Newton-Leibnitz's Formula

Newton-Leibnitz's Formula

Edited By Komal Miglani | Updated on Jul 02, 2025 07:44 PM IST

Newton Leibnitz's Theorem 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 integration concepts have been broadly applied in branches of mathematics, physics, engineering, economics, and biology.

This Story also Contains
  1. Newton Leibnitz's Theorem
  2. Solved Examples Based on Newton Leibnitz's Theorem
  3. Summary
Newton-Leibnitz's Formula
Newton-Leibnitz's Formula

Newton Leibnitz's Theorem

Newton Leibnitz's Theorem states that If the functions u(x) and v(x) are defined and f(t) is a continuous function, then

$\frac{d}{d x}\left[\int_{\mathbf{u}(\mathbf{x})}^{\mathbf{v}(\mathbf{x})} \mathbf{f}(\mathbf{t}) \mathrm{dt}\right]=\mathbf{f}(\mathbf{v}(\mathbf{x})) \cdot \frac{\mathrm{d}}{\mathrm{dx}}\{\mathbf{v}(\mathbf{x})\}-\mathbf{f}(\mathbf{u}(\mathbf{x})) \cdot \frac{d}{d x}\{\mathbf{u}(\mathbf{x})\}$

It gives us the condition to differentiate the definite integral of which limits are functions of a different variable. When the limits of the integral are completely different functions compared to the function of the integral sign, then the Newton-Leibniz method is applicable. This is used to find the derivative of the integration. It is only useful in the case of definite integral. It can be used to find the differentiation of the nth order.

Definite integration calculates the area under a curve between two specific points on the x-axis.

Let f be a function of x defined on the closed interval [a, b]. 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.

Proof:

$\begin{array}{ll}\text { Let } & \frac{d}{d x}\{F(x)\}=f(x) \\ \Rightarrow & \int_{u(x)}^{v(x)} f(t) d t=F(v(x))-F(u(x)) \\ \Rightarrow & \frac{d}{d x}\left[\int_{u(x)}^{v(x)} f(t) d t\right]=\frac{d}{d x}(F(v(x))-F(u(x))) \\ \Rightarrow & \frac{d}{d x}\left[\int_{u(x)}^{v(x)} f(t) d t\right]=F^{\prime}(v(x)) \frac{d}{d x}\{v(x)\}-F^{\prime}(u(x)) \frac{d}{d x}\{u(x)) \\ \Rightarrow & \frac{d}{d x}\left[\int_{u(x)}^{v(x)} f(t) d t\right]=f(v(x)) \frac{d}{d x}\{v(x)\}-f(u(x)) \frac{d}{d x}\{u(x)\}\end{array}$

$\frac{d}{d t}\left(\int_{f(t)}^{\phi(t))} F(x) d x\right)=F(\phi(t)) \phi^{\prime}(t)-F(f(t)) f^{\prime}(t)$

Recommended Video Based on Newton Leibnitz's Theorem


Solved Examples Based on Newton Leibnitz's Theorem

Example 1: Let $F: R \rightarrow R$ be a differentiable function having $f(2)=6, f^{\prime}(2)=\left(\frac{1}{48}\right)$. Then $\lim _{x \rightarrow 2} \int_6^{f(x)} \frac{4 t^3}{x-2} d t$ equals

1) 18

2) 24

3) 36

4) 12

Solution

As we learnt in

NEWTON LEIBNITZ THEOREM -

$\frac{d}{d t}\left(\int_{f(t)}^{\phi(t))} F(x) d x\right)=F(\phi(t)) \phi^{\prime}(t)-F(f(t)) f^{\prime}(t)$

$f(2)=6 ; f^{\prime}(2)=1 / 48$

$\lim _{x \rightarrow 2} \int_6^{f(x)} \frac{4 t^3 d t}{x-2}=\lim _{x \rightarrow 2} \frac{4(f(x))^3 \times f^{\prime}(x)}{1}$

$\Rightarrow 4(f(2))^3 \times f^{\prime}(2)$

$\Rightarrow 4 \times 6^3 \times \frac{1}{48}=\frac{4 \times 216}{48}=18$

Hence, the answer is the option 1.

