Mechatronics Technology  ·  Level 6
Engineering Mathematics II
Chapter 1: Apply statistics and probability
📚 7 Topics
⚑ What you will be able to do

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

  • Accurately represent complex numbers on Argand diagrams using the correct steps.
  • Perform operations with complex numbers confidently and correctly.
  • Apply De Moivre’s theorem accurately to solve a variety of problems.

Mastering these skills will help you handle complex engineering calculations with confidence and precision in your future work.

Mechatronics Technology professionals in Kenya regularly engage with complex systems requiring precise mathematical tools to analyse and optimise performance. Understanding and manipulating indices is foundational for handling exponential data in sensor outputs, control algorithms, and signal processing. This chapter develops your ability to apply indices effectively in engineering calculations, preparing you for advanced statistical and probabilistic analyses in mechatronics applications.

1.1 Indices

Indices, also known as exponents or powers, describe repeated multiplication of a base number. Mastery of indices is essential in mechatronics technology for simplifying equations involving growth rates, decay processes, and scaling laws within sensors and actuators. This section covers fundamental index rules including zero, negative, and fractional powers, culminating in the laws that govern their manipulation.

1.1.1 Power zero

The zero power rule states that any non-zero number raised to the power of zero equals one. This property is crucial when simplifying expressions in control systems and signal processing where terms may cancel out or normalize.

The general formula is:

$$a^0 = 1 \quad \text{for} \quad a \neq 0$$

Worked Examples

Example 1: Calculate \(5^0\).

Given: \(a = 5\)

$$a^0 = 1$$

$$5^0 = 1$$

Answer: 1

Example 2: Evaluate \((12)^0\).

Given: \(a = 12\)

$$a^0 = 1$$

$$12^0 = 1$$

Answer: 1

Example 3: Find \((0.8)^0\).

Given: \(a = 0.8\)

$$a^0 = 1$$

$$0.8^0 = 1$$

Answer: 1

Example 4: Determine \((-7)^0\).

Given: \(a = -7\)

$$a^0 = 1$$

$$(-7)^0 = 1$$

Answer: 1

Example 5: Calculate \((\frac{3}{4})^0\).

Given: \(a = \frac{3}{4}\)

$$a^0 = 1$$

$$(\frac{3}{4})^0 = 1$$

Answer: 1

1.1.2 Negative powers

Negative powers indicate the reciprocal of the base raised to the corresponding positive power. This concept is pivotal in mechatronics for inverse relationships such as impedance or gain calculations in circuits.

The rule is:

$$a^{-n} = \frac{1}{a^n} \quad \text{for} \quad a \neq 0$$

Worked Examples

Example 1: Calculate \(4^{-2}\).

Given: \(a=4, n=2\)

$$a^{-n} = \frac{1}{a^n}$$

$$4^{-2} = \frac{1}{4^2}$$

$$= \frac{1}{16}$$

Answer: \(\frac{1}{16}\)

Example 2: Evaluate \((2)^{-3}\).

Given: \(a=2, n=3\)

$$2^{-3} = \frac{1}{2^3}$$

$$= \frac{1}{8}$$

Answer: \(\frac{1}{8}\)

Example 3: Find \((\frac{1}{5})^{-2}\).

Given: \(a=\frac{1}{5}, n=2\)

$$(\frac{1}{5})^{-2} = \frac{1}{(\frac{1}{5})^2}$$

$$= \frac{1}{\frac{1}{25}}$$

$$= 25$$

Answer: 25

Example 4: Determine \(10^{-1}\).

Given: \(a=10, n=1\)

$$10^{-1} = \frac{1}{10^1}$$

$$= \frac{1}{10}$$

Answer: \(\frac{1}{10}\)

Example 5: Calculate \((-3)^{-2}\).

Given: \(a=-3, n=2\)

$$(-3)^{-2} = \frac{1}{(-3)^2}$$

$$= \frac{1}{9}$$

Answer: \(\frac{1}{9}\)

1.1.3 Fractional powers

Fractional powers represent roots of numbers, where the denominator of the fraction is the root index. This operation is fundamental in mechatronics when dealing with calibration curves, sensor response linearization, and signal transformations.

The rule is:

$$a^{\frac{m}{n}} = \sqrt[n]{a^m} = (\sqrt[n]{a})^m$$

Worked Examples

Example 1: Calculate \(9^{\frac{1}{2}}\).

Given: \(a=9, m=1, n=2\)

$$a^{\frac{m}{n}} = \sqrt[n]{a^m}$$

$$9^{\frac{1}{2}} = \sqrt{9}$$

$$= 3$$

Answer: 3

Example 2: Evaluate \(27^{\frac{1}{3}}\).

Given: \(a=27, m=1, n=3\)

$$27^{\frac{1}{3}} = \sqrt[3]{27}$$

$$= 3$$

Answer: 3

Example 3: Find \(16^{\frac{3}{4}}\).

Given: \(a=16, m=3, n=4\)

$$16^{\frac{3}{4}} = (\sqrt[4]{16})^3$$

$$\sqrt[4]{16} = 2$$

$$2^3 = 8$$

Answer: 8

Example 4: Determine \(81^{\frac{1}{2}}\).

Given: \(a=81, m=1, n=2\)

$$81^{\frac{1}{2}} = \sqrt{81}$$

$$= 9$$

Answer: 9

Example 5: Calculate \(125^{\frac{2}{3}}\).

