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    Math Deficiency – II
    MD-002
    Progress0 / 32 topics
    Topics
    1. Complex Numbers2. Arithmetic with Complex Numbers (Add, subtract, multiply and divide complex numbers)3. Trigonometric Polar Form of Complex Numbers4. De Moivre's Theorem and nth Roots5. Recursion6. Sequences and Series7. Sigma Notation8. Arithmetic Series9. Geometric Series (Sum infinite and finite geometric series and categorize geometric series)10. Counting with Permutations and Combinations11. Basic Probability12. Binomial Theorem13. Limit: Notation, Graphs to Find Limits, Tables to Find Limits14. Substitution to Find Limits, Rationalization to Find Limits15. One Sided Limits and Continuity16. Rate of Change: Instantaneous Rate of Change17. Tangent Lines and Rates of Change18. Derivatives: The Derivative Function19. Introduction to Techniques of Differentiation20. The Product and Quotient Rules21. Derivatives of Trigonometric Functions22. The Chain Rule23. Derivatives of Logarithmic Functions24. Derivatives of Exponential and Inverse Trigonometric Functions25. Increase, Decrease, and Concavity26. Relative Extrema, Absolute Maxima and Minima27. Integrals: An Overview of the Area Problem28. Area Under a Curve29. The Indefinite Integral30. Integration by Substitution31. The Definition of Area as a Limit; Sigma Notation32. The Definite Integral
    MD-002›Derivatives of Exponential and Inverse Trigonometric Functions
    Math Deficiency – IITopic 24 of 32

    Derivatives of Exponential and Inverse Trigonometric Functions

    8 minread
    1,429words
    Intermediatelevel

    Derivatives of Exponential and Inverse Trigonometric Functions

    1. Derivatives of Exponential Functions

    a. Natural Exponential Function (𝑒ˣ)
    The derivative of exe^xex is unique because it is equal to itself:
    ddxex=ex\frac{d}{dx} e^x = e^xdxd​ex=ex

    b. General Exponential Functions (𝑎ˣ)
    For any base a>0a > 0a>0, the derivative incorporates a logarithmic correction factor:
    ddxax=axln⁡a\frac{d}{dx} a^x = a^x \ln adxd​ax=axlna
    Special case: If a=ea = ea=e, then ln⁡e=1\ln e = 1lne=1, reducing to the natural exponential case.

    c. Chain Rule Applications
    When the exponent is a function u(x)u(x)u(x):
    ddxeu(x)=eu(x)⋅u′(x)\frac{d}{dx} e^{u(x)} = e^{u(x)} \cdot u'(x)dxd​eu(x)=eu(x)⋅u′(x)
    ddxau(x)=au(x)ln⁡a⋅u′(x)\frac{d}{dx} a^{u(x)} = a^{u(x)} \ln a \cdot u'(x)dxd​au(x)=au(x)lna⋅u′(x)

    Example:
    ddxe3x2=e3x2⋅6x\frac{d}{dx} e^{3x^2} = e^{3x^2} \cdot 6xdxd​e3x2=e3x2⋅6x


    2. Derivatives of Inverse Trigonometric Functions

    Each inverse trig function has a distinct derivative formula, often involving square roots in the denominator.

    a. Arcsine (sin⁻¹𝑥)
    ddxsin⁡−1x=11−x2for ∣x∣<1\frac{d}{dx} \sin^{-1} x = \frac{1}{\sqrt{1 - x^2}} \quad \text{for } |x| < 1dxd​sin−1x=1−x2​1​for ∣x∣<1

    b. Arccosine (cos⁻¹𝑥)
    ddxcos⁡−1x=−11−x2for ∣x∣<1\frac{d}{dx} \cos^{-1} x = -\frac{1}{\sqrt{1 - x^2}} \quad \text{for } |x| < 1dxd​cos−1x=−1−x2​1​for ∣x∣<1

    c. Arctangent (tan⁻¹𝑥)
    ddxtan⁡−1x=11+x2for all real x\frac{d}{dx} \tan^{-1} x = \frac{1}{1 + x^2} \quad \text{for all real } xdxd​tan−1x=1+x21​for all real x

    d. Arcsecant (sec⁻¹𝑥)
    ddxsec⁡−1x=1∣x∣x2−1for ∣x∣>1\frac{d}{dx} \sec^{-1} x = \frac{1}{|x| \sqrt{x^2 - 1}} \quad \text{for } |x| > 1dxd​sec−1x=∣x∣x2−1​1​for ∣x∣>1

    e. Arccosecant (csc⁻¹𝑥)
    ddxcsc⁡−1x=−1∣x∣x2−1for ∣x∣>1\frac{d}{dx} \csc^{-1} x = -\frac{1}{|x| \sqrt{x^2 - 1}} \quad \text{for } |x| > 1dxd​csc−1x=−∣x∣x2−1​1​for ∣x∣>1

    f. Arccotangent (cot⁻¹𝑥)
    ddxcot⁡−1x=−11+x2for all real x\frac{d}{dx} \cot^{-1} x = -\frac{1}{1 + x^2} \quad \text{for all real } xdxd​cot−1x=−1+x21​for all real x