Example 2: If $f(x)=\int_0^x t(\sin x-\sin t) d t$

then

1) $f^{\prime \prime \prime}(x)+f^{\prime \prime}(x)=\sin x$
2) $f^{\prime \prime \prime}(x)+f^{\prime \prime}(x)-f^{\prime}(x)=\cos x$
3) $f^{\prime \prime \prime}(x)+f^{\prime}(x)=\cos x-2 x \sin x$
4) $f^{\prime \prime \prime}(x)-f^{\prime \prime}(x)=\cos x-2 x \sin x$

Solution

As we have learned

NEWTON LEIBNITZ THEOREM -

$\frac{d}{d t}\left(\int_{f(t)}^{\phi(t))} F(x) d x\right)=F(\phi(t)) \phi^{\prime}(t)-F(f(t)) f^{\prime}(t)$

$f(x)=\int_0^x t \sin x d t-\int_0^x t \sin t d t$

$=\frac{x^2}{2} \sin x-\int_0^x t \sin t$

$f^{\prime}(x)=x \sin x+\frac{x^2}{2} \cos x-x \sin x$

$f^{\prime}(x)=\frac{x^2}{2} \cos x$

$f^{\prime \prime}(x)=x \cos x-\frac{x^2}{2} \sin x$

$f^{\prime \prime \prime}(x)=-x \sin x+\cos x-x \sin x-\frac{x^2}{2} \cos x$

Thus $f^{\prime \prime \prime}(x)+f^{\prime}(x)=\cos x-2 x \sin x$

Hence, the answer is the option 3.

Example 3: Let $f:(0, \infty) \rightarrow R$ and $F(x)=\int_1^x f(t) d t$. If $F\left(x^2\right)=x^2(1+x)$ then $f(4)$ equals :

1) 5/4

2) 7

3) 4

4) 2

Solution

As we learned

NEWTON LEIBNITZ THEOREM -

$\frac{d}{d t}\left(\int_{f(t)}^{\phi(t))} F(x) d x\right)=F(\phi(t)) \phi^{\prime}(t)-F(f(t)) f^{\prime}(t)$

$F^{\prime}(x)=f(x)$

$F(x)=x(1+\sqrt{x})=x+x^{\frac{3}{2}}$

$F^{\prime}(x)=f(x)=1+\frac{3}{2} \sqrt{x}$

$\therefore f(4)=4$

Hence, the answer is the option (3).

Example 4: $\lim _{x \rightarrow 0} \frac{\int_0^{x^2} \cos t^2 d t}{x \sin x}=?$ :

1) 1

2) 2

3) 0

4) 0.5

Solution

As we learned

NEWTON LEIBNITZ THEOREM -

$\frac{d}{d t}\left(\int_{f(t)}^{\phi(t))} F(x) d x\right)=F(\phi(t)) \phi^{\prime}(t)-F(f(t)) f^{\prime}(t)$

Limit= $\lim _{x \rightarrow 0} \frac{\frac{d}{d x} \int_0^{x^2} \cos t^2 d t}{\frac{d}{d x}(x \sin x)}=\lim _{x \rightarrow 0} \frac{\cos \left(x^2\right)^2 \cdot \frac{d\left(x^2\right)}{d x}}{\sin x+x \cos x}$

$=\lim _{x \rightarrow 0} \frac{2 x \cos x^4}{\sin x+x \cos x}=\lim _{x \rightarrow 0} \frac{2 x \cos x^4}{x \cdot\left(\frac{\sin x}{x}\right)+x \cos x}=\lim _{x \rightarrow 0} \frac{2 \cos x^4}{1+\cos x}=1$

Hence, the answer is the option (1).

Example 5: if $\int_{\sin x}^1 t^2 f(t) d t=1-\sin x, x \in\left(0, \frac{\Pi}{2}\right)$ then $f\left(\frac{1}{\sqrt{3}}\right)=$ :

1) 3
2) $\frac{1}{3}$
3) $\frac{1}{\sqrt{3}}$
4) $\sqrt{3}$

Solution

As we learned

NEWTON LEIBNITZ THEOREM -

$\frac{d}{d t}\left(\int_{f(t)}^{\phi(t))} F(x) d x\right)=F(\phi(t)) \phi^{\prime}(t)-F(f(t)) f^{\prime}(t)$

On differentiating both sides, we get

$\Rightarrow-\sin ^2 x f(\sin x) \cos x=-\cos x$

$\begin{aligned} & \Rightarrow f(\sin x)=\operatorname{cosec}^2 x \\ & \Rightarrow f(x)=\frac{1}{x^2} \\ & \Rightarrow f\left(\frac{1}{\sqrt{3}}\right)=3\end{aligned}$

Hence, the answer is the option (1).

