Maharashtra State Board · Class 12 · All chapters
Mathematics — Complete Formula Sheet
Part I Ch 1 · Mathematical Logic
- 1.Negation
: A statement (truth value T or F) · : Negation of p, read 'not p'
Negation reverses the truth value. In words, add 'not' or 'It is false that…' to the statement.
- 2.Conjunction (and)
: Component statements
Words such as 'and', 'but', 'yet', 'still' all give a conjunction. One false component makes the whole statement false.
- 3.Disjunction (or)
Mathematical 'or' is inclusive: p ∨ q is true when at least one of p, q is true, including when both are.
- 4.Conditional (if … then)★
p is the antecedent, q the consequent. Also read as 'p only if q', 'q if p', 'p is sufficient for q', 'q is necessary for p'.
- 5.Biconditional (if and only if)
Read 'p if and only if q' or 'p is necessary and sufficient for q'.
- 6.Number of Rows in a Truth Table
: Number of simple statements in the pattern
Two statements need 4 rows, three statements need 8 rows. Use the order TT, TF, FT, FF for two statements.
- 7.Tautology and Contradiction★
Tautology: last column all T. Contradiction: last column all F. Contingency: a mixture of T and F.
- 8.Conditional as a Disjunction
The most useful equivalence of the chapter. Use it to remove → before applying De Morgan's laws or finding a dual.
- 9.Converse, Inverse and Contrapositive
All three are formed from the conditional p → q. Write each one in words when the statement is given in words.
- 10.Contrapositive Equivalence★
A conditional and its contrapositive always have the same truth table. So do the converse and the inverse.
- 11.Biconditional as Two Conditionals
Use this to prove a biconditional or to find its negation.
- 12.Duality
Replace ∧ by ∨, ∨ by ∧, t by c and c by t (in duality the textbook writes t for a tautology and c for a contradiction). Negation signs and the statements stay as they are. Remove → and ↔ first.
- 13.De Morgan's Laws★
Negate each component AND switch the connective. 'Not (A and B)' means 'not A or not B'.
- 14.Negation of a Conditional★
The negation of 'If p then q' is 'p and not q' — it is NOT another if-then sentence.
- 15.Negation of a Biconditional
Follows from p ↔ q ≡ (p → q) ∧ (q → p), then De Morgan and the negation of each conditional.
- 16.Negation of Quantified Statements★
: Universal quantifier: 'for all', 'for every' · : Existential quantifier: 'there exists', 'for some' · : Open sentence in the variable x
'For every' becomes 'there exists' and vice versa; the open sentence p(x) is negated. The set (N, Z, R…) does not change.
- 17.Distributive Laws
Each connective distributes over the other. Read right to left, they let you take a common statement outside a bracket.
- 18.Identity and Involution Laws
T is any tautology and F any contradiction. These laws finish most simplifications after a distributive step.
Part I Ch 2 · Matrices and Determinants
- 1.Matrix Multiplication★
Row × column dot product. Defined only when columns of A = rows of B.
- 2.Non-commutativity
Matrix multiplication is NOT commutative except in special cases.
- 3.Transpose
Reversal rule for transpose of product.
- 4.Determinant of 3×3★
Cofactor expansion along first row. Use any row/column with zeros for simplicity.
- 5.Properties of Determinants★
Row swap changes sign; adding multiple of one row to another leaves |A| unchanged.
- 6.Adjoint (adjugate)★
Transpose of the cofactor matrix. Basis of inverse formula.
- 7.A · adj(A) = |A|·I★
Fundamental identity linking adjoint and determinant. Use to verify computed adjoint.
- 8.Inverse of a Matrix★
A is invertible iff |A| ≠ 0. Then AA⁻¹ = A⁻¹A = I.
- 9.Solving Linear System — Matrix Method★
Rewrite the system as AX = B, invert A, multiply by B.
- 10.Cramer's Rule★
Alternative to A⁻¹B method. Compact for 2×2 and 3×3 systems.
- 11.Consistency Criterion
State all three cases in theory questions on consistency.
