Linear Algebra - Determinant Proof

In summary, the student attempted to solve the homework equation but was lost. He was helped by the professor and now understands the n-1 value.
  • #1
erok81
464
0

Homework Statement



Consider the n x n determinant in which each entry on the main diagonal is a 2, each entry on the two adjacent diagonals is a 1, and every other entry is a zero.

Expand along the first row to show that B_n=2B_n-1 - B_n-2

Homework Equations



n/a

The Attempt at a Solution



I drew out a matrix, B_n...see my crossed out example. I am not sure how to type out a matrix using latex. :blushing:

Also in my image you can see where I started the cofactor expansion along row 1. After a few entries, I realized this isn't even close to correct, so I stopped.

Now I am at a loss of how to proceed. We got some guidance from the professor, but I don't quite understand still. I've included his comments below.

Write out determinant B_n on paper using "..." notation. At least six (6) columns
should be written, to give enough detail. Then use cofactor expansion along row 1
to produce 2 determinants of order n-1. Finally, use column 1 cofactor expansion
on the second determinant to produce a determinant of order n-2. All of this can
fit one one sheet of paper
.

Any direction would be appreciated.
 

Attachments

  • Attempt One.jpg
    Attempt One.jpg
    21 KB · Views: 402
Physics news on Phys.org
  • #2
It seems you haven't used this information at all:
"each entry on the main diagonal is a 2, each entry on the two adjacent diagonals is a 1, and every other entry is a zero."
 
  • #3
Oh *****.

That's where the n-1 values come from. Ok...let's try this again.

That was a pretty stupid oversight.
 
Last edited:
  • #4
I guess where I am lost is he says to do it in dimension n and use the notation "...", examples won't count. If I use the original matrix I have all numbers, no n values, and no "..." notation.

Not to mention in the instructions it says it takes one page.

For me to write out b_n, b_n-1, b_n-2, and cofactor expansion for row one on each of the matrices, I am at three pages now. So there is no way what I am doing is right.

I also threw all three matrices into maple, solved for their determinants, tried them in the "proof" formula that is given and didn't get the right answer there either...-19=7.
 
Last edited:
  • #5
The n value determines the size of the matrix. Use cofactor expansion along a suitable coloumn or row to find the determinant in terms of B_(n-1) and B_(n-2).

Your matrix should look something like this

[tex] \begin{array}{cccccc}
2 & 1 & 0 & 0 & 0 & \ddots \\
1 & 2 & 1 & 0 & 0 & \ddots \\
0 & 1 & 2 & 1 & 0 & \ddots \\
\ddots & \ddots & \ddots & \ddots & \ddots & \vdots \end{array}
[/tex]

with n rows and columns.
 
Last edited:
  • #6
Okay, that makes more sense.

We didn't really cover this in class, or what n-1 means, but now that you say that, it makes perfect sense.

Round three...
 
  • #7
You are a genius!

I haven't written it out but I threw the whole thing, correct this time into maple. Now I get the correct answers.

Thank you.

Now I'll give it a go on paper.
 
  • #8
It worked out. Took me four pages, but it got it.

Thanks again for the help.
 

FAQ: Linear Algebra - Determinant Proof

1. What is a determinant in linear algebra?

A determinant is a mathematical value that can be calculated for a square matrix. It represents the scaling factor of the transformation represented by the matrix.

2. How is a determinant calculated?

The determinant of a 2x2 matrix can be calculated by multiplying the values of the main diagonal and subtracting the product of the values on the other diagonal. For larger matrices, there are various methods such as cofactor expansion and Gaussian elimination.

3. Why are determinants important in linear algebra?

Determinants are important in linear algebra because they provide information about the properties of a matrix. They can be used to determine if a matrix is invertible, the number of solutions to a system of linear equations, and the volume of a parallelepiped defined by the vectors in a matrix.

4. What is the purpose of proving a determinant?

Proving a determinant is important because it helps to understand the properties and behavior of determinants in linear algebra. It also allows us to develop new methods and algorithms for calculating determinants, which can be applied in various mathematical and scientific fields.

5. How can determinants be applied in real-world problems?

Determinants have many practical applications in fields such as engineering, physics, and economics. They can be used to solve systems of linear equations, analyze the stability of a system, and calculate areas and volumes in geometry. Determinants are also used in machine learning and data analysis to find patterns and relationships in data.

Back
Top