MATHEMATICS FORM TWO FULL NOTES
Mathematics (from Greek: μάθημα, máthēma, ‘knowledge, study, learning’) includes the study of such topics as numbers (arithmetic and number theory)
Formulas and related structures (algebra), shapes and spaces in which they are contained (geometry), and quantities and their changes (calculus and analysis).
There is no general consensus about its exact scope or epistemological status.
Most of mathematical activity consists of discovering and proving (by pure reasoning) properties of abstract objects.
These objects are either abstractions from nature (such as natural numbers or “a line”), or (in modern mathematics) abstract entities that are defined by their basic properties, called axioms.
A proof consists of a succession of applications of some deductive rules to already known results, including previously proved theorems, axioms
And (in case of abstraction from nature) some basic properties that are considered as true starting points of the theory under consideration. The result of a proof is called a theorem.
Contrary to physical laws, the validity of a theorem (its truth) does not rely on any experimentation but on the correctness of its reasoning (though experimentation is often useful for discovering new theorems of interest).
MATHEMATICS FORM TWO FULL NOTES
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TOPIC 1:
EXPONENTS AND RADICALS
TOPIC 2:
ALGEBRA
TOPIC 3:
QUADRATIC EQUATIONS
TOPIC 4:
LOGARITHMS
TOPIC 5:
CONGRUENCE
TOPIC 6:
SIMILARITY
TOPIC 7:
GEOMETRIC AND TRANSFORMATIONS
TOPIC 8:
PYTHAGORAS THEOREM
TOPIC 9:
TRIGONOMETRY
TOPIC 10:
SETS
TOPIC 11:
STATISTICS
MATHEMATICS FORM TWO FULL NOTES
Mathematics is widely used in science for modeling phenomena. This enables the extraction of quantitative predictions from experimental laws.
For example, the movement of planets can be predicted with high accuracy using Newton’s law of gravitation combined with mathematical computation.
The independence of mathematical truth from any experimentation implies that the accuracy of such predictions depends only on the adequacy of the model for describing the reality.
So when some inaccurate predictions arise, it means that the model must be improved or changed, not that the mathematics is wrong.
For example, the perihelion precession of Mercury cannot be explained by Newton’s law of gravitation, but is accurately explained by Einstein’s general relativity.
This experimental validation of Einstein’s theory shows that Newton’s law of gravitation is only an approximation (which still is very accurate in everyday life).
