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Explicit inverses of some tridiagonal matrices - Estudo Geral ...

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10 C.M. da Fonseca, J. Petronilho / Linear Algebra and its Applications 325 (2001) 7–21<br />

⎧<br />

(−1) ⎪⎨<br />

i+j d j+1 ···d n<br />

b i ···b j−1 if i j,<br />

δ i ···δ n<br />

(T −1 ) ij =<br />

⎪⎩ (−1) i+j d i+1 ···d n<br />

c j ···c i−1 if i>j<br />

δ j ···δ n<br />

(with the convention that empty product equals 1).<br />

Pro<strong>of</strong>. Let us assume that i j.Then<br />

But<br />

(T −1 ) ij = u i v j = (−1) n−i b i ···b n−1<br />

δ i ···δ n v n<br />

× (−1) j−1 b 1 ···b j−1<br />

d 1 ···d j<br />

.<br />

v n = (−1) n−1 b 1 ···b n−1<br />

.<br />

d 1 ···d n<br />

Therefore<br />

(T −1 ) ij =(−1) n−i b i ···b n−1<br />

δ i ···δ n<br />

× (−1) n−1 d 1 ···d n<br />

b 1 ···b n−1<br />

× (−1) j−1 b 1 ···b j−1<br />

d 1 ···d j<br />

=(−1) i+j b i ···b j−1<br />

d j+1 ···d n<br />

δ i ···δ n<br />

. □<br />

If we set<br />

δ i =<br />

θ i<br />

,<br />

θ i−1<br />

θ 0 = 1, θ 1 = a 1 , (5)<br />

we get the recurrence relation<br />

θ i = a i θ i−1 − b i−1 c i−1 θ i−2 ;<br />

and if we now put<br />

d i =<br />

φ i<br />

, φ n+1 = 1, φ n = a n , (6)<br />

φ i+1<br />

we get the recurrence relation<br />

φ i = a i φ i+1 − b i c i φ i+2 .<br />

As a consequence, we will achieve<br />

⎧<br />

⎨(−1) i+j b i ···b j−1 θ i−1 φ j+1 /θ n if i j,<br />

(T −1 ) ij =<br />

(7)<br />

⎩<br />

(−1) i+j c j ···c i−1 θ j−1 φ i+1 /θ n if i>j.<br />

These are the general relations given by Usmani [9], which we will use throghout<br />

this paper. Notice that<br />

θ n = δ 1 ···δ n = det T.

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