- 12.Elementary Row Operations
Preserve solution set. Used in row reduction / Gauss elimination.
Part I Ch 3 · Trigonometric Functions
- 1.Principal Solutions
Solutions of a trigonometric equation lying in [0, 2π) are its principal solutions. For sin θ = 1/2 they are π/6 and 5π/6.
- 2.Equations with Zero Right Side
: Any integer (n ∈ Z)
Here n ∈ Z. Factorise the equation first and set each factor equal to zero.
- 3.General Solution of sin θ = sin α★
: A known angle with the same sine (radians)
Choose α in [−π/2, π/2]. For n even the term is +α, for n odd it is −α.
- 4.General Solution of cos θ = cos α★
Choose α in [0, π]. Do not mix this up with the sine result.
- 5.General Solution of tan θ = tan α
Choose α in (−π/2, π/2). The period of tan is π, so no ± and no (−1)ⁿ.
- 6.Squared Forms
All three squared equations have the same general solution. Useful when the equation contains sin²θ = 1/4 or tan²θ = 3.
- 7.Polar Co-ordinates
: Radius vector: distance OP of the point from the pole (origin), r > 0 — the pole itself has no polar co-ordinates · : Vectorial angle from the polar axis (positive x-axis), 0 ≤ θ < 2π
Use the signs of x and y to decide the quadrant of θ — tan θ alone does not fix it.
- 8.Sine Rule★
: Sides opposite angles A, B, C · : Circumradius of the triangle
Writing a = k sin A, b = k sin B, c = k sin C (k = 2R) converts any side expression into angles.
- 9.Cosine Rule★
Similarly cos B = (c² + a² − b²)/(2ca) and cos C = (a² + b² − c²)/(2ab). A negative cosine means an obtuse angle.
- 10.Projection Rule
Each side equals the sum of the projections of the other two sides on it.
- 11.Half-Angle Formulas★
: Semi-perimeter, s = (a + b + c)/2
Positive square roots are taken because A/2 is acute. Write the formulas for B/2 and C/2 by cycling a → b → c.
- 12.Area of a Triangle
: Area of triangle ABC (square units)
Use ½bc sin A when two sides and the included angle are known, Heron's form when all three sides are known.
- 13.Napier's Analogy
Cyclic forms: tan((C − A)/2) = ((c − a)/(c + a)) cot(B/2) and tan((A − B)/2) = ((a − b)/(a + b)) cot(C/2).
- 14.Principal Value Branches
Also cot⁻¹x ∈ (0, π), sec⁻¹x ∈ [0, π] − {π/2}, cosec⁻¹x ∈ [−π/2, π/2] − {0}. Domain of sin⁻¹ and cos⁻¹ is [−1, 1].
- 15.Inverse of Negative Arguments
cos⁻¹ and cot⁻¹ follow the 'π minus' rule because their range is not symmetric about 0: cot⁻¹(−x) = π − cot⁻¹x.
- 16.Complementary Sums
Valid for |x| ≤ 1 (first), all real x (second) and |x| ≥ 1 (third).
- 17.Sum and Difference of tan⁻¹★
Check the condition before using it. If x, y > 0 and xy > 1, the sum is π + tan⁻¹((x + y)/(1 − xy)).
- 18.Composition with Inverse Functions
Outside the principal range, sin⁻¹(sin θ) is NOT θ: sin⁻¹(sin 5π/6) = π/6.
Part I Ch 4 · Pair of Straight Lines
- 1.Combined Equation of Two Lines
Multiply the two equations written in the form u = 0, v = 0. A point lies on the pair if it lies on at least one of the lines.
- 2.Pair of Lines through Origin from Slopes
: Slopes of the two lines
Lines y = m₁x and y = m₂x. Expanding the product gives a homogeneous equation of degree two.
- 3.Homogeneous Equation of Degree Two
: Coefficients of x² and y² · : Half the coefficient of xy
Every term has degree two, so (0, 0) always satisfies it. If h² − ab < 0, only the origin satisfies the equation — there are no real lines.
