What is the determinant of a special matrix involving trigonometric functions?

  • MHB
  • Thread starter Ackbach
  • Start date
  • Tags
    2017
In summary, a special matrix involving trigonometric functions is a matrix where the entries are expressed using trigonometric functions. The determinant of such a matrix represents the scaling factor by which it transforms an area or volume in space, and can be calculated using various methods. It has applications in mathematics and science, and has special properties such as periodicity and always being a real number.
  • #1
Ackbach
Gold Member
MHB
4,155
89
Here is this week's POTW, shamefully late. I can only say I will promise to do better in the next few weeks, and even try to catch up with the missed week:

-----

For an integer $n\geq 3$, let $\theta=2\pi/n$. Evaluate the determinant of the $n\times n$ matrix $I+A$, where $I$ is the $n\times n$ identity matrix and $A=(a_{jk})$ has entries $a_{jk}=\cos(j\theta+k\theta)$ for all $j,k$.

-----

Remember to read the http://www.mathhelpboards.com/showthread.php?772-Problem-of-the-Week-%28POTW%29-Procedure-and-Guidelines to find out how to http://www.mathhelpboards.com/forms.php?do=form&fid=2!
 
Physics news on Phys.org
  • #2
Re: Problem Of The Week # 258 - Apr 10, 2017

This was Problem B-5 in the 1999 William Lowell Putnam Mathematical Competition.

Congratulations to Opalg for his correct solution, which follows:

Let $\omega = e^{2\pi i/n}$ and define $n\times n$ matrices $\Omega, \overline{\Omega}$ with $(j,k)$ entries $\omega^{j+k}$ and $\omega^{-(j+k)}$ respectively, so that $$\Omega = \begin{bmatrix}1&\omega &\omega^2 &\ldots &\omega^{n-1} \\ \omega &\omega^2 &\omega^3 &\ldots &1 \\ \vdots& \vdots& \vdots& \ddots \\ \omega^{n-1} &1&\omega &\ldots &\omega^{n-2} \end{bmatrix}, \qquad \overline{\Omega} = \begin{bmatrix}1&\omega^{-1} &\omega^{-2} &\ldots &\omega^{-(n-1)} \\ \omega^{-1} &\omega^{-2} &\omega^{-3} &\ldots &1 \\ \vdots& \vdots& \vdots& \ddots \\ \omega^{-(n-1)} &1&\omega^{-1} &\ldots &\omega^{-(n-2)} \end{bmatrix}.$$

Note: I am numbering the rows and columns from $0$ to $n-1$, so that the top left-hand element of each matrix is $\omega^0 =1$. If the rows and columns are numbered from $1$ to $n$ then the top left-hand elements would be $\omega^2$ and $\omega^{-2}$, which seems less natural. But the numbering convention does not affect the answer to the problem, which would be the same in either case.

Both matrices $\Omega, \overline{\Omega}$ have rank $1$, because in each case every column is a scalar multiple of the first column. Denote these first columns by $e_1 = (1,\omega ,\omega^2,\ldots ,\omega^{n-1})$, $e_2 = (1,\omega^{-1} ,\omega^{-2},\ldots ,\omega^{-(n-1)})$ (writing them as row vectors for convenience, although they are really column vectors). Let $V$ be the two-dimensional subspace of $\Bbb{C}^n$ spanned by $e_1$ and $e_2$. The linear transformations represented by the matrices $\Omega, \overline{\Omega}$ both have range in $V$. Denote by $\Omega\big| _V, \overline{\Omega}\big|_V$ their restrictions to $V$. Using the facts that \(\displaystyle \sum_{k=0}^{n-1}\omega^k\omega^{-k} = n\) and \(\displaystyle \sum_{k=0}^{n-1}\omega^{2k} = 0\), you can check that $\Omega\big| _V(e_1) = 0$, $\Omega\big| _V(e_2) = ne_1$, $\overline{\Omega}\big| _V(e_1) = ne_2$ and $\overline{\Omega}\big| _V(e_2) = 0.$ So the matrices of these transformations with respect to the basis $\{e_1,e_2\}$ of $V$ are $$ \Omega\big| _V = \begin{bmatrix}0&n\\0&0 \end{bmatrix},\qquad \overline{\Omega}\big| _V = \begin{bmatrix}0&0\\n&0 \end{bmatrix}.$$

Turning now to the given matrix $A$, notice that $A = \frac12(\Omega + \overline{\Omega})$. Therefore the restriction of $A$ to $V$ has matrix $\frac n2 \begin{bmatrix}0&1\\1&0 \end{bmatrix}$ (with respect to the basis $\{e_1,e_2\}$). The eigenvalues of $ \begin{bmatrix}0&1\\1&0 \end{bmatrix}$ are $\pm1$. Also, $A$ has rank $2$, so it can only have two nonzero eigenvalues. It follows that the eigenvalues of $A$ are $0$ (with multiplicity $n-2$) and $\pm\frac n2.$ Therefore the eigenvalues of $I+A$ are $1$ (with multiplicity $n-2$) and $1\pm\frac n2.$ Since the determinant is the product of the eigenvalues, the conclusion is that $\det A = \bigl(1+\frac n2\bigr)\bigl(1-\frac n2\bigr) = 1 - \frac{n^2}4.$
 

Related to What is the determinant of a special matrix involving trigonometric functions?

1. What is a special matrix involving trigonometric functions?

A special matrix involving trigonometric functions is a matrix where the entries are expressed using trigonometric functions, such as sine, cosine, tangent, etc. These matrices are often used in applications involving geometry or physics.

2. What is the determinant of a special matrix involving trigonometric functions?

The determinant of a special matrix involving trigonometric functions is a value that can be calculated from the entries of the matrix. It represents the scaling factor by which the matrix transforms an area or volume in space. In other words, it measures how much the matrix changes the size of a shape.

3. How is the determinant of a special matrix involving trigonometric functions calculated?

The determinant of a special matrix involving trigonometric functions can be calculated using various methods, such as the cofactor expansion method or the row reduction method. These methods involve manipulating the matrix entries using mathematical operations based on the properties of determinants.

4. What is the significance of the determinant of a special matrix involving trigonometric functions?

The determinant of a special matrix involving trigonometric functions has several important applications in mathematics and science. It is used to solve systems of linear equations, find the inverse of a matrix, and determine whether a matrix is invertible. In geometry, it is used to calculate the area or volume of a transformed shape.

5. Are there any special properties of the determinant of a special matrix involving trigonometric functions?

Yes, there are several special properties of the determinant of a special matrix involving trigonometric functions. For example, the determinants of special trigonometric matrices are periodic functions, meaning they repeat the same values after a certain interval. Additionally, the determinant of a special trigonometric matrix is always a real number.

Similar threads

  • Math POTW for University Students
Replies
1
Views
1K
Replies
1
Views
2K
  • Math POTW for University Students
Replies
1
Views
1K
  • Math POTW for University Students
Replies
1
Views
1K
  • Math POTW for University Students
Replies
1
Views
1K
  • Math POTW for University Students
Replies
1
Views
1K
  • Math POTW for University Students
Replies
1
Views
2K
  • Math POTW for University Students
Replies
1
Views
1K
  • Math POTW for University Students
Replies
1
Views
1K
Back
Top