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Revision: 12th Std >> Differentiation MAH-MHT CET (PCM/PCB) Differentiation

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Formulae [3]

Formula: Derivative of Standard Function
y = f(x) dy/dx = f′(x)
c (Constant) 0
xⁿ n xⁿ⁻¹
\[\frac{1}{x}\] \[-\frac{1}{x^2}\]
\[\frac{1}{x^n}\] \[-\frac{n}{x^{n+1}}\]
\[\sqrt{x}\] \[\frac{1}{2\sqrt{x}}\]
sin x cos x
cos x −sin x
tan x sec² x
sec x sec x tan x
cosec x −cosec x cot x
cot x −cosec² x
aˣ log a
log x \[\frac{1}{x}\]
logₐ x \[\frac{1}{x\log a}\]
Formula: Derivative of Composite Functions
Function Derivative
[f(x)]ⁿ n[f(x)]ⁿ⁻¹ · f′(x)
\[\sqrt{\mathrm{f}(x)}\] \[\frac{1}{2\sqrt{\mathrm{f}(x)}}\cdot\mathrm{f}^{\prime}(x)\]
\[\frac{1}{\mathrm{f}(x)}\] \[-\frac{1}{\left[\mathrm{f}(x)\right]^{2}}\cdot\mathrm{f}^{\prime}(x)\]
sin(f(x)) cos(f(x)) · f′(x)
cos(f(x)) −sin(f(x)) · f′(x)
tan(f(x)) sec²(f(x)) · f′(x)
cot(f(x)) −cosec²(f(x)) · f′(x)
sec(f(x)) sec(f(x)) tan(f(x)) · f′(x)
cosec(f(x)) −cosec(f(x)) cot(f(x)) · f′(x)
\[\mathbf{a}^{\mathbf{f}(x)}\] \[a^{f(x)}\log a\cdot f^{\prime}(x)\]
\[\mathrm{e}^{\mathrm{f}(x)}\] \[\mathrm{e}^{\mathrm{f}(x)\cdot\mathrm{f}^{\prime}(x)}\]
log(f(x)) \[\frac{1}{\mathrm{f}(x)}\cdot\mathrm{f}^{\prime}(x)\]
logₐ(f(x)) \[\frac{1}{\mathrm{f}(x)\mathrm{loga}}\cdot\mathrm{f}^{\prime}(x)\]
Formula: Derivative of Inverse Functions
Function Derivative Condition
sin⁻¹x \[\frac{1}{\sqrt{1-x^{2}}}\] |x| < 1
sin⁻¹(f(x)) \[\frac{1}{\sqrt{1-\{f\left(x\right)\}^{2}}}\frac{d}{dx}f\left(x\right)\] |f(x)| < 1
cos⁻¹x \[-\frac{1}{\sqrt{1-x^{2}}}\] x| < 1
cos⁻¹(f(x)) \[-\frac{1}{\sqrt{1-\left\{f\left(x\right)\right\}^{2}}}\frac{d}{dx}f(x)\] |f(x)| < 1
tan⁻¹x \[\left(\frac{1}{1+x^{2}}\right)\] x ∈ R
tan⁻¹(f(x)) \[\frac{1}{1+\left\{f\left(x\right)\right\}^{2}}\frac{d}{dx}f(x)\] f(x) ∈ R
cot⁻¹x \[-\left(\frac{1}{1+x^{2}}\right)\] x ∈ R
cot⁻¹(f(x)) \[-\frac{1}{1+\{f(x)\}^{2}}\frac{d}{dx}f(x)\] f(x) ∈ R
sec⁻¹x \[\frac{1}{|x|\sqrt{x^{2}-1}}\] |x| > 1
sec⁻¹(f(x)) \[\frac{1}{|f(x)|\sqrt{\{f(x)\}^{2}-1}}\frac{d}{dx}f(x)\] |f(x)| > 1
cosec⁻¹x \[-\left(\frac{1}{|x|\sqrt{x^{2}-1}}\right)\]

|x| > 1

cosec⁻¹(f(x)) \[-\frac{1}{|f(x)|\sqrt{\{f(x)\}^{2}-1}}\frac{d}{dx}f(x)\] |f(x)| > 1

Theorems and Laws [1]