- 4.Auxiliary Equation in m
Its two roots are the slopes m₁ and m₂ of the lines (when b ≠ 0). If b = 0, one line is x = 0.
- 5.Sum and Product of Slopes★
Sum = −(coefficient of xy)/(coefficient of y²); product = (coefficient of x²)/(coefficient of y²).
- 6.Nature of the Lines
Coincident means the equation is a perfect square, e.g. x² − 6xy + 9y² = (x − 3y)².
- 7.Acute Angle between the Lines★
: Acute angle between the two lines
θ is the acute angle. If a + b = 0 the formula breaks down because θ = 90°.
- 8.Condition for Perpendicular Lines
Coefficient of x² + coefficient of y² = 0, e.g. 3x² + 8xy − 3y² = 0. The value of h does not matter.
- 9.Condition for Coincident Lines
For ax² + 2hxy + by² = 0: then tan θ = 0, so the two lines coincide. For the general second-degree equation, h² = ab means the two lines are parallel.
- 10.Pair through Origin Perpendicular to a Given Pair★
Swap the coefficients of x² and y² and change the sign of the xy term. Check: the new slopes are −1/m₁ and −1/m₂.
- 11.General Equation of Second Degree
: Half the coefficients of x and y · : Constant term
Read the coefficients in this form: half of the xy, x and y coefficients give h, g and f.
- 12.Necessary Conditions for a Pair of Lines★
The textbook calls these necessary conditions: use them to find an unknown such as k. To show that an equation does represent a pair of lines, factorise it into two linear factors. The determinant is linear in c, so 'find k' questions with k as the constant are quick.
- 13.Point of Intersection of the Lines
Solving the two linear equations is usually easier than remembering the formula. Requires ab − h² ≠ 0 (lines not parallel).
- 14.Lines through Origin Parallel to the Pair
The second-degree part alone gives two lines through the origin parallel to the given pair, so the angle formula tan θ = |2√(h² − ab)/(a + b)| also applies to the general equation.
Part I Ch 5 · Vectors and Three-Dimensional Geometry
- 1.Vector Addition and Scalar Multiplication
Component-wise addition. Scalar multiplication kâ = ka₁î + ka₂ĵ + ka₃k̂.
- 2.Magnitude and Unit Vector★
Magnitude is nonnegative. Unit vector has magnitude 1.
- 3.Dot Product★
Scalar quantity. â·b̂ = cos θ; perpendicular ⟺ a·b = 0.
- 4.Cross Product★
Vector perpendicular to both a and b. |a × b| = |a||b|sin θ. Right-hand rule.
- 5.Area of Parallelogram / Triangle
Simple geometric use of cross product.
- 6.Scalar Triple Product★
Volume of parallelepiped. Cyclic permutation preserves value; swap changes sign.
- 7.Coplanarity Condition★
Three vectors are coplanar iff their scalar triple product vanishes.
- 8.Vector Line Equation★
a = position vector of a point on line; b = direction vector; λ ∈ R.
- 9.Cartesian Line Equation
(l, m, n) direction ratios; (x₀, y₀, z₀) a point on line.
- 10.Plane in Vector Form★
n̂ = unit normal, d = perpendicular distance from origin. Cartesian: lx + my + nz = d.
- 11.Angle between Two Lines / Planes
For planes use normals; for line and plane use sin θ = |n·b|/(|n||b|).
- 12.Shortest Distance between Skew Lines★
Only for skew lines (non-parallel, non-intersecting). Coplanar ⇒ numerator = 0.
Part I Ch 6 · Line and Plane
- 1.Line through a Point, Parallel to a Vector
: Position vector of a known point A on the line · : Direction vector of the line · : Scalar parameter (λ ∈ R)
Each value of the scalar λ gives one point on the line. Any non-zero multiple of b is also a direction vector.
- 2.Cartesian Form of a Line
: A point on the line · : Direction ratios of the line
Symmetric form of the same line. Setting each ratio equal to λ gives the general point (x₁ + aλ, y₁ + bλ, z₁ + cλ).
