Functions are defined as the relations which give a particular output for a particular input value. A function has a domain and codomain (range). f(x) usually denotes a function where x is the input of the function. In general, a function is written as y = f(x).
What is a Function?
A function is a relation between two sets set A and set B. Such that every element of set A has an image in set B and no element in set A has more than one image in set B.
Let A and B be two nonempty sets. A function or mapping f from A to B is written as f: A → B is a rule by which each element a ∈ A is associated with a unique element b ∈ B.
Domain, Codomain, and Range of a Function
The elements of set X are called the domain of f and the elements of set Y are called the codomain of f. The images of the elements of set X are called the range of function, which is always a subset of Y. The image given below demonstrates the domain, codomain, and range of the function.
The image demonstrates the domain, co-domain, and range of the function. Remember the element which is mapped only will be counted in the range as shown in the image. The domain, codomain, and range of the above function are:
Domain = {a, b, c}
Codomain = {1, 2, 3, 4, 5}
Range = {1, 2, 3}
Read More about Domain and Range.
Types of Functions in Maths
An example of a simple function is f(x) = x3. In this function, f(x) takes the value of “x” and then cubes it to find the value of the function. For example, if the value of x is taken to be 2, then the function gives 8 as output i.e. f(2) = 8.
Some other examples of functions are:
f(x) = cos x, f(x) = 5x2 + 9, f(x) = 1/x3, etc.
There are several types of functions in maths. Some of the important types are:
- One to One (Injective) function
- Many to One function
- Onto (Surjective) Function
- Into Function
One to One (Injective) function
A function f: X → Y is said to be a one-to-one function if the images of distinct elements of X under f are distinct. Thus, f is one to one if f(x1) = f(x2)
Property: A function f: A → B is one-to-one if f(x1) = f(x2) implies x1 = x2, i.e, an image of a distinct element of A under f mapping (function) is distinct.
Condition to be One-to-One function: Every element of the domain has a single image with a codomain after mapping.
Read More about One-to-One Functions.
Examples of One to One Functions
Som of examples of one-one functions are:
- f(x) = x (Identity function)
- k(x) = 2x + 3 (Linear Polynomial)
- g(x) = ex (Exponential function)
- h(x) = √x (Square root function, defined for x ≥ 0)
Many to One Function
If the function is not one to one function, then it should be many to one function means every element of the domain has more than one image at codomain after mapping.
- Property: One or more elements having the same image in the codomain
- Condition to be Many to One function: One or more than one element in the domain having a single image in the codomain.
Read More about Many One Functions.
Examples of Many to One Function
Some of the most common examples of many to one functions are:
- f(x) = x2 (Squared function)
- g(x) = sin(x) (Sine function)
- h(x) = cos(x) (Cosine function)
- k(x) = tan(x) (Tangent function)
- m(x) = ∣x∣ (Absolute value function)
Onto (Surjective) Function
A function f: X → Y is said to be an onto function if every element of Y is an image of some element of set X under f, i.e for every y ∈ Y there exists an element x in X such that f(x) = y.
Properties:
- The range of functions should be equal to the codomain.
- Every element of B is the image of some element of A.
Condition to be onto function: The range of function should be equal to the codomain.
As we see in the above two images, the range is equal to the codomain means that every element of the codomain is mapped with the element of the domain, as we know that elements that are mapped in the codomain are known as the range. So these are examples of the Onto function.
Read More about Onto Functions.
Examples of Onto Functions
Some of the most common examples of onto functions are:
- f(x) = x (Identity function)
- g(x) = ex (Exponential function)
- h(x) = sin(x) (Sine function within a limited domain, e.g., h : R→[−1,1])
- k(x) = cos(x) (Cosine function within a limited domain, e.g., k : [0,π]→[−1,1])
- m(x) = x3 (Cubic function)
Into Function
A function f: X → Y is said to be an into a function if there exists at least one element or more than one element in Y, which does not have any pre-images in X, which simply means that every element of the codomain are not mapped with elements of the domain.
