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Reference Library

The tools every other module leans on.

F1

Quantities and Units

Physical quantities are expressed in standardized units; dimensional consistency and appropriate precision keep those quantities meaningful.

F1.1SI Base Units

The International System of Units (SI) defines seven base quantities. Every other physical unit is formed by multiplying and dividing these seven.

SI base units
Lengthmetrem
Masskilogramkg
Timeseconds
Electric currentampereA
Thermodynamic temperaturekelvinK
Amount of substancemolemol
Luminous intensitycandelacd
F1.2Dimensional Analysis

Every physical quantity has a dimension built from the base quantities. An equation can be correct only if every term shares the same dimension — a check that catches most algebraic errors without needing any numbers.

Principle(F1.2.1)Dimensions that both sides of an equation must share
F1.3Order-of-Magnitude Estimation

An order-of-magnitude estimate gives the power of ten nearest a quantity's true value. Estimating each factor in a calculation to one significant figure, then combining them, is often enough to judge whether a detailed result is plausible.

F1.4Significant Figures

Significant figures indicate how precisely a quantity is known. In multiplication and division, a result carries as many significant figures as its least precise factor. In addition and subtraction, a result carries as many decimal places as its least precise term.

F2

Vectors and Coordinates

Vectors carry both magnitude and direction; the algebra built on them underlies force, velocity and field alike.

F2.1Vector Algebra

A vector has both magnitude and direction; a scalar has magnitude alone. Vectors combine by the same rules regardless of what they represent.

Definition(F2.1.1)Sum of two vectors, added by component
F2.2Components and Unit Vectors

A vector is resolved into components along chosen axes, each multiplying a unit vector of length one.

Definition(F2.2.1)A vector resolved into axis components
F2.3Dot and Cross Products

The dot product returns a scalar and measures how much two vectors point the same way. The cross product returns a vector perpendicular to both, with magnitude equal to the area they span.

Definition(F2.3.1)Scalar product of two vectorsDefinition(F2.3.2)Vector product of two vectors
F2.4Choosing a Coordinate System

Symmetry in a problem should guide the choice of coordinates: Cartesian axes suit straight-line symmetry, polar or cylindrical coordinates suit circular symmetry, and spherical coordinates suit a single central point. A well-chosen system reduces the number of non-zero components, and often eliminates a coordinate entirely.

F3

Calculus for Physics

Derivatives measure rates of change; integrals accumulate them. Together they describe how physical quantities evolve.

F3.1Rates of Change

A derivative gives the instantaneous rate of change of one quantity with respect to another — the slope of its graph at a point.

Definition(F3.1.1)Instantaneous rate of change of a function
F3.2Integration as Accumulation

An integral accumulates a quantity that varies continuously — the area under a graph, or the total change built up from a rate.

Definition(F3.2.1)Area accumulated under a function
F3.3Gradients and Fields

The gradient of a scalar field points in the direction of its steepest increase, with magnitude equal to the rate of increase in that direction. Many force and field laws are gradients of a potential.

Definition(F3.3.1)Vector pointing along the steepest increase of a scalar field
F3.4Differential Equations that Keep Recurring

Three forms recur throughout physics: exponential growth or decay (dy/dx = ky), oscillation (d²y/dx² = −ω²y), and relaxation towards equilibrium. Recognizing the form immediately gives the shape of the solution — exponential, sinusoidal, or exponential approach — without solving from scratch.

F4

Uncertainty and Data

No measurement is exact — data are only useful once their uncertainty is known and honestly reported.

F4.1Sources of Error

Measurement uncertainty has two sources. Random error scatters repeated measurements around the true value and shrinks with averaging. Systematic error shifts every measurement the same way and does not improve with repetition. Precision describes the scatter; accuracy describes closeness to the true value.

F4.2Propagation of Uncertainty

When a result is calculated from several measured quantities, their uncertainties combine to produce an uncertainty in the result.

Result(F4.2.1)Combined uncertainty in a sum or differenceResult(F4.2.2)Combined uncertainty in a product or quotient
F4.3Fitting and Residuals

Fitting a model to data finds the parameters that minimize the residuals — the differences between measured values and the model's predictions. Least squares, the most common criterion, minimizes the sum of squared residuals. Residuals scattered around zero with no remaining trend are evidence the model form is appropriate.

F4.4Reporting a Result Honestly

A measured value is reported with its uncertainty and units, rounded so both share the same last decimal place — 9.81 ± 0.02 m/s², not 9.81 ± 0.023 m/s². A number reported without its uncertainty implies unwarranted confidence in every digit shown.