- 3.Line through Two Points
The direction vector is the vector joining the two points, b − a.
- 4.Angle between Two Lines
Perpendicular: a₁a₂ + b₁b₂ + c₁c₂ = 0. Parallel: a₁/a₂ = b₁/b₂ = c₁/c₂. Only the direction vectors matter.
- 5.Distance of a Point from a Line★
: Position vector of the given point P · : Unit vector along the line
The second form is Pythagoras: AP² minus the square of the projection of AP on the line.
- 6.Shortest Distance between Skew Lines★
For lines r = a₁ + λb₁ and r = a₂ + μb₂ that are neither parallel nor intersecting. The numerator is a scalar triple product.
- 7.Distance between Parallel Lines
For r = a₁ + λb and r = a₂ + μb. This is the distance of the point A₂ from the first line.
- 8.Condition for Two Lines to Intersect (Coplanarity)★
Two non-parallel lines intersect exactly when they are coplanar, i.e. when the shortest distance is zero.
- 9.Plane in Normal Form
: Unit vector normal to the plane · : Distance of the plane from the origin
p ≥ 0 is the perpendicular distance of the plane from the origin and (l, m, n) are the direction cosines of the normal. To reduce ax + by + cz = d (d > 0), divide by √(a² + b² + c²).
- 10.Plane through a Point, Perpendicular to a Vector
Equivalently r · n = a · n. Here (a, b, c) are direction ratios of the normal and (x₁, y₁, z₁) is the given point.
- 11.Plane through Three Non-collinear Points★
Vector form: (r − a) · [(b − a) × (c − a)] = 0. The cross product (b − a) × (c − a) is a normal to the plane.
- 12.Plane through the Intersection of Two Planes
Cartesian: (a₁x + b₁y + c₁z − d₁) + λ(a₂x + b₂y + c₂z − d₂) = 0. One more condition (a point, or parallel/perpendicular to something) fixes λ.
- 13.Angle between Two Planes
The angle between planes is the angle between their normals. Perpendicular planes: n₁ · n₂ = 0; parallel planes: n₁ = kn₂.
- 14.Angle between a Line and a Plane
: Direction vector of the line · : Normal vector of the plane
θ is the complement of the angle between the line and the normal, so sin replaces cos.
- 15.Line Parallel or Perpendicular to a Plane
A line parallel to the plane is perpendicular to its normal; a line perpendicular to the plane is along its normal.
- 16.Distance of a Point from a Plane★
: The given point, with position vector α · : Constant term of the plane ax + by + cz + d₀ = 0
First form for the plane r · n = p; second for ax + by + cz + d₀ = 0. Move every term to the left side before substituting.
Part I Ch 7 · Linear Programming
- 1.Linear Inequation as a Half-plane
The line ax + by = c divides the plane into two half-planes; the solution set of the inequation is one of them, including the line.
- 2.Plotting the Boundary Line by Intercepts
Valid when a, b, c are all non-zero. If c = 0 the line passes through the origin — use another point such as (1, −a/b).
- 3.Origin Test
If the inequality is true at (0, 0), shade the side containing the origin; otherwise shade the other side. If the line passes through the origin, test a point like (1, 0).
- 4.Translating Word Conditions
Availability of a resource (hours, money, storage) gives '≤'. A minimum requirement (nutrients, demand) gives '≥'.
- 5.Mathematical Form of an LPP★
: Decision variables (quantities to be decided) · : Objective function (profit, cost, …) · : Profit or cost per unit of x and y
Three parts: decision variables x, y; the linear objective function Z; and the linear constraints, including non-negativity.
- 6.Non-negativity Constraints
Quantities produced or bought cannot be negative, so the feasible region always lies in the first quadrant.
- 7.Feasible Region
The common region of all the half-planes. It is a convex set — bounded (a polygon) or unbounded. Each point of R is a feasible solution.
- 8.Corner Point from Two Boundary Lines
Cramer's rule for the intersection of two lines. Elimination is equally good — just do not estimate from the graph.