From the above image, we can clearly see that every element of the codomain is not mapped with elements of the domain means the 10th element of the codomain is left unmapped. So this type of function is known as Into function.
Properties:
- The Range of function is the proper subset of B
- The Range of functions should not equal B, where B is the codomain.
Examples of Into Functions
Some examples of into functions you can consider are:
- f(x) = sin(x) where f:R→[−1,1] is not onto because it doesn’t cover all values in the interval [−1,1][−1,1].
- g(x) = x2 where g:R→R+ (positive real numbers) is not onto because it doesn’t map to any negative real numbers.
- h(x) = ex where h:R→(0,∞) is not onto because it doesn’t map to zero.
Summary: Types of Functions
All types can be summarized in the following table:
Function Type |
Definition |
Example |
One-to-One (Injective) |
A function where each element of the domain maps to a unique element in the codomain. |
f(x) = 2x+3 |
Many-to-One |
A function where multiple elements of the domain may map to the same element in the codomain. |
f(x) = x2 |
Onto (Surjective) |
A function where every element in the codomain is mapped to by at least one element in the domain. |
f(x) = ex, f : R→(0,∞) |
Into (Non-surjective) |
A function that does not cover the entire codomain; there are elements in the codomain that are not mapped to by any element in the domain. |
f(x) = sin(x), f:R→[−1,1] |
Read More,
Solved Examples on Types of Function
Example 1: Check whether the function f(x) = 2x + 3, is one-to-one or not if Domain = {1, 2, 1/2} and Codomain = {5, 7, 4}
Solution:
Putting 1, 2, 1/2 in place of x in f(x) = 2x + 3, we get
f(1) = 5,
f(2) = 7,
f(1/2) = 4
As, for every value of x we get a unique f(x) thus, we can conclude that our function f(x) is One to One.
Example 2: Check whether the function is one-to-one or not: f(x) = 3x – 2
Solution:
To check whether a function is one to one or not, we have to check that elements of the domain have only a single pre-image in codomain or not. For checking, we can write the function as,
f(x1) = f(x2)
3x1 – 2 = 3x2 – 2
3x1 = 3x2
x1 = x2
Since both x1 = x2 which means that elements of the domain having a single pre-image in its codomain. Hence the function f(x) = 3x – 2 is one to one function.
Example 3: Check whether the function is one-to-one or not: f(x) = x2 + 3.
Solution:
To check whether the function is One to One or not, we will follow the same procedure. Now let’s check, we can write the function as,
f(x1) = f(x2)
(x1)2 + 3 = (x2)2 + 3
(x1)2 = (x2)2
Since (x1)2 = (x2)2 is not always true.
Hence the function f(x) = x2 + 3 is not one to one function.
Example 4: If N: → N, f(x) = 2x + 1 then check whether the function is injective or not.
Solution:
In question N → N, where N belongs to Natural Number, which means that the domain and codomain of the function is a natural number. For checking whether the function is injective or not, we can write the functions as,
Let, f(x1) = f(x2)
2x1 + 1= 2x2 + 1
2x1 = 2x2
x1 = x2
Since x1 = x2, means all elements of the domain are mapped with a single element of the codomain. Hence function f(x) = 2x + 1 is Injective (One to One).
Example 5: f(x) = x2, check whether the function is Many to One or not.
Solution:
Domain = {1, -1, 2, -2}, let’s put the elements of the domain in the function
f(1) = 12 = 1
f(-1) = (-1)2 = 1
f(2) = (2)2 = 4
f(-2) = (-2)2 = 4
Thus, we can see that more than one element of the domain have similar image after mapping. So this is Many to One function.