Given: \(a=125, m=2, n=3\)

$$125^{\frac{2}{3}} = (\sqrt[3]{125})^2$$

$$\sqrt[3]{125} = 5$$

$$5^2 = 25$$

Answer: 25

1.1.4 Laws of indices

The laws of indices allow the simplification and manipulation of expressions with the same base, which is essential in mechatronics for solving exponential equations in control systems, signal processing, and electronics.

Key laws:

  1. Product law: \(a^m \times a^n = a^{m+n}\)
  2. Quotient law: \(\frac{a^m}{a^n} = a^{m-n}\)
  3. Power of a power: \((a^m)^n = a^{mn}\)
  4. Power of a product: \((ab)^n = a^n b^n\)
  5. Power of a quotient: \((\frac{a}{b})^n = \frac{a^n}{b^n}\)

Worked Examples

Example 1: Simplify \(3^2 \times 3^4\).

Given: \(a=3, m=2, n=4\)

$$3^2 \times 3^4 = 3^{2+4}$$

$$= 3^6$$

$$= 729$$

Answer: 729

Example 2: Simplify \(\frac{5^7}{5^3}\).

Given: \(a=5, m=7, n=3\)

$$\frac{5^7}{5^3} = 5^{7-3}$$

$$= 5^4$$

$$= 625$$

Answer: 625

Example 3: Simplify \((2^3)^4\).

Given: \(a=2, m=3, n=4\)

$$(2^3)^4 = 2^{3 \times 4}$$

$$= 2^{12}$$

$$= 4096$$

Answer: 4096

Example 4: Simplify \((3 \times 4)^2\).

Given: \(a=3, b=4, n=2\)

$$(3 \times 4)^2 = 3^2 \times 4^2$$

$$= 9 \times 16$$

$$= 144$$

Answer: 144

Example 5: Simplify \((\frac{6}{2})^3\).

Given: \(a=6, b=2, n=3\)

$$(\frac{6}{2})^3 = \frac{6^3}{2^3}$$

$$= \frac{216}{8}$$

$$= 27$$

Answer: 27

Practice Questions

  1. Calculate \(7^0\). (2 marks)
  2. Evaluate \(10^{-2}\). (3 marks)
  3. Find the value of \(64^{\frac{1}{3}}\). (4 marks)
  4. Simplify \(2^5 \times 2^{-3}\). (4 marks)
  5. Calculate \((\frac{3}{4})^2 \times (\frac{3}{4})^3\). (5 marks)
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🔒1.2 BODMAS

In Mechatronics Technology, correct evaluation of mathematical expressions is critical when programming control systems, analyzing sensor data, or performing calculations for robotic movement. The BODMAS rule ensures that operations are carried out in the corr…

🔒1.3 Roots

Roots are fundamental in Mechatronics when dealing with sensor calibration, signal processing, and system dynamics where non-linear relationships occur. Understanding roots allows engineers to solve polynomial equations representing mechanical or electrical sy…

🔒1.4 Logarithms

Logarithms are fundamental in Mechatronics Technology for solving equations involving exponential growth or decay, signal processing, and control systems analysis. In Kenya’s engineering sectors such as manufacturing automation and robotics, logarithmic calcul…

🔒1.5 Use of scientific calculator

In Mechatronics Technology, precise calculations are routine for analyzing sensor data, programming control systems, and performing statistical computations. Mastery of the scientific calculator is essential for accuracy and efficiency in these tasks. This sec…

🔒1.6 Simultaneous equations (up to 3 equations)

Simultaneous equations are fundamental in mechatronics for solving multiple unknowns related to system variables such as currents, voltages, forces, or sensor readings. Kenyan mechatronics technicians often encounter these when analyzing circuits, robotic arms…

🔒1.7 Quadratic equations

Quadratic equations are fundamental in solving many practical problems in Mechatronics Technology, especially when dealing with motion control, sensor calibration, and system optimizations. In Kenya, engineers often encounter quadratic relationships when analy…

Chapter Summary

This chapter covered fundamental concepts in Engineering Mathematics II, beginning with indices, including zero, negative, and fractional powers, and the essential laws governing their addition, subtraction, division, and multiplication. The order of operations was emphasized through BODMAS to ensure correct evaluation of expressions. Roots were explored next, focusing on square roots, cube roots, and general nth roots. Logarithms were introduced with their key laws: product, quotient, and power rules, which simplify complex calculations. The use of scientific calculators was detailed, highlighting functions such as power on/off, mode settings for degree, radian, gradient, and statistical data, as well as clearing, saving, and shift functions. Techniques for solving simultaneous equations with up to three variables were thoroughly explained, including elimination, substitution, reduction, and graphical methods. Finally, quadratic equations were addressed through factorization, the quadratic formula, completing the square, and graphical solutions, providing a comprehensive toolkit for solving a variety of algebraic problems in engineering contexts.

Self-Assessment

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Written Assessment

  1. Calculate the value of \(5^0\) and explain its significance in a mechatronics system where sensor calibration involves powers of zero. (2 marks)

  2. Evaluate \( (3 \times 10^{-2}) \times (2 \times 10^{3}) \) as used in calculating the signal gain in a control circuit. (3 marks)

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Chapter Examination Questions

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SECTION A (40 Marks) - Answer ALL Questions

  1. A sensor output voltage varies as \(V = 5^0\) volts. Calculate the value of \(V\). (4 marks)
  2. Simplify \( (2^{-3}) \times (4^2) \) and express the answer as a positive power. (4 marks)
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Am I competent?

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

  • Accurately represent complex numbers on Argand diagrams using the correct steps.
  • Perform operations with complex numbers confidently and correctly.
  • Apply De Moivre’s theorem accurately to solve a variety of problems.

Tick each one you can genuinely do.

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