Section headings
1. Limits
concept of limits
Algebra of limits
Standard limits
Theorem lim x →0 (sin x)/x = 1
Exponential limits
Infinity
Definition of lim x→∞ f(x) = l
Continuity
Left and right hand limits
Concept of continuity
Removable discontinuity
Algebra of continuous functions
Continuity in an interval
Continuity of standard functions
2. Differentiation
Definition of derivative
Leibnitz’s notation
Definition of dy/dx
Standard derivatives (table)
The algebra of derivatives
Differentiability and continuity
Derivative of composite functions
Derivatives of some standard composite functions (table)
Derivatives of inverse functions
Derivatives of inverse circular functions
Logarithmic differentiation
Differentiation of implicit functions
Differentiation of parametric functions
Higher order derivatives
3. Applications of derivatives
Geometrical and physical meaning of derivative
Gradient of a slope
Rate measures, related rates
Approximation and errors
Interpretation and the sign of the derivative
Increasing and decreasing functions
Maximum and minimum
4. Integration
Revision of XI class
Defintion
Standard froms
Indefinite integrals
∫(a sinx + bcos x)dx/(c sin x + d cos x)
Some more standard forms
∫ dx/ (x²+a²)
∫dx/(x²-a²)
∫dx/(a²-x²)
Method of substitution
Linear substitution
Integration of odd powers of sin x or cos x
Integration of even powers of sin x or cos x
Integration of any power of tan x or cot x
Integration of even powers of sec x or cosec x
Integration of functions involving square roots
Integration by parts
∫ √ (x²+a²)dx
∫√ (x²-a²)dx
∫√ (a²-x²)dx
∫e^x[f9x0+f ‘(x0]dx = e^xf(x) + c
Integration by partial fractions
Distinct linear factors
Disguised linear factors
Repeated linear factors
Nonrepeated quadratic factors
5. Definite Integration
Definition
Change of variables
Integral as a limit of sum
The definite integral
Fundamental theorem of integral calculus
Properties of definite integration
6. Applications of definite integral
Introduction
Area under a curve
Loop of curve
Volume of a solid of revolution
7. Differential equations
Introduction
Definitions
Formation of differential equations
Solutions of equations of first order and first degree
Equations with separable variables
Homogeneous differential equations
8. Applications of differential equations
Introduction
Growth and decay
9. Numerical methods
Introduction
Finite differences
Basic terms
Forward difference table
Backward differences
Shift operator
Relation between E and Δ
Interpolation
Newton’s backward interpolation formula
Lagrange interpolation formula
Numerical integration
Division of an interval
Trapezoid rule for ∫a to b ydx
Simpson’s (1/3)rd and (3/8)th rules for for ∫a to b ydx
10. Boolean Algebra
Introduction
Boolean algebra as algebraic structure
Principles of duality
The duality principle
Theorem: The identities 0 and 1 are unique in B.
Working with distributive laws in Boolean algebra.
Some more useful results of Boolean algebra
Idempotent laws
Absorption laws
De Morgan’s laws
Boolean functions and switching circuit
Boolean functions
Application of Boolean algebra to switching circuits
Writing Boolean expressions using gates
Thursday, December 25, 2008
Standard 12 Mathematics Paper II Textbook Chapters Paper II
1. Limits
2. Differentiation
3. Applications of derivatives
4. Integration
5. Definite Integration
6. Applications of definite integral
7. Differential equations
8. Applications of differential equations
9. Numerical methods
10. Boolean Algebra
2. Differentiation
3. Applications of derivatives
4. Integration
5. Definite Integration
6. Applications of definite integral
7. Differential equations
8. Applications of differential equations
9. Numerical methods
10. Boolean Algebra
Thursday, June 12, 2008
Differentiation - 1
Introduction
2. Derivative from first principless
Definition of derivative
Lebnitz/s notation
Standard forms
Algebra of derivatives
2. Derivative from first principless
Definition of derivative
Lebnitz/s notation
Standard forms
Algebra of derivatives
Derivatives - 4
Derivatives of composite functions
If y = f(u) and u = g9x) then y = f[g(x)] is a composite function of x.