Example 6: If f(x) = 2x + 1 is defined on R:→ R. Then check whether the following function is Onto or not
Solution:
For checking the function is Onto or not, Let’s first put the function f(x) equal to y
f(x) = y
y = 2x + 1
y – 1 = 2x
x = (y – 1) / 2
Now put the value of x in the function f(x), we get,
f((y – 1) / 2) = 2 × [(y – 1) / 2] +1
Taking LCM 2, we get
= [2(y – 1) + 2] / 2
= (2y – 2 + 2) / 2
= y
Since we get back y after putting the value of x in the function. Hence the given function f(x) = 2x + 1 is Onto function.
Example 7: If f:N → N is defined by f(x) = 3x + 1. Then prove that function f(x) is Surjective.
Solution:
To prove that the function is Surjective or not, firstly we put the function equal to y. Then find out the value of x and then put that value in the function. So let’s start solving it.
Let f(x) = y
3x + 1 = y
3x = y – 1
x = (y – 1) / 3
Now put the value of x in the function f(x), we get
f((y – 1) / 3) = {3 (y – 1) / 3} + 1
= y – 1 + 1
= y
Since we get back y after putting the value of x in the function. Hence the given function f(x) = (3x + 1) is Onto function.
Example 8: If A = R – {3} and B = R – {1}. Consider the function f: A → B defined by f(x) = (x – 2)/(x – 3), for all x ∈ A. Then show that the function f is bijective.
Solution:
To show the function is bijective we have to prove the given function both One to One and Onto.
Let’s first check for One to One:
Let x1, x2 ∈ A such that f(x1) = f(x2)
Then, (x1 – 2) / (x1 – 3) = (x2 – 2) / (x2 – 3)
(x1 – 2) ( x2 – 3) = (x2 – 2) (x1 – 3)
x1 . x2 – 3x1 – 2x1 + 6 = x1 . x2 – 3x2 -2x1 + 6
-3x1 – 2x2 = -3x2 – 2x1
-3( x1 – x2) + 2( x1 – x2) = 0
-( x1 – x2) = 0
x1 – x2 = 0
⇒ x1 = x2
Thus, f(x1) = f(x2) ⇒ x1 = x2, ∀ x1, x2 ∈ A
So, the function is a One to One
Now let us check for Onto:
Let y ∈ B = R – {1} be any arbitrary element.
Then, f(x) = y
⇒ (x – 2) / (x – 3) = y
⇒ x – 2 = xy – 3y
⇒ x – xy = 2 – 3y
⇒ x(1 – y) = 2 – 3y
⇒ x = (2 – 3y) / (1 – y) or x = (3y – 2) / (y – 1)
Now put the value of x in the function f(x)
f((3y – 2) / (y – 1)) = { (3y – 2) / (y – 1) } – 2 / { (3y – 2) / (y – 1) – 3 }
= (3y – 2 – 2y + 2) / (3y – 2 – 3y + 3)
= y
Hence f(x) is Onto function. Since we proved both One to One and Onto this implies that the function is Bijective.
Example 9: A = {1, 2, 3, 4}, B = {a, b, c, d} then the function is defined as f = {(1, a), (2, b), (3, c), (4, d)}. Check whether the function is One to One Onto or not.
Solution:
To check whether the function is One to One Onto or not. We have to check for both one by one.
Let’s check for One to One:
As we know the condition for One to One that all the elements of the domain are having a single image in the codomain. As we see in the mapping that all the elements of set A are mapped with set B and each having a single image after mapping.
So the function is One to One.
Now let’s check for Onto:
As we know the condition for the function to be Onto is that, Range = Codomain means all the elements of codomain are mapped with domain elements, in this case, codomain will equal to the domain. As we see in the mapping that the condition of the function to be Onto is satisfied.
So the function is Onto.
Since we had proved that the function is both One to One and Onto.
Hence function is One to One Onto (Bijective).
Example 10: A = {1, 2, 3, 4}, B = {a, b, c, d}. The function is defined as f = {(1, a), (2, b), (3, c), (4, c)}. Check whether the function is Many to One Into or not.
Solution:
To check the function is Many to One Into or not. We have to check for both one by one.
