7.2 (continued)
use Laplace transform for linear system
transform each equation
use Laplace transform for linear system
transform each equation
the system can be solved in many ways
Cramer's rule is particularly useful
det. of coeff. matrix 1st column replaced by the right side
determinant of coeff. matrix
we know \[ \mathcal{L} \{ f(t) \} = F(s) = \int_{0}^{\infty} f(t) e^{-st} dt \]
what happens to \( f(t) \) if we do a translation in \( s \) domain
\( F(s-a) \rightarrow f(t) \text{ ?} \)
shift to the right by \( a \)
\[ F(s) = \int_{0}^{\infty} f(t) e^{-st} dt \]
\[ F(s-a) = \int_{0}^{\infty} f(t) e^{-(s-a)t} dt \]
\[ F(s-a) = \int_{0}^{\infty} [f(t) e^{at}] e^{-st} dt = \mathcal{L} \{ f(t) e^{at} \} \]
Translation Theorem (1)
from table : \(\mathcal{L}\{1\} = \frac{1}{s} = F(s)\)
\(F(s-a) = \frac{1}{s-a} = \mathcal{L}\{1 \cdot e^{at}\} = \mathcal{L}\{e^{at}\}\)
\(\mathcal{L}\{\sin(at)\} = \frac{a}{s^2+a^2} = F(s)\)
\(F(s-c) = \frac{a}{(s-c)^2+a^2} = \mathcal{L}\{e^{ct} \sin(at)\}\)
\[ y'' - 2y' + 5y = 8e^t \]
\[ y(0) = 2, y'(0) = 4 \]
\[ s^2 Y - s y(0) - y'(0) - 2(s Y - y(0)) + 5Y = \frac{8}{s-1} \]
\[ (s^2 - 2s + 5)Y = 2s + 4 - 4 + \frac{8}{s-1} \]
\[ Y = \frac{2s}{s^2 - 2s + 5} + \frac{8}{(s-1)(s^2 - 2s + 5)} \]
\[ = \frac{2s(s-1) + 8}{(s-1)(s^2 - 2s + 5)} \]
\( A + B = 2 \)
\( -2A - B + C = -2 \)
\( 5A - C = 8 \)
\( 4A = 8 \quad A = 2, B = 0, C = 2 \)
\( Y = \frac{2}{s-1} + \frac{2}{(s-1)^2 + 4} \)
looks like \( \frac{2}{s^2 + 4} \) shift by 1
\( e^t \sin(2t) \)
ℳ: \( y = 2e^t + e^t \sin(2t) \)
1st Translation Theorem: \( F(s-a) = \mathcal{L} \{ e^{at} f(t) \} \)
2nd Translation Theorem: \( \mathcal{L} \{ f(t-a) \} = ? \)
\[ \mathcal{L} \{ f(t-a) \} = \int_{0}^{\infty} f(t-a) e^{-st} dt \]
= 0 for \( t < a \)
let \( \tau = t - a \)
\[ = \int_{a}^{\infty} f(t-a) e^{-st} dt \]
delay in time