Problem 16
Question
Suppose we are given \(\alpha_{1}, \ldots, \alpha_{k} \in \mathbb{Z}_{n}^{*} .\) Show how to compute \(\alpha_{1}^{-1}, \ldots, \alpha_{k}^{-1}\) by computing one multiplicative inverse modulo \(n,\) and performing fewer than \(3 k\) multiplications modulo \(n .\) This result is useful, as in practice, if \(n\) is several hundred bits long, it may take \(10-20\) times longer to compute multiplicative inverses modulo \(n\) than to multiply modulo \(n\).
Step-by-Step Solution
Verified Answer
Question: Compute the multiplicative inverses of a given set of integers in the group \(\mathbb{Z}_n^*\) using a minimal number of multiplications and only one inverse modulo operation.
Answer: To compute the multiplicative inverses of the integers with minimal multiplications and one inverse modulo operation, follow these steps:
1. Calculate the product of all given integers modulo \(n\) (involving \(k-1\) multiplications).
2. Compute the modulo inverse of the calculated product (single inverse modulo operation).
3. Calculate individual inverses by multiplying the inverse from step 2 with the corresponding integer (involving \(2(k-1)\) multiplications).
This approach computes the inverses with fewer than \(3k\) multiplications modulo \(n\).
1Step 1: Calculate the product of all integers
Compute the product of all input integers \(\alpha_1, \ldots, \alpha_k\) modulo \(n\). Let \(P =\alpha_1 \alpha_2 \ldots \alpha_k \pmod{n}\). This step involves \(k-1\) multiplications modulo \(n\).
2Step 2: Compute the modulo inverse of product P
Find the multiplicative inverse of \(P\) modulo \(n\). Let \(P^{-1}\) be the inverse of \(P\) such that \((P \cdot P^{-1})\pmod{n} \equiv 1\). This step involves a single inverse operation, which takes longer than multiplication.
3Step 3: Compute individual inverses of input integers
Calculate the inverses \(\alpha_1^{-1}, \ldots, \alpha_k^{-1}\) by multiplying \(P^{-1}\) with each integer, except for the one whose inverse is needed. For example, for \(\alpha_1^{-1}\), multiply \(P^{-1}\) with \(\alpha_2 \ldots \alpha_k\) modulo \(n\). We can avoid unnecessary multiplications by observing that, for \(1 \leq i \leq k\), \(\alpha_i^{-1} = P^{-1} \cdot \frac{P}{\alpha_i} \pmod{n}\).
In this step, we perform \(2(k-1)\) multiplications modulo \(n\).
So we compute \(\alpha_1^{-1}, \ldots, \alpha_k^{-1}\) using \((k-1) + (2(k-1)) = 3k-3\) multiplications modulo \(n\). Thus, we compute all \(\alpha_i^{-1}\) elements with fewer than \(3k\) multiplications modulo \(n\).
Key Concepts
Modular ArithmeticMultiplicative InverseInteger Modulo Operations
Modular Arithmetic
Imagine a clock with a set number of hours; this is the core idea of modular arithmetic. It deals with integers in a cyclic manner, where numbers 'wrap around' after reaching a certain value—the modulus. For instance, when we look at time on a 12-hour clock, after 12 we start at 1 again. In mathematics, this behavior is described with a modulo operation.
For modular arithmetic, each time we reach the threshold - the modulus - we reset and continue counting from zero. This defines a complete system of remainders when integers are divided by the modulus. For example, in modulo 5 arithmetic, the remainders could only be 0, 1, 2, 3, or 4. If we take the number 7 and divide it by 5, the remainder is 2, which we express as \( 7 \equiv 2 \pmod{5} \).
What makes modular arithmetic exciting and useful is its application in various mathematical and real-world scenarios, ranging from computer science concepts, such as cryptography, to everyday uses, such as determining which day of the week a future date will fall on.
For modular arithmetic, each time we reach the threshold - the modulus - we reset and continue counting from zero. This defines a complete system of remainders when integers are divided by the modulus. For example, in modulo 5 arithmetic, the remainders could only be 0, 1, 2, 3, or 4. If we take the number 7 and divide it by 5, the remainder is 2, which we express as \( 7 \equiv 2 \pmod{5} \).
What makes modular arithmetic exciting and useful is its application in various mathematical and real-world scenarios, ranging from computer science concepts, such as cryptography, to everyday uses, such as determining which day of the week a future date will fall on.
Multiplicative Inverse
The multiplicative inverse is a concept where for any non-zero number 'a', there exists another number 'b' such that \( a \times b = 1 \). It's akin to finding a reciprocal in basic arithmetic - where you flip a fraction over. In modular arithmetic, the multiplicative inverse takes on a similar role.
Let's say, we have a number 'a' and we're operating modulo 'n'. The multiplicative inverse of 'a', denoted as \( a^{-1} \), satisfies the equation \( a \times a^{-1} \equiv 1 \pmod{n} \). It is important to note that multiplicative inverses may not exist for every number within a given modulus. In fact, an inverse exists only if 'a' and 'n' are coprime; in other words, their greatest common divisor is 1. Finding this inverse is crucial in many cryptographic algorithms where encoding and decoding depend on these mathematical relationships.
Let's say, we have a number 'a' and we're operating modulo 'n'. The multiplicative inverse of 'a', denoted as \( a^{-1} \), satisfies the equation \( a \times a^{-1} \equiv 1 \pmod{n} \). It is important to note that multiplicative inverses may not exist for every number within a given modulus. In fact, an inverse exists only if 'a' and 'n' are coprime; in other words, their greatest common divisor is 1. Finding this inverse is crucial in many cryptographic algorithms where encoding and decoding depend on these mathematical relationships.
Integer Modulo Operations
Integer modulo operations are the bread and butter of performing arithmetic in a modular system. These operations determine the remainder when an integer is divided by a specified modulus. Beyond just finding remainders, these operations are critical in maintaining the 'cyclical' nature of modular arithmetic.
For example, if we add two numbers in a given modulus, the result must also conform to the same set of possible remainders. When working with calculations such as multiplicative inverses, for instance, we perform operations like multiplication and division under this modular context. This allows us to solve problems that could be very complex using traditional arithmetic in a much simpler and more elegant manner. Integer modulo operations not only underpin essential mathematical concepts but also are pivotal in fields like cryptography, where operations need to be reversible only under very specific circumstances.
Familiarity with performing and applying these operations is crucial for anyone delving into discrete mathematics, computational fields, and even for understanding how computers manage numbers with a fixed amount of memory.
For example, if we add two numbers in a given modulus, the result must also conform to the same set of possible remainders. When working with calculations such as multiplicative inverses, for instance, we perform operations like multiplication and division under this modular context. This allows us to solve problems that could be very complex using traditional arithmetic in a much simpler and more elegant manner. Integer modulo operations not only underpin essential mathematical concepts but also are pivotal in fields like cryptography, where operations need to be reversible only under very specific circumstances.
Familiarity with performing and applying these operations is crucial for anyone delving into discrete mathematics, computational fields, and even for understanding how computers manage numbers with a fixed amount of memory.
Other exercises in this chapter
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