Summary

Newton Lebinzn's theorem is a powerful tool in calculus that allows us to calculate the area under a curve between two specific points. It provides a deeper understanding of mathematical ideas paramount for later developments in many scientific and engineering disciplines.

Frequently Asked Questions (FAQs)

1. What is the Newton-Leibniz formula and why is it important in calculus?
The Newton-Leibniz formula, also known as the Fundamental Theorem of Calculus, establishes a connection between differentiation and integration. It states that if F(x) is an antiderivative of f(x), then the definite integral of f(x) from a to b is equal to F(b) - F(a). This formula is crucial because it provides a way to evaluate definite integrals without using Riemann sums, making many calculations much simpler.
2. How does the Newton-Leibniz formula relate to the concept of area under a curve?
The Newton-Leibniz formula directly relates to the area under a curve. The definite integral of a function f(x) from a to b represents the area under the curve of f(x) between x = a and x = b. The formula allows us to calculate this area by finding an antiderivative F(x) of f(x) and evaluating F(b) - F(a), which gives the same result as summing infinitesimal rectangles under the curve.
3. Can you explain the difference between indefinite and definite integrals in the context of the Newton-Leibniz formula?
The Newton-Leibniz formula relates to definite integrals. An indefinite integral is a family of antiderivatives of a function, while a definite integral is a specific number representing the area under a curve between two points. The formula uses the antiderivative (indefinite integral) to calculate the definite integral by evaluating the antiderivative at the upper and lower limits and finding the difference.
4. Why do we need to subtract F(a) from F(b) in the Newton-Leibniz formula?
We subtract F(a) from F(b) because we're interested in the change in the antiderivative over the interval [a, b]. This difference represents the accumulated area under the curve of f(x) from a to b. If we only evaluated F(b), we would be including all the area from the y-axis to x = b, rather than just the area between a and b.
5. How does the Newton-Leibniz formula simplify the process of integration?
The Newton-Leibniz formula simplifies integration by allowing us to evaluate definite integrals without using complex limit processes or Riemann sums. Instead, we can find an antiderivative of the function (which is often easier), and then simply evaluate it at the endpoints of the interval. This makes many integration problems much more manageable.
6. How does the Newton-Leibniz formula help in solving real-world problems?
The Newton-Leibniz formula is crucial in solving many real-world problems involving accumulation or total change. For example, it can be used to calculate:
7. What are some common mistakes students make when applying the Newton-Leibniz formula?
Common mistakes include:
8. Can the Newton-Leibniz formula be used to evaluate improper integrals?
The Newton-Leibniz formula can be extended to evaluate some improper integrals, but care must be taken. For integrals with infinite limits or integrands with vertical asymptotes, we use limits in conjunction with the formula. For example, ∫[0 to ∞] f(x) dx = lim[b→∞] [F(b) - F(0)], where F is an antiderivative of f. However, not all improper integrals converge, so additional analysis is often necessary.
9. Can you explain how the Newton-Leibniz formula is used in probability theory?
In probability theory, the Newton-Leibniz formula is used to calculate probabilities in continuous distributions. If f(x) is a probability density function, then P(a ≤ X ≤ b) = ∫[a to b] f(x) dx. The formula allows us to evaluate this integral by finding the cumulative distribution function F(x) (which is an antiderivative of f(x)) and calculating F(b) - F(a).
10. Can you explain how the Newton-Leibniz formula is used in calculating moments in physics and engineering?
In physics and engineering, moments (such as center of mass or moment of inertia) often involve integrals of the form ∫[a to b] x f(x) dx, where f(x) might represent mass or density distribution. The Newton-Leibniz formula allows us to evaluate these integrals by finding an antiderivative of x f(x) and applying the formula. This simplifies calculations in structural analysis, fluid dynamics, and many other areas.
11. How does the Newton-Leibniz formula help in understanding the concept of flux in physics and engineering?
In physics and engineering, flux is often calculated as the integral of a vector field over a surface. While the Newton-Leibniz formula doesn't directly apply to surface integrals, its multidimensional analogue (the Divergence Theorem) does. Understanding the basic Newton-Leibniz formula helps in grasping how the Divergence Theorem relates the flux through a closed surface to a volume integral of the divergence of the field.
12. What are the prerequisites for applying the Newton-Leibniz formula?
To apply the Newton-Leibniz formula, we need:
13. How does the Newton-Leibniz formula demonstrate the inverse relationship between differentiation and integration?
