Maxima and Minima in Calculus

Maxima and Minima in Calculus

Edited By Komal Miglani | Updated on Jul 02, 2025 08:10 PM IST

Functions are one of the basic concepts in mathematics that have numerous applications in the real world. Be it mega skyscrapers or super-fast cars, their modeling requires methodical application of functions. Almost all real-world problems are formulated, interpreted, and solved using functions. Image and pre-image help in determining the domain and range of the function. The practical applications of image and pre-image are graphing functions, inverse functions, and database queries.

This Story also Contains
  1. Maxima and Minima of a Function
  2. Methods to find points of Local maxima and Local minima
  3. Solved Examples Based on Maxima and Minima of Function:
Maxima and Minima in Calculus
Maxima and Minima in Calculus

In this article, we will cover the concepts of Maxima and Minima of the function. This concept falls under the broader category of sets relation and function, a crucial Chapter in class 11 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), a total of thirty-nine questions have been asked on this concept, including two in 2013, two in 2015, four in 2016, one in 2017, two in 2018, five in 2019, four in 2020, eight in 2021, six in 2022, and three in 2023.

Maxima and Minima of a Function

Function-

A relation from a set $A$ to a set $B$ is said to be a function from $A$ to $B$ if every element of set $A$ has one and only one image in set $B$.

OR
$A$ and $B$ are two non-empty sets, then a relation from $A$ to $B$ is said to be a function if each element $x$ in $A$ is assigned a unique element $f(x)$ in $B$, and it is written as
$f: A \rightarrow B$ and read as $f$ is a mapping from $A$ to $B$.
Let $f$ be a function defined on an open interval $I$. Let $f$ be continuous at a critical point $c$ in $I$. Then
(i) If $f^{\prime}(x)$ changes sign from positive to negative as $x$ increases through $c$, i.e., if $f^{\prime}(x)>0$ at every point sufficiently close to and to the left of $c$, and $f^{\prime}(x)<0$ at every point sufficiently close to and to the right of $c$ , then $c$ is a point of local maxima.
(ii) If $f^{\prime}(x)$ changes sign from negative to positive as $x$ increases through $c$, i.e., if $f^{\prime}(x)<0$ at every point sufficiently close to and to the left of $c$, and $f^{\prime}(x)>0$ at every point sufficiently close to and to the right of $c$ , then $c$ is a point of local minima.

Let $y=f(x)$ be a real function defined at $x=a$. Then the function $f(x)$ is said to have a maximum value at $x=a$ if $f(x) \leq f(a) \quad \forall a \in$ R .

And also the function $f(x)$ is said to have a minimum value at $x=$ a, if $f(x) \geq f(a) \quad \forall a \in R$

Concept of Local Maxima and Local Minima

The function $f(x)$ is said to have a local maxima (or maxima) at a point ' $a$ ' if the value of $f(x)$ at ' $a$ ' is greater than its values for all $x$ in a small neighborhood of ' $a$ ' .

In other words, $f(x)$ has a maxima at $x=$ ' $a$ ', if $f(a+h) \leq f(a)$ and $f(a-h) \leq f(a)$, where $h>0$ (very small quantity).

The function $f(x)$ is said to have local minima (or minima) at a point '$b$' if the value of $f(x)$ at ' $b$ ' is less than its values for all $x$ in a small neighborhood of $'b'$ .

In other words, $f(x)$ has a maximum at $x=$ ' $b$ ', if $f(b+h) \geq f(b)$ and $f(b-h) \geq f(b)$, where $h>0$ (very small quantity).

Methods to find points of Local maxima and Local minima

At points of local maxima and local minima, the slope of the tangent drawn to the curve is zero. For local maximum $\frac{d y}{d x}$ changes from positive to negative and for local minimum $\frac{d y}{d x}$ changes from negative to positive.

Where $y=f(x)$

$
\frac{d y}{d x}=f^{\prime}(x)
$

By second derivative method :
Step 1. find values of $x$ for $\frac{d y}{d x}=0$
Step 2. $x=x_{\circ}$ is a point of local maximum if $f^{\prime \prime}(x)<0$ and local minimum if $f^{\prime \prime}(x)>0$.

