CBSE Class 12 Maths Formula Sheet

Every formula and key result for CBSE Class 12 Mathematics on one A4 page, organised by NCERT chapter. CBSE gives no formula booklet in the board exam, so learn them all. Deleted topics are left out.

Download PDF

Other sheets: Class 10 formula sheet

CBSE Math Revision crest
CBSE Math Revisioncbsemathrevision.com
CBSE Class 12 MathematicsAll chapters · one-page formula sheet · 2025–26 rationalised syllabus

CBSE gives no formula booklet: learn every result on this sheet. Organised by NCERT chapter.

1 Relations & Functions

Reflexive \((a,a)\in R\ \forall a\); symmetric \((a,b)\in R\Rightarrow(b,a)\in R\); transitive \((a,b),(b,c)\in R\Rightarrow(a,c)\in R\); equivalence = all three
One-one: \(f(x_1)=f(x_2)\Rightarrow x_1=x_2\). Onto: range = codomain. Bijective: both
Counting, \(|A|=m\), \(|B|=n\): \(\text{relations on }A:\ 2^{m^2};\) \(\text{functions }A\to B:\ n^m\)
One-one \(A\to B\) (\(m\le n\)); bijections (\(m=n\)): \(\frac{n!}{(n-m)!};\) \(n!\)

2 Inverse Trigonometric Functions

Principal ranges: \(\sin^{-1}:[-1,1]\to\left[-\tfrac\pi2,\tfrac\pi2\right],\) \(\cos^{-1}:[-1,1]\to[0,\pi],\) \(\tan^{-1}:\mathbb R\to\left(-\tfrac\pi2,\tfrac\pi2\right)\)
More ranges: \(\cot^{-1}:\mathbb R\to(0,\pi),\) \(\sec^{-1}:[0,\pi]-\{\tfrac\pi2\},\) \(\cosec^{-1}:\left[-\tfrac\pi2,\tfrac\pi2\right]-\{0\}\)
\(\sec^{-1}\), \(\cosec^{-1}\) domain: \(\mathbb R-(-1,1)\)
\(\sin(\sin^{-1}x)=x\) for \(x\in[-1,1]\); \(\sin^{-1}(\sin x)=x\) only for \(x\in[-\tfrac\pi2,\tfrac\pi2]\) (similarly for the others)

3 Matrices

Product \(A_{m\times n}B_{n\times p}\) is \(m\times p\); in general \(AB\ne BA\); \(AB=O\) is possible with \(A,B\ne O\)
Transpose: \((A^T)^T=A,\) \((A+B)^T=A^T+B^T,\) \((kA)^T=kA^T,\) \((AB)^T=B^TA^T\)
Symmetric \(A^T=A\); skew-symmetric \(A^T=-A\) (diagonal entries 0)
Any square \(A\): \(A=\tfrac12(A+A^T)+\tfrac12(A-A^T)\)
Inverse: \(AB=BA=I\Rightarrow B\) \({}=A^{-1};\) \((AB)^{-1}=B^{-1}A^{-1}\)

4 Determinants

\(2\times2\): \(\begin{vmatrix}a&b\\c&d\end{vmatrix}\) \({}=ad-bc\)
Minor; cofactor: \(M_{ij};\) \(A_{ij}=(-1)^{i+j}M_{ij}\)
\(|A|=\sum_j a_{ij}A_{ij}\) along any row (or column); elements × cofactors of a different row sum to 0
Area of triangle: \(\tfrac12\left|\begin{vmatrix}x_1&y_1&1\\x_2&y_2&1\\x_3&y_3&1\end{vmatrix}\right|;\) \(\text{collinear}\iff\text{det}\) \({}=0\)
Adjoint = transpose of the cofactor matrix: \(A(\operatorname{adj}A)=(\operatorname{adj}A)A\) \({}=|A|I\)
Inverse: \(A^{-1}=\frac{1}{|A|}\operatorname{adj}A\) \((|A|\ne0)\)
Order \(n\): \(|AB|=|A||B|,\) \(|A^T|=|A|,\) \(|kA|=k^n|A|,\) \(|\operatorname{adj}A|=|A|^{n-1},\) \(|A^{-1}|=\tfrac1{|A|}\)
\(AX=B\): \(|A|\ne0:\ X=A^{-1}B\ \text{(unique)}\)
\(|A|=0\): \((\operatorname{adj}A)B\ne O\) ⇒ inconsistent; \((\operatorname{adj}A)B=O\) ⇒ infinitely many or none

