A Level Further Mathematics OCR
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275 topics in 38 modules
☑️ Proof 1 topic
- Proof
☑️ Complex numbers 9 topics
- The language of complex numbers
- Basic operations
- Solution of Equations
- Agrand Diagrams
- Euler's formula
- Loci
- De Moivre's theorem
- nth roots
- Roots of unity
☑️ Matrices 8 topics
- The language of matrices
- Matrix addition and multiplication
- Linear transformations
- Invariance
- Determinants
- Inverses
- Solution of simultaneous equations
- Intersection of planes
☑️ Further Vectors 6 topics
- Equation of a straight line
- Equation of a plane
- Scalar product
- Intersections
- Vector product
- Shortest distances
☑️ Further Algebra 3 topics
- Roots of equations
- Transformation of equations
- Partial fractions
☑️ Series 2 topics
- Summation of series
- Method of differences
☑️ Hyperbolic Functions 3 topics
- Defintion
- Differentiation and integration
- Inverse hyperbolic functions
☑️ Further Calculus 9 topics
- Maclaurin series
- Reduction formulae
- Arc lengths and surface areas
- Improper integrals
- Volumes of solidsof revolution
- Mean values
- Partial fractions
- Inverse trigonometric and hyperbolic functions
- Further integrations
☑️ Polar Coordinates 3 topics
- Polar Coordinates
- Sketching curves
- Area
☑️ Differential Equations 8 topics
- General and particular solutions
- Modelling
- Integrating factor method for first order differential equations
- Second order homogeneous differential equations
- Second order non-homogeneous differential equations
- Simple harmonicmotion
- Damped oscillations
- Linear systems
☑️ Statistics 31 topics
- Probability
- Discrete Random Variables: Probability distributions
- Discrete Random Variables: The binomial distribution
- Discrete Random Variables: The discrete uniform distribution
- Discrete Random Variables: The geometric distribution
- Discrete Random Variables: The Poisson distribution
- Continuous random variables
- Continuous random variables: Probability density functions
- Continuous random variables: Cumulative distribution functions
- Linear combinations of any random variables
- Linear combinations of any normal random variables
- The distribution of X and the central limit theorem
- Unbiased estimates of population mean and variance
- Using the norma ldistribution in hypothesis tests
- Confidence intervals
- Chi Squared Tests: Contingency tables
- Chi Squared Tests: Fitting a theoretical distribution
- Chi Squared Tests: Goodness of fit test
- Non-parametric tests
- The basis of non-parametric tests
- Single-sample hypothesis tests
- Paired-sample and two-sample hypothesis tests
- Non-parametric tests: Normal approximations
- Pearson's product-moment correlation coeffecient
- Hypothesis tests using Pearson's product-moment correlation coefficient
- Spearman's rank correlation coefficient
- Hypothesis tests using Spearman's coefficient
- Correlation: Comparison of coefficients
- Correlation: Dependent and independent variables
- Calculation of the equation of the regression line
- Use of the regression line
☑️ Mechanics 14 topics
- Dimensional Analysis
- Work
- Energy
- Hooke's law
- Conservation of Energy
- Power
- Linear Momentum
- Impulse
- Restitution
- Centre of Mass
- Centre of Mass: Rigid Bodies
- Centre of Mass: Uniform motion in a circle
- Centre of Mass: Motion in a vertical circle
- Linear Motion under a variable force
☑️ Discrete 36 topics
- Mathematical Preliminaries: Types of Problem
- Mathematical Preliminaries: Set Notation
- Mathematical Preliminaries: The pigeon hole principle
- Mathematical Preliminaries: Arrangement and selection problems
- Mathematical Preliminaries: The inclusion- exclusion principle
- Graphs and Networks: Terminology and notation
- Graphs and Networks: Complete Graphs
- Graphs and Networks: Bipartite Graphs
- Graphs and Networks: Eulerian graphs
- Graphs and Networks: Hamiltonian Graphs
- Graphs and Networks: Isomorphism
- Graphs and Networks: Digraphs
- Graphs and Networks: Planar graphs
- Graphs and Networks: Using graphs and networks
- Algorithm: Definition
- Algorithm: Awareness of their uses and practical limitations
- Algorithm: Working with algorithms
- Algorithm: The order of algorithms
- Algorithm: Efficiency and complexity
- Algorithm: Strategies for sorting
- Algorithm: Strategies for packing
- Network Algorithms: Least weight path between two vertices
- Network Algorithms: Least weight set of arcs connecting all vertices
- Network Algorithms: Least weight cycle through all vertices
