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'''Origin of [[Laplace transform|Laplace Transform]]''' [https://kiwi.ecn.purdue.edu/rhea/index.php/User:Green26 (alec green)]
 
  
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In the first 15 minutes of this [http://ocw.mit.edu/courses/mathematics/18-03-differential-equations-spring-2010/video-lectures/lecture-19-introduction-to-the-laplace-transform/ MIT lecture], Arthur Mattuck delivers a clear illustration of what the Laplace transform really is: a continuous analogue of the discrete power series.
 
 
Below I've merely summarized his explanation.
 
 
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(1) '''Power series = discrete summation'''
 
 
We start with this power series:
 
 
<math>A(x) = \sum_{n=0}^{\infty} a(n)x^{n} \ \mid  \ a(n) \in \R \ \ \ \forall \ n \in \N</math>
 
 
In case you're not familiar with all the above notation, here's the explicit translation starting starting after the summation term, where each quoted term corresponds to each symbol:  'such that' a(n) 'is an element of' 'the set of real numbers' 'for all' n 'which are elements of' 'the set of natural numbers'.
 
 
Note that <math>a(n)</math> is a function here, and just defines the coefficient of each polynomial term in the power series, since a power series is <math>  = a(0) + a(1)x + a(2)x^{2} + ... + a(n)x^{n} + ... </math>  However, because the power series is a discrete summation, <math>a(n)</math> is only guaranteed to be defined if <math>n</math> is a natural number (non-negative integer), as indicated above.  So for example, <math>a(23)</math> is defined, but not necessarily <math>a(-2)</math>, <math>a(.5)</math>, or <math>a(10.001)</math>.
 
 
 
(2) '''Integral = continuous summation'''
 
 
Now we'll make the following conversions:
 
*from discretely defined function <math>a</math> to continuously defined function <math>f</math>
 
*from discrete dependent variable <math>n</math> to continuous dependent variable <math>t</math>
 
 
to arrive at:
 
 
<math>F(x)=\int_{0}^{\infty} f(t)x^{t} \ dt  \ \mid  \ f(t) \in \R \ \ \ \forall \ t \in (0,\infty)</math>
 
 
The only difference now is that we sum the contributions of <math>f(t)x^{t}</math> for all ''real numbers'' instead of all ''natural numbers'' from 0 to infiniti, and we can likewise expect <math>f(t)</math> to be defined at all those points.
 
 
 
(3) '''Define variable <math>s</math> in terms of <math>x</math>'''
 
 
By setting <math>x^{t}</math> to the more easily integrable <math>e^{ln(x)t}</math>, and realizing that <math>e^{ln(x)}</math> only depends on <math>x</math>, we obtain:
 
 
<math>F(e^{ln(x)}) = F(x)=\int_{0}^{\infty} f(t)e^{ln(x)t} \ dt</math>
 
 
Finally, noting that the integral is only guaranteed to converge if the exponential is to a negative power (which implies that <math>ln(x)</math> must be <math>< 0</math>), we arbitrarily set <math>s = -ln(x)</math> or <math>-s = ln(x)</math>, which leaves us with:
 
 
<math>F(e^{-s}) = F(s)=\int_{0}^{\infty} f(t)e^{-st} \ dt \ | \ \forall s > 0</math>
 
 
The integral is not necessarily defined if <math>s=0</math> (eg, if <math>f(t)=t</math>).  Also, I'm not sure how to deal with the case when <math>s</math> is undefined (ie <math>x<0</math>), but Prof. Mattuck just asserts that <math>0 < x < 1</math> to avoid this case.
 

Latest revision as of 07:40, 5 November 2012

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