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Linear Algebra, Theory And Applications, 2012a

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224 VECTOR SPACES AND FIELDS<br />

where the polynomials q i (x) are relatively prime and all the polynomials p (x) and<br />

q i (x) have coefficients in a field of scalars F. Thus there exist polynomials a i (x)<br />

having coefficients in F such that<br />

m∑<br />

1= a i (x) q i (x)<br />

Explain why<br />

i=1<br />

R (x) = p (x) ∑ m<br />

i=1 a i (x) q i (x)<br />

=<br />

q 1 (x) ···q m (x)<br />

m∑<br />

i=1<br />

a i (x) p (x)<br />

∏<br />

j≠i q j (x)<br />

Now continue doing this on each term in the above sum till finally you obtain an<br />

expression of the form<br />

m∑ b i (x)<br />

q i (x)<br />

i=1<br />

Using the Euclidean algorithm for polynomials, explain why the above is of the form<br />

M (x)+<br />

m∑<br />

i=1<br />

r i (x)<br />

q i (x)<br />

where the degree of each r i (x) is less than the degree of q i (x) andM (x) is a polynomial.<br />

Now argue that M (x) =0. From this explain why the usual partial fractions<br />

expansion of calculus must be true. You can use the fact that every polynomial having<br />

real coefficients factors into a product of irreducible quadratic polynomials and linear<br />

polynomials having real coefficients. This follows from the fundamental theorem of<br />

algebra in the appendix.<br />

43. Suppose {f 1 , ··· ,f n } is an independent set of smooth functions defined on some interval<br />

(a, b). Now let A be an invertible n × n matrix. Define new functions {g 1 , ··· ,g n }<br />

as follows.<br />

⎛<br />

g 1<br />

⎞ ⎛<br />

f 1<br />

⎞<br />

⎜<br />

⎝<br />

.<br />

g n<br />

⎟ ⎜<br />

⎠ = A ⎝<br />

.<br />

f n<br />

⎟<br />

⎠<br />

Isitthecasethat{g 1 , ··· ,g n } is also independent? Explain why.

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