example y = u³ and u = 3x+4
y = (3x+4)³ is a composite function
If y = f(u) and u = g9x) then y = f[g(x)] is a composite function of x.
example y = u³ and u = 3x+4
y = (3x+4)³ is a composite function
Differenentiation - 6
Logarithmic differentiation
y = [f(x)]g(x)
take logarithms on both sides
log y = g(x) log [f(x)]
Differntiate
y = [f(x)]g(x)
take logarithms on both sides
log y = g(x) log [f(x)]
Differntiate
Ch. 2 Differentiation - 8
Differentiation of parametric functions
y is given as f(t) and x is given as g(t)
we have to find dy/dx
dy/dx = (dy/dt) *( dt/dx)
y is given as f(t) and x is given as g(t)
we have to find dy/dx
dy/dx = (dy/dt) *( dt/dx)
Applications of Derivatives - 1
Introduction
Geometrical and Physical meaning of a derivative
Gradient (slope) of a curve
Geometrical and Physical meaning of a derivative
Gradient (slope) of a curve
ch. 3 Applications of Derivatives - 3
Rate measure, related rates
If y is a function of x, then dy/dx, if it exists, represents the actual rate of change of y with respect to x.
If y =s displacement and x = t time
ds/dt = velocity v
dv/dt = acceleration a
If y is a function of x, then dy/dx, if it exists, represents the actual rate of change of y with respect to x.
If y =s displacement and x = t time
ds/dt = velocity v
dv/dt = acceleration a
Application of Derivatves - 4
Approximation and errors
Interpretation of the sign of the derivative
Increasing and decreasing functions
Interpretation of the sign of the derivative
Increasing and decreasing functions
Ch. 3 Applications of Derivatives - 5
Maximum and minimum
a function f is said to have a minimum at x = a if we can find δ>0 such that f(x)>f(a) for all x between (x-δ and x+δ) and x≠a.
f(x) is greater than f(a) around its neighbourhood.
sufficient conditions for extreme values
a function f is said to have a minimum at x = a if we can find δ>0 such that f(x)>f(a) for all x between (x-δ and x+δ) and x≠a.
f(x) is greater than f(a) around its neighbourhood.
sufficient conditions for extreme values
Ch. 4 Integration - 1
Introduction
standard forms already learnt
∫sin x dx = - cos x + c
∫cos x dx = sin x + c
standard forms already learnt
∫sin x dx = - cos x + c
∫cos x dx = sin x + c
Ch. 4 Integration - 2
Indefinite integrals
Standard forms
Method of substitution
Linear substitution
Integrating powers of trigonometric functions
Integrating expressions having square roots
Standard forms
Method of substitution
Linear substitution
Integrating powers of trigonometric functions
Integrating expressions having square roots
Ch. 4 Integration - 4
Integration by partial fractions
Distinct linear factors
(3x-4)/(x-1)(x-2) = 1/(x-1) + 2/(x-2)
disguised linear factors
(x² +15)/(x² -1)(x² +2)
Repeated linear factors
(5x² - 19x - 17)/(x-1)(x-2)²
Non repeated quadratic factors
If the denominator contains a factor ax² + bx + c then the fraction corresponding to it is
(px+ q)/(ax² + bx + c)
Distinct linear factors
(3x-4)/(x-1)(x-2) = 1/(x-1) + 2/(x-2)
disguised linear factors
(x² +15)/(x² -1)(x² +2)
Repeated linear factors
(5x² - 19x - 17)/(x-1)(x-2)²
Non repeated quadratic factors
If the denominator contains a factor ax² + bx + c then the fraction corresponding to it is
(px+ q)/(ax² + bx + c)
Definite Integration - 1
Introduction
If ∫f(x)dx = g(x)+c
∫f(x)dx (a to b) = [g(x)] from a to b = g(b) - g(a)
If ∫f(x)dx = g(x)+c
∫f(x)dx (a to b) = [g(x)] from a to b = g(b) - g(a)
Ch.5 Definite integration - 2
INtgral as limit of a sum
the definite integral
fundamental theorem of integral calculus
the definite integral
fundamental theorem of integral calculus
Ch 5. Definite Integration - 3
Properties of definite integration
∫f(x)dx (a to b) = ∫f(t) dt (a to b)
∫f(x) dx (a to b) = -∫f(x) dx (b to a)
∫f(x) dx ( 0 to a) = ∫f(a-x)dx (0 to a)
∫f(x)dx (a to b) = ∫f(a+b-x) dx (a to b)
∫f(x)dx (a to b) = ∫f(t) dt (a to b)
∫f(x) dx (a to b) = -∫f(x) dx (b to a)
∫f(x) dx ( 0 to a) = ∫f(a-x)dx (0 to a)
∫f(x)dx (a to b) = ∫f(a+b-x) dx (a to b)
Differential Equations - 2
Definitions
Teh order of differential equation is the order of the highestorder differential coefficient appearing in it.