If cos y = x cos (a + y), with cos a ≠ ± 1, prove that `dy/dx = cos^2(a+y)/(sin a)`.

cos y = x cos (a + y)

∴ x = `(cos y)/(cos (a + y))`

On differentiating with respect to y,

`cos (a + y) d/dy cos y - cos y d/dy`

`therefore dx/dy = (cos (a + y))/(cos^2 (a + y))`

`= (- sin y cos (a + y) + cos y sin (a + y))/(cos^2 (a + y))`

`= (sin (a + y) cos y - cos (a + y) sin y)/(cos^2 (a + y))`

`= (sin (a + y - y))/(cos^2 (a + y))`   ...[∵ sin (A − B) = sin A cos B − cos A sin B]

`= (sin a)/(cos^2  (a + y))`

`therefore dy/dx = (cos^2 (a + y))/(sin a)`

Key Points

Key Points: Algebra of Differentiation

Let f(x), g(x) and h(x) are three real valued functions are given, then

(i) Sum of two functions
\[[f(x)+g(x)]^{\prime}=f^{\prime}(x)+g^{\prime}(x)\]

(ii) Difference of two functions
\[[f(x)-g(x)]^{\prime}=f^{\prime}(x)-g^{\prime}(x)\]

(iii) Product of two or more functions

(a) \[[f(x)\cdot g(x)]^{\prime}=f^{\prime}(x)\cdot g(x)+f(x)\cdot g^{\prime}(x)\]

(b) \[\frac{d}{dx}[f(x)\cdot g(x)\cdot h(x)]=f(x)\cdot g(x)\cdot h^{\prime}(x)\]\[+f\left(x\right)\cdot g^{\prime}\left(x\right)\cdot h(x)+f^{\prime}\left(x\right)\cdot g\left(x\right)\cdot h\left(x\right)\]

(iv) Quotient of two functions

\[\left[\frac{f(x)}{g(x)}\right]'\] = \[\frac{f^{\prime}(x)\cdot g(x)-g^{\prime}(x)\cdot f(x)}{\left[g(x)\right]^{2}}\]

provided g(x) ≠ 0

Key Points: Derivative of Composite Functions

If y is a differentiable function of u and u is a differentiable function of x, then

\[\frac{\mathrm{d}y}{\mathrm{d}x}=\frac{\mathrm{d}y}{\mathrm{d}u}\cdot\frac{\mathrm{d}u}{\mathrm{d}x}\]

Key Points: Derivative of Inverse Functions

If y = f(x) is a differentiable function of x such that the inverse function x = f⁻¹(y) exists, then x is a differentiable function of y and

\[\frac{\mathrm{d}x}{\mathrm{d}y}=\frac{1}{\left(\frac{\mathrm{d}y}{\mathrm{d}x}\right)}\], where \[\frac{\mathrm{d}y}{\mathrm{d}x}\neq0\].

Key Points: Logarithmic Differentiation

If differentiation of an expression is done after taking the logarithm on both sides, then it is called logarithmic differentiation. Generally, we apply this method when the given expression is in one of the following forms:

  1. product of a number of functions,
  2. a quotient of functions,
  3. a function which is the power of another function, i.e., \[[f(x)]^{g(x)}\]
Key Points: Derivative of Implicit Functions
  • If an equation contains both x and y and cannot be solved directly for y, it is called an implicit function.
  • Implicit functions are generally written in the form:
    f(x, y) = 0
  • To differentiate an implicit function, differentiate both sides with respect to x, treating y as a function of x.
Key Points: Derivative of Parametric Functions

If x = f(t) and y = g(t) are differentiable functions of parameter t, then

\[\frac{\mathrm{d}y}{\mathrm{d}x}=\frac{\left(\frac{\mathrm{d}y}{\mathrm{d}t}\right)}{\left(\frac{\mathrm{d}x}{\mathrm{d}t}\right)},\frac{\mathrm{d}x}{\mathrm{d}t}\neq0\]

Key Points: Higher Order Derivatives
  • If y = f(x), then \[\frac{dy}{dx}\] = f′(x) is called the first-order derivative.
  • The derivative of the first derivative is called the second-order derivative:
    \[\frac{d^2y}{dx^2}\] = f″(x)
  • Higher order derivatives are written as:
    fⁿ(x) or \[\frac{d^ny}{dx^n}\]
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