5 Continuity & Differentiability

Continuous at \(c\): \(\lim_{x\to c^-}f(x)=\lim_{x\to c^+}f(x)\) \({}=f(c)\)
Differentiable at \(c\): LHD = RHD; differentiable ⇒ continuous (not conversely, e.g. \(|x|\) at 0)
Standard: \((x^n)'=nx^{n-1},\) \((\sin x)'=\cos x,\) \((\cos x)'=-\sin x,\) \((\tan x)'=\sec^2x\)
More trig: \((\cot x)'=-\cosec^2x,\) \((\sec x)'=\sec x\tan x,\) \((\cosec x)'=-\cosec x\cot x\)
Exp, log: \((e^x)'=e^x,\) \((a^x)'=a^x\log a,\) \((\log x)'=\tfrac1x,\) \((\log_ax)'=\tfrac1{x\log a}\)
Inverse trig: \((\sin^{-1}x)'=\tfrac1{\sqrt{1-x^2}},\) \((\cos^{-1}x)'=-\tfrac1{\sqrt{1-x^2}},\) \((\tan^{-1}x)'=\tfrac1{1+x^2}\)
Rules: \((uv)'=u'v+uv',\) \(\Big(\frac uv\Big)'=\frac{u'v-uv'}{v^2},\) \(\frac{dy}{dx}=\frac{dy}{dt}\cdot\frac{dt}{dx}\)
Logarithmic, \(y=u^v\): \(\log y=v\log u\Rightarrow\frac1y\frac{dy}{dx}\) \({}=v'\log u+\frac{vu'}u\)
Parametric: \(\frac{dy}{dx}=\frac{dy/dt}{dx/dt},\) \(\frac{d^2y}{dx^2}=\frac{\frac d{dt}\left(\frac{dy}{dx}\right)}{dx/dt}\)
Implicit: differentiate term by term, \(\frac{d}{dx}(y^2)=2y\frac{dy}{dx}\)

Log means natural log (base \(e\)) in NCERT.

6 Application of Derivatives

Rate of change: \(\frac{dA}{dt}=\frac{dA}{dr}\cdot\frac{dr}{dt}\)
\(f'(x)>0\) on \((a,b)\): strictly increasing; \(f'(x)<0\): strictly decreasing
Critical point: \(f'(c)=0\) or \(f'(c)\) undefined
First derivative test: \(f'\) changes + → − (max), − → + (min), no change (neither)
Second derivative test: \(f'(c)=0:\) \(f''(c)<0\text{ max},\) \(f''(c)>0\text{ min},\) \(f''(c)=0\text{ test fails}\)
Absolute max/min on \([a,b]\): compare \(f\) at critical points and at \(a\), \(b\)