The Newton-Leibniz formula shows that integration and differentiation are inverse operations. It states that if we integrate a function f(x) and then differentiate the result, we get back to f(x). Conversely, if we differentiate a function F(x) and then integrate the result from a to b, we get F(b) - F(a). This inverse relationship is at the heart of the Fundamental Theorem of Calculus.
14. Can the Newton-Leibniz formula be applied to all functions?
The Newton-Leibniz formula can be applied to all continuous functions on a closed interval [a, b]. However, it's important to note that not all functions have antiderivatives that can be expressed in terms of elementary functions. For such functions, we might need to use numerical methods or special functions to evaluate the integral.
15. How does the Newton-Leibniz formula relate to the concept of accumulation functions?
An accumulation function A(x) represents the area under a curve f(t) from a fixed lower limit a to a variable upper limit x. The Newton-Leibniz formula shows that if F(x) is an antiderivative of f(x), then A(x) = F(x) - F(a). This means that the accumulation function is itself an antiderivative of the original function, differing only by a constant.
16. What is the significance of the constant of integration in the context of the Newton-Leibniz formula?
The constant of integration, which appears when finding an indefinite integral, cancels out when applying the Newton-Leibniz formula. This is because we subtract F(a) from F(b), and the constant appears in both terms, thus canceling. This is why we can ignore the constant of integration when evaluating definite integrals using this method.
17. Can you explain the role of the Newton-Leibniz formula in proving the Mean Value Theorem for Integrals?
The Newton-Leibniz formula is instrumental in proving the Mean Value Theorem for Integrals. This theorem states that for a continuous function f(x) on [a, b], there exists a c in [a, b] such that f(c) = (1/(b-a)) * ∫[a to b] f(x) dx. The proof uses the Newton-Leibniz formula to express the integral in terms of an antiderivative, and then applies the Mean Value Theorem for Derivatives to this antiderivative.
18. How does the Newton-Leibniz formula extend to multivariable calculus?
In multivariable calculus, the Newton-Leibniz formula extends to the Fundamental Theorem of Line Integrals and the Divergence Theorem. These theorems relate line and surface integrals to simpler evaluations, much like how the Newton-Leibniz formula relates definite integrals to antiderivatives. This extension allows for the simplification of complex multidimensional integrals.
19. How does the Newton-Leibniz formula relate to the concept of signed area?
The Newton-Leibniz formula calculates the signed area under a curve. When f(x) is positive, the integral represents the area above the x-axis. When f(x) is negative, the integral represents the negative of the area below the x-axis. This means that the formula can give positive, negative, or zero results, depending on the behavior of the function within the interval.
20. How does the Newton-Leibniz formula help in understanding the concept of net change?
The Newton-Leibniz formula directly calculates the net change of a quantity. If f(x) represents the rate of change of a quantity Q with respect to x, then ∫[a to b] f(x) dx = F(b) - F(a) represents the net change in Q from x = a to x = b. This interpretation is particularly useful in physics and engineering applications.
21. What is the relationship between the Newton-Leibniz formula and the concept of a Riemann sum?
The Newton-Leibniz formula provides a shortcut to what a Riemann sum calculates in the limit. While a Riemann sum approximates the area under a curve by summing the areas of many narrow rectangles, the Newton-Leibniz formula gives the exact result that would be obtained if we could sum an infinite number of infinitesimally thin rectangles. In essence, it's the limiting case of the Riemann sum process.
22. How does the Newton-Leibniz formula relate to the concept of displacement in physics?
In physics, if v(t) represents velocity as a function of time, then ∫[a to b] v(t) dt represents the displacement over the time interval [a, b]. The Newton-Leibniz formula allows us to calculate this displacement by finding an antiderivative of v(t) (which would be the position function) and evaluating it at the endpoints of the time interval.
23. How does the Newton-Leibniz formula help in understanding the concept of work in physics?
In physics, work is defined as the integral of force over displacement. If F(x) represents a variable force, then the work done in moving an object from position a to b is given by W = ∫[a to b] F(x) dx. The Newton-Leibniz formula allows us to calculate this work by finding an antiderivative of F(x) and evaluating it at the endpoints of the displacement.
24. What is the significance of the Newton-Leibniz formula in the development of calculus?
