Electronics Engineering  ·  Level 6
Engineering Mathematics I
Chapter 5: Carry out binomial expansions
📚 5 Topics
⚑ What you will be able to do

By the end of this chapter, you will be able to:

  • derive power series of simple functions using binomial expansion correctly
  • estimate errors from small changes accurately using binomial expansion
  • estimate roots of numbers correctly using binomial expansion

These skills will help you solve practical engineering problems with confidence and precision in your electronics work.

Compiled by: Peter Kiprono

Electronics engineers often encounter binomial expressions when analyzing circuits, signal processing algorithms, and error approximations. Understanding how to expand these expressions quickly and accurately is crucial for simplifying complex algebraic terms encountered in filter design, amplifier gain calculations, and probability estimates in digital communications. This chapter introduces the binomial theorem, essential notation, and the use of factorials to calculate binomial coefficients, which form the foundation for carrying out binomial expansions in electronics engineering problems.

5.1 Basic concepts of binomial theorem

A binomial is an algebraic expression with two terms, such as a + b or 1 + x. The binomial theorem gives a way to write the power of a binomial, (a + b)ⁿ, as a sum of terms without multiplying the brackets out one by one. The sizes of the terms are decided by numbers called binomial coefficients, and these in turn are built from factorials. In electronics the theorem is used to approximate expressions such as (1 + x)ⁿ for small x, for example when a component value differs slightly from its nominal value. This topic covers the notation, factorials and binomial coefficients that the expansion is built from.

5.1.1 Binomial expressions and notation

A binomial expression is a sum or difference of two terms. A power of a binomial, (a + b)ⁿ, with n a whole number, is expanded by the binomial theorem:

(a + b)ⁿ = C(n, 0) aⁿ + C(n, 1) aⁿ⁻¹ b + C(n, 2) aⁿ⁻² b² + … + C(n, n) bⁿ

In summation notation this is written (a + b)ⁿ = Σ C(n, k) aⁿ⁻ᵏ bᵏ, with the sum taken for k = 0, 1, 2, … , n. The symbol Σ means "the sum of", and k is the counter that runs through the terms.

C(n, k) is the binomial coefficient. It is also written nCk, nCr or "n choose k", and it counts the number of ways to choose k items from n. Its calculation is explained under factorials and binomial coefficients below.

The structure of the expansion can be read directly from the formula.

  • There are n + 1 terms.
  • In every term the power of a and the power of b add up to n.
  • The power of a falls from n to 0 and the power of b rises from 0 to n as k goes from 0 to n.
  • The coefficients are the same when read from either end of the expansion.

If the second term is subtracted, as in (a − b)ⁿ, the signs of the terms alternate, because b is replaced by −b.

Example 1: Expand (1 + x)⁴.

Here a = 1, b = x and n = 4.

k = 0: C(4, 0) × 1⁴ × x⁰ = 1

k = 1: C(4, 1) × 1³ × x = 4x

k = 2: C(4, 2) × 1² × x² = 6x²

k = 3: C(4, 3) × 1 × x³ = 4x³

k = 4: C(4, 4) × 1⁰ × x⁴ = x⁴

Answer: (1 + x)⁴ = 1 + 4x + 6x² + 4x³ + x⁴.

Example 2: Expand (2 + y)².

Here a = 2, b = y and n = 2.

k = 0: C(2, 0) × 2² = 4

k = 1: C(2, 1) × 2 × y = 4y

k = 2: C(2, 2) × y² = y²

Answer: (2 + y)² = 4 + 4y + y².

Example 3: Expand (2 + 0.5)³ and find its value.

Here a = 2, b = 0.5 and n = 3.

k = 0: 2³ = 8

k = 1: 3 × 2² × 0.5 = 6

k = 2: 3 × 2 × 0.5² = 1.5

k = 3: 0.5³ = 0.125

Sum: 8 + 6 + 1.5 + 0.125 = 15.625

Answer: (2 + 0.5)³ = 15.625, which agrees with 2.5³ = 15.625.

