4.2 MCQs-Ordinary & Partial Differentiation
Ordinary & Partial Differentiation MCQs
Basic Rules of Differentiation
1. The derivative of a function f(x) at a point x=a, denoted f′(a), is defined as:
f(a)
limh→0hf(a+h)−f(a)
hf(a+h)−f(a)
f(a+h)−f(a)
Show me the answer
Answer: 2. limh→0hf(a+h)−f(a)
Explanation:
This is the formal definition of the derivative as the limit of the difference quotient.
It represents the instantaneous rate of change of f at x=a, or the slope of the tangent line to the curve y=f(x) at that point.
If this limit exists, the function is said to be differentiable at x=a.
2. If f(x)=xn, where n is a constant, then f′(x) is:
nx
nxn−1
(n−1)xn
xn−1
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Answer: 2. nxn−1
Explanation:
This is the Power Rule, one of the most fundamental differentiation rules.
It applies to any real number exponent n.
Examples:
f(x)=x2⇒f′(x)=2x1=2x
f(x)=x=x1/2⇒f′(x)=21x−1/2=2x1
f(x)=1/x=x−1⇒f′(x)=−1⋅x−2=−1/x2
3. The derivative of a constant function f(x)=c is:
c
x
0
1
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Answer: 3. 0
Explanation:
The graph of a constant function is a horizontal line. The slope of a horizontal line is 0.
Formally, using the limit definition: f′(x)=limh→0hc−c=limh→00=0.
This aligns with the Power Rule: c=c⋅x0⇒dxd(c⋅x0)=c⋅0⋅x−1=0.
4. The derivative of f(x)=ex is:
xex−1
ex
lnx
0
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Answer: 2. ex
Explanation:
The exponential function f(x)=ex is unique because it is its own derivative: dxd(ex)=ex.
This property makes it extremely important in calculus, differential equations, and modeling growth/decay.
In contrast, for a general exponential: dxd(ax)=axlna.
5. The derivative of f(x)=lnx (for x>0) is:
ex
x1
x
lnx1
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Answer: 2. x1
Explanation:
The natural logarithm function has a simple derivative: dxd(lnx)=x1.
This result is derived using implicit differentiation or the definition of lnx as the inverse of ex.
For a general logarithm: dxd(logax)=xlna1.
Rules for Combinations of Functions
6. If f(x) and g(x) are differentiable functions, the derivative of their sum is given by:
f′(x)+g′(x)
f′(x)g′(x)
f(x)g′(x)+f′(x)g(x)
[g(x)]2f′(x)g(x)−f(x)g′(x)
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Answer: 1. f′(x)+g′(x)
Explanation:
This is the Sum Rule: dxd[f(x)+g(x)]=f′(x)+g′(x).
Similarly, the Difference Rule is: dxd[f(x)−g(x)]=f′(x)−g′(x).
Differentiation is a linear operation, meaning the derivative of a sum is the sum of the derivatives.
7. The Product Rule for differentiation states: dxd[f(x)g(x)]=
f′(x)g′(x)
f(x)g′(x)
f′(x)g(x)+f(x)g′(x)
f′(x)g(x)−f(x)g′(x)
Show me the answer
Answer: 3. f′(x)g(x)+f(x)g′(x)
Explanation:
The Product Rule is: (fg)′=f′g+fg′.
In words: The derivative of a product is "derivative of the first times the second, plus the first times the derivative of the second."
Order matters in the sense of which function is "first," but the rule is symmetric: (gf)′=g′f+gf′ gives the same result.
8. The Quotient Rule for g(x)f(x) (where g(x)=0) is:
g′(x)f′(x)
[g(x)]2f′(x)g(x)−f(x)g′(x)
[g(x)]2f(x)g′(x)−f′(x)g(x)
f′(x)g(x)−f(x)g′(x)
Show me the answer
Answer: 2. [g(x)]2f′(x)g(x)−f(x)g′(x)
Explanation:
The Quotient Rule formula is: (gf)′=g2f′g−fg′.
A common mnemonic is "Low d-High minus High d-Low, over the square of what's below."
Be careful with the order and the sign in the numerator. It is "derivative of the top times the bottom, minus the top times derivative of the bottom."
Chain Rule
9. The Chain Rule for the derivative of a composite function y=f(g(x)) is:
f′(g(x))
f′(x)⋅g′(x)
f′(g(x))⋅g′(x)
f(g′(x))
Show me the answer
Answer: 3. f′(g(x))⋅g′(x)
Explanation:
If y=f(u) and u=g(x), then dxdy=dudy⋅dxdu=f′(u)⋅g′(x)=f′(g(x))⋅g′(x).