Let’s first check for Many to One function:
As we know the condition for Many to One function is that more than one element of domain should have more same image in codomain. From the above mapping we can see that the elements of A {3, 4 } are having same image in B { c }, so the function is Many to One.
Now let’s check for Into function:
As we know the condition for Into function is that the Range of function should be the subset of codomain and also not equal to codomain. Let’s check both the conditions are satisfied or not.
- Range of function = {a, b, c}
- Codomain of function = {a, b, c, d}
Range of function ≠ Codomain of function
As we check that the range of function is not equal to codomain of the function. Hence we can say that the function is Into function. As we prove that the function is Many to One and Into.
Hence the function is Many to One Into.
FAQs on Types of Function
What is domain and codomain of a function?
A domain of a function is defined as the set of values for which the function is defined. The function exist inside its domain. A codomain of a function is defined as the set of all possible output values f that function.
Define a function.
A function is defined as a relation between a set of values where for each input we have only one output.
Write the ways in which a function is represented.
A function is represented as y = f(x) where, x is the input value and f(x) is the output value.
How to Solve Cubic Functions?
The general form of cubic function is f(x) = ax3 + bx2 + cx +d, and if f(a) = 0, then x-a is the factor of this cubic function.
How do you prove that a Function is Onto?
In an onto function range is equal to co-domain, so any function is onto only when its range is equal to its codomain.
Suggested Quiz
1 Questions
If f:[0, ∞)→[0, ∞) and f(x) = x/(1 + x), then f is
Explanation:
Given: f(x) = x/(1 + x)
Let x, y ∈ [0, ∞) such that f(x) = f(y)
⇒ x/(1 + x) = y/(1 + y)
⇒ x + xy = y + xy
⇒ x = y
Therefore, function is one-one.
For f(x) = 1,
⇒ x/(x + 1) = 1,
⇒ x = x + 1
⇒ 0 = 1 (which is not possible)
Thus, for f(x) = 1, there is no pre image in the domain.
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Concave Function
Graphs of the functions give us a lot of information about the nature of the function, the trends, and the critical points like maxima and minima of the function. Derivatives allow us to mathematically analyze these functions and their sign can give us information about the maximum and minimum of th
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Inflection Point
Inflection Point describes a point where the curvature of a curve changes direction. It represents the transition from a concave to a convex shape or vice versa. Let's learn about Inflection Points in detail, including Concavity of Function and solved examples. Table of Content Inflection Point Defi
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Curve Sketching
Curve Sketching as its name suggests helps us sketch the approximate graph of any given function which can further help us visualize the shape and behavior of a function graphically. Curve sketching isn't any sure-shot algorithm that after application spits out the graph of any desired function but
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Approximations - Application of Derivatives
An approximation is similar but not exactly equal to something else. Approximation occurs when an exact numerical number is unknown or difficult to obtain. In Mathematics, we use differentiation to find the approximate values of certain quantities. Let f be a given function and let y = f(x). Let ∆x
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Higher Order Derivatives
Higher order derivatives refer to the derivatives of a function that are obtained by repeatedly differentiating the original function. The first derivative of a function, f′(x), represents the rate of change or slope of the function at a point.The second derivative, f′′(x), is the derivative of the
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Chapter 7: Integrals
Integrals
Integrals: An integral in mathematics is a continuous analog of a sum that is used to determine areas, volumes, and their generalizations. Performing integration is the process of computing an integral and is one of the two basic concepts of calculus. Integral in Calculus is the branch of Mathematic
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Integration by Substitution Method
Integration by substitution or u-substitution is a highly used method of finding the integration of a complex function by reducing it to a simpler function and then finding its integration. Suppose we have to find the integration of f(x) where the direct integration of f(x) is not possible. So we su
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Integration by Partial Fractions
Integration by Partial Fractions is one of the methods of integration, which is used to find the integral of the rational functions. In Partial Fraction decomposition, an improper-looking rational function is decomposed into the sum of various proper rational functions. If f(x) and g(x) are polynomi
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Integration by Parts
Integration by Parts or Partial Integration, is a technique used in calculus to evaluate the integral of a product of two functions. The formula for partial integration is given by: ∫ u dv = uv - ∫ v du Where u and v are differentiable functions of x. This formula allows us to simplify the integral
