Matrix representation for closed-form expression for Fibonacci numbers

In summary, the matrix representation for the closed-form expression for Fibonacci numbers is given by the formula: \begin{pmatrix} 1 & 1 \\ 1 & 0\\ \end{pmatrix} ^ n =\begin{pmatrix} F_{n+1} & F_n \\ F_n & F_{n-1}\\ \end{pmatrix}. However, this only works when F_0 = 0 and F_1 = 1. To find the matrix representation for arbitrary starting values, such as F_0 = a and F_1 = b, you can start with \begin{pmatrix}
  • #1
murshid_islam
458
19
TL;DR Summary
Matrix representation for closed-form expression for Fibonacci numbers:
From the wikipedia page for Fibonacci numbers, I got that the matrix representation for closed-form expression for Fibonacci numbers is:

[tex]\begin{pmatrix}
1 & 1 \\
1 & 0\\
\end{pmatrix} ^ n =
\begin{pmatrix}
F_{n+1} & F_n \\
F_n & F_{n-1}\\
\end{pmatrix} [/tex]

That only works when [itex]F_0 = 0[/itex] and [itex]F_1 = 1[/itex]. How can I find the matrix representation for arbitrary starting values, for example, when [itex]F_0 = a[/itex] and [itex]F_1 = b[/itex]?
 
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  • #2
murshid_islam said:
Summary:: Matrix representation for closed-form expression for Fibonacci numbers:

From the wikipedia page for Fibonacci numbers, I got that the matrix representation for closed-form expression for Fibonacci numbers is:

[tex]\begin{pmatrix}
1 & 1 \\
1 & 0\\
\end{pmatrix} ^ n =
\begin{pmatrix}
F_{n+1} & F_n \\
F_n & F_{n-1}\\
\end{pmatrix} [/tex]

That only works when [itex]F_0 = 0[/itex] and [itex]F_1 = 1[/itex]. How can I find the matrix representation for arbitrary starting values, for example, when [itex]F_0 = a[/itex] and [itex]F_1 = b[/itex]?
Start with
[tex]\begin{pmatrix}
a+b & b \\
b & a\\
\end{pmatrix} =

\begin{pmatrix}
F_2 & F_1 \\
F_1 & F_0\\
\end{pmatrix}
[/tex]

Then multiply repeatedly on the left by
[tex]\begin{pmatrix}
1 & 1 \\
1 & 0\\
\end{pmatrix}
[/tex]
 
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  • #3
Though same as post #2,
2022-05-10 14.01.44.jpg
 
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FAQ: Matrix representation for closed-form expression for Fibonacci numbers

1. What is a matrix representation for closed-form expression for Fibonacci numbers?

A matrix representation for closed-form expression for Fibonacci numbers is a way to express the Fibonacci sequence using a matrix. It involves using the properties of matrices to find a closed-form expression for the nth Fibonacci number.

2. How does the matrix representation for closed-form expression for Fibonacci numbers work?

The matrix representation works by using the properties of matrices, such as multiplication and addition, to find a closed-form expression for the nth Fibonacci number. This involves setting up a system of equations and solving for the unknown variables.

3. What are the benefits of using a matrix representation for closed-form expression for Fibonacci numbers?

One benefit of using a matrix representation is that it allows for a more efficient and concise way to express the Fibonacci sequence. It also allows for easier calculations and can be used to find larger Fibonacci numbers without having to go through the entire sequence.

4. Are there any limitations to the matrix representation for closed-form expression for Fibonacci numbers?

One limitation of the matrix representation is that it may not work for all types of sequences, as it relies on the properties of matrices. It also requires some knowledge of linear algebra and may not be as intuitive for those who are not familiar with this topic.

5. How is the matrix representation for closed-form expression for Fibonacci numbers used in real-world applications?

The matrix representation for closed-form expression for Fibonacci numbers can be used in various fields such as computer science, engineering, and finance. It can be used to analyze and predict patterns in data, as well as in the development of algorithms and models for different systems.

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