5.1.2 Factorials and their use in binomial coefficients

The factorial of a whole number n, written n!, is the product of all the whole numbers from n down to 1.

n! = n × (n − 1) × (n − 2) × … × 2 × 1

By definition 0! = 1. A factorial can be built from the one before it, n! = n × (n − 1)!, which is how the table below is filled.

n 0 1 2 3 4 5 6 7 8 9 10
n! 1 1 2 6 24 120 720 5040 40 320 362 880 3 628 800

Factorials grow very quickly. The binomial coefficient is written with factorials as

C(n, k) = n! / (k! (n − k)!), for 0 ≤ k ≤ n

Because n! contains (n − k)! as a factor, most of the product cancels, and the coefficient is quicker to find in the shortened form

C(n, k) = [n × (n − 1) × … × (n − k + 1)] / k!

with exactly k factors in the top line. For example, C(10, 3) = (10 × 9 × 8) / (3 × 2 × 1) = 720 / 6 = 120.

Example 1: Calculate 5!.

5! = 5 × 4 × 3 × 2 × 1 = 120

Answer: 5! = 120.

Example 2: Calculate C(5, 2).

C(5, 2) = 5! / (2! × 3!) = 120 / (2 × 6) = 120 / 12 = 10

Answer: C(5, 2) = 10.

Example 3: Calculate C(7, 3).

C(7, 3) = 7! / (3! × 4!) = 5040 / (6 × 24) = 5040 / 144 = 35

Answer: C(7, 3) = 35. A technician who has to choose 3 test points out of 7 can do so in 35 different ways.

Example 4: Calculate C(10, 0).

C(10, 0) = 10! / (0! × 10!) = 10! / (1 × 10!) = 1

Answer: C(10, 0) = 1.

Example 5: Calculate C(8, 2) with the shortened form.

C(8, 2) = (8 × 7) / (2 × 1) = 56 / 2 = 28

Answer: C(8, 2) = 28.

5.1.3 Binomial Coefficients

The binomial coefficients are the numbers that multiply the terms in a binomial expansion. They can be found from factorials, from combinations, or from Pascal's triangle. The coefficients have these properties, which are used to check results and to save work.

  • Ends: C(n, 0) = 1 and C(n, n) = 1.
  • Second term: C(n, 1) = n and C(n, n − 1) = n.
  • Symmetry: C(n, k) = C(n, n − k).
  • Sum: C(n, 0) + C(n, 1) + … + C(n, n) = 2ⁿ, which is the value of (1 + 1)ⁿ.
  • Addition rule: C(n, k) + C(n, k + 1) = C(n + 1, k + 1), which is the rule that builds Pascal's triangle.

5.1.3.1 Definition and calculation using combinations (nCr)

A combination is a selection of r items from n different items when the order does not matter. The number of such selections is written nCr, and it equals the binomial coefficient C(n, r).

nCr = n! / (r! (n − r)!)

Selecting r items to keep is the same as selecting n − r items to leave out, which is why nCr = nC(n − r). Calculators have an nCr key that gives the value directly.

The coefficient of bᵏ in (a + b)ⁿ is nCk, because each term of the expansion arises by choosing b from k of the n brackets and a from the others.

Example 1: A stores clerk can take 2 different resistor values from a set of 6. How many different pairs are possible?

6C2 = 6! / (2! × 4!) = (6 × 5) / (2 × 1) = 15

Answer: there are 15 pairs.

Example 2: Verify the symmetry 6C2 = 6C4.

6C4 = 6! / (4! × 2!) = 720 / (24 × 2) = 15

Answer: 6C2 = 6C4 = 15.

Example 3: Verify that the coefficients for n = 3 add up to 2³.

3C0 + 3C1 + 3C2 + 3C3 = 1 + 3 + 3 + 1 = 8

Answer: the sum is 8 = 2³.

Example 4: Calculate 12C3.

12C3 = (12 × 11 × 10) / (3 × 2 × 1) = 1320 / 6 = 220

Answer: 12C3 = 220.

5.1.3.2 Pascal's Triangle as a tool for finding binomial coefficients

Pascal's triangle is a triangular array in which each row gives the binomial coefficients for one value of n. Every row begins and ends with 1, and every other number is the sum of the two numbers diagonally above it. Rows and entries are counted from 0, so the entry in row n at position k is C(n, k), and row n gives the coefficients of (a + b)ⁿ.

Row 0:                 1
Row 1:               1   1
Row 2:             1   2   1
Row 3:           1   3   3   1
Row 4:         1   4   6   4   1
Row 5:       1   5  10  10   5   1
Row 6:     1   6  15  20  15   6   1
Row 7:   1   7  21  35  35  21   7   1
Row 8: 1   8  28  56  70  56  28   8   1

The triangle is quick for small n. For large n, or for a single coefficient, the factorial formula is faster. The numbers in row n add up to 2ⁿ.