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Integration of Trigonometric Functions
Integration is the process of summing up small values of a function in the region of limits. It is just the opposite to differentiation. Integration is also known as anti-derivative. We have explained the Integration of Trigonometric Functions in this article below. Below is an example of the Integr
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Functions Defined by Integrals
While thinking about functions, we always imagine that a function is a mathematical machine that gives us an output for any input we give. It is usually thought of in terms of mathematical expressions like squares, exponential and trigonometric function, etc. It is also possible to define the functi
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Definite Integral | Definition, Formula & How to Calculate
A definite integral is an integral that calculates a fixed value for the area under a curve between two specified limits. The resulting value represents the sum of all infinitesimal quantities within these boundaries. i.e. if we integrate any function within a fixed interval it is called a Definite
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Computing Definite Integrals
Integrals are a very important part of the calculus. They allow us to calculate the anti-derivatives, that is given a function's derivative, integrals give the function as output. Other important applications of integrals include calculating the area under the curve, the volume enclosed by a surface
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Fundamental Theorem of Calculus | Part 1, Part 2
Fundamental Theorem of Calculus is the basic theorem that is widely used for defining a relation between integrating a function of differentiating a function. The fundamental theorem of calculus is widely useful for solving various differential and integral problems and making the solution easy for
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Finding Derivative with Fundamental Theorem of Calculus
Integrals are the reverse process of differentiation. They are also called anti-derivatives and are used to find the areas and volumes of the arbitrary shapes for which there are no formulas available to us. Indefinite integrals simply calculate the anti-derivative of the function, while the definit
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Evaluating Definite Integrals
Integration, as the name suggests is used to integrate something. In mathematics, integration is the method used to integrate functions. The other word for integration can be summation as it is used, to sum up, the entire function or in a graphical way, used to find the area under the curve function
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Properties of Definite Integrals
Properties of Definite Integrals: An integral that has a limit is known as a definite integral. It has an upper limit and a lower limit. It is represented as [Tex]\int_{a}^{b}[/Tex]f(x) = F(b) − F(a) There are many properties regarding definite integral. We will discuss each property one by one with
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Definite Integrals of Piecewise Functions
Imagine a graph with a function drawn on it, it can be a straight line or a curve or anything as long as it is a function. Now, this is just one function on the graph, can 2 functions simultaneously occur on the graph? Imagine two functions simultaneously occurring on the graph, say, a straight line
8 min read
Improper Integrals
Improper integrals are definite integrals where one or both of the boundaries are at infinity or where the Integrand has a vertical asymptote in the interval of integration. Computing the area up to infinity seems like an intractable problem, but through some clever manipulation, such problems can b
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Riemann Sums
Riemann Sum is a certain kind of approximation of an integral by a finite sum. A Riemann sum is the sum of rectangles or trapezoids that approximate vertical slices of the area in question. German mathematician Bernhard Riemann developed the concept of Riemann Sums. In this article, we will look int
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Riemann Sums in Summation Notation
Riemann sums allow us to calculate the area under the curve for any arbitrary function. These formulations help us define the definite integral. The basic idea behind these sums is to divide the area that is supposed to be calculated into small rectangles and calculate the sum of their areas. These
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Trapezoidal Rule
The Trapezoidal Rule is a fundamental method in numerical integration used to approximate the value of a definite integral of the form b∫a f(x) dx. It estimates the area under the curve y = f(x) by dividing the interval [a, b] into smaller subintervals and approximating the region under the curve as
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Definite Integral as the Limit of a Riemann Sum
Definite integrals are an important part of calculus. They are used to calculate the areas, volumes, etc of arbitrary shapes for which formulas are not defined. Analytically they are just indefinite integrals with limits on top of them, but graphically they represent the area under the curve. The li
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Antiderivative: Integration as Inverse Process of Differentiation