Recommended Video Based on Maxima and Minima of Function:

Solved Examples Based on Maxima and Minima of Function:

Example 1: Let the tangents drawn to the circle, $x^2+y^2=16$ from the point $P(0, h)$ meet the $x$-axis at points $A$ and $B$. If the area of $\triangle A P B$ is minimum, then h is equal to :
[JEE Main 2015]
1) $4 \sqrt{3}$
2) $3 \sqrt{3}$
3) $3 \sqrt{2}$
4) $4 \sqrt{2}$

Solution

As we learned in

Maxima Minima -

A functions graph follows up and down along the x-axis then the upper part is known as maxima and lower part is known as minima.

Let equation of tangent is

$
\begin{aligned}
& (y-h)=M(x-0) \\
& \therefore y=M x-h \\
& \therefore h= \pm \sqrt{1+M^2} \\
& \therefore A B= \pm \frac{4 \sqrt{1+M^2}}{M} \\
& \therefore \text { Area }=\frac{1}{2} \times A B \times O P \\
& =\frac{1}{2} \times \frac{8 \sqrt{1+M^2}}{M} \times 4 \sqrt{1+M^2} \\
& \frac{d A}{d m}=0 \\
& \therefore h=4 \sqrt{1+1}=4 \sqrt{2}
\end{aligned}
$

Example 2: If $f(x)$ is non-zero polynomial of degree four,having local extreme points at $x=-1,0,1$; then the set $S=\{x \in R: f(x)=f(0)\}$ contains exactly : [JEE Main 2019]

1) four irrational numbers.

2) four rational numbers.

3) two irrational and two rational numbers.

4) two irrational and one rational number.

Solution

given that
$
\begin{aligned}
& f(x)=f(0) \\
& a\left(\frac{x^4}{4}-\frac{x^2}{2}\right)+c=c \\
& \left(\frac{x^4}{4}-\frac{x^2}{2}\right)=0 \\
& \Rightarrow x^2\left(x^2-2\right)=0 \\
& x=0, \pm \sqrt{2} \\
& S=\{0, \sqrt{2},-\sqrt{2}\}
\end{aligned}
$

Example 3: The maximum volume (in cu.m) of the right circular cone having a slant height $3$m is: [JEE Main 2019]
1) $6 \pi$
2) $3 \sqrt{3} \pi$
3) $\frac{4}{3} \pi$
4) $2 \sqrt{3} \pi$

Solution

Method for maxima or minima -

By second derivative method :

Step 1. find values of $x$ for $\frac{d y}{d x}=0$
Step 2. $x=x_{\circ}$ is a point of local maximum if $f^{\prime \prime}(x)<0$ and local minimum if $f^{\prime \prime}(x)>0$
- wherein

Where $y=f(x)$

$
\frac{d y}{d x}=f^{\prime}(x)
$

$
\begin{aligned}
& l=3 m(\text { slant height }) \\
& h=3 \cos (\theta) \\
& r=3 \sin (\theta)
\end{aligned}
$

Volume of right circular cone

$
\begin{aligned}
V & =\frac{1}{3} \pi r^2 h \\
& =\frac{1}{3} \pi(3 \sin (\theta))^2(3 \cos (\theta)) \\
V & =\frac{\pi}{3} 9 \sin ^2 \theta \cdot 3 \cos (\theta)=9 \pi \sin ^2 \theta \cdot \cos \theta
\end{aligned}
$

for maximum volume

$
\begin{aligned}
& \frac{\mathrm{dv}}{\mathrm{d} \theta}=0, \quad \frac{\mathrm{d} v}{\mathrm{~d} \theta}=-9 \pi \sin (\theta)\left[\sin ^2(\theta)-2 \cos ^2(\theta)\right]=0 \\
& \sin (\theta)=\sqrt{\frac{2}{3}}
\end{aligned}
$

$
\frac{\mathrm{d}^2 v}{\mathrm{~d} \theta^2}=- \text { ve at } \sin (\theta)=\sqrt{\frac{2}{3}}
$

Volume is maximum when

$
\begin{aligned}
& \text { Volume is maximum when } \sin (\theta)=\sqrt{\frac{2}{3}} \\
& \therefore V_{\text {max }}=2 \sqrt{3} \pi(\text { cu.m })
\end{aligned}
$