7 Integrals

Basic: \(\int x^n\,dx=\tfrac{x^{n+1}}{n+1}\) \({}+C\ (n\ne-1),\) \(\int\tfrac1x\,dx=\log|x|+C\)
Exp: \(\int e^x\,dx=e^x+C,\) \(\int a^x\,dx=\tfrac{a^x}{\log a}+C\)
Trig: \(\int\sin x\,dx=-\cos x+C,\) \(\int\cos x\,dx=\sin x+C,\) \(\int\sec^2x\,dx=\tan x+C\)
Trig: \(\int\cosec^2x\,dx=-\cot x+C,\) \(\int\sec x\tan x\,dx=\sec x+C,\) \(\int\cosec x\cot x\,dx=-\cosec x+C\)
Trig: \(\int\tan x\,dx=\log|\sec x|+C,\) \(\int\cot x\,dx=\log|\sin x|+C\)
sec, cosec: \(\int\sec x\,dx=\log|\sec x+\tan x|+C,\) \(\int\cosec x\,dx\) \({}=\log|\cosec x-\cot x|+C\)
Inverse trig: \(\int\frac{dx}{\sqrt{1-x^2}}\) \({}=\sin^{-1}x+C,\) \(\int\frac{dx}{1+x^2}=\tan^{-1}x+C\)
Special: \(\int\frac{dx}{x^2-a^2}=\frac1{2a}\log\left|\frac{x-a}{x+a}\right|+C,\) \(\int\frac{dx}{a^2-x^2}=\frac1{2a}\log\left|\frac{a+x}{a-x}\right|+C\)
Special: \(\int\frac{dx}{x^2+a^2}=\frac1a\tan^{-1}\frac xa+C,\) \(\int\frac{dx}{\sqrt{a^2-x^2}}\) \({}=\sin^{-1}\frac xa+C\)
Special: \(\int\frac{dx}{\sqrt{x^2\pm a^2}}\) \({}=\log\left|x+\sqrt{x^2\pm a^2}\right|+C\)
Root: \(\int\sqrt{a^2-x^2}\,dx=\frac x2\sqrt{a^2-x^2}\) \({}+\frac{a^2}2\sin^{-1}\frac xa+C\)
Root: \(\int\sqrt{x^2\pm a^2}\,dx\) \({}=\frac x2\sqrt{x^2\pm a^2}\) \({}\pm\frac{a^2}2\log\left|x+\sqrt{x^2\pm a^2}\right|+C\)
By parts (ILATE for the first function \(u\)): \(\int uv\,dx=u\int v\,dx\) \({}-\int\Big(u'\int v\,dx\Big)dx\)
Special form: \(\int e^x\big[f(x)+f'(x)\big]dx\) \({}=e^xf(x)+C\)
\(ax^2+bx+c\): complete the square; for \(\frac{px+q}{ax^2+bx+c}\) write \(px+q=A\frac{d}{dx}(ax^2+bx+c)+B\)
Partial fractions: \(\frac{px+q}{(x-a)(x-b)}=\frac A{x-a}\) \({}+\frac B{x-b},\) \(\frac{\dots}{(x-a)^2(x-b)}\) \({}=\frac A{x-a}+\frac B{(x-a)^2}\) \({}+\frac C{x-b}\)
Quadratic factor: \(\frac{\dots}{(x-a)(x^2+bx+c)}\) \({}=\frac A{x-a}+\frac{Bx+C}{x^2+bx+c}\)
Fundamental theorem: \(\int_a^bf(x)\,dx=F(b)-F(a)\)
Properties: \(\int_a^bf=-\int_b^af,\) \(\int_a^bf=\int_a^cf+\int_c^bf,\) \(\int_a^bf(x)\,dx=\int_a^bf(a+b-x)\,dx\)
Properties: \(\int_0^af(x)\,dx=\int_0^af(a-x)\,dx\)
Properties: \(\int_0^{2a}f\,dx=2\int_0^af\,dx\text{ if }f(2a-x)\) \({}=f(x),\) \(0\text{ if }f(2a-x)=-f(x)\)
Even / odd: \(\int_{-a}^af\,dx=2\int_0^af\,dx\text{ (even)},\) \(0\text{ (odd)}\)

8 Application of Integrals

Area: \(\int_a^b|y|\,dx,\) \(\int_c^d|x|\,dy\)
Circle \(x^2+y^2=a^2\): area \(\pi a^2\); ellipse \(\frac{x^2}{a^2}+\frac{y^2}{b^2}=1\): area \(\pi ab\)
Region between a curve and a line: integrate (upper − lower) between the intersection points

9 Differential Equations

Order = highest derivative; degree = power of it (when polynomial in derivatives). General solution has as many constants as the order
Variables separable: \(\int\frac{dy}{g(y)}=\int f(x)\,dx+C\)
Homogeneous \(\frac{dy}{dx}=F\big(\frac yx\big)\): \(y=vx,\) \(\frac{dy}{dx}=v+x\frac{dv}{dx}\)
Linear \(\frac{dy}{dx}+Py=Q\): \(\text{I.F.}=e^{\int P\,dx},\) \(y\cdot\text{I.F.}=\int Q\cdot\text{I.F.}\,dx+C\)
Linear \(\frac{dx}{dy}+P_1x=Q_1\): \(\text{I.F.}=e^{\int P_1\,dy},\) \(x\cdot\text{I.F.}=\int Q_1\cdot\text{I.F.}\,dy+C\)