An antiderivative is a function that reverses the process of differentiation. It is also known as the indefinite integral. If F(x) is the antiderivative of f(x), it means that: d/dx[F(x)] = f(x) In other words, F(x) is a function whose derivative is f(x). Antiderivatives include a family of function
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Indefinite Integrals
Integrals are also known as anti-derivatives as integration is the inverse process of differentiation. Instead of differentiating a function, we are given the derivative of a function and are required to calculate the function from the derivative. This process is called integration or anti-different
6 min read
Particular Solutions to Differential Equations
Indefinite integrals are the reverse of the differentiation process. Given a function f(x) and it's derivative f'(x), they help us in calculating the function f(x) from f'(x). These are used almost everywhere in calculus and are thus called the backbone of the field of calculus. Geometrically speaki
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Integration by U-substitution
Finding integrals is basically a reverse differentiation process. That is why integrals are also called anti-derivatives. Often the functions are straightforward and standard functions that can be integrated easily. It is easier to solve the combination of these functions using the properties of ind
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Reverse Chain Rule
Integrals are an important part of the theory of calculus. They are very useful in calculating the areas and volumes for arbitrarily complex functions, which otherwise are very hard to compute and are often bad approximations of the area or the volume enclosed by the function. Integrals are the reve
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Partial Fraction Expansion
If f(x) is a function that is required to be integrated, f(x) is called the Integrand, and the integration of the function without any limits or boundaries is known as the Indefinite Integration. Indefinite integration has its own formulae to make the process of integration easier. However, sometime
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Trigonometric Substitution: Method, Formula and Solved Examples
Trigonometric substitution is a process in which the substitution of a trigonometric function into another expression takes place. It is used to evaluate integrals or it is a method for finding antiderivatives of functions that contain square roots of quadratic expressions or rational powers of the
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Chapter 8: Applications of Integrals
Area under Simple Curves
We know how to calculate the areas of some standard curves like rectangles, squares, trapezium, etc. There are formulas for areas of each of these figures, but in real life, these figures are not always perfect. Sometimes it may happen that we have a figure that looks like a square but is not actual
6 min read
Area Between Two Curves: Formula, Definition and Examples
Area Between Two Curves in Calculus is one of the applications of Integration. It helps us calculate the area bounded between two or more curves using the integration. As we know Integration in calculus is defined as the continuous summation of very small units. The topic "Area Between Two Curves" h
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Area between Polar Curves
Coordinate systems allow the mathematical formulation of the position and behavior of a body in space. These systems are used almost everywhere in real life. Usually, the rectangular Cartesian coordinate system is seen, but there is another type of coordinate system which is useful for certain kinds
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Area as Definite Integral
Integrals are an integral part of calculus. They represent summation, for functions which are not as straightforward as standard functions, integrals help us to calculate the sum and their areas and give us the flexibility to work with any type of function we want to work with. The areas for the sta
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Chapter 9: Differential Equations
Differential Equations
A differential equation is a mathematical equation that relates a function with its derivatives. Differential Equations come into play in a variety of applications such as Physics, Chemistry, Biology, Economics, etc. Differential equations allow us to predict the future behavior of systems by captur
13 min read
Particular Solutions to Differential Equations
Indefinite integrals are the reverse of the differentiation process. Given a function f(x) and it's derivative f'(x), they help us in calculating the function f(x) from f'(x). These are used almost everywhere in calculus and are thus called the backbone of the field of calculus. Geometrically speaki
7 min read
Homogeneous Differential Equations
Homogeneous Differential Equations are differential equations with homogenous functions. They are equations containing a differentiation operator, a function, and a set of variables. The general form of the homogeneous differential equation is f(x, y).dy + g(x, y).dx = 0, where f(x, y) and h(x, y) i
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Separable Differential Equations
Separable differential equations are a special type of ordinary differential equation (ODE) that can be solved by separating the variables and integrating each side separately. Any differential equation that can be written in form of y' = f(x).g(y), is called a separable differential equation. Basic
