Problem 36
Question
In Exercises 25 - 30, prove the inequality for the indicated integer values of \( n \). \( \left(a + bi\right)^n \) and \( \left(a - bi\right)^n \) are complex conjugates for all \( n \ge 1 \).
Step-by-Step Solution
Verified Answer
After applying the binomial theorem to the given expressions and rewriting the result to show clear real and imaginary parts, it's been shown that the real components of \( \left(a + bi\right)^n \) and \( \left(a - bi\right)^n \) remained the same while the imaginary parts were opposite. Hence, they are complex conjugates.
1Step 1: The Binomial Theorem
The Binomial Theorem states that \( (a+bi)^n = \sum_{k=0}^{n} \binom {n}{k} (a^{n-k})(b^k)(i^k) \) and \( (a-bi)^n = \sum_{k=0}^{n} \binom {n}{k} (a^{n-k})(-b^k)(i^k) \). This formula allows us to expand the expression in the original problem.
2Step 2: Expand using The Binomial Theorem
Using the binomial theorem to expand the power, we obtain for \( (a+bi)^n = a^n + \binom {n}{1} a^{(n-1)}bi - \binom {n}{2} a^{(n-2)}b^2 - \binom {n}{3} a^{(n-3)}b^3i + ... \) and \( (a-bi)^n = a^n - \binom {n}{1} a^{(n-1)}bi - \binom {n}{2} a^{(n-2)}b^2 + \binom {n}{3} a^{(n-3)}b^3i - ... \). Notice that \( i^1 = i, i^2 = -1, i^3 = -i, i^4 = 1 \) and it repeats. The terms above can be organized more concisely noting that facts.
3Step 3: Simplifying
We can simplify real and imaginary parts separately. We can see that the resulting expressions have the same real parts and Imaginary parts with opposite signs, which means that \( \left(a + bi\right)^n \) and \( \left(a - bi\right)^n \) are indeed complex conjugates.
Key Concepts
Binomial TheoremComplex NumbersProofs in MathematicsPower of Complex Numbers
Binomial Theorem
The Binomial Theorem is a cornerstone of algebra that allows us to expand expressions raised to a power. Specifically, when we have an expression of the form \( (x + y)^n \), where \( n \) is a non-negative integer, the theorem provides a formula to express this expansion as a sum of terms involving coefficients, \( x \) raised to various powers, and \( y \) also raised to various powers.
These coefficients can be found using the binomial coefficients, denoted as \( \binom{n}{k} \) and they follow the pattern known as 'Pascal's Triangle'. Each term in the expansion has a binomial coefficient, the first element of the term raised to a decreasing power, and the second element raised to an increasing power, starting from zero. This rule continues until the power of the second element reaches \( n \) and the power of the first element becomes zero.
To put this into context, let's take the binomial expression \( (a + b)^2 \), which can be expanded as \( a^2 + 2ab + b^2 \) according to the Binomial Theorem. This process of expansion simplifies complex polynomial calculations and is particularly helpful in expanding powers of complex numbers.
These coefficients can be found using the binomial coefficients, denoted as \( \binom{n}{k} \) and they follow the pattern known as 'Pascal's Triangle'. Each term in the expansion has a binomial coefficient, the first element of the term raised to a decreasing power, and the second element raised to an increasing power, starting from zero. This rule continues until the power of the second element reaches \( n \) and the power of the first element becomes zero.
To put this into context, let's take the binomial expression \( (a + b)^2 \), which can be expanded as \( a^2 + 2ab + b^2 \) according to the Binomial Theorem. This process of expansion simplifies complex polynomial calculations and is particularly helpful in expanding powers of complex numbers.
Complex Numbers
Complex numbers are an extension of the real numbers and are fundamental in advanced mathematics and engineering. A complex number is represented in the form \( a + bi \), where \( a \) and \( b \) are real numbers, and \( i \) is the imaginary unit, defined as the square root of -1. The real part of a complex number is \( a \), and the imaginary part is \( bi \).
The beauty of complex numbers lies in their ability to provide a comprehensive number system that includes solutions to polynomial equations that otherwise have no real solutions, such as \( x^2 + 1 = 0 \). Moreover, complex numbers can be added, subtracted, multiplied, and divided, much like real numbers, but with the unique element of the imaginary unit enabling a new dimension of calculation.
