace transform by taking the integral of each piece. First, we consider the part where the function is 1 from 0 to 1. $$ \mathcal{L}\{f(t)\} = \int_0^1 e^{-st} dt $$ Second, we consider the part where the function is 0 from 1 to infinity. $$ \mathcal{L}\{f(t)\} = \int_1^{\infty} e^{-st}(0) dt $$
03

Solve the integrals

Now we need to solve the integrals for both parts of the function. For the first integral, we have: $$ \int_0^1 e^{-st} dt = \left[-\frac{1}{s}e^{-st}\right]_0^1 = -\frac{1}{s}e^{-s} + \frac{1}{s} $$ For the second integral, since we are multiplying by 0, the integral will be 0. $$ \int_1^{\infty} e^{-st}(0) dt = 0 $$
04

Combine the results

Now we can combine the results to find the Laplace transform of our function: $$ \mathcal{L}\{f(t)\} = \left(-\frac{1}{s}e^{-s} + \frac{1}{s}\right) + 0 = \frac{1}{s} - \frac{1}{s}e^{-s} $$ So, the Laplace transform of the given function is: $$ \mathcal{L}\{f(t)\} = \frac{1}{s} - \frac{1}{s}e^{-s} $$

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding Piecewise Functions
In mathematical analysis, a piecewise function is one where a function is defined by multiple sub-functions, each applying to a certain interval of the main function's domain. This allows for the easy handling of functions that behave differently in various sections of their domain.
In the given problem, the piecewise function was defined by:
  • For the interval \(0 \leq t < 1\), the function is constant at 1.
  • For \(t \geq 1\), the function becomes 0.

This kind of function is perfect for modeling situations where a phenomenon changes behavior at specific points, like a switch turning on or off. Understanding the regions and behavior of these sub-functions is crucial before applying any mathematical transformations, like the Laplace transform.
The Basics of Integration
Integration is a fundamental concept in calculus that helps us find the area under a curve defined by a function, over a certain interval. It is the reverse process of differentiation, and it is indispensable for analyzing functions and solving differential equations.
To solve for the Laplace transform, the integral approach was crucial. We divide our piecewise function into intervals and apply integration to each interval separately:
  • For \(0 \leq t < 1\), we calculated \(\int_0^1 e^{-st} dt\), which resulted in a value using the integration formula for an exponential function.
  • For \(t \geq 1\), since the function is zero, the integral is simplified directly to 0.

Overall, integration allows us to sum up continuous values over an interval, producing a complete and comprehensive result that aids in analyzing the function's behavior.
Exploring Infinite Series
Infinite series is a sum of an infinite sequence of terms. They are extensively used in mathematics to describe functions through their series expansions. When encountering a problem, infinite series often let us redefine functions to express them in more manageable forms.
In context, the assumption was made that term-by-term integration of the series defining the function is permissible. This assumption is critical:
  • It supports rearranging and simplifying the computations by evaluating narrower segments of a broader range.
  • It fosters more straightforward manipulation of both finite and infinite form results, which is indispensable when analyzing complex functions.

By understanding infinite series, we gain insight into not only the structure and behavior of specific functions but also the methods for approximating these functions.
Analyzing Functions
Function analysis is a crucial part of higher mathematics that involves the investigation of properties and behaviors of functions. This includes understanding continuity, limits, and differentiability.
In our task, analyzing the function involved:
  • Determining the layout of the piecewise components and when they are effective.
  • Applying and integrating mathematical operations to each segment.
  • Using series assumptions and close examination to simplify unnecessary calculations or steps.

Effectively analyzing functions ensures that the solution to the problem is both correct and concise, leveraging classic techniques like decomposition of piecewise functions and integration to make complex problems more tractable.