- Network Algorithms: Least weight route through all vertices thatt raverses every arc at least once
- Network Algorithms: Network Problems
- Critical path analysis
- Graphical Linear Programming: Formulating LP problems
- Graphical Linear Programming: Working with constraints
- Graphical Linear Programming: Graphical solutions
- The Simplex Algorithm: Use a simplex tableau
- The Simplex Algorithm: Terminology
- The Simplex Algorithm: Graphical and algebraic interpretations of iterations
- Game theory: Pay-off matrix
- Game theory: Pure strategies
- Game theory: Mixed strategies
☑️ Additional Pure 32 topics
- Sequences and Series: Recurrence relations
- Sequences and Series: Properties of sequences
- Sequences and Series: Fibonacci and related numbers
- Sequences and Series: Solving recurrence systems
- Sequences and Series: Modelling
- Number Theory: Number bases
- Number Theory: Divisibility tests
- Number Theory: The division algorithm
- Number Theory: Finite (modular) arithmetics
- Number Theory: Prime numbers
- Number Theory: Euclid's lemma
- Number Theory: Fermat's little theorem
- Number Theory: The order of a modulo p
- Number Theory: Binomial theorem
- Groups: Binary operations
- Groups: Defintion of a group
- Groups: Orders of elements and groups
- Groups: Subgroups
- Groups: Cyclic groups
- Groups: Generators
- Groups: Properties of groups
- Groups: Lagrange's theorem
- Groups: Isomorphism
- Groups: Abstract groups
- Further Vectors: Vector product
- Surfaces: 3-D surfaces
- Surfaces: Sections and contours
- Partial differentiation
- Partial differentiation: Stationary points
- Partial differentiation: Tangent planes
- Further Calculus: Reduction formulae
- Further Calculus: Arc lengths and surface areas
☑️ Probability 1 topic
- Probability
☑️ Discrete Random Variables 5 topics
- Probability distributions for general discrete random variables
- The binomial distribution
- The discrete uniform distribution
- The geometric distribution
- The Poisson distribution
☑️ Continuous random variables 3 topics
- Continuous random variables
- Probability density functions
- Cumulative distribution functions
☑️ Linear combinations of any random variables 2 topics
- Linear combinations of any random variables
- Linear combinations of any normal random variables
☑️ Hypothesis Tests and Confidence Intervals 4 topics
- The distribution of X and the central limit theorem
- Unbiased estimates of population mean and variance
- Using the normaldistribution in hypothesis tests
- Confidence intervals
☑️ Chi Squared Tests 3 topics
- Contingency tables
- Fitting a theoretical distribution
- Goodness of fit test
☑️ Non-parametric tests 5 topics
- Non-parametric tests
- The basis of non-parametric tests
- Single-sample hypothesis tests
- Paired-sample and two-sample hypothesis tests
- Normal approximations
☑️ Correlation 8 topics
- Pearson's product-moment correlation coeffecient
- Hypothesis tests using Pearson's product-moment correlation coefficient
- Spearman's rank correlation coefficient
- Hypothesis tests using Spearman's coefficient
- Comparison of coefficients
- Dependent and independent variables
- Calculation of the equation of the regression line
- Use of the regression line
☑️ Dimensional Analysis 1 topic
- Dimensional Analysis
☑️ Work, Energy and Power 8 topics
- Work
- Energy
- Hooke's law
- Conservation of Energy
- Power
- Linear Momentum
- Impulse
- Restitution
☑️ Centre of Mass 4 topics
- Centre of Mass
- Rigid Bodies
- Uniform motion in a circle
- Motion in a vertical circle
☑️ Further Dynamics and Kinematics 1 topic
- Linear Motion under a variable force
☑️ Mathematical Preliminaries 5 topics
- Types of Problem
- Set Notation
- The pigeon hole principle
- Arrangement and selection problems
- The inclusion- exclusion principle
☑️ Graphs and Networks 9 topics
- Terminology and notation
- Complete Graphs
- Bipartite Graphs
- Eulerian graphs
- Hamiltonian Graphs
- Isomorphism
- Digraphs
- Planar graphs
- Using graphs and networks
☑️ Algorithm 7 topics
- Definition of an algorithm
- Awareness of the uses and practical limitations of algorithms
- Working with algorithms
- The order of algorithms
- Efficiency and complexity
- Strategies for sorting
- Strategies for packing
☑️ Network Algorithms 5 topics
- Least weight path between two vertices
- Least weight set of arcs connecting all vertices
- Least weight cycle through all vertices
- Least weight route through all vertices thatt raverses every arc at least once
- Network Problems
☑️ Decision Making in Project Management 1 topic
