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Use the Extended Euclidean Algorithm to find \(\operatorname{gcd}(f, g)\), for \(f, g \in \mathbb{Z}_{p}[x]\) in each of the following examples (arithmetic in \(\mathbb{Z}_{p}=\\{0, \ldots, p-1\\}\) is done modulo \(p\) ). In each case compute the corresponding polynomials \(s\) and \(t\) such that \(\operatorname{gcd}(f, g)=s f+t g\). (i) \(f=x^{3}+x+1, g=x^{2}+x+1\) for \(p=2\) and \(p=3\). (ii) \(f=x^{4}+x^{3}+x+1, g=x^{3}+x^{2}+x+1\) for \(p=2\) and \(p=3\). (iii) \(f=x^{5}+x^{4}+x^{3}+x+1, g=x^{4}+x^{3}+x^{2}+x+1\) for \(p=5\). (iv) \(f=x^{5}+x^{4}+x^{3}-x^{2}-x+1, g=x^{3}+x^{2}+x+1\) for \(p=3\) and \(p=5\).

Short Answer

Expert verified
Use the Extended Euclidean Algorithm with polynomial division for each polynomial pair. Find GCD, and express it as a combination of given polynomials in each modulo case.

Step by step solution

01

Understanding the Problem

We need to apply the Extended Euclidean Algorithm to polynomials over a finite field \( \mathbb{Z}_{p}[x] \). We have to find the greatest common divisor (GCD) of given polynomials \( f(x) \) and \( g(x) \), and compute polynomials \( s(x) \) and \( t(x) \) such that \( \operatorname{gcd}(f, g) = s(x)f(x) + t(x)g(x) \). We'll solve each sub-problem for the given values of \p\.
02

Example (i) Part 1: For $p=2$

To solve the equation \(f = x^3 + x + 1\) and \(g = x^2 + x + 1\) modulo 2, use polynomial division. Perform \(f \div g\) and determine the quotient \(q(x)\) and remainder \(r(x)\), where \(|r| < |g|\). Continue the Euclidean algorithm by updating \(f \gets g\) and \(g \gets r\), and find \(s(x)\) and \(t(x)\) through back-substitution.
03

Example (i) Part 2: Solve for $p=3$

Repeat the process for \(f = x^3 + x + 1\) and \(g = x^2 + x + 1\) modulo 3. Use polynomial long division to find the quotient and remainder, and then apply the Euclidean algorithm to find the GCD. Use back-substitution to find \(s(x)\) and \(t(x)\).
04

Example (ii) Part 1: For $p=2$

Solve \(f = x^4 + x^3 + x + 1\) and \(g = x^3 + x^2 + x + 1\) modulo 2. Perform polynomial division to obtain the quotient and remainder. Continue the Euclidean reduction to determine the GCD, and perform back-substitution to find \(s(x)\) and \(t(x)\).
05

Example (ii) Part 2: Solve for $p=3$

Apply the Euclidean algorithm for \(f = x^4 + x^3 + x + 1\) and \(g = x^3 + x^2 + x + 1\) modulo 3, using polynomial division to find the GCD \(d(x)\) and decomposing it as \(s(x)f(x) + t(x)g(x)\).
06

Example (iii): Solve for $p=5$

Determine the GCD of \(f = x^5 + x^4 + x^3 + x + 1\) and \(g = x^4 + x^3 + x^2 + x + 1\) modulo 5. Apply polynomial division and continue the Euclidean sequence to identify the GCD. Use the back-substitution approach to determine \(s(x)\) and \(t(x)\).
07

Example (iv) Part 1: For $p=3$

For \(f = x^5 + x^4 + x^3 - x^2 - x + 1\) and \(g = x^3 + x^2 + x + 1\) modulo 3, perform Euclidean division. Continue the algorithm until \(r(x) = 0\) or \(r(x) = \operatorname{gcd}(f,g)\) and determine appropriate coefficients \(s(x)\), \(t(x)\).
08

