Is this the Correct General Expression for Matrix Exponentiation?

In summary, the conversation revolved around determining a general expression in terms of k and n for the exponentiation of a matrix and proving its correctness symbolically. The participants discussed using mathematical induction and provided step-by-step explanations and examples. They also discussed the use of matrix inverses and the validity of the formula for all integers. They also complimented each other on their clear and legible work.
  • #1
lapo3399
55
0
Hi,

I have a problem which involves determining a general expression in terms of k and n for the exponentiation of a matrix of the form:

http://img242.imageshack.us/img242/2371/formwu2.png

The general expression I determined was accurate through a separate process (which does not concern this post) was:

http://img118.imageshack.us/img118/7174/genexpdf8.png

I am supposed to prove this expression is correct symbolically (ie I cannot use any examples with inputted k values) and I believe that the following should suffice:

http://img156.imageshack.us/img156/1597/prooffg7.png

Does this seem correct? Also, is there a way that I can prove this without inputting values of n (ie entirely symbolical)?

Any help is greatly appreciated.

Matt
 
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  • #2
Try induction.
 
  • #3
Unfortunately, I am in Grade 12 Discrete and we haven't done mathematical induction yet. I understand the basics of induction, but I have no idea how it should work with matrices and two variables. If anyone could help me with this, I would be grateful.
 
  • #4
You would only being doing induction on the one variable "n". The set-up the the same as usual,

base case: prove X^1 has that form (done)
induction step: assuming your formula for X^n is correct, prove it is correct for X^(n+1). Just use X^(n+1)=X*(X^n) and use your formula for X^n.
 
  • #5
I believe this is what I am supposed to do:
Proving the expression works for X^1, assuming that it is correct for X^n and then proving it is correct for X^(n+1):

http://img301.imageshack.us/img301/6245/proof2yo4.png

However, there seems to be a problem... the last 2 is to the exponent n+1, when it should be to the power of n, shouldn't it?
 
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  • #6
There's some funny business going on there. To the right of your "X^(n+1)=..." it looks like you have X times your expression for X^(n+1), not X^n, since it has k^(n+1)'s all over and a 2^n in front.

Then you had some problems when multiplying by this X two lines later. This may be some kind of "off by one" transcription error, but check it over carefully.
 
  • #7
I see the problem... I did it almost correctly on paper, and the only thing wrong with the equations I made was that I accidentally wrote in the n+1 (which I didnt do on paper :rolleyes: ) In any case, the real problem was that I DID substitute n+1 in for n in the exponent of the 2 when multiplying, so that error carried down.
Thanks for all the help!
p.s. Is there a way to prove it works for all negative integers too? or does this prove that?
 
  • #8
This only proves it for positive n. For negative integers, just invert what you have. This only makes sense when X is invertable of course.
 
  • #9
So do it with n-1 instead of n+1?
 
  • #10
I mean if n is positive, to find X^(-n) just take your formula for X^n and find the matrix inverse.
 
  • #11
I'm sorry but I don't understand - what do I do once I find the inverse? Find if it's true for n-1? And if so, assuming what?
 
  • #12
Once you find the inverse you are done. Invert the formula for X^n and you get a formula for X^(-n). Since you've proven your formula for X^n was true for all positive n=1,2,3,4... this gives you a formula for all negative exponents n=-1,-2,-3... in one fell swoop.

Ok, you're not quite done. It would be nice to show your formula for X^n works when n=0 as well, but that's simple enough to do. Now you will have a formula for X^n that's valid for all integers n.
 
  • #13
Easy enough... Thank you shmoe, you have been most helpful :D!
 
  • #14
Happy to help.

By the way, good show on putting down all your work in a legible way:smile: . Since you are relatively new, you may not be aware that you can use https://www.physicsforums.com/showthread.php?t=8997" here, as in

[tex]X=\left[\begin{array}{cc}k+1 & k-1\\k-1 & k+1\end{array}\right][/tex]

(click on the image to see what you need to type to produce it).

What you did was perfectly fine though! I only point it out as another option.
 
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  • #15
shmoe said:
you may not be aware that you can use https://www.physicsforums.com/showthread.php?t=8997" here

I did, but thanks for reminding me. This is part of a report for school, so I had the equations (well, most of them) previously made in that format anyway. But thanks for letting me know :smile:
 
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FAQ: Is this the Correct General Expression for Matrix Exponentiation?

What is a matrix general expression?

A matrix general expression is a mathematical representation of a matrix in terms of its elements. It is used to describe the relationships between the elements of a matrix and is typically written in the form of a formula or equation.

Why are matrix general expressions important in science?

Matrix general expressions are important in science because they allow researchers to manipulate and analyze large data sets efficiently. They are also used in fields such as physics, engineering, and computer science to model complex systems and solve problems.

What are some common operations that can be performed using matrix general expressions?

Some common operations that can be performed using matrix general expressions include addition, subtraction, multiplication, and inverse operations. These operations are used to transform and combine matrices in order to solve equations and analyze data.

What is the difference between a matrix general expression and a matrix equation?

A matrix general expression is a more general form of a matrix equation. While a matrix equation represents a specific relationship between matrices, a matrix general expression can represent multiple equations and describe the overall structure of a matrix.

How can matrix general expressions be used in data analysis?

Matrix general expressions can be used in data analysis to perform operations on large data sets and extract meaningful information. They can also be used to create visualizations and models to better understand complex data and make predictions.

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