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Application of Inequality in Definite Integration

Application of Inequality in Definite Integration

Edited By Komal Miglani | Updated on Jul 02, 2025 08:09 PM IST

Definite Integration is one of the important parts of Calculus, which applies to measuring the change in the function at a certain point. Mathematically, it forms a powerful tool by which slopes of functions are determined, the maximum and minimum of functions found, and problems on motion, growth, and decay, to name a few. These concepts of integration have been broadly applied in branches of mathematics, physics, engineering, economics, and biology.

This Story also Contains
  1. Definite Integration
  2. Applications of inequalities in Definite Integration
  3. Results with inequalities in definite integration
  4. Solved Examples based on Applications of inequalities in Definite Integration
Application of Inequality in Definite Integration
Application of Inequality in Definite Integration

In this article, we will cover the concept Applicatons of Definite Integration. This concept falls under the broader category of Calculus, which is a crucial Chapter in class 12 Mathematics. It is not only essential for board exams but also for competitive exams like the Joint Entrance Examination (JEE Main), and other entrance exams such as SRMJEE, BITSAT, WBJEE, BCECE, and more. Over the last ten years of the JEE Main exam (from 2013 to 2023), thirty questions have been asked on this concept, including one in 2016, one in 2018, five in 2019, two in 2021, five in 2022, and sixteen in 2023.

Definite Integration

Definite integration is used to calculate the value of function over a specific interval.

Let f be a function of x defined on the closed interval [a, b] and F be another function such that $\frac{d}{d x}(F(x))=f(x)$ for all $x$ in the domain of $f$, then

$\int_a^b f(x) d x=[F(x)+c]_a^b=F(b)-F(a)$ is called the definite integral of the function $f(x)$ over the interval $[a, b]$, where $a$ is called the lower limit of the integral and $b$ is called the upper limit of the integral.

Applications of inequalities in Definite Integration

Inequalities gives relationship between two expressions that are not equal to one another. Symbols denoting the inequalities are <, >, ≤, ≥, and ≠.

Inequalities are used in definite integration to show compare to functions.

Results with inequalities in definite integration

1. If $m \leq f(x) \leq M$ for all $x$ in the interval $[a, b]$, then:

$
m(b-a) \leq \int_a^b f(x) d x \leq M(b-a)
$

2. Mean Value Theorem

If $f(x)$ is continuous on $[a, b]$, there exists a $c \in[a, b]$ such that:

$
f(c)=\frac{1}{b-a} \int_a^b f(x) d x
$

3. If $f(x) \geq g(x)$ for all $x \in[a, b]$, then:

$
\int_a^b f(x) d x \geq \int_a^b g(x) d x
$

This result is used to compare two functions.

4. For convex functions $\phi(x)$ and a probability distribution $p(x)$, Jensen's inequality states that:

$
\phi\left(\int_a^b f(x) d x\right) \leq \int_a^b \phi(f(x)) d x
$

5. Minkowski's Inequality

For $f(x)$ and $g(x)$ both in $L^p$ space:

$
\left(\int_a^b|f(x)+g(x)|^p d x\right)^{1 / p} \leq\left(\int_a^b|f(x)|^p d x\right)^{1 / p}+\left(\int_a^b|g(x)|^p d x\right)^{1 / p}
$

Recommended Video Based on Applications of Inequalities in Definite Integration


Solved Examples based on Applications of inequalities in Definite Integration

Example 1: Which of the following is a perfect way to write an integral?
$
\begin{aligned}
& \text { 1) } \int_1^3 f(x) \\
& \int_5^8 f(x) d y
\end{aligned}
$

3) $\int_7^9 f(x) d x$

$
{ }_4 \int_7^5 f(x) d x
$

Solution

As we have learnt,

Definite integration -

When $f(x)$ is integrated in a continuous limit, $(a, b)$: a, and b are known as the limit of integration.

wherein

Where a < x < b

In (A), dx is not written.

In (B), the variables are not the same.

In (D), the lower variable is greater than the upper variable.

Hence, the answer is the option 3.