    3. Proof Techniques

    a. Exponential Derivatives

    • Use the limit definition of the derivative and properties of ehe^heh.
    • For axa^xax, rewrite as exln⁡ae^{x \ln a}exlna and apply the chain rule.

    b. Inverse Trig Derivatives

    • Implicit differentiation:
      Example for sin⁡−1x\sin^{-1} xsin−1x:
      Let y=sin⁡−1xy = \sin^{-1} xy=sin−1x. Then x=sin⁡yx = \sin yx=siny.
      Differentiate implicitly: 1=cos⁡y⋅dydx1 = \cos y \cdot \frac{dy}{dx}1=cosy⋅dxdy​.
      Solve for dydx\frac{dy}{dx}dxdy​, using cos⁡y=1−x2\cos y = \sqrt{1 - x^2}cosy=1−x2​.

    4. Common Mistakes to Avoid

    1. Chain Rule Errors: Forgetting to multiply by u′(x)u'(x)u′(x) in eu(x)e^{u(x)}eu(x) or sin⁡−1(u(x))\sin^{-1}(u(x))sin−1(u(x)).
      Incorrect: ddxe2x=e2x\frac{d}{dx} e^{2x} = e^{2x}dxd​e2x=e2x
      Correct: ddxe2x=2e2x\frac{d}{dx} e^{2x} = 2e^{2x}dxd​e2x=2e2x.

    2. Domain Restrictions:

      • ddxsin⁡−1x\frac{d}{dx} \sin^{-1} xdxd​sin−1x is undefined for ∣x∣≥1|x| \geq 1∣x∣≥1.
      • ddxsec⁡−1x\frac{d}{dx} \sec^{-1} xdxd​sec−1x requires ∣x∣>1|x| > 1∣x∣>1.
    3. Sign Errors:

      • Confusing cos⁡−1x\cos^{-1} xcos−1x and sin⁡−1x\sin^{-1} xsin−1x derivatives (negative sign).
      • Misapplying derivatives of cot⁡−1x\cot^{-1} xcot−1x vs. tan⁡−1x\tan^{-1} xtan−1x.

    5. Applications

    • Exponential Growth/Decay: Modeling populations or radioactive decay.
    • Physics: Wave equations involving eiωte^{i\omega t}eiωt (complex exponentials).
    • Engineering: Control systems with inverse trig functions (e.g., phase analysis).

    6. Practice Problems

    1. Compute ddx(ex3+tan⁡−1(5x))\frac{d}{dx} \left( e^{x^3} + \tan^{-1}(5x) \right)dxd​(ex3+tan−1(5x)).
      Solution: 3x2ex3+51+25x23x^2 e^{x^3} + \frac{5}{1 + 25x^2}3x2ex3+1+25x25​.

    2. Find ddxsec⁡−1(ex)\frac{d}{dx} \sec^{-1}(e^x)dxd​sec−1(ex).
      Solution: exexe2x−1=1e2x−1\frac{e^x}{e^x \sqrt{e^{2x} - 1}} = \frac{1}{\sqrt{e^{2x} - 1}}exe2x−1​ex​=e2x−1​1​.

    3. Differentiate y=2sin⁡xy = 2^{\sin x}y=2sinx.
      Solution: y′=2sin⁡xln⁡2⋅cos⁡xy' = 2^{\sin x} \ln 2 \cdot \cos xy′=2sinxln2⋅cosx.


    7. Key Takeaways

    • Exponentials: The derivative of exe^xex is itself; other bases require ln⁡a\ln alna.
    • Inverse Trig: Memorize the six derivative forms and their domains.
    • Chain Rule: Critical for composite functions (e.g., eu(x)e^{u(x)}eu(x), tan⁡−1(u(x))\tan^{-1}(u(x))tan−1(u(x))).

    Mastery of these derivatives is essential for calculus, differential equations, and advanced applied mathematics.

    Previous topic 23
    Derivatives of Logarithmic Functions
    Next topic 25
    Increase, Decrease, and Concavity

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