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Linear Algebra, 2020a

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300 Chapter Three. Maps Between Spaces<br />

8 This table lists the average distance from the sun to each of the first seven planets,<br />

using Earth’s average as a unit.<br />

Mercury Venus Earth Mars Jupiter Saturn Uranus<br />

0.39 0.72 1.00 1.52 5.20 9.54 19.2<br />

(a) Plot the number of the planet (Mercury is 1, etc.) versus the distance. Note<br />

that it does not look like a line, and so finding the line of best fit is not fruitful.<br />

(b) It does, however look like an exponential curve. Therefore, plot the number<br />

of the planet versus the logarithm of the distance. Does this look like a line?<br />

(c) The asteroid belt between Mars and Jupiter is what is left of a planet that<br />

broke apart. Renumber so that Jupiter is 6, Saturn is 7, and Uranus is 8, and<br />

plot against the log again. Does this look better?<br />

(d) Use least squares on that data to predict the location of Neptune.<br />

(e) Repeat to predict where Pluto is.<br />

(f) Is the formula accurate for Neptune and Pluto?<br />

This method was used to help discover Neptune (although the second item is<br />

misleading about the history; actually, the discovery of Neptune in position 9<br />

prompted people to look for the “missing planet” in position 5). See [Gardner, 1970]<br />

9 Suppose that W is a subspace of R n for some n and suppose that ⃗v is not an<br />

element of W. Let the orthogonal projection of ⃗v into W be the vector proj W (⃗v) =⃗p.<br />

Show that ⃗p is the element of W that is closest to ⃗v.

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