Example 4: If $p(x)$ is a polynomial of degree three that has a local maximum value 8 at $x=1$ and a local minimum value $4$ at $x=2$; then $p(0)$ is equal to:
[JEE Main 2020]
1) $6$
2) $-12$
3) $-24$
4) $12$

Solution

Since $p(x)$ has relative extreme at $x=1 \& 2$

$
\begin{aligned}
& \text { so } \mathrm{p}^{\prime}(\mathrm{x})=0 \text { at } \mathrm{x}=1 \& 2 \\
& \Rightarrow \mathrm{p}^{\prime}(\mathrm{x})=\mathrm{A}(\mathrm{x}-1)(\mathrm{x}-2) \\
& \Rightarrow p(x)=\int A\left(x^2-3 x+2\right) d x \\
& p(x)=A\left(\frac{x^3}{3}-3 x^2+2 x\right)+C \\
& \mathrm{P}(1)=8
\end{aligned}
$

from (1)

$
\begin{aligned}
& 8=A\left(\frac{1}{3}-\frac{3}{2}+2\right)+C \\
& \Rightarrow 8=\frac{5 \mathrm{~A}}{6}+\mathrm{C} \Rightarrow 48=5 \mathrm{~A}+5 \mathrm{C} \\
& \mathrm{P}(2)=4 \\
& \Rightarrow 4=\mathrm{A}\left(\frac{8}{3}-6+4\right)+\mathrm{C} \\
& \Rightarrow 4=\frac{2 \mathrm{~A}}{3}+\mathrm{C} \Rightarrow 12=2 \mathrm{~A}+3 \mathrm{C}
\end{aligned}
$

From above

$
C=-12 \text { So } P(0)=C=-12
$

Example 5: If a rectangle is inscribed in an equilateral triangle of side length $2 \sqrt{2}$ as shown in the figure, then the square of the largest area of such a rectangle is $\qquad$ [JEE Main 2021]

1) $3$

2) $1$

3) $4$

4) $6$

Key Concepts

Solution

Let height of rectangle $=\mathrm{x}$

$
\frac{x}{y}=\tan 60^{\circ} \Rightarrow y=\frac{x}{\sqrt{3}}
$

$\therefore$ Length of rectangle $=2 \sqrt{2}-2 y=2 \sqrt{2}-\frac{2 x}{\sqrt{3}}$
Area of rectangle $=x\left(2 \sqrt{2}-\frac{2 x}{\sqrt{3}}\right)$

$
=2 \sqrt{2} x-\frac{2}{\sqrt{3}} x^2
$


For max area $\Rightarrow 2 \sqrt{2}-\frac{4}{\sqrt{3}} x=0\left(f^{\prime}(x)=0\right)$

$
\begin{gathered}
\Rightarrow x=\sqrt{\frac{3}{2}} \\
\text { Area }=2 \sqrt{2} \sqrt{\frac{3}{2}}-\frac{2}{\sqrt{3}} \frac{3}{2}=2 \sqrt{3}-\sqrt{3}=\sqrt{3}
\end{gathered}
$

Square of Area $=3$

Frequently Asked Questions (FAQs)

1. What is a function?

A relation from a set $A$ to a set $B$ is said to be a function from $A$ to $B$ if every element of set $A$ has one and only one image in set $B$. 

2. What point is local minima?

If $f^{\prime}(x)$ changes sign from negative to positive as $x$ increases through $c$, i.e., if $f^{\prime}(x)<0$ at every point sufficiently close to and to the left of $c$, and $f^{\prime}(x)>0$ at every point sufficiently close to and to the right of $c$, then $c$ is a point of local minima.

3. What point is local maxima?

If $f^{\prime}(x)$ changes sign from positive to negative as $x$ increases through $c$, i.e., if $f^{\prime}(x)>0$ at every point sufficiently close to and to the left of $c$, and $f^{\prime}(x)<0$ at every point sufficiently close to and to the right of $c$ , then $c$ is a point of local maxima.

4. What is tangent to curve at local maxima?

At points of local maxima and local minima, the slope of the tangent drawn to the curve is zero.

