Exam Study Notes: Units, Errors, and Vectors

Units and Dimensional Analysis

  • Units are important for problem-solving.
  • Unless specifically asked for a unit (e.g., centimeters), it's not mandatory to write the unit at every step or at the end of the result.
  • Final results will be graded based on the inclusion of the correct unit.
  • Velocity is measured in meters per second (m/s); this unit doesn't have a special name.

Units as a Tool

  • Units can help identify mistakes in calculations.
Example of Dimensional Analysis
  • The constant kk in an equation can be derived by solving for it and tracking the units.
  • If the units are kept consistent during the calculation, the resulting unit for kk will be correct.
  • Dimensional analysis is a method to ensure the units of the final result are correct.
Example
  • By plugging a constant back into an equation, one can verify if the unit of force comes out to be in Newtons, which would validate the calculation.

Energy Equation and Units

  • Einstein's famous equation: E=mc2E = mc^2
    • EE is energy.
    • mm is mass (kilograms).
    • cc is the speed of light (meters per second).
  • The unit of energy is kilogram-meter squared per second squared (kg
    vert m^2/s^2).

Significant Figures

  • Calculations on your units: The system is lenient with extra significant figures but strict if you provide too few.
  • Determine the number of significant figures from the question itself. It may not be explicitly stated.
  • Zeros from powers of 10 do not count as significant figures. E.g. 123 x 10710^{-7} contains 3 significant figures.

Measurements with Errors

  • When measuring with error, the precision of the measurement should match the precision of the error.
    • Correct Example: The measurement and the error both stop at the same decimal place.
    • Incorrect Example: The error implies a higher precision than the measurement.
Correcting Numbers in Scientific Notation
  • When numbers have scientific notation, you have to correct them for errors.
  • Example:
    • Original numbers: 4.87×1054.87 \times 10^{-5} and 0.234×1050.234 \times 10^{-5}
  • Steps:
    • Write both numbers using the same power of scientific notation.
    • Factor out the scientific notation: (4.87±0.234)×105(4.87 \pm 0.234) \times 10^{-5}
    • Adjust the numbers based on significant figures.
    • The error cannot have more significant figures (digits after the decimal) than the main result.
Rounding Error Example
  • If after rewriting with same power of 10, you have
    • (4.87±1.234)×105(4.87 \pm 1.234) \times 10^{-5}, then round to (4.87±1.23)×105(4.87 \pm 1.23) \times 10^{-5}
      • Drop the 44 from 1.2341.234 because the main result only has two decimal places.
  • If the error term was 1.8, it would be rounded up to 2.
  • It's about decimal places, not overall significant figures, in the error.
  • What If the calculated error is too small?
    • Always account for a minimum error possible, which is 1.
    • If the error margin is too small it will be counted wrong if you round it too much.
    • There is a 5% or 1% margin.

Trigonometry

  • Basic trigonometric ratios:
    • tan(θ)=oppositeadjacent\tan(\theta) = \frac{opposite}{adjacent}
    • Sine is opposite over hypotenuse.
    • Cosine is adjacent over hypotenuse.
  • Where:
    • θ\theta is the angle.
    • Opposite is the side opposite to the angle.
    • Adjacent is the side adjacent to the angle.
    • Hypotenuse is the longest side of the right triangle.
  • Radian vs Degrees
Radians and Degrees Conversions
  • π radians=180 degrees\pi \text{ radians} = 180 \text{ degrees}
  • 2π radians=360 degrees2\pi \text{ radians} = 360 \text{ degrees}
  • Calculators should be in degree mode for most calculations.
  • The inverse function in calculators is not one divided by, it is called 'inverse function'.
Angle Awareness
  • The position of the angle is important to know which side is opposite, adjacent, and not be held blindly.

Vectors

  • Vectors can be represented as components in a coordinate system.
  • A vector ( \vec{a} ) in 2D can be written as a=axx^+ayy^\vec{a} = ax \hat{x} + ay \hat{y}
Magnitude of a Vector
  • The magnitude (or length) of a vector is calculated using the Pythagorean theorem.
  • For a vector c=2x^+3y^\vec{c} = 2 \hat{x} + 3 \hat{y}, the magnitude is
    • c=22+32=13|\vec{c}| = \sqrt{2^2 + 3^2} = \sqrt{13}