Compute The Inverse Laplace Transform Of The Function F On [0,00) Given By 8 + 12es 5e58 F(s) = S.288 is a fundamental problem in the field of Laplace transforms, often encountered in engineering, physics, and mathematics. Understanding how to find the inverse Laplace transform of a given function allows us to analyze the original time-domain signal or system response from its s-domain representation. This process involves several steps, including algebraic manipulation, partial fraction decomposition, and applying known inverse transforms. In this article, we will explore the theoretical background, detailed step-by-step procedures, and practical examples to help you master the computation of inverse Laplace transforms for complex functions like the one provided.
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Introduction to the Laplace Transform and Its Inverse
What is the Laplace Transform?
The Laplace transform is an integral transform that converts a time-domain function \(f(t)\), defined for \(t \geq 0\), into a complex frequency-domain function \(F(s)\). It is expressed as: \[ F(s) = \mathcal{L}\{f(t)\} = \int_0^{\infty} e^{-st}f(t) \, dt \] where:- \(f(t)\) is the original time-domain function,
- \(F(s)\) is the complex frequency-domain function,
- \(s\) is a complex variable, \(s = \sigma + j\omega\).
The Inverse Laplace Transform
The inverse Laplace transform is the process of retrieving \(f(t)\) from its transformed version \(F(s)\). It is formally defined as: \[ f(t) = \mathcal{L}^{-1}\{F(s)\} = \frac{1}{2\pi j} \int_{c - j\infty}^{c + j\infty} e^{st}F(s) \, ds \] where \(c\) is a real number chosen such that the contour of integration is to the right of all singularities of \(F(s)\).In practice, direct evaluation of this integral is complex, so we rely on tables of inverse transforms, partial fraction decomposition, and known transform pairs.
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Understanding the Given Function \(F(s)\)
The function provided is:
\[
F(s) = 8 + 12 e^{5s} \quad \text{(assuming the notation is \(8 + 12 e^{5s}\))}
\]
This expression appears to be a sum of a constant and an exponential term involving \(e^{5s}\). The notation "es 5e58" in the original prompt is ambiguous, but based on typical notation, it likely refers to \(e^{5s}\). The constant \(F(s) = 8 + 12 e^{5s}\) is a straightforward combination of a constant and an exponential.
Key observations:
- The constant term \(8\) corresponds to the Laplace transform of a delta function or a step function.
- The exponential term \(12 e^{5s}\) suggests a shifted function in the time domain.
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Step-by-Step Solution for Computing the Inverse Laplace Transform
1. Break Down the Function
Express \(F(s)\) as a sum of simpler functions: \[ F(s) = 8 + 12 e^{5s} \]Since the inverse Laplace transform is linear:
\[
\mathcal{L}^{-1}\{F(s)\} = \mathcal{L}^{-1}\{8\} + \mathcal{L}^{-1}\{12 e^{5s}\}
\]
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2. Find the Inverse of the Constant Term \(8\)
Recall that the Laplace transform of the Dirac delta function \(\delta(t)\) is 1: \[ \mathcal{L}\{\delta(t)\} = 1 \] and the Laplace transform of a constant \(a\) is: \[ \mathcal{L}\{a \cdot u(t)\} = \frac{a}{s} \]Since \(8\) is a constant, and it does not depend on \(s\), it corresponds to a distribution involving the delta function and the step function. For the purpose of inverse transforms, the inverse of a constant term is a scaled delta function:
\[
\mathcal{L}^{-1}\{8\} = 8 \delta(t)
\]
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3. Find the Inverse of \(12 e^{5s}\)
This is the more complex part. Recall the property of the Laplace transform involving exponential shifts: \[ \mathcal{L}\{f(t - a) u(t - a)\} = e^{ - a s } F(s) \] where \(u(t - a)\) is the Heaviside step function.Given that:
\[
\mathcal{L}\{f(t)\} = F(s)
\]
then:
\[
\mathcal{L}^{-1}\{e^{-a s} F(s)\} = f(t - a) u(t - a)
\]
In our case, the exponential term is \(e^{5s}\), which implies \(a = -5\). Since \(a\) is negative, the inverse transform involves a shift in the opposite direction.
However, note that the exponential term in the Laplace domain is \(e^{a s}\), corresponding to a shift by \(-a\) in the time domain.
But here, the term is \(12 e^{5s}\). To interpret this, consider the inverse transform of \(e^{b s}\):
- If \(F(s) = 1\), then \(\mathcal{L}^{-1}\{e^{b s}\} = \delta(t + b)\), which is not valid for \(t \geq 0\) unless \(b \leq 0\).
Alternatively, this suggests that the original function involves a shifted delta or impulse.
More straightforwardly:
The inverse Laplace transform of \(e^{a s}\) is \( \delta(t + a) \), but since \(t \geq 0\), only \(a \leq 0\) makes sense in this context.
Given the ambiguity, and assuming the original function is of the form \(12 e^{5s}\), which corresponds to a shifted delta function at \(t = -5\), which is outside the domain \(t \geq 0\), this suggests that the inverse transform is zero for \(t \geq 0\).
Alternatively, if the original function was \(12 e^{-5 s}\), then:
\[
\mathcal{L}^{-1}\{e^{-a s}\} = \delta(t - a)
\]
which is valid for \(a \geq 0\).
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4. Correct Interpretation and Final Result
Suppose the original expression is: \[ F(s) = 8 + 12 e^{-5 s} \] then:- \(\mathcal{L}^{-1}\{8\} = 8 \delta(t)\)
- \(\mathcal{L}^{-1}\{12 e^{-5 s}\} = 12 \delta(t - 5)\)
This represents an impulse at \(t=0\) with magnitude 8, and another impulse at \(t=5\) with magnitude 12.
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Summary of the Inverse Laplace Transform Calculation
| Term | Interpretation | Inverse Transform | Result |
|--------|---------------------|-------------------------|---------|
| \(8\) | Constant term | Scaled delta function | \(8 \delta(t)\) |
| \(12 e^{-5 s}\) | Exponential term | Shifted delta function | \(12 \delta(t - 5)\) |
Final answer:
\[
f(t) = 8 \delta(t) + 12 \delta(t - 5)
\]
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Additional Considerations and Practical Applications
Handling More Complex Functions
When the function \(F(s)\) involves rational expressions, partial fraction decomposition becomes essential. The steps typically involve:- Expressing \(F(s)\) as a sum of simpler fractions,
- Matching each term to known inverse transforms,
- Using shift theorems for exponential factors.
Real-World Applications
Inverse Laplace transforms are widely used in:- Solving differential equations,
- Analyzing electrical circuits,
- Mechanical system responses,
- Control system stability analysis.