5. What is a change in the graph of local maximum?

For local maximum $\frac{dy}{dx}$ changes from positive to negative.

6. What are maxima and minima in calculus?
Maxima and minima are the highest and lowest points, respectively, on a function's graph. In calculus, we use derivatives to find these critical points where the function reaches its maximum or minimum values.
7. What's the difference between extrema and extreme values?
Extrema refer to the points (x-coordinates) where a function reaches its maximum or minimum values. Extreme values are the actual y-values (outputs) at these points.
8. What's the relationship between inflection points and maxima/minima?
Inflection points are where the concavity of a function changes. They often occur between maxima and minima, but they are not maxima or minima themselves. At an inflection point, the second derivative is zero or undefined.
9. How do you find absolute extrema on a closed interval?
To find absolute extrema on a closed interval [a,b]:
10. How does the Mean Value Theorem relate to maxima and minima?
The Mean Value Theorem guarantees that between any two points on a continuous, differentiable function, there's at least one point where the tangent line is parallel to the secant line connecting the two points. This often occurs at local maxima or minima.
11. How do you find the critical points of a function?
To find critical points, set the first derivative of the function equal to zero or undefined. Solve the resulting equation to find x-values. These x-values are the critical points where maxima or minima may occur.
12. What's the difference between local and global maxima/minima?
Local maxima/minima are the highest/lowest points in a specific neighborhood of the function. Global maxima/minima are the highest/lowest points for the entire domain of the function. A function can have multiple local maxima/minima but only one global maximum/minimum.
13. How do you determine if a critical point is a maximum or minimum?
Use the second derivative test: If f''(x) > 0 at the critical point, it's a local minimum. If f''(x) < 0, it's a local maximum. If f''(x) = 0, the test is inconclusive, and you need to use other methods like the first derivative test.
14. What is the first derivative test?
The first derivative test examines the sign of the first derivative before and after a critical point. If the sign changes from positive to negative, it's a local maximum. If it changes from negative to positive, it's a local minimum. If the sign doesn't change, it's neither.
15. Can a function have more than one maximum or minimum?
Yes, a function can have multiple local maxima and minima. However, it will have only one global maximum and one global minimum within its domain, unless the function is constant.
16. How do you solve optimization problems using maxima and minima?
To solve optimization problems:
17. How do you find extrema of functions with absolute values?
For functions with absolute values:
18. What's the role of the intermediate value theorem in finding extrema?
The Intermediate Value Theorem helps in locating extrema by guaranteeing that a continuous function takes on all values between any two of its function values. This can be used to prove the existence of maxima or minima between two points where the function changes sign.
19. How do you handle maxima and minima at endpoints of open intervals?
For open intervals (a,b):
20. What's the importance of the squeeze theorem in analyzing extrema?
The squeeze theorem can be useful in determining the behavior of a function near potential extrema, especially when the function is difficult to evaluate directly. By bounding the function between two simpler functions, you can infer its maxima and minima.
21. What's the role of symmetry in finding maxima and minima?
Symmetry can simplify the process of finding extrema:
22. What role do asymptotes play in finding maxima and minima?
Asymptotes can affect the global behavior of a function. Vertical asymptotes may separate regions where maxima or minima occur. Horizontal asymptotes can indicate limits as x approaches infinity, which may be global extrema.
23. How do you find maxima and minima of multivariable functions?
For multivariable functions, find critical points by setting partial derivatives equal to zero. Then use the second partial derivative test or examine the surrounding points to determine if it's a maximum, minimum, or saddle point.
24. What's the significance of Fermat's theorem in finding extrema?
Fermat's theorem states that if a function has a local extremum at a point and is differentiable there, its derivative at that point must be zero. This forms the basis for finding critical points in optimization problems.
25. What's the role of the Extreme Value Theorem in calculus?
The Extreme Value Theorem states that a continuous function on a closed interval will always have both a maximum and a minimum value on that interval. This guarantees the existence of absolute extrema for continuous functions on closed intervals.
26. How do implicit functions affect the process of finding maxima and minima?
For implicit functions, you need to use implicit differentiation to find the derivative. Then, set this derivative equal to zero and solve for critical points. The process of determining maxima and minima remains similar, but the calculations can be more complex.