10 Vector Algebra

Magnitude; unit vector: \(|\vec a|=\sqrt{x^2+y^2+z^2},\) \(\hat a=\frac{\vec a}{|\vec a|}\)
Direction cosines: \(l=\tfrac x{|\vec r|},\ m\) \({}=\tfrac y{|\vec r|},\ n\) \({}=\tfrac z{|\vec r|},\) \(l^2+m^2+n^2=1\)
\(\overrightarrow{PQ}\): \((x_2-x_1)\hat i+(y_2-y_1)\hat j\) \({}+(z_2-z_1)\hat k\)
Section, \(m:n\) internal; external: \(\frac{m\vec b+n\vec a}{m+n};\) \(\frac{m\vec b-n\vec a}{m-n}\)
Dot product: \(\vec a\cdot\vec b=|\vec a||\vec b|\cos\theta\) \({}=a_1b_1+a_2b_2+a_3b_3\)
Perpendicular; projection of \(\vec a\) on \(\vec b\): \(\vec a\cdot\vec b=0;\) \(\frac{\vec a\cdot\vec b}{|\vec b|}\)
Cross product: \(\vec a\times\vec b=|\vec a||\vec b|\sin\theta\,\hat n\) \({}=\begin{vmatrix}\hat i&\hat j&\hat k\\a_1&a_2&a_3\\b_1&b_2&b_3\end{vmatrix}\)
Area: parallelogram; triangle: \(|\vec a\times\vec b|;\) \(\tfrac12|\vec a\times\vec b|\)
Parallelogram from its diagonals: \(\tfrac12|\vec d_1\times\vec d_2|\)
Parallel \(\vec a\times\vec b=\vec 0\); \(\vec a\times\vec b=-\vec b\times\vec a\); \(\hat i\times\hat j=\hat k\), \(\hat j\times\hat k=\hat i\), \(\hat k\times\hat i=\hat j\)

11 Three Dimensional Geometry

DCs from direction ratios \(a,b,c\): \(l=\frac{a}{\sqrt{a^2+b^2+c^2}},\) \(\dots\)
Line through \(\vec a\) parallel to \(\vec b\): \(\vec r=\vec a+\lambda\vec b;\) \(\frac{x-x_1}a=\frac{y-y_1}b\) \({}=\frac{z-z_1}c\)
Through two points: \(\vec r=\vec a+\lambda(\vec b-\vec a);\) \(\frac{x-x_1}{x_2-x_1}=\frac{y-y_1}{y_2-y_1}\) \({}=\frac{z-z_1}{z_2-z_1}\)
Angle between lines: \(\cos\theta=\frac{|a_1a_2+b_1b_2+c_1c_2|}{\sqrt{a_1^2+b_1^2+c_1^2}\sqrt{a_2^2+b_2^2+c_2^2}}\)
Perpendicular; parallel: \(a_1a_2+b_1b_2+c_1c_2=0;\) \(\tfrac{a_1}{a_2}=\tfrac{b_1}{b_2}\) \({}=\tfrac{c_1}{c_2}\)
Shortest distance, skew lines: \(d=\frac{\big|(\vec b_1\times\vec b_2)\cdot(\vec a_2-\vec a_1)\big|}{|\vec b_1\times\vec b_2|}\)
Parallel lines: \(d=\frac{|\vec b\times(\vec a_2-\vec a_1)|}{|\vec b|}\)
Lines intersect ⇔ shortest distance = 0. Foot of perpendicular from \(P\): general point \(Q\) on the line with \(\overrightarrow{PQ}\cdot\vec b=0\)

12 Linear Programming

Maximise/minimise \(Z=ax+by\) subject to linear constraints, \(x,y\ge0\)
Corner point method: the optimum occurs at a corner of the feasible region. Bounded region: both max and min exist
Unbounded: \(M\) is the max only if \(ax+by>M\) has no point in the feasible region (use \(<m\) for the min)

13 Probability

Conditional: \(P(E\mid F)=\frac{P(E\cap F)}{P(F)},\) \(P(F)\ne0\)
Properties: \(P(S\mid F)=1,\) \(P(E'\mid F)=1-P(E\mid F)\)
Multiplication rule: \(P(E\cap F)=P(E)P(F\mid E)\) \({}=P(F)P(E\mid F)\)
Independent: \(P(E\cap F)=P(E)P(F)\)
Union: \(P(E\cup F)=P(E)+P(F)-P(E\cap F)\)
Total probability (partition \(E_1,\dots,E_n\)): \(P(A)=\sum_{j=1}^nP(E_j)P(A\mid E_j)\)
Bayes' theorem: \(P(E_i\mid A)=\frac{P(E_i)P(A\mid E_i)}{\sum_{j=1}^nP(E_j)P(A\mid E_j)}\)
Random variable: \(p_i\ge0,\) \(\sum p_i=1,\) \(E(X)=\mu=\sum x_ip_i\)
CBSE Math Revision · cbsemathrevision.com/formula-sheet-cbse12Independent revision resource. Not produced or endorsed by CBSE or NCERT.2025–26 syllabus · v1 Sept 2026