Example 2: Which of the following is NOT a definite integral?
$
\int_{-5}^5 f(x) d x
$

2) $\int g(y) d y$

$
\int_3 \int_0^5 d u
$

4) $\int_5^6 0 d y$

Solution

As we have learned,

Definite integration -

When $f(x)$ is integrated in a continuous limit, $(a, b)$: a, and b are known as the limit of integration.

wherein

Where$a<x<b$

The upper and lower limits are not specified.

Hence, the answer is the option 2.

Example 3: Which of the following is NOT true?

(1) $\int_a^b f(x) d x=F(b)-F(a)$
$\int_0^0 f(x) d x=-F(a$
$\int_0^a f(x) d x=F(a)-F(b)$
4) $\int_a^a f(x) d x=0$

Solution

As we have learned,

lower and upper limit -

$\int_a^b f(x) d x=(F(x))_a^b$

$=F(b)-F(a)$

wherein

Where a is lower and b is the upper limit.

$\int_0^a f(x) d x=F(0)-F(a)$

and F(0) may or may not be equal to 0

Hence, the answer is the option (2).

Example 4: If $\int_a^b f(x) d x=F(b)-F(a)$; then which of the following is NOT true?

1) "a" s the lower limit

2) "b" is the upper limit

3) $\int_a^b f(x) d x=\int_b^a f(x) d x$

4) If $F(b)=F(a) ; \int_a^b f(x) d x=0$

Solution

As we have learnt,

lower and upper limit -

$\begin{array}{r}\int_a^b f(x) d x=(F(x))_a^b \\ =F(b)-F(a)\end{array}$

wherein

Where a is the lower and b is the upper limit.

$\int_a^b f(x) d x \neq \int_h^a f(x) d x$

Hence, the answer is the option 3.

Frequently Asked Questions (FAQs)