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Exact Equations and Integrating Factors
Differential Equations are used to describe a lot of physical phenomena. They help us to observe something happening in real life and put it in a mathematical form. At this level, we are mostly concerned with linear and first-order differential equations. A differential equation in “y” is linear if
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Implicit Differentiation
Implicit Differentiation is the process of differentiation in which we differentiate the implicit function without converting it into an explicit function. For example, we need to find the slope of a circle with an origin at 0 and a radius r. Its equation is given as x2 + y2 = r2. Now, to find the s
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Implicit differentiation - Advanced Examples
In the previous article, we have discussed the introduction part and some basic examples of Implicit differentiation. So in this article, we will discuss some advanced examples of implicit differentiation. Table of Content Implicit DifferentiationMethod to solveImplicit differentiation Formula Solve
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Advanced Differentiation
Derivatives are used to measure the rate of change of any quantity. This process is called differentiation. It can be considered as a building block of the theory of calculus. Geometrically speaking, the derivative of any function at a particular point gives the slope of the tangent at that point of
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Disguised Derivatives - Advanced differentiation | Class 12 Maths
The dictionary meaning of “disguise” is “unrecognizable”. Disguised derivative means “unrecognized derivative”. In this type of problem, the definition of derivative is hidden in the form of a limit. At a glance, the problem seems to be solvable using limit properties but it is much easier to solve
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Derivative of Inverse Trigonometric Functions
Derivative of Inverse Trigonometric Function refers to the rate of change in Inverse Trigonometric Functions. We know that the derivative of a function is the rate of change in a function with respect to the independent variable. Before learning this, one should know the formulas of differentiation
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Logarithmic Differentiation
Method of finding a function's derivative by first taking the logarithm and then differentiating is called logarithmic differentiation. This method is specially used when the function is type y = f(x)g(x). In this type of problem where y is a composite function, we first need to take a logarithm, ma
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Chapter 10: Vector Algebra
Vector Algebra
Vectors algebra is the branch of algebra that involves operations on vectors. Vectors are quantities that have both magnitude and direction so normal operations are not performed on the vectors. We can add, subtract, and multiply vector quantities using special vector algebra rules. Vectors can be e
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Dot and Cross Products on Vectors
A quantity that is characterized not only by magnitude but also by its direction, is called a vector. Velocity, force, acceleration, momentum, etc. are vectors. Vectors can be multiplied in two ways: Scalar product or Dot productVector Product or Cross productTable of Content Scalar Product/Dot Pr
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How to Find the Angle Between Two Vectors?
Vector quantities are the physical quantities that have both magnitude and direction and the angle between two vectors can be easily found if the dot product or the cross product of the two vectors is given. In this article, we will learn how to find the angle between two vectors, its formula, relat
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Section Formula - Vector Algebra
The section formula in vector algebra is a useful formula for finding a point that divides a line segment into a certain ratio. This concept is particularly important in physics and engineering for tasks such as finding center of mass, centroids, and other applications where a point must be located
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Chapter 11: Three-dimensional Geometry
Direction Cosines and Direction Ratios
Usually, for three-dimensional geometry, we rely on the three-dimensional Cartesian plane. Vectors can also be used to describe the lines and the angles they make with the axis. How should we describe a line passing through the origin making an angle with different axes? We define them using cosine
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Equation of a Line | Definition, Different Forms and Examples
The equation of a line in a plane is given as y = mx + C where x and y are the coordinates of the plane, m is the slope of the line and C is the intercept. However, the construction of a line is not limited to a plane only. We know that a line is a path between two points. These two points can be lo
15+ min read
Angles Between two Lines in 3D Space | Solved Examples
A line in mathematics and geometry is a fundamental concept representing a straight, one-dimensional figure that extends infinitely in both directions. Lines are characterized by having no thickness and being perfectly straight. Here are some important aspects and definitions related to lines: Key C
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Shortest Distance Between Two Lines in 3D Space | Class 12 Maths
