Problem 98
Question
If 7 divides \(32^{3211}\), the remainder is (A) 2 (B) 4 (C) 8 (D) none of these
Step-by-Step Solution
Verified Answer
(A) 2
1Step 1: Understanding the Problem
The problem asks us to find the remainder when \(32^{3211}\) is divided by 7. This can be solved by using the properties of modular arithmetic.
2Step 2: Simplifying the Base Modulo 7
First, we simplify the base 32 modulo 7. Divide 32 by 7, we get 32 \(\equiv\) 4 (mod 7), because 32 divided by 7 leaves a remainder of 4.
3Step 3: Applying Fermat's Little Theorem
Fermat's Little Theorem states that if \(p\) is a prime number and \(a\) is an integer not divisible by \(p\), then \(a^{p-1} \equiv 1\) (mod \(p\)). Here, \(a = 4\) and \(p = 7\), so \(4^6 \equiv 1\) (mod 7).
4Step 4: Reducing the Exponent
Now, reduce the exponent 3211 in \(4^{3211}\) using the fact 3211 mod 6 equals 5 (since 3211 divided by 6 gives a remainder of 5). Hence, \(4^{3211} \equiv 4^5\) (mod 7).
5Step 5: Calculating \(4^5\) Modulo 7
Calculate \(4^5\). We find that \(4^5 = 1024\). Now, calculate \(1024\) mod 7. Divide 1024 by 7, the remainder is 2. Thus, \(4^5 \equiv 2\) (mod 7).
6Step 6: Concluding the Answer
The remainder when \(32^{3211}\) is divided by 7 is 2. Therefore, the correct answer choice is (A) 2.
Key Concepts
Fermat's Little TheoremExponentiation ModuloRemainder Theorem
Fermat's Little Theorem
Fermat's Little Theorem is a foundational concept in number theory and modular arithmetic. It helps simplify complex calculations involving powers and remainders, which appear in exercises like the one provided. The theorem states that if \( p \) is a prime number and \( a \) is an integer not divisible by \( p \), then:
In the example provided, 4 is raised to a power, and since studying powers of numbers is often complex, we apply Fermat's theorem to simplify the computation process. By knowing that \( 4^6 \equiv 1 \pmod{7} \), we reduce the problem's complexity by recognizing repetitive cycles in the powers of 4.
- \( a^{p-1} \equiv 1 \pmod{p} \)
In the example provided, 4 is raised to a power, and since studying powers of numbers is often complex, we apply Fermat's theorem to simplify the computation process. By knowing that \( 4^6 \equiv 1 \pmod{7} \), we reduce the problem's complexity by recognizing repetitive cycles in the powers of 4.
Exponentiation Modulo
Exponentiation modulo addresses the calculation of large powers with respect to their remainders when divided by a number. In simpler terms, it is the operation of finding what a large power of a number equals when divided by another number until there is no remainder. This is particularly useful in computer science and cryptography.
For example, consider calculating \( 32^{3211} \mod 7 \). Direct exponentiation would be computationally impractical due to the very large size of the power. Instead, we use smaller steps, reducing bases and exponents using modular properties:
For example, consider calculating \( 32^{3211} \mod 7 \). Direct exponentiation would be computationally impractical due to the very large size of the power. Instead, we use smaller steps, reducing bases and exponents using modular properties:
- Simplify the base first, such as finding \( 32 \equiv 4 \pmod{7} \).
- Apply rules like Fermat's Little Theorem to reduce the exponent size, as shown by reducing \( 3211 \mod 6 \) to simplify calculations to just \( 4^5 \).
- Finally, using smaller mod calculations like finding \( 1024 \mod 7 \) to conclude with the remainder.
Remainder Theorem
The Remainder Theorem plays a crucial role in modular arithmetic, especially when dividing numbers and understanding the notion of 'remainders' better. When a number, called the dividend, is divided by another number, the divisor, we talk about how much is left over after the division process, which is called the remainder.
When solving problems involving modular arithmetic, as seen in the given exercise, this theorem lets us find straightforward solutions for what would otherwise be complicated polynomial calculations. It involves:
When solving problems involving modular arithmetic, as seen in the given exercise, this theorem lets us find straightforward solutions for what would otherwise be complicated polynomial calculations. It involves:
- Understanding how numbers behave under division and finding similar patterns.
- Using patterns and properties, like those in Fermat's Little Theorem, to simplify solutions.
- Applying these patterns so that instead of complex calculations, you break down tasks into finding simple remainders.
Other exercises in this chapter
Problem 96
\(\sum_{r=0}^{n} \frac{1}{(2 r) !(2 n-2 r) !}=\) (A) \(\frac{2^{2 n}}{(2 n) !}\) (B) \(\frac{2^{2 n-1}}{(2 n) !}\) (C) \(\frac{2^{2 n+1}}{(2 n) !}\) (D) none of
View solution Problem 97
The coefficient of \(x^{\mathrm{n}}\) in polynomial \(\left(x+{ }^{2 \mathrm{n}+1} C_{0}\right)\left(x+{ }^{2 \mathrm{n}+1} C_{1}\right)\left(x+{ }^{2 \mathrm{n
View solution Problem 100
If the 4 th term in the expansion of \(\left(2+\frac{3}{8} x\right)^{10}\) has the maximum numerical value, then the range of values of \(x\) is (A) \(-2 \leq x
View solution Problem 101
Three consecutive binomial coefficients can never be in (A) G.P. (B) H.P. (C) A.P. (D) A.G.P.
View solution