1. What is the application of inequality in definite integration?
The application of inequality in definite integration involves using inequalities to estimate or bound the value of a definite integral. This technique is useful when the exact value of an integral is difficult or impossible to calculate directly. It allows us to establish upper and lower bounds for the integral, providing a range within which the true value must lie.
2. How does the comparison theorem help in evaluating definite integrals?
The comparison theorem states that if f(x) ≤ g(x) for all x in [a,b], then the integral of f(x) from a to b is less than or equal to the integral of g(x) from a to b. This theorem allows us to estimate the value of a difficult integral by comparing it to a simpler, known integral, providing bounds for the original integral.
3. What is the significance of the squeeze theorem in definite integration?
The squeeze theorem (also known as the sandwich theorem) is crucial in definite integration when dealing with inequalities. If f(x) ≤ g(x) ≤ h(x) for all x in [a,b], and the integrals of f(x) and h(x) from a to b are equal, then the integral of g(x) from a to b must equal this common value. This theorem helps in evaluating integrals indirectly by "squeezing" them between known functions.
4. How can inequalities be used to prove the existence of a definite integral?
Inequalities can be used to prove the existence of a definite integral by showing that the function is bounded on the interval of integration. If we can find two functions that bound our original function from above and below, and these bounding functions are integrable, then our original function must also be integrable.
5. What is the relationship between inequalities and improper integrals?
Inequalities play a crucial role in determining the convergence or divergence of improper integrals. By comparing an improper integral to a known convergent or divergent integral using inequalities, we can often determine whether the original improper integral converges or diverges without explicitly evaluating it.
6. How do inequalities help in estimating the error in numerical integration?
Inequalities are essential in estimating the error in numerical integration methods like the trapezoidal rule or Simpson's rule. By using inequalities involving the function's derivatives, we can bound the difference between the true value of the integral and the approximation obtained through numerical methods, providing an error estimate.
7. What is the mean value theorem for integrals, and how does it relate to inequalities?
The mean value theorem for integrals states that for a continuous function f(x) on [a,b], there exists a c in [a,b] such that the integral of f(x) from a to b equals f(c)(b-a). This theorem essentially provides an inequality, as it guarantees that the average value of the function over the interval lies between the minimum and maximum values of the function on that interval.
8. How can Chebyshev's inequality be applied to definite integrals?
Chebyshev's inequality, when applied to definite integrals, provides bounds on the probability that a random variable deviates from its mean by more than a certain amount. In the context of integration, it can be used to estimate the probability that the value of an integral lies within a certain range, given information about the function's mean and variance.
9. What is Jensen's inequality, and how does it relate to definite integrals?
Jensen's inequality states that for a convex function φ and a integrable function f, the integral of φ(f(x)) is greater than or equal to φ applied to the integral of f(x). This inequality has important applications in probability theory and can be used to derive bounds on integrals of convex or concave functions.
10. How can the Cauchy-Schwarz inequality be applied to definite integrals?
The Cauchy-Schwarz inequality, when applied to definite integrals, states that the square of the integral of the product of two functions is less than or equal to the product of the integrals of the squares of these functions. This inequality is useful in bounding integrals and has applications in various areas of mathematics, including functional analysis and probability theory.
11. What is the significance of Hölder's inequality in definite integration?
Hölder's inequality generalizes the Cauchy-Schwarz inequality and provides an upper bound for the integral of the product of two functions. It states that the integral of the product of two functions is less than or equal to the product of the p-th root of the integral of one function raised to the p-th power and the q-th root of the integral of the other function raised to the q-th power, where 1/p + 1/q = 1. This inequality is crucial in functional analysis and helps in estimating integrals.
12. How does the concept of monotonicity relate to inequalities in definite integration?
Monotonicity plays a significant role in applying inequalities to definite integrals. If a function is monotonically increasing or decreasing on an interval, we can often use this property to establish inequalities between integrals or to simplify the evaluation of integrals. For example, if f(x) is monotonically increasing on [a,b], then the integral of f(x) from a to b is bounded below by f(a)(b-a) and above by f(b)(b-a).
13. What is the importance of the Arithmetic Mean-Geometric Mean (AM-GM) inequality in integration?
The AM-GM inequality states that the arithmetic mean of a list of non-negative real numbers is greater than or equal to the geometric mean of the same list. In integration, this inequality can be used to establish bounds on integrals, especially when dealing with products of functions or when trying to minimize or maximize certain integral expressions.
14. How can inequalities be used to prove the convergence of improper integrals?
Inequalities are crucial in proving the convergence of improper integrals. By comparing the integrand to a known convergent function using inequalities (such as the comparison test), we can often establish that the improper integral converges without explicitly evaluating it. Similarly, inequalities can be used to show divergence by comparison with known divergent integrals.