The shortest distance between two lines in three-dimensional space is the length of the perpendicular segment drawn from a point on one line to the other line. This distance can be found using vector calculus or analytical geometry techniques, such as finding the vector equation of each line and cal
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Points, Lines and Planes
Points, Lines, and Planes are basic terms used in Geometry that have a specific meaning and are used to define the basis of geometry. We define a point as a location in 3-D or 2-D space that is represented using the coordinates. We define a line as a geometrical figure that is extended in both direc
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Chapter 12: Linear Programming
Chapter 13: Probability
Conditional Probability and Independence - Probability | Class 12 Maths
Conditional probability and independence are important concepts in probability theory. Conditional probability deals with the likelihood of an event occurring given that another event has already occurred. Independence, on the other hand, refers to situations where the occurrence of one event does n
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Multiplication Theorem
Probability refers to the extent of the occurrence of events. When an event occurs like throwing a ball, picking a card from the deck, etc ., then there must be some probability associated with that event. In terms of mathematics, probability refers to the ratio of wanted outcomes to the total numbe
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Dependent and Independent Events
Dependent and Independent Events are the types of events that occur in probability. Suppose we have two events say Event A and Event B then if Event A and Event B are dependent events then the occurrence of one event is dependent on the occurrence of other events if they are independent events then
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Bayes' Theorem
Bayes' Theorem is used to determine the conditional probability of an event. It is used to find the probability of an event, based on prior knowledge of conditions that might be related to that event. Bayes' Theorem and Conditional ProbabilityBayes theorem (also known as the Bayes Rule or Bayes Law)
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Probability Distribution - Function, Formula, Table
A probability distribution describes how the probabilities of different outcomes are assigned to the possible values of a random variable. It provides a way of modeling the likelihood of each outcome in a random experiment. While a frequency distribution shows how often outcomes occur in a sample or
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Binomial Distribution in Probability
Binomial Distribution is a probability distribution used to model the number of successes in a fixed number of independent trials, where each trial has only two possible outcomes: success or failure. This distribution is useful for calculating the probability of a specific number of successes in sce
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Binomial Mean and Standard Deviation - Probability | Class 12 Maths
Binomial distribution is the probability distribution of no. of Bernoulli trials i.e. if a Bernoulli trial is performed n times the probability of its success is given by binomial distribution. Keep in mind that each trial is independent of another trial with only two possible outcomes satisfying th
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Bernoulli Trials and Binomial Distribution
Bernoulli Trials and Binomial Distribution are the fundamental topics in the study of probability and probability distributions. Bernoulli's Trials are those trials in probability where only two possible outcomes are Success and Failure or True and False. Due to this fact of two possible outcomes, i
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Discrete Random Variable
Discrete Random Variables are an essential concept in probability theory and statistics. Discrete Random Variables play a crucial role in modelling real-world phenomena, from the number of customers who visit a store each day to the number of defective items in a production line. Understanding discr
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Expected Value
Expected Value: Random variables are the functions that assign a probability to some outcomes in the sample space. They are very useful in the analysis of real-life random experiments which become complex. These variables take some outcomes from a sample space as input and assign some real numbers t
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NCERT Solution for Class 12 Maths 2024-25 : Chapter Wise PDF Download
NCERT Solution for Class 12 Maths: Maths is one of the most scoring subject in Class 12th board exam 2024-25. The syllabus of CBSE Maths exam is based on latest NCERT Math syllabus. So, GeeksforGeeks has curated the NCERT Class 12 Maths Solution for you to prepare. Students can also download the NCE
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RD Sharma Class 12 Solutions for Maths
RD Sharma Solutions for class 12 provide solutions to a wide range of questions with a varying difficulty level. With the help of numerous sums and examples, it helps the student to understand and clear the chapter thoroughly. Solving the given questions inside each chapter of RD Sharma will allow t
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