ALA K+Kf+Bt, part a, fall 2002

Program

1. Understand what is "linearization by a tangent" by starting matlab, giving the command setpath, opening RMplus (with the command open('RMplus.fig')) and then the "Linearization lab". Verify that the tangent to   y = f(x) = x.^3   for   x = .5   is   y = .125 + .75 (x - .5).  Verify that the tangent to   y = f(x) = 1. / (x.^2 + 1)   for   x = 1   is   y = .5 - .5 (x - 1).  Find the tangent to   y = f(x) = 1. / (x.^2 + 1)   for   x = -.5.  Zoom in to make sure you really found the tangent. Compare to the tangent found by symbolic derivation. What is the tangent to   y = f(x) = sqrt(x.^2 + 1)   for   x = 1 ?

2. Understand what is the "inverse" of a given function   f(x)  (it is NOT   1 / f(x) !!), by opening the "General lab". Study the given functions   f(x) = x.^2   (in blue) and   g(y) = y.^3   (in red) by varying   x   and   y,  respectively. Note, in particular, that we may consider   y   to be the independent variable and   x   to be the dependent varaible, as in   x = g(y).  Then erase the given function   g(y) = y.^3   by writing nothing in the corresponding edit box, and giving a return. If you now vary   y,   the interpretation of the code is that you like to find the   x   for which   f(x) = y,   denoted   f^(-1)(y),   if there is no more than one such   x.   Test this! Can you change   D_f   so that there is a unique   x = f^(-1)(y)   for all   y   in   V_f ? How do you think   x   is found?

3. Test the following program for computing succesively better and better values of the derivative of   f(x) = sqrt(x)   for   x = 1:

for i = 1:15
x = 1 + 1/10^i;
disp( (sqrt(x) - 1) / (x - 1) )
end

Explain the idea, and what you see! What is the surprise?

4. Now open the   f : R x R -> R   lab and seek the tangent plane to   z = g(x,y) = -x.^2 - y.^2   for   x = -.5,  y = 0,  by selecting   f(x,y)   of the form   m + kx + ly   and varying   m, k   and   l.

5. Go back to complete the lab work suggested earlier, in case you haven't had time to do this before.

/Kenneth


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