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Most popular questions from this chapter

Suppose that \(f\) and \(f^{\prime}\) are continuous for \(t \geq 0\), and of exponential order as \(t \rightarrow \infty .\) Show by integration by parts that if \(F(s)=\mathcal{L}(f(t))\), then \(\lim _{s \rightarrow \infty} F(s)=0\). The result is actually true under less restrictive conditions, such as those of Theorem \(6.1 .2 .\)

Consider Bessel's equation of order zero $$ t y^{\prime \prime}+y^{\prime}+t y=0 $$ Recall from Section 5.4 that \(t=0\) is a regular singular point for this equation, and therefore solutions may become unbounded as \(t \rightarrow 0\). However, let us try to determine whether there are any solutions that remain finite at \(t=0\) and have finite derivatives there. Assuming that there is such a solution \(y=\phi(t),\) let \(Y(s)=\mathcal{L}\\{\phi(t)\\} .\) (a) Show that \(Y(s)\) satisfies $$ \left(1+s^{2}\right) Y^{\prime}(s)+s Y(s)=0 $$ (b) Show that \(Y(s)=c\left(1+s^{2}\right)^{-1 / 2},\) where \(c\) is an arbitrary constant. (c) Expanding \(\left(1+s^{2}\right)^{-1 / 2}\) in a binomial series valid for \(s>1\) assuming that it is permissible to take the inverse transform term by term, show that $$ y=c \sum_{n=0}^{\infty} \frac{(-1)^{n} t^{2 n}}{2^{2 n}(n !)^{2}}=c J_{0}(t) $$ where \(J_{0}\) is the Bessel function of the first kind of order zero. Note that \(J_{0}(0)=1\), and that solution of this equation becomes unbounded as \(t \rightarrow 0 .\)

Use the Laplace transform to solve the given initial value problem. $$ y^{\prime \prime}-2 y^{\prime}+2 y=\cos t ; \quad y(0)=1, \quad y^{\prime}(0)=0 $$

Suppose that \(F(s)=\mathcal{L}\\{f(t)\\}\) exists for \(s>a \geq 0\) (a) Show that if \(c\) is a positive constant, then $$ \mathcal{L}\\{f(c t)\\}=\frac{1}{c} F\left(\frac{s}{c}\right), \quad s>c a $$ (b) Show that if \(k\) is a positive constant, then $$ \mathcal{L}^{-1}\\{F(k s)\\}=\frac{1}{k} f\left(\frac{t}{k}\right) $$ (c) Show that if \(a\) and \(b\) are constants with \(a>0,\) then $$ \mathcal{L}^{-1}\\{F(a s+b)\\}=\frac{1}{a} e^{-b / d} f\left(\frac{t}{a}\right) $$

The Tautochrone. A problem of interest in the history of mathematics is that of finding the tautochrone-the curve down which a particle will slide freely under gravity alone, reaching the bottom in the same time regardless of its starting point on the curve. This problem arose in the construction of a clock pendulum whose period is independent of the amplitude of its motion. The tautochrone was found by Christian Huygens \((1629-\) \(1695)\) in 1673 by geometrical methods, and later by Leibniz and Jakob Bernoulli using analytical arguments. Bernoulli's solution (in \(1690)\) was one of the first occasions on which a differential equation was explicitly solved. The Tautochrone. A problem of interest in the history of mathematics is that of finding the tautochrone-the curve down which a particle will slide freely under gravity alone, reaching the bottom in the same time regardless of its starting point on the curve. This problem arose in the construction of a clock pendulum whose period is independent of the amplitude of its motion. The tautochrone was found by Christian Huygens \((1629-\) \(1695)\) in 1673 by geometrical methods, and later by Leibniz and Jakob Bernoulli using analytical arguments. Bernoulli's solution (in \(1690)\) was one of the first occasions on which a differential equation was explicitly solved. The geometrical configuration is shown in Figure \(6.6 .2 .\) The starting point \(P(a, b)\) is joined to the terminal point \((0,0)\) by the arc \(C .\) Arc length \(s\) is measured from the origin, and \(f(y)\) denotes the rate of change of \(s\) with respect to \(y:\) $$ f(y)=\frac{d s}{d y}=\left[1+\left(\frac{d x}{d y}\right)^{2}\right]^{1 / 2} $$ Then it follows from the principle of conservation of energy that the time \(T(b)\) required for a particle to slide from \(P\) to the origin is $$ T(b)=\frac{1}{\sqrt{2 g}} \int_{0}^{b} \frac{f(y)}{\sqrt{b-y}} d y $$

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