- 9.Corner Point Theorem★
For a bounded feasible region both the maximum and the minimum exist. Evaluate Z at every corner point and compare.
- 10.Multiple Optimal Solutions★
Happens when the objective line is parallel to a boundary edge PQ of the region. Infinitely many optimal solutions.
- 11.Unbounded Feasible Region
Otherwise Z has no maximum. For a minimum, take m = smallest corner value and check that c₁x + c₂y < m has no point in R.
- 12.Infeasible Problem
If the constraints contradict each other (e.g. x + y ≤ 2 and x + y ≥ 5), there is no region to shade and no optimal solution.
Part II Ch 1 · Differentiation
- 1.Definition (first principle)
Ab initio definition; used when derivative rules do not apply directly.
- 2.Sum, Product, Quotient Rules★
Fundamental algebra of derivatives. Do not confuse product and quotient rules.
- 3.Chain Rule★
Differentiate outer function, keep inner unchanged, multiply by inner derivative.
- 4.Derivatives of Standard Functions★
Baseline table; memorise all six trigonometric derivatives and their inverses.
- 5.Inverse Trigonometric Derivatives
Note the domains: |x| < 1 for sin⁻¹; all real x for tan⁻¹.
- 6.Logarithmic Differentiation★
Take log both sides, then differentiate implicitly. Essential for x^x-type problems.
- 7.Implicit Differentiation★
Alternative: differentiate both sides w.r.t. x treating y as function of x; then solve for dy/dx.
- 8.Parametric Differentiation★
Cancel dt; use chain rule. For d²y/dx² differentiate w.r.t. x again and use dt/dx.
- 9.Second-order Parametric Derivative
Do NOT just do (d²y/dt²)/(d²x/dt²) — that gives a wrong answer.
- 10.Higher-Order Derivatives
Apply the derivative n times. Used in Taylor series, mean-value theorem.
- 11.Logarithm of a Product
Useful in log-differentiation to simplify products/quotients before differentiating.
Part II Ch 2 · Applications of Derivatives
- 1.Rate of Change★
Applies to related-rates: chain rule links two changing quantities.
- 2.Approximation (Differential)★
First-order Taylor expansion. dy = f'(x) dx is the differential of y.
- 3.Slope of Tangent and Normal
Normal is perpendicular to tangent. Slope product = −1.
- 4.Equation of Tangent Line
Point-slope form. Verify the point (x₀, y₀) lies on the curve first.
- 5.Increasing / Decreasing on Interval★
Establish sign of f'(x) on the interval. Zero at endpoints doesn't spoil monotonicity.
- 6.First Derivative Test (extrema)★
Sign change + to − ⇒ local maximum. Sign change − to + ⇒ local minimum.
- 7.Second Derivative Test★
Inconclusive if f''(x₀) = 0; use higher-order test or first-derivative test.
- 8.Global Maximum on Closed Interval
c_i are critical points inside [a,b]. Compare all these values.
- 9.Rolle's Theorem★
State all three conditions explicitly for full marks.
- 10.Lagrange's Mean Value Theorem
Generalisation of Rolle's; no requirement f(a) = f(b).
- 11.Percentage Error
Useful for volume of a sphere, area of a circle, cube — small measurement errors.
- 12.Angle of Intersection of Curves
m₁, m₂ are slopes of the two curves at the point of intersection.
Part II Ch 3 · Integration
- 1.Fundamental Theorem of Calculus★
Links definite integration to antiderivatives. F is any antiderivative of f.
- 2.Standard Integrals★
Basic table; add +C in indefinite form.
- 3.Trigonometric Integrals
Memorise all six. Sign errors are the most common HSC mistake.
- 4.Exponential and Log Integrals
Note the ln a in denominator for general base a.
- 5.Integration by Substitution★
Change variable so that du = g'(x) dx and integrand becomes tractable.
- 6.Integration by Parts (ILATE)★
ILATE order: Inverse trig, Logarithmic, Algebraic, Trigonometric, Exponential. Choose u higher up in the list.