Example 1: Use Pascal's triangle to find C(6, 3).

Row 6 is 1, 6, 15, 20, 15, 6, 1. Counting from position 0, the entry at position 3 is 20.

Answer: C(6, 3) = 20, which agrees with (6 × 5 × 4) / (3 × 2 × 1) = 120 / 6 = 20.

Example 2: Use Pascal's triangle to find C(4, 1).

Row 4 is 1, 4, 6, 4, 1, and the entry at position 1 is 4.

Answer: C(4, 1) = 4, which agrees with 4! / (1! × 3!) = 24 / 6 = 4.

Example 3: Write the coefficients of the expansion of (a + b)⁶.

Row 6 is 1, 6, 15, 20, 15, 6, 1.

Answer: (a + b)⁶ = a⁶ + 6a⁵b + 15a⁴b² + 20a³b³ + 15a²b⁴ + 6ab⁵ + b⁶.

Example 4: Build row 7 from row 6 and check that its sum is 2⁷.

Row 7 starts with 1. The next entries are 1 + 6 = 7, 6 + 15 = 21, 15 + 20 = 35, 20 + 15 = 35, 15 + 6 = 21, 6 + 1 = 7, and the row ends with 1.

Answer: row 7 is 1, 7, 21, 35, 35, 21, 7, 1, and the sum is 1 + 7 + 21 + 35 + 35 + 21 + 7 + 1 = 128 = 2⁷.

Practice Questions

  1. Expand \((3 + x)^2\) using the binomial theorem. (5 marks)
  2. Find the expansion of \((1 + 0.05)^3\). (6 marks)
  3. Expand \((4 + y)^3\) fully. (7 marks)
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🔒5.2 Binomial Expansion

The binomial expansion writes a power of a binomial, (a + b)ⁿ, as a sum of terms that contain powers of a and b. It saves the labour of multiplying brackets and makes it possible to pick out a single term, such as the coefficient of x³, without writing the who…

🔒5.3 Applications of Binomial Expansion

In electronics engineering in Kenya, binomial expansion is a powerful tool for simplifying complex algebraic expressions and solving polynomial equations encountered in circuit analysis, signal processing, and control systems. Mastery of these applications all…

🔒5.4 Engineering Applications

Binomial expansion is extensively used in electronics engineering for approximations in nonlinear circuit analysis, feedback loop calculations, and signal modulation. These applications simplify complex expressions, making design and analysis more efficient in…

🔒5.5 Estimating values in engineering calculations

Estimation is a crucial skill for electronics engineers in Kenya, especially when dealing with circuit parameters, component tolerances, or preliminary design calculations. Accurate estimation helps save time, reduce errors, and ensure that designs meet perfor…

Chapter Summary

This chapter introduced the basic concepts of the binomial theorem, including binomial expressions and their notation, the role of factorials in calculating binomial coefficients, and how to determine these coefficients using combinations and Pascal's Triangle. It then explored the general form of binomial expansion and demonstrated expansions for powers of two, three, and four. Special cases such as expansions of expressions in the form \((1 + x)^n\), including negative and fractional powers, were examined using the binomial series. Practical applications were discussed, highlighting how binomial expansion simplifies algebraic expressions and assists in solving polynomial equations. The chapter also covered engineering applications where binomial expansions are used to model and solve real-world problems. Finally, methods for estimating values in engineering calculations using binomial expansions were presented to enhance accuracy and efficiency.

Self-Assessment

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Written Assessment

  1. Expand the expression \((a + b)^2\) and find the coefficient of the \(b^2\) term. (2 marks)

  2. Calculate the value of \({}^5C_3\) (the number of combinations of 5 items taken 3 at a time). (2 marks)

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Chapter Examination Questions

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SECTION A (40 Marks) - Answer ALL Questions

  1. An electronics engineer at Kenya Power is analyzing a circuit where voltage is given by the expression \((1 + 0.05)^4\). Use binomial expansion to find the approximate value of the voltage. (4 marks)
  2. Calculate \(5!\) and use it to find the binomial coefficient \(\binom{5}{2}\). (4 marks)
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Am I competent?

At the start of this chapter we promised you would be able to:

  • derive power series of simple functions using binomial expansion correctly
  • estimate errors from small changes accurately using binomial expansion
  • estimate roots of numbers correctly using binomial expansion

Tick each one you can genuinely do.

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