Proof Of Derivative Of Inverse Trig Functions

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The derivative of inverse trigonometric functions is a cornerstone of calculus, revealing the hidden rates of change within the inverse relationships of sine, cosine, tangent, and their reciprocals. While the final formulas—like the derivative of (\arcsin x) being (\frac{1}{\sqrt{1-x^2}})—are often memorized, the true understanding comes from witnessing their derivation. This article provides a complete, step-by-step proof of these essential derivatives, demystifying the process through the powerful technique of implicit differentiation and the fundamental Pythagorean identities.

Introduction: The Gateway via Implicit Differentiation

To find the derivative of an inverse function (y = f^{-1}(x)), we start with the defining relationship: (f(y) = x). Because of that, this method, called implicit differentiation, allows us to find (\frac{dy}{dx}) without ever needing to solve explicitly for (y) in terms of (x). Differentiate both sides with respect to (x), using the chain rule on the left side. 3. And 4. 2. The key insight is to differentiate both sides of this equation with respect to (x), treating (y) as a function of (x). Set (y = f^{-1}(x)), so (f(y) = x). Solve the resulting equation for (\frac{dy}{dx}). And the process universally follows these steps:

  1. Use trigonometric identities to express the result solely in terms of (x).

We will apply this blueprint to each inverse trig function, carefully noting the domain restrictions that ensure the functions are invertible.

Proof: The Derivative of (\arcsin x)

Let (y = \arcsin x). Here, the sign is crucial. By definition, this means (x = \sin y), with (y) restricted to ([-\frac{\pi}{2}, \frac{\pi}{2}]) to make sine one-to-one. Since (y) is in ([-\frac{\pi}{2}, \frac{\pi}{2}]), the cosine function is non-negative in this interval. From the Pythagorean identity (\sin^2 y + \cos^2 y = 1) and the fact that (x = \sin y), we have: [ \cos^2 y = 1 - \sin^2 y = 1 - x^2 ] Thus, (\cos y = \pm \sqrt{1 - x^2}). Differentiate both sides with respect to (x): [ \frac{d}{dx}(x) = \frac{d}{dx}(\sin y) ] [ 1 = \cos y \cdot \frac{dy}{dx} \quad \text{(by the chain rule)} ] Solving for (\frac{dy}{dx}): [ \frac{dy}{dx} = \frac{1}{\cos y} ] Our goal is to express this in terms of (x). Because of this, (\cos y = +\sqrt{1 - x^2}). Substituting back: [ \frac{dy}{dx} = \frac{1}{\sqrt{1 - x^2}} ] This is the derivative of (\arcsin x) for (x \in (-1, 1)).

Counterintuitive, but true.

Proof: The Derivative of (\arccos x)

Let (y = \arccos x), so (x = \cos y) with (y \in [0, \pi]). Here's the thing — in the interval ([0, \pi]), the sine function is non-negative. Differentiate: [ 1 = -\sin y \cdot \frac{dy}{dx} ] [ \frac{dy}{dx} = -\frac{1}{\sin y} ] Using the identity (\sin^2 y = 1 - \cos^2 y = 1 - x^2), we get (\sin y = \pm \sqrt{1 - x^2}). Hence, (\sin y = +\sqrt{1 - x^2}). Therefore: [ \frac{dy}{dx} = -\frac{1}{\sqrt{1 - x^2}} ] This gives the derivative of (\arccos x) for (x \in (-1, 1)).

Proof: The Derivative of (\arctan x)

Let (y = \arctan x), so (x = \tan y) with (y \in (-\frac{\pi}{2}, \frac{\pi}{2})). Worth adding: thus, (\cos y = \frac{\text{adjacent}}{\text{hypotenuse}} = \frac{1}{\sqrt{1 + x^2}}). This leads to differentiate: [ 1 = \sec^2 y \cdot \frac{dy}{dx} ] [ \frac{dy}{dx} = \frac{1}{\sec^2 y} = \cos^2 y ] From (x = \tan y), we construct a right triangle where the opposite side is (x) and the adjacent side is (1). The hypotenuse is then (\sqrt{1 + x^2}). Squaring this: [ \cos^2 y = \frac{1}{1 + x^2} ] Hence: [ \frac{dy}{dx} = \frac{1}{1 + x^2} ] This is the derivative of (\arctan x) for all real (x) No workaround needed..

Proof: The Derivative of (\text{arcsec } x)

Let (y = \text{arcsec } x), so (x = \sec y) with (y \in [0, \frac{\pi}{2}) \cup (\frac{\pi}{2}, \pi]). For (y \in [0, \frac{\pi}{2})), both secant and tangent are positive. To find (\tan y), use the identity (1 + \tan^2 y = \sec^2 y), so (\tan^2 y = \sec^2 y - 1 = x^2 - 1). Which means in both cases, the product (\sec y \tan y) is positive. On top of that, for (y \in (\frac{\pi}{2}, \pi]), secant is negative but tangent is negative. Thus, (\tan y = \pm \sqrt{x^2 - 1}). Practically speaking, note the standard range excludes (\frac{\pi}{2}) where secant is undefined. For the product to be positive, (\tan y) must have the same sign as (x). So, (\sec y \tan y = |x| \sqrt{x^2 - 1} / |x|) simplifies to (|x|\sqrt{x^2 - 1})? The sign depends on the quadrant. Think about it: let's correct the logic: Since (\sec y = x), the product is (x \cdot \tan y). Thus, (\tan y = \frac{\sqrt{x^2 - 1}}{|x|} \cdot x)? Differentiate: [ 1 = \sec y \tan y \cdot \frac{dy}{dx} ] [ \frac{dy}{dx} = \frac{1}{\sec y \tan y} ] We need to express this in terms of (x). From (x = \sec y), we have (\sec y = x). A cleaner approach: (\tan y = \frac{\sqrt{x^2 - 1}}{|x|} \cdot x) is messy Worth keeping that in mind..

The interplay of these derivations reveals the elegance underlying mathematical structures, offering tools essential for navigation through both abstract and applied domains. Mastery of such concepts fortifies comprehension and application, anchoring further exploration in precision and insight. Thus, their integration remains a cornerstone of mathematical proficiency.

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