- 7.Partial Fractions★
Compute A, B by cover-up rule or comparing coefficients. For repeated roots include (x−a)² term as well.
- 8.Definite Integral Property (1)★
Powerful trick for symmetric integrands. Also (0,a): ∫f(x) = ∫f(a−x).
- 9.Definite Integral Property (2 — even/odd)
Recognise sin, cos, x symmetries. Saves half the work.
- 10.Reduction Formulae
Repeated integration by parts. Similar formula for cosⁿ x.
- 11.Definite Integral as Limit of a Sum★
Riemann sum definition. Use Σr = n(n+1)/2, Σr² = n(n+1)(2n+1)/6.
- 12.Common Trigonometric Substitutions
Choose based on the surd. Simplifies to a·cos, a·sec, a·tan respectively.
Part II Ch 4 · Definite Integration
- 1.Definite Integral as Limit of a Sum★
: Lower and upper limits of integration · : Number of equal sub-intervals · : Width of each sub-interval, (b − a)/n
Divide [a, b] into n equal strips of width h, add the strip areas h·f(a + rh), then let n → ∞. Simplify the sum with the standard Σ results before taking the limit.
- 2.Standard Sums for Limit-of-Sum Questions
For an exponential integrand the sum is a G.P.: use a(rⁿ − 1)/(r − 1) and the limit (eʰ − 1)/h → 1 as h → 0.
- 3.Fundamental Theorem of Integral Calculus★
: Any antiderivative (indefinite integral) of f(x)
Find any antiderivative F, substitute the upper limit, then subtract the value at the lower limit. No constant of integration is needed — it cancels.
- 4.Property: Change of Variable Name
The variable of integration is a dummy variable. This is what lets you rename t back to x at the end of every property proof.
- 5.Property: Interchanging the Limits
Swapping the limits changes the sign. Used in almost every proof after a substitution reverses the limits.
- 6.Property: Splitting the Interval
Use it for modulus functions, greatest-integer functions and piecewise definitions — split at the point where the formula of f changes.
- 7.Property: a + b − x★
Works for any limits a to b. Typical use: an integrand like √x/(√x + √(a + b − x)), where the two integrands add up to 1, so 2I = b − a.
- 8.Property: a − x (lower limit zero)★
The special case of the a + b − x property with lower limit 0. With a = π/2 it swaps sin x and cos x.
- 9.Property: Splitting 0 to 2a
Split at a, then substitute x = 2a − t in the second piece. Leads directly to the next property.
- 10.Property: 0 to 2a with f(2a − x) = ± f(x)
Example: sin(π − x) = sin x, so ∫₀^π sin x dx = 2∫₀^{π/2} sin x dx = 2. And cos(π − x) = −cos x, so ∫₀^π cos x dx = 0.
- 11.Property: Even and Odd Functions★
Test f(−x) for the whole integrand. x², cos x, |x| are even; x³, sin x, tan x are odd; odd × even is odd, odd × odd is even.
- 12.Substitution in a Definite Integral
Change the limits to u = g(a) and u = g(b) as soon as you substitute; then you never need to return to x.
- 13.Integration by Parts for Definite Integrals
Choose u by the ILATE order, as in indefinite integration. Apply the limits to the first term as well as to the remaining integral.
- 14.Standard Result: sinⁿ x over sinⁿ x + cosⁿ x
Holds for any power n (including n = 1/2, i.e. √sin x). The same idea works with tan x and cot x.
- 15.Standard Result: ∫ log sin x from 0 to π/2
Here log means natural logarithm (base e), as in the textbook. Learn the proof — it uses three different properties.
Part II Ch 5 · Application of Definite Integration
- 1.Area Bounded by a Curve and the x-axis★
: Area of the region (sq. units) · : Equation of the curve · : x-coordinates of the bounding vertical lines
Region between y = f(x), the x-axis and the lines x = a, x = b. Uses vertical strips of height y and width dx.
- 2.Area Bounded by a Curve and the y-axis
: Equation of the curve solved for x · : y-coordinates of the bounding horizontal lines
Region between x = g(y), the y-axis and the lines y = c, y = d. Uses horizontal strips; the limits are y-values.
