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Reciprocal rule

The reciprocal rule is a fundamental formula in that determines the of the of a . For a f(x) that is differentiable at a point where f(x) \neq 0, the reciprocal rule states that if g(x) = \frac{1}{f(x)}, then g'(x) = -\frac{f'(x)}{[f(x)]^2}. This rule is a special case of the more general , applicable specifically when the numerator is the constant 1, and it simplifies the computation of derivatives for functions expressed as reciprocals. The reciprocal rule can be derived from the or the limit definition of the . It assumes the underlying 's differentiability and non-zero value.

Definition and Fundamentals

Statement of the Rule

The reciprocal rule in provides the derivative of the multiplicative inverse of a . Specifically, if f is a such that f(x) \neq 0, then the of \frac{1}{f(x)} is given by \frac{d}{dx} \left( \frac{1}{f(x)} \right) = -\frac{f'(x)}{[f(x)]^2}. This formula expresses how the rate of change of the reciprocal relates inversely to the square of the original and directly to its . To denote this more clearly, let g(x) = \frac{1}{f(x)}. Then, the reciprocal rule states that g'(x) = -\frac{f'(x)}{[f(x)]^2}, provided f(x) \neq 0 and f is . This rule serves as a fundamental tool in basic , enabling the computation of derivatives for expressions where one is the of another. The reciprocal rule arises naturally in the differentiation of rational functions and other expressions involving inverses, facilitating the analysis of their behavior without resorting to more complex methods.

Assumptions and Prerequisites

The reciprocal rule in applies under specific mathematical conditions to ensure the derivative of the reciprocal function g(x) = 1/f(x) is well-defined. Primarily, the function f must be differentiable at the point x, meaning its f'(x) exists, which guarantees that g is also differentiable at that point. Additionally, f(x) \neq 0 is required to prevent in the expression for g(x). The condition f(x) \neq 0 is critical because it ensures that the function g(x) is defined at x and that the computation avoids singularities or , such as infinite or discontinuities in the reciprocal. Without this, the defining the of g may not exist or could lead to indeterminate forms that invalidate the rule. To understand the reciprocal rule, foundational knowledge includes the limit definition of the , which serves as the basis for deriving such rules through first principles. Differentiability of f at x also implies that f is continuous there, providing the necessary for algebraic operations. Furthermore, familiarity with basic algebraic manipulations, such as handling limits of quotients and products, is essential for following the underlying derivations. The rule operates within the domain where f is defined and nonzero, typically in the context of real-valued functions analyzed in , ensuring applicability to standard problems without complex extensions.

Derivations

Direct Proof Using Limit Definition

To prove the reciprocal rule using the limit definition of the derivative, consider a function f that is differentiable at x with f(x) \neq 0. Let g(x) = 1/f(x). The derivative g'(x) is given by the g'(x) = \lim_{h \to 0} \frac{g(x+h) - g(x)}{h} = \lim_{h \to 0} \frac{\frac{1}{f(x+h)} - \frac{1}{f(x)}}{h}. Assuming f(x+h) \neq 0 for sufficiently small h (which follows from the continuity of f at x since differentiability implies continuity), combine the fractions in the numerator: \frac{1}{f(x+h)} - \frac{1}{f(x)} = \frac{f(x) - f(x+h)}{f(x+h) f(x)}, so g'(x) = \lim_{h \to 0} \frac{f(x) - f(x+h)}{h f(x+h) f(x)} = -\lim_{h \to 0} \frac{f(x+h) - f(x)}{h f(x+h) f(x)}. This can be expressed as the product of limits: g'(x) = -\left( \lim_{h \to 0} \frac{f(x+h) - f(x)}{h} \right) \left( \lim_{h \to 0} \frac{1}{f(x+h) f(x)} \right). The first limit is f'(x) by the differentiability of f. The second limit is $1/[f(x) f(x)] = 1/[f(x)]^2, since f(x+h) \to f(x) as h \to 0 by continuity and f(x) \neq 0. Thus, g'(x) = -\frac{f'(x)}{[f(x)]^2}. This establishes the reciprocal rule directly from the definition of the derivative and properties of , without relying on other differentiation formulas such as the product or quotient rules, providing a foundational proof applicable under the stated assumptions.

Algebraic Derivation from Product Rule

To derive the reciprocal rule algebraically from the , consider a f(x) where f(x) \neq 0. Define g(x) = \frac{1}{f(x)} = f(x)^{-1}. This can be rewritten as the product g(x) \cdot f(x) = 1, where 1 is a . Differentiating both sides with respect to x using the yields: g'(x) f(x) + g(x) f'(x) = 0, assuming f(x) is and f(x) \neq 0 to ensure the expressions are defined. Solving for g'(x), isolate the term involving the : g'(x) f(x) = -g(x) f'(x), g'(x) = -\frac{g(x) f'(x)}{f(x)}. Substituting g(x) = \frac{1}{f(x)} gives: g'(x) = -\frac{\frac{1}{f(x)} f'(x)}{f(x)} = -\frac{f'(x)}{[f(x)]^2}. Thus, the reciprocal rule states that \frac{d}{dx} \left[ \frac{1}{f(x)} \right] = -\frac{f'(x)}{[f(x)]^2}. This algebraic derivation assumes the has already been established, along with the properties of inverse functions, but it bypasses direct manipulation of the limit definition of the , rendering it less foundational than proofs built from first principles. It implicitly draws on the intuition behind logarithmic differentiation—where the logarithm of a product simplifies to a sum—yet presents the result through pure algebraic steps without invoking logarithms.

