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Homework 9
114B
due Wednesday November 27, 2002:

Do Boas Chapter 15:

3.4, 3.9, 6.1, 6.7, 8.6, 8.7, 8.18, 9.4, 9.5

1. Find the the general solution to G(x,x') in the equation

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2. For tex2html_wrap_inline40 , solve the equation

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given that initially tex2html_wrap_inline44 and that for all tex2html_wrap_inline46 one makes tex2html_wrap_inline48 . Hint: Laplace transform the equation with respect to time. You now should get a differential equation involving only an x derivative. Solve this equation and remember that it can be multiplied by an arbitrary function of p (p is the variable conjugate to t in the Laplace transform). To determine this arbitrary function, Laplace transform the initial condition tex2html_wrap_inline50 . Now you'll need to find the inverse Laplace transform. Remember that the Laplace transform of

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is tex2html_wrap_inline54 . Also the Laplace transform of tex2html_wrap_inline56 is tex2html_wrap_inline58 .

3. Consider the circuit for a low pass filter shown below.

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(a) It has a resistance R and capacitance C. An input voltage of tex2html_wrap_inline64 is applied, and the output voltage is denoted V(t). Show that V satisfies the equation

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Recall that for a capacitor Q=CV, the voltage drop across a resistor is IR, and I = dQ/dt.

(b)The Fourier transform tex2html_wrap_inline78 and tex2html_wrap_inline80 . Show that one can write

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and solve for tex2html_wrap_inline84 .

(c) Take the inverse transform for tex2html_wrap_inline86 do obtain V(t) as a convolution.
(d) Using this expression, find V(t) when the input tex2html_wrap_inline92 . This is the Greens function for this problem.
(e) Using part (b), find V(t) when tex2html_wrap_inline96 . From this, explain why this circuit is called a low pass filter.

4. The probability distribution function (PDF) is useful in many areas of science. The probability that a quantity has a value between x and x+dx is P(x) dx, where P(x) is the PDF of the quantity.

Events A and B are said to be independent if the probability of finding A in the interval tex2html_wrap_inline106 and B in the interval tex2html_wrap_inline110 is

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Here the PDF for A is tex2html_wrap_inline114 and the PDF for B is tex2html_wrap_inline116 .

The PDF for tex2html_wrap_inline118 is

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where the S subscript denotes ``sum''.

(a) Express tex2html_wrap_inline122 as a convolution.
(b) Now suppose tex2html_wrap_inline124 , where all the tex2html_wrap_inline126 's are independent and all have a PDF P(x), express the PDF of y as convolutions of P(x).
(c) In a classical gas, the PDF of the x-component of the velocity of a particle is a Gaussian distribution

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where tex2html_wrap_inline136 (m is the mass and T is the temperature). The velocity of different particles are independent of each other. Find the PDF of the sum of the velocities of n particles tex2html_wrap_inline144 in the x-direction. Hint: use the convolution Theorem).




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Joshua Deutsch