• Use logarithm laws for products, quotients and powers.
• In examinations, logarithm bases are 10 or e.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.
2
Learning objective
AHL 1.10 (HL)—Rational exponents
New
• Simplify numerical and algebraic expressions with rational exponents.
• Include negative and fractional powers.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.
3
Learning objective
AHL 1.11 (HL)—Infinite geometric sequences
New
• Find sums of infinite geometric sequences.
• Connect convergence to limits, fractals and Markov chains.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.
4
Learning objective
AHL 1.12 (HL)—Complex numbers
New
• Use i where i^2=-1 and Cartesian form z=a+bi.
• Calculate sums, differences, products, quotients and powers of complex numbers.
• Use Argand diagrams and complex roots of real-coefficient quadratics with negative discriminant.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.
5
Learning objective
AHL 1.13 (HL)—Complex forms and applications
New
• Use polar form z=r(cos theta+i sin theta)=r cis theta and Euler form z=re^(i theta).
• Convert between Cartesian, polar and exponential forms.
• Use products, quotients and integer powers; roots are not required.
• Interpret complex operations geometrically and model sinusoidal phase shifts.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.
6
Learning objective
AHL 1.14 (HL)—Matrices
New
• Use matrix terminology, order, equality, addition, subtraction, scalar multiplication and multiplication.
• Know identity/zero matrices, determinants and inverses; hand calculation is limited to 2x2 inverses/determinants.
• Write systems as Ax=b and solve with inverse matrices; apply matrices to coding, decoding and systems.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.
7
Learning objective
AHL 1.15 (HL)—Eigenvalues and eigenvectors
New
• Find eigenvalues/eigenvectors and characteristic polynomial for 2x2 matrices.
• Diagonalize 2x2 matrices with distinct real eigenvalues.
• Use M^n=PD^nP^-1 for powers and applications such as population movement or predator-prey models.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.