Mathematics Asked by Uri Toti on December 17, 2020
We are given the following $ntimes n$ matrix, whose terms are:
I know we can simply compute this and try to find a pattern, but is there a faster way? Maybe using some properties of the determinant of a matrix?
begin{align*} & begin{vmatrix} a + b & a & a & cdots & a \ a & a + b & a & cdots & a \ a & a & a + b & cdots & a\ vdots & vdots & vdots & ddots & vdots \ a & a & a & cdots &a + b end{vmatrix} \ = & begin{vmatrix} na + b & na + b & na + b & cdots & na + b \ a & a + b & a & cdots & a \ a & a & a + b & cdots & a\ vdots & vdots & vdots & ddots & vdots \ a & a & a & cdots &a + b end{vmatrix} \ = & (na + b)begin{vmatrix} 1 & 1 & 1 & cdots & 1 \ a & a + b & a & cdots & a \ a & a & a + b & cdots & a\ vdots & vdots & vdots & ddots & vdots \ a & a & a & cdots &a + b end{vmatrix} \ = & (na + b)begin{vmatrix} 1 & 1 & 1 & cdots & 1 \ 0 & b & 0 & cdots & 0 \ 0 & 0 & b & cdots & 0 \ vdots & vdots & vdots & ddots & vdots \ 0 & 0 & 0 & cdots & b end{vmatrix} \ =& (na + b)b^{n - 1} end{align*}
Can you figure out what operations I used in each step?
Correct answer by Zhanxiong on December 17, 2020
Let $mathbf e_i$ denote the $i$th standard base vector and $mathbf j=summathbf e_i$ denote the "all-ones" vector.
Clearly, $Amathbf j=(b+na)mathbf j$, so $mathbf j$ is an eigenvector of eigenvalue $b+na$.
Also $Amathbf e_i=bmathbf e_i+amathbf j$ so that for $2le ile n$, $A(mathbf e_i-mathbf e_1)=b(mathbf e_i-mathbf e_1)$, i.e., we know $n-1$ linearly independent eigenvectors of eigenvalue $b$.
All in all, we have found a basis consisting of eigenvectors an know their eigenvalues, and can conclude that $$det A=(b+na)cdot b^{n-1}.$$
Answered by Hagen von Eitzen on December 17, 2020
You can use the matrix determinant lemma.
You have
$$C = b I + a {bf u} {bf u}^t$$
where ${ bf u}$ a all-ones column vector.
Then $$det(C) = (1 + a {bf u}^t({b}I)^{-1} {bf u}) det(b I) $$
Can you go on from here?
Answered by leonbloy on December 17, 2020
The given matrix may be written as $bI_n+mathbf amathbf1^T$ where $mathbf x$ denotes a vector consisting of $n$ copies of $mathbf x$. The matrix determinant lemma gives the required determinant as $$(1+mathbf 1^T(I_n/b)mathbf a)det bI_n=(1+na/b)b^n=b^n+nab^{n-1}$$
Answered by Parcly Taxel on December 17, 2020
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