27. What are saddle points, and how do they relate to maxima and minima?
Saddle points are critical points where the function is neither a local maximum nor a local minimum. They often occur in multivariable functions and appear as a maximum in one direction and a minimum in another.
28. How do you find maxima and minima of parametric equations?
To find extrema of parametric equations:
29. What's the connection between concavity and maxima/minima?
Concavity helps determine the nature of extrema. A function is concave up at a local minimum and concave down at a local maximum. The point where concavity changes (inflection point) often separates maxima from minima.
30. How do you determine if a function has no maximum or minimum?
A function may have no maximum or minimum if:
31. What's the importance of endpoints in finding extrema on closed intervals?
Endpoints are crucial because extrema can occur at these points even if they're not critical points. Always evaluate the function at endpoints when finding absolute extrema on closed intervals, as they may be the global maximum or minimum.
32. How do you find maxima and minima of piecewise functions?
For piecewise functions:
33. What's the relationship between zeros of the derivative and extrema?
Zeros of the derivative (where f'(x) = 0) are potential locations of extrema. However, not all zeros of the derivative are extrema; they're just critical points. You need to use additional tests (like the second derivative test) to confirm if they're maxima or minima.
34. What's the role of continuity in finding maxima and minima?
Continuity is crucial for the existence of extrema. The Extreme Value Theorem only applies to continuous functions. Discontinuities can create "jumps" where the function might approach a maximum or minimum but never actually reach it.
35. How do you find maxima and minima of trigonometric functions?
For trigonometric functions:
36. What's the significance of inflection points in relation to maxima and minima?
Inflection points often separate regions of maxima and minima. They indicate where the function changes from concave up to concave down (or vice versa). While not extrema themselves, inflection points are crucial in understanding the overall behavior of the function.
37. How do you determine if a critical point is a local or global extremum?
To determine if a critical point is a local or global extremum:
38. What's the importance of the closed interval method in optimization?
The closed interval method is crucial for finding absolute extrema on a closed interval [a,b]. It ensures you don't miss any potential extrema by:
39. How do you find maxima and minima of rational functions?
For rational functions:
40. What's the connection between the derivative and the graph of a function at extrema?
At extrema, the derivative (slope of the tangent line) is zero or undefined. Graphically, this means the tangent line is horizontal at a smooth extremum, or the graph has a sharp turn or cusp at a non-smooth extremum.
41. How do you find maxima and minima of exponential and logarithmic functions?
For exponential and logarithmic functions:
42. What's the significance of one-sided derivatives in finding extrema?
One-sided derivatives are important at points where the function might not be smooth. A point can be an extremum if the left-hand derivative is non-negative and the right-hand derivative is non-positive (for a maximum), or vice versa for a minimum.
43. How do you find extrema of functions defined implicitly?
For implicitly defined functions:
44. What's the relationship between critical points and points of non-differentiability in finding extrema?
Both critical points (where f'(x) = 0) and points of non-differentiability are potential locations for extrema. Points where the function is not differentiable (like cusps or corners) can be extrema even though the derivative doesn't exist there.
45. How do you find maxima and minima of composite functions?
For composite functions f(g(x)):
46. How do you handle maxima and minima in functions with removable discontinuities?
For functions with removable discontinuities:
47. How do you find extrema of inverse functions?
To find extrema of inverse functions:
48. What's the significance of Rolle's Theorem in the context of maxima and minima?
Rolle's Theorem guarantees that between any two points where a differentiable function has the same value, there must be at least one point where the derivative is zero. This often corresponds to a local maximum or minimum, helping to locate extrema between equal function values.
49. How do you handle maxima and minima in functions with jump discontinuities?
For functions with jump discontinuities:
50. What's the connection between convexity and the nature of extrema?
Convexity is closely related to the nature of extrema:
51. How do you find extrema of functions involving absolute values?
For functions with absolute values:
52. What's the importance of the domain in determining global extrema?
The domain is crucial in determining global extrema:
53. How do you handle maxima and minima in multivariable calculus?
In multivariable calculus:

Articles

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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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