Undergrad Matrix representation for closed-form expression for Fibonacci numbers

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The matrix representation for Fibonacci numbers is established as the power of the matrix \(\begin{pmatrix} 1 & 1 \\ 1 & 0 \end{pmatrix}\), yielding Fibonacci values when starting from F_0 = 0 and F_1 = 1. To adapt this for arbitrary starting values, such as F_0 = a and F_1 = b, the initial matrix can be modified to \(\begin{pmatrix} a+b & b \\ b & a \end{pmatrix}\). This matrix can then be multiplied repeatedly on the left by the Fibonacci matrix to generate subsequent Fibonacci-like values. The discussion emphasizes the need for this adjustment to accommodate different initial conditions. Understanding this transformation is crucial for applying matrix methods to generalized Fibonacci sequences.
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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:

\begin{pmatrix}<br /> 1 &amp; 1 \\<br /> 1 &amp; 0\\<br /> \end{pmatrix} ^ n =<br /> \begin{pmatrix}<br /> F_{n+1} &amp; F_n \\<br /> F_n &amp; F_{n-1}\\<br /> \end{pmatrix}

That only works when F_0 = 0 and F_1 = 1. How can I find the matrix representation for arbitrary starting values, for example, when F_0 = a and F_1 = b?
 
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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:

\begin{pmatrix}<br /> 1 &amp; 1 \\<br /> 1 &amp; 0\\<br /> \end{pmatrix} ^ n =<br /> \begin{pmatrix}<br /> F_{n+1} &amp; F_n \\<br /> F_n &amp; F_{n-1}\\<br /> \end{pmatrix}

That only works when F_0 = 0 and F_1 = 1. How can I find the matrix representation for arbitrary starting values, for example, when F_0 = a and F_1 = b?
Start with
\begin{pmatrix}<br /> a+b &amp; b \\<br /> b &amp; a\\<br /> \end{pmatrix} =<br /> <br /> \begin{pmatrix}<br /> F_2 &amp; F_1 \\<br /> F_1 &amp; F_0\\<br /> \end{pmatrix}<br />

Then multiply repeatedly on the left by
\begin{pmatrix}<br /> 1 &amp; 1 \\<br /> 1 &amp; 0\\<br /> \end{pmatrix} <br />
 
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Though same as post #2,
2022-05-10 14.01.44.jpg
 
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I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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