15. What is the role of inequalities in the study of Riemann sums and their limits?
Inequalities play a fundamental role in the study of Riemann sums and their limits. They are used to establish upper and lower bounds for the sums, which in turn help prove the existence of the definite integral as the limit of these sums. Inequalities also help in estimating the error between a Riemann sum and the actual value of the integral.
16. How does the concept of convexity relate to inequalities in definite integration?
Convexity is closely related to inequalities in definite integration. For a convex function, Jensen's inequality provides a lower bound for the integral. Additionally, the integral of a convex function over an interval is always less than or equal to the area of the trapezoid formed by the function's endpoints. These properties lead to various useful inequalities and estimation techniques in integration.
17. What is the significance of the Hermite-Hadamard inequality in definite integration?
The Hermite-Hadamard inequality provides bounds for the average value of a convex function over an interval. It states that for a convex function f on [a,b], the value of f at the midpoint of the interval is less than or equal to the average value of the function over the interval, which in turn is less than or equal to the average of the function's values at the endpoints. This inequality is useful in estimating integrals and has applications in optimization theory.
18. How can inequalities be used to approximate definite integrals?
Inequalities can be used to approximate definite integrals by providing upper and lower bounds. By using simpler functions that bound the integrand from above and below, we can obtain estimates for the integral's value. These approximations can be refined by using more sophisticated bounding functions or by subdividing the interval of integration.
19. What is the relationship between inequalities and the fundamental theorem of calculus?
The fundamental theorem of calculus relates derivatives to integrals. Inequalities play a role in this relationship by helping to establish conditions under which the theorem applies. For instance, inequalities are used to prove the continuity and differentiability of the integral function, which are necessary conditions for the theorem. Additionally, inequalities derived from the mean value theorem can be used to estimate integrals using the fundamental theorem.
20. How do inequalities help in understanding the behavior of integrals with respect to parameter changes?
Inequalities are useful in analyzing how integrals change as parameters in the integrand or limits of integration vary. By establishing inequalities between integrals with different parameter values, we can understand the monotonicity, continuity, and differentiability of integral functions with respect to these parameters. This is particularly useful in studying families of integrals and in optimization problems involving integrals.
21. What is the importance of the Minkowski inequality in the context of definite integrals?
The Minkowski inequality, also known as the triangle inequality for integrals, states that the p-th root of the integral of the p-th power of the sum of two functions is less than or equal to the sum of the p-th roots of the integrals of the p-th powers of each function. This inequality is crucial in functional analysis and provides a way to bound the integral of a sum of functions, which is particularly useful in studying norms in function spaces.
22. How can inequalities be used to study the continuity of integral functions?
Inequalities play a key role in studying the continuity of integral functions. By using inequalities to bound the difference between integrals with nearby limits or parameters, we can establish conditions for the continuity of integral functions. This approach is essential in proving theorems about the continuity of integral functions with respect to their upper limit or parameters in the integrand.
23. What is the significance of Young's inequality in definite integration?
Young's inequality provides a relationship between the product of two numbers and the sum of powers of these numbers. In the context of definite integrals, it can be used to derive bounds on integrals involving products of functions. Young's inequality is particularly useful in functional analysis and in studying certain types of differential equations.
24. How do inequalities help in understanding the concept of absolute integrability?
Inequalities are crucial in defining and understanding absolute integrability. A function is absolutely integrable if the integral of its absolute value is finite. Inequalities help in comparing the absolute value of a function to known integrable functions, allowing us to determine whether a given function is absolutely integrable without necessarily evaluating the integral explicitly.
25. What is the role of inequalities in proving the existence of improper integrals?
Inequalities play a vital role in proving the existence of improper integrals. By using inequalities to compare the integrand to known convergent or divergent functions, we can often establish the convergence or divergence of an improper integral without explicitly evaluating it. This approach is particularly useful for integrals that cannot be evaluated in closed form.
26. How can inequalities be used to study the differentiability of integral functions?
Inequalities are essential in studying the differentiability of integral functions. By using inequalities to bound the difference quotient of an integral function, we can establish conditions under which the function is differentiable. This approach is crucial in proving theorems about the differentiability of integral functions with respect to their upper limit or parameters in the integrand.
27. What is the importance of the Gronwall inequality in the context of definite integrals?