- 3.Region Below the x-axis
The integral comes out negative when the curve lies below the axis; the area is its absolute value.
- 4.Curve Crossing the x-axis
Here f ≥ 0 on [a, c] and f ≤ 0 on [c, b]. Find every root c between a and b and split there; otherwise positive and negative parts cancel.
- 5.Area Between Two Curves (vertical strips)★
: Upper curve · : Lower curve
Always upper curve minus lower curve. The limits a and b are usually the x-coordinates of the points of intersection.
- 6.Area Between Two Curves (horizontal strips)
: Right-hand curve, x = φ(y) · : Left-hand curve, x = ψ(y)
Right curve minus left curve, with y-limits. Useful when the curves are naturally given as x in terms of y.
- 7.Limits from Points of Intersection
Solve the two equations simultaneously. Check which curve is on top by substituting one x-value between a and b.
- 8.Quarter-Circle Integral
Comes from ∫√(a² − x²) dx = (x/2)√(a² − x²) + (a²/2) sin⁻¹(x/a) + c. Needed for every circle and ellipse question.
- 9.Area of a Circle★
The circle is symmetric about both axes, so take 4 × the first-quadrant area, where y = √(a² − x²).
- 10.Area of an Ellipse★
: Semi-axes along the x- and y-axes (semi-major and semi-minor when a > b)
In the first quadrant y = (b/a)√(a² − x²). For a = b it reduces to the circle πa².
- 11.Parabola Cut Off by its Latus Rectum
The parabola is symmetric about the x-axis, so double the area above it, where y = 2√(ax).
- 12.Parabola and a Line Through the Vertex
The curves meet at (0, 0) and (4a/m², 4a/m). The parabola is the upper curve between them. Use it to check your answer, but show the integration in the exam.
- 13.Area Between y² = 4ax and x² = 4ay
The parabolas meet at (0, 0) and (4a, 4a). y² = 4ax is the upper curve between them. More generally, y² = 4ax and x² = 4by enclose 16ab/3.
Part II Ch 6 · Differential Equations
- 1.Order and Degree
Order = order of the highest derivative present. Degree = power of that highest-order derivative, once the equation is a polynomial in the derivatives.
- 2.Degree After Clearing Radicals
Remove fractional powers first (here, square both sides): order 2, degree 2. If a derivative sits inside sin, log, e^( ) etc., the degree is not defined.
- 3.Formation of a Differential Equation
Differentiate the given relation as many times as there are arbitrary constants, then eliminate the constants between the equations.
- 4.General and Particular Solution
A general solution has as many arbitrary constants as the order. A particular solution is obtained by fixing the constants from given conditions.
- 5.Variables Separable★
Collect all y-terms with dy and all x-terms with dx, then integrate both sides. Only one constant is needed.
- 6.Reducible to Variables Separable
Example: dy/dx = (x + y)². Put x + y = v, so dv/dx = 1 + v², which separates.
- 7.Homogeneous Function
f is homogeneous of degree n. dy/dx = f(x, y)/g(x, y) is a homogeneous equation when f and g are homogeneous of the same degree.
- 8.Homogeneous Equation: Substitution★
After substituting, x cancels from the right-hand side and the equation separates in v and x. Replace v by y/x at the end.
- 9.Linear Differential Equation
: Coefficient of y, a function of x · : Right-hand side, a function of x
P and Q are functions of x only (or constants). y and dy/dx appear only to the first power and are not multiplied together.
- 10.Integrating Factor
Find P only after the coefficient of dy/dx is 1. Simplify with e^(log f(x)) = f(x).
- 11.Solution of a Linear Equation★
The integrating factor appears on BOTH sides. Integrate the right-hand side carefully — it often needs integration by parts.
- 12.Linear Equation in x
Use it when the equation is linear in x rather than y; here P and Q are functions of y.
- 13.Law of Natural Growth and Decay★
: Amount present at time t · : Initial amount (at t = 0) · : Constant of proportionality (per unit time)
k > 0 for growth (population, bacteria), k < 0 for decay (radioactive substance). x₀ is the amount at t = 0.