- Critical path analysis
☑️ Graphical Linear Programming 3 topics
- Formulating LP problems
- Working with constraints
- Graphical solutions
☑️ The Simplex Algorithm 3 topics
- Use a simplex tableau
- Terminology
- Graphical and algebraic interpretations of iterations
☑️ Game theory 3 topics
- Pay-off matrix
- Pure strategies
- Mixed strategies
☑️ Sequences and Series 5 topics
- Recurrence relations
- Properties of sequences
- Fibonacci and related numbers
- Solving recurrence systems
- Modelling
☑️ Number Theory 9 topics
- Number bases
- Divisibility tests
- The division algorithm
- Finite (modular) arithmetics
- Prime numbers
- Euclid's lemma
- Fermat's little theorem
- The order of a modulo p
- Binomial theorem
☑️ Groups 10 topics
- Binary operations
- Defintion of a group
- Orders of elements and groups
- Subgroups
- Cyclic groups
- Generators
- Properties of groups
- Lagrange's theorem
- Isomorphism
- Abstract groups
☑️ Surfaces and Partial Differentiation 5 topics
- 3-D surfaces
- Sections andcontours
- Partial differentiation
- Stationary points
- Tangent planes
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A Level Further Mathematics OCR Revision Content
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A Level Further Mathematics OCR - Proof - Proof Content Preview
Proof
Proof
Fundamentals of Proof
- A proof is a logical argument demonstrating that a certain proposition or statement is true, it involves assumptions, propositions, intermediate conclusions and a final conclusion.
- Direct proof is the most common type of proof. Here, you start from a given set of assumptions and use them to show that a certain conclusion is valid.
- Proof by contradiction (also known as reductio ad absurdum) involves assuming that the statement you're trying to prove is not true, and then showing that this leads to a contradiction.
- Proof by induction is typically used for proving statements involving positive integers. It is characterised by two steps: the base case and the inductive step.
- In a base case, you prove the statement for a specific small number, typically 1.
- In the inductive step, you assume the statement holds for an arbitrary positive integer 'k'. Then you show that, under that assumption, it must also work for 'k+1'.
- Proof by exhaustion involves checking all the possible cases in a finite set. This method is useful when the number of cases is relatively small.
Types of Statements and Definitions
- Conditional statements have a hypothesis and conclusion. They follow the structure "if p, then q."
- Biconditional statements are based on "if and only if" and imply that the hypothesis and conclusion depend on each other. They are true in both directions.
- Counterexamples are used to disprove conditional and biconditional statements. They are examples that conform to the initial conditions of the statement but don't produce the correct outcome.
- An axiom or postulate is a statement that is accepted without proof. They form the basis of any mathematical theory.
- A theorem is a major result that has been proved to be true using axioms or other already established theorems.
- A lemma is a "helping theorem," a proposition that isn't interesting in its own right, but is used to assist in the proof of a larger theorem.
- A corollary is an immediate consequence of a theorem.
Proof Techniques
- Modus Ponens is a deductive argument meaning 'the mode of affirming'. If a statement of "if p then q" is true and p is true, then q must also be true.
- Modus Tollens is another deductive argument, meaning 'the mode of denying'. This says if "if p then q" is true and q is false, then p must be false.
- Disjunctive Syllogism also referred to as 'the either/or scenario'. Given the statement "p or q", if 'p' is false then 'q' must be true and vice-versa.
- The use of Quantifiers in mathematics, such as "for all" and "there exists", allows for more generalised and powerful forms of statements.
- Familiarity with Logic and Set Notation will facilitate the reading and writing of formal mathematical proofs.
Remember that understanding and practising the construction of mathematical proofs is a critical skill in further mathematics. Being able to follow a series of logical steps to arrive at a conclusion, and then to articulate that process in a clear and concise way, is a significant part of your maths development.
Question: Define a lemma, and explain how it can be utilised within a mathematical proof?
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