The table below contains data from a freshman lab experiment measuring g, the acceleration due to gravity. The experiment entails dropping an object from a height of 1 meter and checking its position every 50 milliseconds using a photogate. Use a least squares fit to estimate g from this data.
Time and Distance
t (ms)
0
50
100
150
200
250
y (cm)
100
97
96
90
78
71
Use the Gram-Schmidt process to turn {1,x,x2} into an orthogonal basis for R2[x] in the inner product
< f | g > = &int01 f(x)g(x)dx.
Answer: {1, x − 1/2, x2 − x + 1/6}
Use the orthogonal basis above to obtain the quadratic polynomial
that gives the best continuous least-squares fit for the function f(x)
= sin(πx) on the interval [0,1]. Use the same inner product as
in the previous problem.
Derive the orthogonality relations < e ijπt/L | e ikπt/L > = 2Lδj,k.
Find the complex Fourier series for f(x) = x on [0, 2L].
Answer:
Using the inner product < f | g > = &int02L f(x) g(x)dx, find the least squares fit to f(x) = x on [0, 2L] from span{1,eiπx/L, e−iπx/L}.