The Gronwall inequality provides a bound on solutions to certain integral inequalities. In the context of definite integrals, it can be used to estimate solutions to integral equations and to study the behavior of functions defined by integrals. This inequality is particularly useful in the theory of differential equations and in control theory.
28. How do inequalities relate to the concept of uniform convergence of integrals?
Inequalities are crucial in establishing uniform convergence of integrals. By using inequalities to bound the difference between the integral and its limit uniformly over a parameter range, we can prove uniform convergence. This concept is important in interchanging limits and integrals, and in studying families of integrals that depend on parameters.
29. What is the significance of the Markov inequality in probability and integration?
The Markov inequality provides an upper bound on the probability that a non-negative random variable exceeds a certain value. In the context of integration, it can be used to bound the measure of the set where a non-negative function exceeds a certain value. This inequality is fundamental in probability theory and has applications in various areas of analysis.
30. How can inequalities be used to study the convergence of improper integrals with oscillating integrands?
Inequalities are essential in studying the convergence of improper integrals with oscillating integrands. By using inequalities to bound the absolute value of partial integrals, we can apply tests like the Dirichlet test or the Abel test to determine convergence. This approach is particularly useful for integrals that do not converge absolutely but may still converge conditionally.
31. What is the role of inequalities in understanding the concept of Lebesgue integration?
Inequalities play a fundamental role in Lebesgue integration theory. They are used to define measurable sets and functions, to establish properties of the Lebesgue integral, and to prove important theorems like the dominated convergence theorem. Inequalities also help in comparing Riemann and Lebesgue integrals and in extending integration to more general function spaces.
32. How do inequalities help in studying the properties of convolution integrals?
Inequalities are crucial in studying convolution integrals. They help in establishing bounds on the convolution of two functions, proving properties like associativity and commutativity, and in understanding how convolution affects the regularity of functions. Young's inequality for convolutions, which uses integral inequalities, is particularly important in this context.
33. What is the significance of the isoperimetric inequality in calculus of variations?
The isoperimetric inequality states that among all closed curves of a given length, the circle encloses the maximum area. In the context of calculus of variations and definite integrals, this inequality serves as a classic example of how integral inequalities can be used to solve optimization problems. It also illustrates the deep connections between geometry and analysis.
34. How can inequalities be used to study the behavior of integrals involving periodic functions?
Inequalities are useful in studying integrals of periodic functions. They can be used to establish bounds on these integrals, to prove properties like the periodicity of the integral function, and to study the convergence of Fourier series. Inequalities also help in analyzing the behavior of these integrals over multiple periods.
35. What is the role of inequalities in understanding the concept of absolute continuity in integration?
Inequalities are essential in defining and understanding absolute continuity. A function is absolutely continuous if its derivative (when it exists) is integrable and satisfies certain integral inequalities. These inequalities help in characterizing absolutely continuous functions and in proving important theorems about their properties, such as the fundamental theorem of calculus for Lebesgue integrals.
36. How do inequalities relate to the concept of weak convergence in function spaces?
Inequalities play a crucial role in the study of weak convergence in function spaces. They are used to define and characterize weak convergence, often through integral inequalities involving test functions. Understanding these inequalities is essential for working with weak solutions to differential equations and for studying the convergence of sequences of functions in various norms.
37. What is the significance of the Hardy-Littlewood maximal inequality in integration theory?
The Hardy-Littlewood maximal inequality provides bounds on the maximal function of an integrable function. This inequality is fundamental in harmonic analysis and has important applications in the study of differentiation of integrals, singular integrals, and Fourier analysis. It illustrates how inequalities can be used to control the behavior of functions through their integrals.
38. How can inequalities be used to study the properties of integral transforms?
Inequalities are essential in studying integral transforms like the Fourier, Laplace, and Mellin transforms. They help in establishing the existence and uniqueness of these transforms, in proving inversion formulas, and in studying the mapping properties of the transforms between different function spaces. Inequalities also play a role in understanding the behavior of these transforms under various operations.
39. What is the role of inequalities in understanding the concept of weak derivatives?
Inequalities are crucial in defining and working with weak derivatives. The concept of weak derivatives, which extends the notion of differentiation to a larger class of functions, is defined using integral inequalities. These inequalities allow us to work with functions that may not be classically differentiable but still possess a kind of generalized derivative in the sense of distributions.
40. How do inequalities help in studying the properties of integral operators?
Inequalities are fundamental in the study of integral operators. They are used to establish boundedness and continuity properties of these operators, to prove compactness results, and to study spectral

