Abitur Mathematics flashcards
Abitur Mathematics · Build recall with a focused review session.
32 cards. Read the term and the definition here. The deck at the top of this page is optional.
- Derivative of e^(g(x))
- By the chain rule, d/dx e^(g(x)) = g'(x)·e^(g(x)). The exponential reproduces itself and the inner derivative multiplies in front.
- Product rule
- For differentiable u and v, (u·v)' = u'·v + u·v'. Differentiate one factor at a time and add the two resulting products.
- Quotient rule
- For v(x) ≠ 0, (u/v)' = (u'·v − u·v') / v². The order in the numerator matters: derivative of the top times bottom minus top times derivative of the bottom.
- Chain rule
- d/dx f(g(x)) = f'(g(x))·g'(x). Differentiate the outer function at the inner function and multiply by the inner derivative.
- Second derivative test
- If f'(x₀) = 0 and f''(x₀) < 0, then f has a local maximum at x₀; if f''(x₀) > 0, it is a local minimum.
- Inflection point condition
- A point where f''(x₀) = 0 and f'' changes sign is an inflection point. The sign change is essential; f'' = 0 alone is not sufficient.
- Definite integral as area
- For f ≥ 0 on [a,b], ∫ₐᵇ f(x) dx is the area between the graph and the x-axis. Regions below the axis contribute negative values.
- Substitution rule
- ∫ f(g(x))·g'(x) dx = F(g(x)) + C where F' = f. For definite integrals, also change the limits from x-values to g(x)-values.
- Tangent line equation
- The tangent to f at x₀ is y = f(x₀) + f'(x₀)·(x − x₀). It passes through the point of tangency with the local slope.
- Dot product
- a·b = a₁b₁ + a₂b₂ + a₃b₃ = |a||b|cos φ. It equals zero exactly when the two vectors are perpendicular.
- Cross product
- a×b is a vector perpendicular to both a and b; its magnitude |a×b| = |a||b|sin φ equals the area of the spanned parallelogram.
- Plane equation in normal form
- A plane is given by n·(x − p) = 0, where n is a normal vector and p is a point in the plane. Expanded, this reads n·x = d.
- Distance point to plane
- d = |n·(q − p)| / |n|, where p lies in the plane and n is its normal. In coordinate form it is |aq₁+bq₂+cq₃−d| / √(a²+b²+c²).
- Distance between skew lines
- For lines p₁ + s·u₁ and p₂ + t·u₂ with direction vectors u₁, u₂, the distance is |(p₂ − p₁)·(u₁×u₂)| / |u₁×u₂|.
- Determinant of a 2×2 matrix
- For A = [[a,b],[c,d]], det A = ad − bc. The matrix is invertible exactly when this value is nonzero.
- Gaussian elimination
- Row operations (swapping, scaling, adding multiples) transform a linear system into row-echelon form without changing its solution set. Back substitution then yields the solutions.
- Angle between line and plane
- The angle φ satisfies sin φ = |u·n| / (|u||n|), where u is the line direction and n the plane normal. The line-plane angle is the complement of the line-normal angle.
- Binomial probability formula
- P(X = k) = C(n,k)·p^k·(1−p)^(n−k) for k = 0,…,n. It counts k successes in n independent trials with constant success probability p.
- Binomial mean and variance
- For X ~ B(n,p): E(X) = n·p and Var(X) = n·p·(1−p), so the standard deviation is σ = √(np(1−p)).
- Conditional probability
- P(A|B) = P(A∩B)/P(B) for P(B) > 0. It is the probability of A given that B has occurred, restricted to the reduced sample space B.
- Independence of events
- Events A and B are independent exactly when P(A∩B) = P(A)·P(B), equivalently P(A|B) = P(A) whenever P(B) > 0.
- Standardisation
- z = (x − μ)/σ converts a normal variable into the standard normal Z with mean 0 and variance 1. Then P(X ≤ x) = Φ(z).
- Standard normal symmetry
- Because the standard normal density is symmetric, Φ(−z) = 1 − Φ(z). This lets you read only positive z-values from the table.
- One-sided upper-tail test
- For H₀: p ≤ p₀ against H₁: p > p₀, reject H₀ at level α if the observed count k satisfies P(X ≥ k | p₀) ≤ α.
- Type-I and type-II errors
- A type-I error rejects a true null hypothesis and has probability at most α. A type-II error fails to reject a false null hypothesis.
- Law of total probability
- If A₁,…,Aₙ partition the sample space, then P(B) = Σ P(Aᵢ)·P(B|Aᵢ). Multiply along tree branches and add across branches.
- Exponential growth model
- f(t) = a·e^(kt) with k > 0 for growth and k < 0 for decay. The doubling time is T = ln 2 / k; the half-life uses |k|.
- Logistic growth
- f(t) = S/(1 + c·e^(−kt)) grows towards the saturation limit S. The growth rate peaks at the inflection point where f = S/2.
- Rate as derivative
- If f(t) describes a quantity, f'(t) is its instantaneous rate of change with units (unit of f) per (unit of t). The integral of the rate gives the total change.
- Average value of a function
- The mean value of f over [a,b] is (1/(b−a))·∫ₐᵇ f(x) dx. It is the constant height giving the same area over the interval.
- Optimisation with a constraint
- Use the constraint to express the objective in one variable, differentiate, solve f' = 0, and verify the extremum with f'' or by checking the interval endpoints.
- Correlation coefficient r
- r lies in [−1,1] and measures the strength of a linear relationship between two data sets. Values near ±1 indicate a strong linear fit; near 0, a weak one.