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Unit FP3: Further Pure Mathematics 3

Syllabus
2019
Section
Level
A2

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Topic —

FP3.1 - Hyperbolic functions

Objectives in this topic

FP3.1.1 - Definition of the six hyperbolic

Definition of the six hyperbolic For example, cosh x = 1 (ex + e−x), functions in terms of exponentials.; Graphs and properties of the 1 2 sech x = =. hyperbolic functions. cosh x ex + e−x Students should be able to derive and use simple identities such as cosh2 x − sinh2 x ≡ 1 and cosh2 x + sinh2 x ≡ cosh 2x and to solve equations such as a cosh x + b sinh x = c.

Use fp3.1.1 - definition of the six hyperbolic to connect the rule to the data and decision in the question.

This matters because fp3.1.1 - definition of the six hyperbolic determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.1.1 - definition of the six hyperbolic to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.1.1 - Definition of the six hyperbolic is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.1.2 - Inverse hyperbolic functions

Understand inverse hyperbolic functions, their graphs, properties and logarithmic forms, including arsinh x = ln(x + √(1 + x²)).

Use fp3.1.2 - inverse hyperbolic functions to connect the rule to the data and decision in the question.

This matters because fp3.1.2 - inverse hyperbolic functions determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.1.2 - inverse hyperbolic functions to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.1.2 - Inverse hyperbolic functions is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Topic —

FP3.2 - Further coordinate systems

Objectives in this topic

FP3.2.1 - Cartesian and parametric equations

Cartesian and parametric equations Extension of work from FP1. for the ellipse and hyperbola.; Students should be familiar with the equations: x2 y2 + = 1; x = a cos t, y = b sin t. a2 b2 x2 y2 − = 1; x = a sec t, y = b tan t; a2 b2 x = a cosh t, y = b sinh t.

Use fp3.2.1 - cartesian and parametric equations to connect the rule to the data and decision in the question.

This matters because fp3.2.1 - cartesian and parametric equations determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.2.1 - cartesian and parametric equations to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: use the formula and units given in the question, show the substitution and interpret the result; the calculation alone is not the conclusion.

FP3.2.2 - Focus-directrix properties

The focus-directrix properties of For example, students should know that, for the ellipse, the ellipse and hyperbola, including b2 = a2(1 − e2), the foci are (ae, 0) and (−ae, 0) and the the eccentricity. equations of the directrices are a a x = + and x = −. e e.

Use fp3.2.2 - focus-directrix properties to connect the rule to the data and decision in the question.

This matters because fp3.2.2 - focus-directrix properties determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.2.2 - focus-directrix properties to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.2.2 - Focus-directrix properties is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.2.3 - Tangents and normals to these

Tangents and normals to these The condition for y = mx + c to be a tangent to these curves curves. is expected to be known.

Use fp3.2.3 - tangents and normals to these to connect the rule to the data and decision in the question.

This matters because fp3.2.3 - tangents and normals to these determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.2.3 - tangents and normals to these to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.2.3 - Tangents and normals to these is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.2.4 - Simple loci problems

Simple loci problems.

Use fp3.2.4 - simple loci problems to connect the rule to the data and decision in the question.

This matters because fp3.2.4 - simple loci problems determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.2.4 - simple loci problems to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.2.4 - Simple loci problems is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Topic —

FP3.3 - Differentiation

Objectives in this topic

FP3.3.1 - Differentiation of hyperbolic cosh2x

Differentiation of hyperbolic cosh2x For example, tanh 3x, x sinh2 x,. functions and expressions involving (x +1) them.

Use fp3.3.1 - differentiation of hyperbolic cosh2x to connect the rule to the data and decision in the question.

This matters because fp3.3.1 - differentiation of hyperbolic cosh2x determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.3.1 - differentiation of hyperbolic cosh2x to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.3.1 - Differentiation of hyperbolic cosh2x is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.3.2 - Differentiation of inverse functions,

Differentiation of inverse functions, For example, arcsin x + x (1 – x2), 1 artanh x2. including trigonometric and 2 hyperbolic functions.

Use fp3.3.2 - differentiation of inverse functions, to connect the rule to the data and decision in the question.

This matters because fp3.3.2 - differentiation of inverse functions, determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.3.2 - differentiation of inverse functions, to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.3.2 - Differentiation of inverse functions, is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Topic —

FP3.4 - Integration

Objectives in this topic

FP3.4.1 - Integration of hyperbolic functions

Integration of hyperbolic functions and expressions involving them.

Use fp3.4.1 - integration of hyperbolic functions to connect the rule to the data and decision in the question.

This matters because fp3.4.1 - integration of hyperbolic functions determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.4.1 - integration of hyperbolic functions to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.4.1 - Integration of hyperbolic functions is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.4.2 - Integration of inverse trigonometric

Integration of inverse trigonometric ∫ ∫ For example, arsinh x dx, arctan x dx. and hyperbolic functions.

Use fp3.4.2 - integration of inverse trigonometric to connect the rule to the data and decision in the question.

This matters because fp3.4.2 - integration of inverse trigonometric determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.4.2 - integration of inverse trigonometric to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.4.2 - Integration of inverse trigonometric is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.4.3 - Integration

Integration using hyperbolic and To include the integrals of trigonometric substitutions. 1 1 1 1,,, (a2 + x2) (a2 − x2) (a2 + x2) (x2 − a2).

Use fp3.4.3 - integration to connect the rule to the data and decision in the question.

This matters because fp3.4.3 - integration determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.4.3 - integration to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.4.3 - Integration is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.4.4 - Use of substitution for integrals

Use of substitution for integrals In more complicated cases, substitutions will be given. involving quadratic surds.

Use fp3.4.4 - use of substitution for integrals to connect the rule to the data and decision in the question.