Articles

sir when i am opening viteee knockout  5000 concepts matrices and its aplication chapter it opens complex number pls do help

they are not showing any option

when is vit entrance examination 2020?

Arrange the following Cobalt complexes in the order of incresing Crystal Field Stabilization Energy (CFSE) value. Complexes :  

\mathrm{\underset{\textbf{A}}{\left [ CoF_{6} \right ]^{3-}},\underset{\textbf{B}}{\left [ Co\left ( H_{2}O \right )_{6} \right ]^{2+}},\underset{\textbf{C}}{\left [ Co\left ( NH_{3} \right )_{6} \right ]^{3+}}\: and\: \ \underset{\textbf{D}}{\left [ Co\left ( en \right )_{3} \right ]^{3+}}}

Choose the correct option :
Option: 1 \mathrm{B< C< D< A}
Option: 2 \mathrm{B< A< C< D}
Option: 3 \mathrm{A< B< C< D}
Option: 4 \mathrm{C< D< B< A}

The type of hybridisation and magnetic property of the complex \left[\mathrm{MnCl}_{6}\right]^{3-}, respectively, are :
Option: 1 \mathrm{sp ^{3} d ^{2} \text { and diamagnetic }}
Option: 2 \mathrm{sp ^{3} d ^{2} \text { and diamagnetic }}
Option: 3 \mathrm{sp ^{3} d ^{2} \text { and diamagnetic }}
Option: 4 \mathrm{sp ^{3} d ^{2} \text { and diamagnetic }}
Option: 5 \mathrm{d ^{2} sp ^{3} \text { and diamagnetic }}
Option: 6 \mathrm{d ^{2} sp ^{3} \text { and diamagnetic }}
Option: 7 \mathrm{d ^{2} sp ^{3} \text { and diamagnetic }}
Option: 8 \mathrm{d ^{2} sp ^{3} \text { and diamagnetic }}
Option: 9 \mathrm{d ^{2} sp ^{3} \text { and paramagnetic }}
Option: 10 \mathrm{d ^{2} sp ^{3} \text { and paramagnetic }}
Option: 11 \mathrm{d ^{2} sp ^{3} \text { and paramagnetic }}
Option: 12 \mathrm{d ^{2} sp ^{3} \text { and paramagnetic }}
Option: 13 \mathrm{sp ^{3} d ^{2} \text { and paramagnetic }}
Option: 14 \mathrm{sp ^{3} d ^{2} \text { and paramagnetic }}
Option: 15 \mathrm{sp ^{3} d ^{2} \text { and paramagnetic }}
Option: 16 \mathrm{sp ^{3} d ^{2} \text { and paramagnetic }}
The number of geometrical isomers found in the metal complexes \mathrm{\left[ PtCl _{2}\left( NH _{3}\right)_{2}\right],\left[ Ni ( CO )_{4}\right], \left[ Ru \left( H _{2} O \right)_{3} Cl _{3}\right] \text { and }\left[ CoCl _{2}\left( NH _{3}\right)_{4}\right]^{+}} respectively, are :
Option: 1 1,1,1,1
Option: 2 1,1,1,1
Option: 3 1,1,1,1
Option: 4 1,1,1,1
Option: 5 2,1,2,2
Option: 6 2,1,2,2
Option: 7 2,1,2,2
Option: 8 2,1,2,2
Option: 9 2,0,2,2
Option: 10 2,0,2,2
Option: 11 2,0,2,2
Option: 12 2,0,2,2
Option: 13 2,1,2,1
Option: 14 2,1,2,1
Option: 15 2,1,2,1
Option: 16 2,1,2,1
Spin only magnetic moment of an octahedral complex of \mathrm{Fe}^{2+} in the presence of a strong field ligand in BM is :
Option: 1 4.89
Option: 2 4.89
Option: 3 4.89
Option: 4 4.89
Option: 5 2.82
Option: 6 2.82
Option: 7 2.82
Option: 8 2.82
Option: 9 0
Option: 10 0
Option: 11 0
Option: 12 0
Option: 13 3.46
Option: 14 3.46
Option: 15 3.46
Option: 16 3.46

3 moles of metal complex with formula \mathrm{Co}(\mathrm{en})_{2} \mathrm{Cl}_{3} gives 3 moles of silver chloride on treatment with excess of silver nitrate. The secondary valency of CO in the complex is_______.
(Round off to the nearest integer)
 

The overall stability constant of the complex ion \mathrm{\left [ Cu\left ( NH_{3} \right )_{4} \right ]^{2+}} is 2.1\times 10^{1 3}. The overall dissociation constant is y\times 10^{-14}. Then y is ___________(Nearest integer)
 

Identify the correct order of solubility in aqueous medium:

Option: 1

Na2S > ZnS > CuS


Option: 2

CuS > ZnS > Na2S


Option: 3

ZnS > Na2S > CuS


Option: 4

Na2S > CuS > ZnS


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