Topics
Mathematical Logic
- Statements and Truth Values in Mathematical Logic
- Logical Connectives
- Tautology, Contradiction, and Contingency
- Quantifier, Quantified and Duality Statements in Logic
- Negations of Compound Statements
- Converse, Inverse, and Contrapositive
- Algebra of Statements
- Application of Logic to Switching Circuits
- Overview of Mathematical Logic
Matrices
Trigonometric Functions
Pair of Straight Lines
Vectors
Line and Plane
Linear Programming
Differentiation
- Introduction & Derivatives of Some Standard Functions
- Derivatives of Composite Functions
- Geometrical Meaning of Derivative
- Derivative of Inverse Function
- Logarithmic Differentiation
- Derivative of Implicit Functions
- Derivatives of Functions in Parametric Forms
- Higher Order Derivatives
- Overview of Differentiation
Applications of Derivatives
- Applications of Derivatives in Geometry
- Derivatives as a Rate Measure
- Approximations
- Rolle's Theorem
- Lagrange's Mean Value Theorem (LMVT)
- Increasing and Decreasing Functions
- Maxima and Minima
- Overview of Applications of Derivatives
Indefinite Integration
Definite Integration
- Definite Integral as Limit of Sum
- Integral Calculus
- Methods of Evaluation and Properties of Definite Integral
- Overview of Definite Integration
Application of Definite Integration
- Application of Definite Integration
- Area Bounded by Two Curves
- Overview of Application of Definite Integration
Differential Equations
- Basic Concepts of Differential Equations
- Order and Degree of a Differential Equation
- Formation of Differential Equations
- Methods of Solving Differential Equations> Homogeneous Differential Equations
- Methods of Solving Differential Equations>Linear Differential Equations
- Applications of Differential Equation
- Solution of a Differential Equation
- Overview of Differential Equations
Probability Distributions
- Random Variables
- Probability Distribution of Discrete Random Variables
- Probability Distribution of a Continuous Random Variable
- Variance of a Random Variable
- Expected Value and Variance of a Random Variable
- Overview of Probability Distributions
Binomial Distribution
Definition: Logarithmic Differentiation
If differentiation of a function is performed after taking logarithm on both sides, the process is called logarithmic differentiation.
Standard Procedure
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Step 1: Take the natural logarithm (\[\log_e\] or \[\ln\]) on both sides to bring the exponent down:
\[\log y = v(x) \cdot \log[u(x)]\] -
Step 2: Differentiate both sides with respect to x using the chain rule and product rule:
\[\frac{1}{y} \cdot \frac{dy}{dx} = v(x) \cdot \frac{d}{dx}(\log[u(x)]) + \log[u(x)] \cdot \frac{d}{dx}(v(x))\] -
Step 3: Isolate \[\frac{dy}{dx}\] by multiplying the entire right side by y:
\[\frac{dy}{dx} = y \left[ \frac{v(x)}{u(x)} \cdot u'(x) + v'(x) \cdot \log[u(x)] \right]\]
Example 1
Differentiate \[\sqrt{\frac{(x - 3)(x^2 + 4)}{3x^2 + 4x + 5}}\] w.r.t. \[x\].
Solution: Let \[y = \sqrt{\frac{(x - 3)(x^2 + 4)}{(3x^2 + 4x + 5)}}\]
Taking the logarithm on both sides, we have
Now, differentiating both sides w.r.t. \[x\], we get
or \[\frac{dy}{dx} = \frac{y}{2} \left[ \frac{1}{(x - 3)} + \frac{2x}{x^2 + 4} - \frac{6x + 4}{3x^2 + 4x + 5} \right]\]
\[= \frac{1}{2} \sqrt{\frac{(x - 3)(x^2 + 4)}{3x^2 + 4x + 5}} \left[ \frac{1}{(x - 3)} + \frac{2x}{x^2 + 4} - \frac{6x + 4}{3x^2 + 4x + 5} \right]\]
Example 2
Differentiate \[x^{\sin x}, x > 0\] w.r.t. \[x\].
Solution Let \[y = x^{\sin x}\]. Taking the logarithm on both sides, we have
Therefore \[\frac{1}{y} \cdot \frac{dy}{dx} = \sin x \frac{d}{dx} (\log x) + \log x \frac{d}{dx} (\sin x)\]
\[\frac{1}{y} \frac{dy}{dx} = (\sin x) \frac{1}{x} + \log x \cos x\]
or \[\frac{dy}{dx} = y \left[ \frac{\sin x}{x} + \cos x \log x \right]\]
\[= x^{\sin x} \left[ \frac{\sin x}{x} + \cos x \log x \right]\]
\[= x^{\sin x - 1} \cdot \sin x + x^{\sin x} \cdot \cos x \log x\]
Maharashtra State Board: Class 12
Key Points: Logarithmic Differentiation
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Use logarithmic differentiation when the function is a complex product, quotient, or variable exponent form.
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Write y = function first, then take \[\ln\] on both sides.
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Apply logarithmic rules before differentiating.
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Differentiate \[\ln y\] carefully: \[\frac{d}{dx}(\ln y) = \frac{1}{y} \frac{dy}{dx}\].
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Substitute the original value of y at the end.
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Ensure the expression inside logarithm remains positive.