Applications

Generalization of the Power Rule

The power rule, initially established for positive exponents, states that the derivative of x^n is n x^{n-1}, where n is a positive . This formula allows efficient computation of derivatives for polynomial terms with non-negative powers. To extend the power rule to negative exponents, consider a function of the form x^{-m}, where m > 0. This can be rewritten as x^{-m} = \frac{1}{x^m}. Applying the reciprocal rule, which gives the derivative of \frac{1}{f(x)} as -\frac{f'(x)}{[f(x)]^2}, with f(x) = x^m, yields f'(x) = m x^{m-1}. Thus, the derivative is -\frac{m x^{m-1}}{(x^m)^2} = -m x^{m-1} x^{-2m} = -m x^{-m-1}. Substituting n = -m confirms that \frac{d}{dx} x^n = n x^{n-1} holds for negative exponents as well. This extension unifies the power rule across positive and negative exponents, and further generalizations using the chain rule accommodate fractional and real exponents n (where the function is defined and differentiable). For instance, the derivative of x^{-1} = \frac{1}{x} is -x^{-2} = -\frac{1}{x^2}, illustrating the rule's application to simple reciprocals. In early calculus texts, such as those developing fluxional methods, the reciprocal rule facilitated this bridge from basic positive powers to the full generality of the power rule, enabling broader applications in analysis.

Proof of the Quotient Rule

The quotient rule provides the derivative of a ratio of two differentiable functions f(x) and g(x), where g(x) \neq 0, as \frac{d}{dx} \left[ \frac{f(x)}{g(x)} \right] = \frac{g(x) f'(x) - f(x) g'(x)}{[g(x)]^2}. To derive this using the reciprocal rule, first rewrite the quotient as a product: \frac{f(x)}{g(x)} = f(x) \cdot \frac{1}{g(x)}. Differentiate both sides using the , which states that the derivative of a product u(x) v(x) is u'(x) v(x) + u(x) v'(x). This yields \frac{d}{dx} \left[ f(x) \cdot \frac{1}{g(x)} \right] = f'(x) \cdot \frac{1}{g(x)} + f(x) \cdot \frac{d}{dx} \left[ \frac{1}{g(x)} \right]. Next, substitute the , which gives the of the reciprocal as \frac{d}{dx} \left[ \frac{1}{g(x)} \right] = -\frac{g'(x)}{[g(x)]^2}. The expression becomes f'(x) \cdot \frac{1}{g(x)} + f(x) \cdot \left( -\frac{g'(x)}{[g(x)]^2} \right) = \frac{f'(x)}{g(x)} - \frac{f(x) g'(x)}{[g(x)]^2}. To simplify, combine over the common denominator [g(x)]^2: \frac{f'(x) \cdot g(x) - f(x) g'(x)}{[g(x)]^2} = \frac{g(x) f'(x) - f(x) g'(x)}{[g(x)]^2}, which matches the exactly. This derivation is concise, relying on the composition of the product and reciprocal rules to establish the more general , thereby illustrating the reciprocal rule's foundational role in differentiation techniques.

Derivatives of Trigonometric Functions

The reciprocal rule provides a straightforward method for finding the derivatives of reciprocal trigonometric functions, such as secant and cosecant, by leveraging the known derivatives of the basic sine and cosine functions. The derivative of sine is \frac{d}{dx} \sin x = \cos x, and the derivative of cosine is \frac{d}{dx} \cos x = -\sin x. The secant function is defined as \sec x = \frac{1}{\cos x}. Applying the reciprocal rule, which states that if f(x) = \frac{1}{g(x)} then f'(x) = -\frac{g'(x)}{[g(x)]^2}, yields: \frac{d}{dx} \sec x = -\frac{\frac{d}{dx} \cos x}{(\cos x)^2} = -\frac{-\sin x}{\cos^2 x} = \frac{\sin x}{\cos^2 x}. This simplifies to \sec x \tan x using the identities \sec x = \frac{1}{\cos x} and \tan x = \frac{\sin x}{\cos x}. To illustrate, consider the step-by-step computation at x = \frac{\pi}{4}: first, \cos \frac{\pi}{4} = \frac{\sqrt{2}}{2}, so \sec \frac{\pi}{4} = \sqrt{2}; then, \sin \frac{\pi}{4} = \frac{\sqrt{2}}{2}, leading to the derivative value \sqrt{2} \cdot 1 = \sqrt{2}. Similarly, the cosecant function is defined as \csc x = \frac{1}{\sin x}. Using the reciprocal rule: \frac{d}{dx} \csc x = -\frac{\frac{d}{dx} \sin x}{(\sin x)^2} = -\frac{\cos x}{\sin^2 x}. This simplifies to -\csc x \cot x via the identities \csc x = \frac{1}{\sin x} and \cot x = \frac{\cos x}{\sin x}. These derivations highlight how the reciprocal rule streamlines the differentiation of trigonometric functions by building directly on the foundational sine and cosine derivatives, avoiding the need to memorize separate formulas for each reciprocal function. This method focuses on direct reciprocals like and cosecant, though it extends to related functions such as cotangent through the .

References

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    Proof: By the Reciprocal Rule, the function 1/g is differentiable at a and (1/g)/(a) = −g/(a)/g2(a). By the Product Rule, the function f /g = f · (1/g) is also ...
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