- 14.Half-Life
For decay written as dx/dt = −kx with k > 0. The half-life does not depend on the initial amount. log is the natural logarithm.
- 15.Newton's Law of Cooling★
: Temperature of the body at time t (°C) · : Temperature of the surroundings (°C), constant · : Positive constant (per unit time)
The rate of cooling is proportional to the excess of the body's temperature over its surroundings. C is the initial excess temperature, θ(0) − θ₀.
Part II Ch 7 · Probability Distributions
- 1.Classical Definition
Ratio of favourable outcomes to total outcomes (equally likely sample space).
- 2.Addition Theorem★
Subtract intersection to avoid double counting. For mutually exclusive events, P(A ∩ B) = 0.
- 3.Conditional Probability★
Probability of A given B has occurred. Restricts sample space to B.
- 4.Multiplication Theorem
For independent events P(A ∩ B) = P(A)·P(B).
- 5.Total Probability Theorem★
A_i are a partition of the sample space (mutually exclusive and exhaustive).
- 6.Bayes Theorem★
Reverse conditional probability using prior P(A_i) and likelihood P(B|A_i).
- 7.Probability Distribution of Random Variable★
Tabulate all values x_i and their probabilities p_i. Sum of column = 1.
- 8.Expectation (mean)★
Weighted average of outcomes weighted by their probabilities.
- 9.Variance and Standard Deviation
Expected squared deviation from the mean. Var(X) = E(X²) − [E(X)]².
- 10.Binomial Distribution (PMF)★
n independent Bernoulli trials with success probability p. Random variable X = number of successes.
- 11.Binomial Mean and Variance
Mean and variance of binomial. Standard deviation = √(npq).
- 12.Independence
Independence means one event does not affect the other's probability.
Part II Ch 8 · Binomial Distribution
- 1.Bernoulli Trial
: Probability of success in one trial · : Probability of failure in one trial, 1 − p
A trial with exactly two outcomes. For a sequence of Bernoulli trials, the trials are independent and p stays the same from trial to trial.
- 2.Bernoulli Distribution (one trial)
X counts successes in a single trial. It is the binomial distribution with n = 1.
- 3.Binomial Distribution Notation
X is the number of successes in n Bernoulli trials. The two parameters n and p fix the whole distribution.
- 4.Binomial Probability Formula★
: Number of trials · : Number of successes (0 to n) · : Probabilities of success and failure in one trial
ⁿCₓ counts the arrangements of x successes among n trials; pˣqⁿ⁻ˣ is the probability of any one such arrangement.
- 5.Probabilities as Terms of a Binomial Expansion
The probabilities P(X = 0), P(X = 1), …, P(X = n) are the successive terms of (q + p)ⁿ, which is why they add up to 1.
- 6.No Successes and All Successes
The two end terms of the expansion. ⁿC₀ = ⁿCₙ = 1.
- 7.At Least One Success★
Use the complement. This also answers 'how many trials are needed' questions: solve 1 − qⁿ > k for the least whole number n.
- 8.Cumulative Probabilities
Choose whichever side has fewer terms. P(X > r) = 1 − P(X ≤ r), not 1 − P(X ≤ r − 1).
- 9.Fair Coin Case
For tosses of a fair coin (or any p = 1/2 situation) every probability has denominator 2ⁿ.
- 10.Mean of a Binomial Distribution★
The expected number of successes. Units are the same as X (number of successes).
- 11.Variance of a Binomial Distribution★
Equivalently np(1 − p). It is largest, for a fixed n, when p = q = 1/2.
- 12.Standard Deviation
Square root of the variance. Do not confuse σ with σ².
- 13.Variance is Less Than the Mean
Holds whenever 0 < p < 1. If a question gives a variance larger than the mean, no binomial distribution fits.
- 14.Finding n and p from Mean and Variance
Divide the variance by the mean to get q. n must come out as a positive whole number — if it does not, recheck the arithmetic.