The degree is the power to which the highest order derivative is raised in the equation
Teh order of differential equation is the order of the highestorder differential coefficient appearing in it.
The degree is the power to which the highest order derivative is raised in the equation
Ch. 7 Differential Equations - 4
Solutions of equations of first order and first degree
M + Ndy/dx = 0
Example 2x + 3y² dy/dx = 0
dy/dx is first order direvative of y and it has a power of 1 only.
we can write the given equation as
3y² dy/dx = -2x
3y² dy = -2xdx
∫ 3y² dy = ∫-2xdx
y³ = -x² + c is the solution to this equation
M + Ndy/dx = 0
Example 2x + 3y² dy/dx = 0
dy/dx is first order direvative of y and it has a power of 1 only.
we can write the given equation as
3y² dy/dx = -2x
3y² dy = -2xdx
∫ 3y² dy = ∫-2xdx
y³ = -x² + c is the solution to this equation
Ch. 8 Applications of Differential Equations - 1
Introduction
Initial conditions are provided for some physical situations so that arbitrary constant can be given the required value.
Initial conditions are provided for some physical situations so that arbitrary constant can be given the required value.
Ch. 9 Numberical Methods - 1
Introduction
Mathematicians have systematic ways of going as near the answer as possible. This branch of mathematics is called numerical methods.
Mathematicians have systematic ways of going as near the answer as possible. This branch of mathematics is called numerical methods.
Ch. 9 Numberical Methods - 2
Finite differences
basic terms
Forward difference table
backward differences
shift operator E
Relation between E and delta
operator E^-1
basic terms
Forward difference table
backward differences
shift operator E
Relation between E and delta
operator E^-1
Ch. 9 Numberical Methods - 3
Interpolation
Newton's (forward) interpolation formula
Newtons bacward interpolation formula
Lagrange interpolation formula
Newton's (forward) interpolation formula
Newtons bacward interpolation formula
Lagrange interpolation formula
Ch. 9 Numberical Methods - 4
Numerical integration
Division of an interval
Trapezoidal rule for integral ydx from a to b
Simpson's (1/3)rd and (3/*)th rules for integral ydx from a to b
Division of an interval
Trapezoidal rule for integral ydx from a to b
Simpson's (1/3)rd and (3/*)th rules for integral ydx from a to b
10 Boolean Algebra - 2
Boolean algebra as algebraic structure
B is a nonempty set
1. for all x,y in B
(i) x+y belong to B
(ii) x.y belongs to B
B is a nonempty set
1. for all x,y in B
(i) x+y belong to B
(ii) x.y belongs to B
Ch. 10 Boolean Algebra - 5
Application of Boolean Algebra to switching circuits
A logic gate
Writing boolean expressions using gates
A logic gate
Writing boolean expressions using gates
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