In Leibniz notation, it looks intuitive: dxdy=dudydxdu.
Example: Find dxdsin(x2). Let u=x2, then dxdsin(u)=cos(u)⋅dxdu=cos(x2)⋅2x.
10. Using the Chain Rule, the derivative of y=(3x2+5)4 with respect to x is:
4(3x2+5)3
4(6x)3
4(3x2+5)3⋅6x
(3x2+5)3⋅6x
Show me the answer
Answer: 3. 4(3x2+5)3⋅6x
Explanation:
Identify the outer function: f(u)=u4, where u=3x2+5.
Outer derivative: f′(u)=4u3.
Inner derivative: dxdu=6x.
Apply Chain Rule: dxdy=f′(u)⋅dxdu=4(3x2+5)3⋅6x.
This simplifies to 24x(3x2+5)3.
Higher-Order Derivatives
11. The second derivative of a function f(x), denoted f′′(x) or dx2d2y, represents:
The slope of the tangent line
The rate of change of the function's derivative
The area under the curve
The y-intercept
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Answer: 2. The rate of change of the function's derivative
Explanation:
The first derivative f′(x) represents velocity (rate of change of position).
The second derivative f′′(x) represents acceleration (rate of change of velocity).
Geometrically, the second derivative tells us about the concavity of the graph of f.
If f′′(x)>0, the graph is concave up (like a cup).
If f′′(x)<0, the graph is concave down (like a cap).
Implicit Differentiation
12. Implicit differentiation is used when:
The function is given explicitly as y=f(x)
The relationship between x and y is given by an equation not solved for y
Finding the derivative of a constant function
Applying the Power Rule
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Answer: 2. The relationship between x and y is given by an equation not solved for y
Explanation:
In implicit differentiation, we differentiate both sides of an equation like x2+y2=25 with respect to x.
When differentiating a term involving y (like y2), we use the Chain Rule: dxd(y2)=2ydxdy.
We then solve the resulting equation for dxdy.
This technique is essential for finding derivatives of inverse functions and for curves defined implicitly.
13. Using implicit differentiation on x2+y2=25, the expression for dxdy is:
yx
−yx
xy
2x+2y
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Answer: 2. −yx
Explanation:
Differentiate both sides with respect to x: dxd(x2)+dxd(y2)=dxd(25)
Apply rules: 2x+2ydxdy=0
Solve for dxdy: 2ydxdy=−2x dxdy=−2y2x=−yx
Introduction to Partial Derivatives
14. For a function of two variables, z=f(x,y), the partial derivative ∂x∂f is found by:
Treating y as a constant and differentiating with respect to x
Treating x as a constant and differentiating with respect to y
Differentiating with respect to x and then y
Adding the derivatives with respect to x and y
Show me the answer
Answer: 1. Treating y as a constant and differentiating with respect to x
Explanation:
The partial derivative fx=∂x∂f measures the rate of change of f as x changes, while holding y fixed.
Geometrically, it gives the slope of the tangent line to the curve formed by intersecting the surface z=f(x,y) with a plane y=constant.
Similarly, fy=∂y∂f is found by treating x as a constant and differentiating with respect to y.
15. For f(x,y)=3x2y+xy3, the partial derivative fx is:
6xy+y3
3x2+3xy2
6xy+3xy2
6x+3y2
Show me the answer
Answer: 1. 6xy+y3
Explanation:
To find fx, treat y as a constant.
∂x∂(3x2y)=3y⋅dxd(x2)=3y⋅2x=6xy
∂x∂(xy3)=y3⋅dxd(x)=y3⋅1=y3
Therefore, fx=6xy+y3.
Note: fy=3x2+3xy2.
Higher-Order Partial Derivatives
16. For a function f(x,y), the mixed second-order partial derivative fxy means:
Differentiate twice with respect to x
Differentiate twice with respect to y
Differentiate first with respect to x, then with respect to y
Differentiate first with respect to y, then with respect to x
Show me the answer
Answer: 3. Differentiate first with respect to x, then with respect to y
Explanation:
Notation: fxy=∂y∂(∂x∂f)=∂y∂x∂2f.
The order of differentiation in the notation is from right to left: ∂y∂x∂2f means "first differentiate with respect to x, then differentiate the result with respect to y."
Under mild continuity conditions (Clairaut's Theorem), the mixed partials are equal: fxy=fyx.