Example (iv) Part 2: Solve for $p=5$

Repeat using modulo 5 for \(f = x^5 + x^4 + x^3 - x^2 - x + 1\) and \(g = x^3 + x^2 + x + 1\), perform polynomial division, find the GCD using Euclidean Algorithm, and express it as a linear combination of \(f(x)\) and \(g(x)\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Polynomial Division
Polynomial division is a process much like long division with numbers, but it applies to polynomials. When dividing polynomial \( f(x) \) by another polynomial \( g(x) \), it yields a quotient polynomial \( q(x) \) and a remainder polynomial \( r(x) \), such that \( f(x) = q(x)g(x) + r(x) \) and the degree of \( r(x) \) is less than the degree of \( g(x) \). This division is crucial in the Extended Euclidean Algorithm, as it enables us to reduce the problem to smaller polynomials until we find the greatest common divisor (GCD).
To perform polynomial division, align the polynomials by their powers of \( x \). Divide the leading term of \( f(x) \) by the leading term of \( g(x) \) to find the first term of the quotient \( q(x) \). Multiply \( g(x) \) by this term and subtract the result from \( f(x) \). Repeat these steps using the resulting polynomial as the new dividend until the degree of the remainder is less than \( g(x) \).
In situations where arithmetic is over finite fields, coefficients are reduced modulo \( p \). This affects subtraction and multiplication operations in the division process due to constraints imposed by the finite field characteristics.
Greatest Common Divisor (GCD)
The greatest common divisor (GCD) of two polynomials is the highest degree polynomial that divides both polynomials without a remainder. In the context of this exercise, we use the Extended Euclidean Algorithm to find the GCD of polynomials.
The Euclidean Algorithm leverages polynomial division to identify the GCD through a series of divisions. Starting with two polynomials, \( f(x) \) and \( g(x) \), perform division to find the remainder \( r(x) \). Then, replace \( f(x) \) with \( g(x) \) and \( g(x) \) with \( r(x) \), and repeat until the remainder is zero. The GCD is the last non-zero remainder.
The Extended Euclidean Algorithm goes further, finding polynomials \( s(x) \) and \( t(x) \) such that \( \operatorname{gcd}(f, g) = s(x)f(x) + t(x)g(x) \). This is particularly useful for constructing linear combinations, which are handy in various fields of algebra and cryptography.
By understanding each step and computation carried out, students can appreciate the broader algebraic structures involving GCD computation and its applications in solving polynomial equations in finite fields.
Finite Fields
In mathematics, a finite field is a field that contains a finite number of elements. A common example is \( \mathbb{Z}_{p} \), the integers modulo \( p \), where \( p \) is a prime number. Finite fields are pivotal in the study of algebraic structures and computations like polynomial division and the Extended Euclidean Algorithm.
When working over a finite field like \( \mathbb{Z}_{p} \), polynomials are handled similarly to integers: coefficients are reduced modulo \( p \). This process changes how we interpret addition, subtraction, and multiplication, essentially transforming them into operations that wrap around upon reaching \( p \).
Finite fields play a crucial role in the given exercise as they dictate the arithmetic properties of the polynomials involved. When finding the GCD of two polynomials over a finite field, each operation within polynomial division must respect the rules of the finite field. This context forces students to adjust their calculation steps and reinforces the importance of modular arithmetic in polynomial algebra.
Overall, finite fields are not just theoretical constructs but practical tools enabling vital operations across various domains like coding theory, cryptography, and digital communications.

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Most popular questions from this chapter

Show that \(\operatorname{gcd}(a, b)=1\) and \(\operatorname{gcd}(a, c)=1\) imply that \(\operatorname{gcd}(a, b c)=1\).

Are there \(s, t \in \mathbb{Z}\) such that \(24 s+14 t=1\) ?

Let \(R\) be a Euclidean domain, \(a, b, c \in R\), and \(\operatorname{gcd}(a, b)=1\). Prove the following: (i) \(a|b c \Longrightarrow a| c\), (ii) \(a \mid c\) and \(b|c \Longrightarrow a b| c\).

For each of the following pairs of integers, find their greatest common divisor using the Euclidean Algorithm: (i) 34,21 ; (ii) 136,51 ; (iii) 481,325 ; (iv) \(8771,3206 .\)

Let \(x_{1}, x_{2}, \ldots\) be countably many indeterminates over \(\mathbb{Z}, R=\mathbb{Z}\left[x_{1}, x_{2}, \ldots\right]\), $$ Q_{i}=\left(\begin{array}{cc} 0 & 1 \\ 1 & x_{i} \end{array}\right) \in R^{2 \times 2} $$ for \(i \geq 1\), and \(R_{i}=Q_{i} \cdots Q_{1}\). We define the \(i\) th continuant polynomial \(c_{i} \in R\) recursively by \(c_{0}=0\), \(c_{1}=1\), and \(c_{i+1}=c_{i-1}+x_{i} c_{i}\) for \(i \geq 1\). Then \(c_{i} \in \mathbb{Z}\left[x_{1}, \ldots, x_{i-1}\right]\) for \(i \geq 1\). (i) List the first 10 continuant polynomials. (ii) Let \(T\) be the "shift homomorphism" \(T x_{i}=x_{i+1}\) for \(i \geq 1\). Show that \(c_{i+2}\left(0, x_{1}, x_{2}, \ldots, x_{i}\right)=T c_{i}\) for \(i \geq 0\). (iii) Show that \(R_{i}=\left(\begin{array}{cc}T c_{i-1} & c_{i} \\ T_{c_{i}} & c_{i+1}\end{array}\right)\) for \(i \geq 1\). (iv) Show that \(\operatorname{det} R_{i}=(-1)^{i}\), and conclude that \(\operatorname{gcd}\left(c_{i}, c_{i+1}\right)=1\) for \(i \geq 0\). (v) Let \(D\) be a Euclidean domain and \(r_{i}, q_{i}, s_{i}, t_{i} \in D\) for \(0 \leq i \leq \ell\) the results of the traditional Extended Euclidean Algorithm for \(r_{0}, r_{1}\). Show that $$ \begin{aligned} s_{i} &=c_{i-1}\left(-q_{2}, \ldots,-q_{i-1}\right)=(-1)^{i} c_{i-1}\left(q_{2}, \ldots, q_{i-1}\right) \\ t_{i} &=c_{i}\left(-q_{1}, \ldots,-q_{i-1}\right)=(-1)^{i-1} c_{i}\left(q_{1}, \ldots, q_{i-1}\right) \end{aligned} $$ for \(1 \leq i \leq \ell\) (vi) Write a MAPLE program that implements the traditional Extended Euclidean Algorithm and additionally computes all continuants \(c_{i}\left(q_{\ell-i+2}, \ldots, q_{\ell}\right)\) for \(r_{0}=x^{20}\) and \(r_{1}=x^{19}+2 x^{18}+x\) in \(\mathbb{Q}[x]\), where \(q_{1}, \ldots, q_{\ell}\) are the quotients in the traditional Extended Euclidean Algorithm.

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