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Linear Algebra, 2020a

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294 Chapter Three. Maps Between Spaces<br />

are both members of the perp of the null space. Prove that N (f) ⊥ is the span<br />

of these two. (Hint. See the third item of Exercise 26.)<br />

(d) Generalize that to apply to any f: R n → R m .<br />

In [Strang 93] this is called the Fundamental Theorem of <strong>Linear</strong> <strong>Algebra</strong><br />

3.28 Define a projection to be a linear transformation t: V → V with the property<br />

that repeating the projection does nothing more than does the projection alone: (t◦<br />

t)(⃗v) =t(⃗v) for all ⃗v ∈ V.<br />

(a) Show that orthogonal projection into a line has that property.<br />

(b) Show that projection along a subspace has that property.<br />

(c) Show that for any such t there is a basis B = 〈⃗β 1 ,...,⃗β n 〉 for V such that<br />

{<br />

β ⃗ i i = 1,2,..., r<br />

t(⃗β i )=<br />

⃗0 i = r + 1, r + 2,..., n<br />

where r is the rank of t.<br />

(d) Conclude that every projection is a projection along a subspace.<br />

(e) Also conclude that every projection has a representation<br />

( )<br />

I Z<br />

Rep B,B (t) =<br />

Z Z<br />

in block partial-identity form.<br />

3.29 A square matrix is symmetric if each i, j entry equals the j, i entry (i.e., if the<br />

matrix equals its transpose). Show that the projection matrix A(A T A) −1 A T is<br />

symmetric. [Strang 80] Hint. Find properties of transposes by looking in the index<br />

under ‘transpose’.

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