The Newton-Leibniz formula, as part of the Fundamental Theorem of Calculus, was a groundbreaking development that unified the previously separate concepts of differentiation and integration. It showed that these operations are inverse to each other, which not only simplified many calculations but also provided deep insights into the nature of continuous change and accumulation. This unification was crucial in the development of modern mathematics and physics.
25. How does the Newton-Leibniz formula relate to the concept of average value of a function?
The average value of a continuous function f(x) over an interval [a, b] is given by (1/(b-a)) * ∫[a to b] f(x) dx. The Newton-Leibniz formula allows us to calculate this integral easily, making the computation of average values much more manageable. This concept is widely used in physics, economics, and other fields where average behavior over an interval is important.
26. How does the Newton-Leibniz formula help in understanding the concept of potential energy in physics?
In physics, potential energy is often calculated as the negative integral of a force function. For example, gravitational potential energy is -∫ g dx, where g is the gravitational force. The Newton-Leibniz formula allows us to evaluate this integral easily, showing how potential energy changes between two points. This connection between force and potential energy is fundamental in understanding energy conservation in physical systems.
27. What is the role of the Newton-Leibniz formula in numerical integration methods?
While the Newton-Leibniz formula itself is an analytical method, it forms the theoretical basis for many numerical integration techniques. Methods like the trapezoidal rule or Simpson's rule can be seen as approximations of what the Newton-Leibniz formula would give if we could find an exact antiderivative. Understanding the formula helps in developing and analyzing the accuracy of these numerical methods.
28. How does the Newton-Leibniz formula relate to the concept of path independence in conservative vector fields?
In vector calculus, a vector field F is conservative if the line integral of F along any path between two points is independent of the path taken. This property is closely related to the Newton-Leibniz formula. If F = ∇φ for some scalar function φ, then the line integral of F from a to b is equal to φ(b) - φ(a), regardless of the path. This is analogous to how the definite integral in the Newton-Leibniz formula depends only on the endpoints, not the specific function used as the antiderivative.
29. Can you explain how the Newton-Leibniz formula is used in solving differential equations?
The Newton-Leibniz formula is crucial in solving certain types of differential equations, particularly in finding particular solutions. For example, in solving y' = f(x), we can use the formula to write the general solution as y = ∫ f(x) dx + C. The formula allows us to move from the derivative (given in the differential equation) to the function itself (the solution we're seeking).
30. What is the significance of the Newton-Leibniz formula in the study of power series?
The Newton-Leibniz formula plays a role in working with power series, particularly in term-by-term integration. If we have a power series representation of a function f(x), we can integrate it term by term and then use the Newton-Leibniz formula to evaluate definite integrals of f(x). This connection helps in understanding the relationship between a function, its power series, and its integral.
31. How does the Newton-Leibniz formula relate to the concept of antiderivatives in general?
The Newton-Leibniz formula highlights the importance of antiderivatives in integration. It shows that any antiderivative can be used to evaluate a definite integral, as the difference F(b) - F(a) will be the same regardless of which antiderivative is chosen. This emphasizes that antiderivatives differ only by a constant, and explains why we can ignore the "+C" when evaluating definite integrals.
32. Can you explain how the Newton-Leibniz formula is used in calculating arc length?
The arc length of a curve y = f(x) from x = a to x = b is given by the integral ∫[a to b] √(1 + (f'(x))^2) dx. The Newton-Leibniz formula allows us to evaluate this integral if we can find an antiderivative of the integrand. While finding this antiderivative is often challenging, the formula provides a clear theoretical framework for understanding and calculating arc length.
33. How does the Newton-Leibniz formula help in understanding the concept of work-energy theorem in physics?
The work-energy theorem states that the work done on an object equals its change in kinetic energy. This can be expressed as W = ΔK = ∫[x1 to x2] F dx = K2 - K1. The Newton-Leibniz formula allows us to evaluate the work integral on the left side of the equation, showing how it equals the difference in kinetic energy. This demonstrates the deep connection between the concepts of work, force, and energy in physics.
34. What is the role of the Newton-Leibniz formula in optimization problems?
In optimization problems, we often need to find the maximum or minimum value of a function over

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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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