This matters because fp3.4.4 - use of substitution for integrals determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.4.4 - use of substitution for integrals to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.4.4 - Use of substitution for integrals is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.4.5 - Reduction formulae

Derive and use simple reduction formulae for integrals, including powers of sine.

Use fp3.4.5 - reduction formulae to connect the rule to the data and decision in the question.

This matters because fp3.4.5 - reduction formulae determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.4.5 - reduction formulae to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: use the formula and units given in the question, show the substitution and interpret the result; the calculation alone is not the conclusion.

FP3.4.6 - The

The calculation of arc length and The equation of the curve may be given in cartesian or the area of a surface of revolution. parametric form.; Equations in polar form will not be set.

Use fp3.4.6 - the to connect the rule to the data and decision in the question.

This matters because fp3.4.6 - the determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.4.6 - the to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.4.6 - The is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Topic —

FP3.5 - Vectors

Objectives in this topic

FP3.5.1 - Vector product and scalar triple product

The vector product a × b and the The interpretation of | a × b | as an area and a. b × c as a triple scalar product a. b × c. volume.

Use fp3.5.1 - vector product and scalar triple product to connect the rule to the data and decision in the question.

This matters because fp3.5.1 - vector product and scalar triple product determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.5.1 - vector product and scalar triple product to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.5.1 - Vector product and scalar triple product is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.5.2 - Use of vectors in problems

Use of vectors in problems Students may be required to use equivalent cartesian forms involving points, lines and planes. also.; The equation of a line in the form Applications to include (r − a) × b = 0. (i) distance from a point to a plane, (ii) line of intersection of two planes, (iii) shortest distance between two skew lines.

Use fp3.5.2 - use of vectors in problems to connect the rule to the data and decision in the question.

This matters because fp3.5.2 - use of vectors in problems determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.5.2 - use of vectors in problems to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.5.2 - Use of vectors in problems is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.5.3 - Equation of a plane

The equation of a plane in the Students may be required to use equivalent cartesian forms forms also. r.n = p, r = a + sb + tc.

Use fp3.5.3 - equation of a plane to connect the rule to the data and decision in the question.

This matters because fp3.5.3 - equation of a plane determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.5.3 - equation of a plane to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: use the formula and units given in the question, show the substitution and interpret the result; the calculation alone is not the conclusion.

Topic —

FP3.6 - Further matrix algebra

Objectives in this topic

FP3.6.1 - Linear transformations of column

Linear transformations of column Extension of work from FP1 to 3 dimensions. vectors in two and three dimensions and their matrix representation.

Use fp3.6.1 - linear transformations of column to connect the rule to the data and decision in the question.

This matters because fp3.6.1 - linear transformations of column determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.6.1 - linear transformations of column to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.6.1 - Linear transformations of column is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.6.2 - Combination of transformations

Combination of transformations.; The transformation represented by AB is the transformation Products of matrices. represented by B followed by the transformation represented by A.

Use fp3.6.2 - combination of transformations to connect the rule to the data and decision in the question.

This matters because fp3.6.2 - combination of transformations determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.6.2 - combination of transformations to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.6.2 - Combination of transformations is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.6.3 - Transpose of a matrix

Transpose of a matrix.; Use of the relation (AB)T = BTAT.

Use fp3.6.3 - transpose of a matrix to connect the rule to the data and decision in the question.

This matters because fp3.6.3 - transpose of a matrix determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.6.3 - transpose of a matrix to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.6.3 - Transpose of a matrix is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.6.4 - Evaluation of 3 × 3 determinants

Evaluation of 3 × 3 determinants.; Singular and non-singular matrices.

Use fp3.6.4 - evaluation of 3 × 3 determinants to connect the rule to the data and decision in the question.

This matters because fp3.6.4 - evaluation of 3 × 3 determinants determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.6.4 - evaluation of 3 × 3 determinants to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.6.4 - Evaluation of 3 × 3 determinants is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.6.5 - Inverse of 3 × 3 matrices

Inverse of 3 × 3 matrices.; Use of the relation (AB)−1 = B−1A−1.

Use fp3.6.5 - inverse of 3 × 3 matrices to connect the rule to the data and decision in the question.

This matters because fp3.6.5 - inverse of 3 × 3 matrices determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.6.5 - inverse of 3 × 3 matrices to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.6.5 - Inverse of 3 × 3 matrices is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.6.6 - Inverse transformations and combinations

The inverse (when it exists) of a given transformation or combination of transformations.

Use fp3.6.6 - inverse transformations and combinations to connect the rule to the data and decision in the question.

This matters because fp3.6.6 - inverse transformations and combinations determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.6.6 - inverse transformations and combinations to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.6.6 - Inverse transformations and combinations is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.6.7 - Eigenvalues and eigenvectors

Eigenvalues and eigenvectors of Normalised vectors may be required. 2 × 2 and 3 × 3 matrices.

Use fp3.6.7 - eigenvalues and eigenvectors to connect the rule to the data and decision in the question.

This matters because fp3.6.7 - eigenvalues and eigenvectors determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.6.7 - eigenvalues and eigenvectors to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.6.7 - Eigenvalues and eigenvectors is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

FP3.6.8 - Reduction of symmetric matrices

Reduction of symmetric matrices to Students should be able to find an orthogonal matrix P such diagonal form. that PTAP is diagonal.

Use fp3.6.8 - reduction of symmetric matrices to connect the rule to the data and decision in the question.

This matters because fp3.6.8 - reduction of symmetric matrices determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply fp3.6.8 - reduction of symmetric matrices to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: FP3.6.8 - Reduction of symmetric matrices is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

ConceptA-Level Edexcel Mathematics A2