Just like in the step-by-step solution, when dealing with powers of complex numbers, the Binomial Theorem becomes a handy tool to work through expressions systematically and to prove properties such as complex conjugates arising from powers of complex numbers.
The beauty of complex numbers lies in their ability to provide a comprehensive number system that includes solutions to polynomial equations that otherwise have no real solutions, such as \( x^2 + 1 = 0 \). Moreover, complex numbers can be added, subtracted, multiplied, and divided, much like real numbers, but with the unique element of the imaginary unit enabling a new dimension of calculation.
Just like in the step-by-step solution, when dealing with powers of complex numbers, the Binomial Theorem becomes a handy tool to work through expressions systematically and to prove properties such as complex conjugates arising from powers of complex numbers.
Proofs in Mathematics
Proofs are the essence of mathematics; they are rigorous arguments used to verify the truth of statements. In mathematics, nothing is taken at face value without proof – a statement must be shown to follow logically from axioms or other proven statements.
There are various types of proofs, such as direct proof, proof by induction, proof by contradiction, and many more. Each of these has a unique structure and approach suited to specific kinds of problems. In the case of showing that \( (a + bi)^n \) and \( (a - bi)^n \) are complex conjugates for all \( n \), a direct proof using the Binomial Theorem is both sufficient and enlightening.
The proof not only demonstrates the power of algebraic manipulation and understanding of complex numbers but also solidifies the concept within a concrete example. By expanding and simplifying as shown in the solution steps, we arrive at a conclusion that follows logically from the premises; this logical flow is the crux of proofs in mathematics.
There are various types of proofs, such as direct proof, proof by induction, proof by contradiction, and many more. Each of these has a unique structure and approach suited to specific kinds of problems. In the case of showing that \( (a + bi)^n \) and \( (a - bi)^n \) are complex conjugates for all \( n \), a direct proof using the Binomial Theorem is both sufficient and enlightening.
The proof not only demonstrates the power of algebraic manipulation and understanding of complex numbers but also solidifies the concept within a concrete example. By expanding and simplifying as shown in the solution steps, we arrive at a conclusion that follows logically from the premises; this logical flow is the crux of proofs in mathematics.
Power of Complex Numbers
When raising complex numbers to a power, the process is not as straightforward as with real numbers. However, the Binomial Theorem provides an excellent method for working with such powers. Each term in the binomial expansion will include powers of \( i \) — the imaginary unit — which follows a specific pattern: \( i^2 = -1 \), \( i^3 = -i \), \( i^4 = 1 \) and so on, repeating every four powers.
When computing powers of complex numbers, it is essential to recognize and utilize this pattern. As seen in the exercise, when simplifying the expansion of \( (a + bi)^n \), we apply the cyclical behavior of \( i \) to determine the real and imaginary parts. By doing so, we can navigate the complexities that arise from combinations of binomial coefficients and the imaginary unit, ultimately finding the powers of complex numbers and verifying properties such as the existence of complex conjugates.
This approach is not only helpful for theoretical proofs but is also practical in many fields, such as electrical engineering and quantum physics, where complex numbers play a critical role.
When computing powers of complex numbers, it is essential to recognize and utilize this pattern. As seen in the exercise, when simplifying the expansion of \( (a + bi)^n \), we apply the cyclical behavior of \( i \) to determine the real and imaginary parts. By doing so, we can navigate the complexities that arise from combinations of binomial coefficients and the imaginary unit, ultimately finding the powers of complex numbers and verifying properties such as the existence of complex conjugates.
This approach is not only helpful for theoretical proofs but is also practical in many fields, such as electrical engineering and quantum physics, where complex numbers play a critical role.
Other exercises in this chapter
Problem 36
In Exercises 35 - 38, evaluate \( _nP_r \) using a graphing utility \( _{100}P_5 \)
View solution Problem 36
In Exercises 19 - 40, use the Binomial Theorem to expand and simplify the expression. \( \left(\dfrac{1}{x} + 2y\right)^6 \)
View solution Problem 36
In Exercises 35 - 44, write an expression for the \( n \)th term of the geometric sequence. Then find the indicated term. \( a_1 = 5, r = \dfrac{7}{2}, n = 8 \)
View solution Problem 36
In Exercises 33 - 40, write the first five terms of the arithmetic sequence. \( a_1 = 16.5, d = 0.25 \)
View solution