Q.Show that the function given by f(x)=xlogx has maximum at x=e.
Concept understanding — Derivative Sign Analysis
Derivative Sign Analysis: What the Slope Tells You
Imagine walking along a hilly road — sometimes uphill, sometimes downhill, occasionally flat. The derivative at any point is simply the slope of the road under your feet at that instant.
Derivative sign analysis figures out where a function is increasing, where it is decreasing, and where it has flat spots (critical points) — all from the sign of its derivative.
The Intuition First
If f′(x) is positive, the function is increasing — the graph rises as you move right. If f′(x) is negative, it is decreasing. If f′(x)=0, there is a horizontal tangent — a potential peak, valley, or flat inflection.
The key: a single point tells you little; you look at intervals. If f′(x)>0 for all x in (a,b), the function is strictly increasing on that whole interval. Same logic for negative.
The analysis is local — it describes behaviour on intervals, not isolated points. A zero derivative at a single point doesn't guarantee a max or min; check the sign change across that point.
The Precise Statement
Let f be differentiable on an open interval I. Then:
- If f′(x)>0 for all x in I, then f is strictly increasing on I.
- If f′(x)<0 for all x in I, then f is strictly decreasing on I.
- If f′(x)=0 for all x in I, then f is constant on I.
Points where f′(x)=0 (or where f′ does not exist) are critical points — the candidates for local maxima and minima.
If f′(x)>0 on (a,b)⟹f increasing on (a,b)
If f′(x)<0 on (a,b)⟹f decreasing on (a,b)
How to Perform It (Step-by-Step)
- Find the derivative f′(x).
- Find critical points: solve f′(x)=0 and check where f′(x) is undefined (but f is defined).
- Plot these on a number line — they split the domain into intervals.
- Pick a test point inside each interval and evaluate f′; only the sign matters.
- Record the sign in each interval and interpret: + means increasing, – means decreasing.
A Concrete Example
Take f(x)=x3−3x.
Step 1: f′(x)=3x2−3=3(x−1)(x+1).
Step 2: Critical points: x=−1 and x=1.
Step 3: Intervals: (−∞,−1), (−1,1), (1,∞).
Step 4: Test points:
- x=−2: f′(−2)=3(4−1)=9>0.
- x=0: f′(0)=−3<0.
- x=2: f′(2)=9>0.
Step 5: So f increases on (−∞,−1), decreases on (−1,1), increases on (1,∞). Thus x=−1 is a local maximum (sign changes + to –), and x=1 is a local minimum (– to +).
A common mistake: assuming f′(x)=0 automatically means a max or min. Consider f(x)=x3 at x=0: the derivative is zero, but the function increases on both sides (no sign change). That's a saddle point, not an extremum.
Why This Matters for Exams
Derivative sign analysis is the backbone of finding intervals of increase/decrease, locating local maxima/minima (First Derivative Test), sketching graphs, and solving optimization problems.
Factor the derivative completely. Then the sign of f′(x) follows from the signs of its factors — you can often skip plugging in numbers by reasoning about factor signs on each interval.
Sign analysis of the first derivative to locate increasing/decreasing intervals and critical points is one of the most exam-relevant procedures in the NCERT Class 12 Application of Derivatives chapter, appearing in CBSE boards, JEE Main and as a warm-up for the First Derivative Test. Students searching 'derivative sign chart method' or 'increasing decreasing intervals using derivatives class 12 examples' will find this factor-and-test-point routine is exactly the standard step-by-step technique.
Concept: Derivative Sign Analysis — to find a maximum, we check where f′(x)=0 and verify the sign change of f′(x) from positive to negative.
Step 1: Differentiate f(x)=xlogx using the quotient rule:
f′(x)=x2(1/x)⋅x−logx⋅1=x21−logx.
Step 2: Set f′(x)=0. The denominator x2>0 for x>0, so:
1−logx=0⇒logx=1⇒x=e.
Step 3: Check the sign of f′(x) around x=e. For x<e (say x=1), logx<1, so 1−logx>0 → f′(x)>0. For x>e (say x=3), logx>1, so 1−logx<0 → f′(x)<0. Since f′(x) changes from positive to negative at x=e, the function has a local maximum there.
The function f(x)=xlogx has a maximum at x=e.
The function f(x)=xlogx attains its maximum at x=e because its derivative changes sign from positive to negative at that point — the classic test for a local maximum.
We want to show that f(x)=xlogx has a maximum at x=e. The natural approach is to use derivative sign analysis: find where f′(x)=0, then check whether the derivative changes from positive to negative at that point. That change tells us the function stops increasing and starts decreasing — the hallmark of a local maximum.
Why does this work? A function's derivative tells us its slope. If f′(x)>0, the function is rising; if f′(x)<0, it's falling. At a maximum, the function transitions from rising to falling, so the derivative must go from positive to zero to negative. The point where f′(x)=0 is a candidate; the sign change confirms it.
Let's work through it step by step.
- Find the derivative. f(x)=xlogx. Here logx is the natural logarithm (base e). Use the quotient rule:
f′(x)=x2(1/x)⋅x−logx⋅1=x21−logx.
The domain is x>0 because logx is defined only for positive x.
- Set the derivative to zero.
f′(x)=0⟹x21−logx=0⟹1−logx=0⟹logx=1.
Since loge=1, we get x=e. So x=e is the only critical point in the domain.
-
Analyze the sign of f′(x) around x=e.
The denominator x2 is always positive for x>0, so the sign of f′(x) depends entirely on the numerator 1−logx.
- For x<e (say x=2): log2≈0.693<1, so 1−logx>0. Hence f′(x)>0 — the function is increasing.
- For x>e (say x=3): log3≈1.099>1, so 1−logx<0. Hence f′(x)<0 — the function is decreasing.
So f′(x) changes from positive to negative at x=e.
A common mistake is to forget that logx here means natural log, not log base 10. In calculus and most exam contexts, logx denotes lnx. Using base 10 would give a different critical point — but the problem intends natural log, as e is the result.
- Conclude the nature of the critical point. Since f′(x)>0 for x<e and f′(x)<0 for x>e, the function increases up to x=e and then decreases after. Therefore, x=e is a point of local maximum.
You can also check the second derivative: f′′(e)=−e31<0, confirming a maximum. But the sign change of the first derivative is more intuitive and sufficient.
The function f(x)=xlogx has a maximum at x=e.
Method: Locating and Classifying a Critical Point with the First-Derivative Sign Test
This method proves that a specific point is a maximum (or minimum) of a function by tracking how the sign of the derivative changes around it — rather than relying only on the second derivative.
Steps
Step 1: Differentiate the function using the appropriate rule
For a quotient like f(x)=xlogx, apply the quotient rule carefully:
f′(x)=x2x1⋅x−logx⋅1=x21−logx
Step 2: Set the derivative to zero and solve within the function's domain
Since the denominator x2 is never zero for x in the domain, focus on the numerator:
1−logx=0⟹logx=1⟹x=e
Step 3: Determine the sign of f′(x) just below and just above the critical point
Because the denominator x2 is always positive on the domain, the sign of f′(x) is decided entirely by the numerator 1−logx. Pick a test value less than the critical point and one greater, and check whether the numerator is positive or negative at each.
Step 4: Read off the conclusion from the sign change
- Sign changes from positive to negative as x increases through the critical point ⟹ local maximum there.
- Sign changes from negative to positive ⟹ local minimum.
- No sign change ⟹ not an extremum at all (just a flat inflection).
Step 5: State the conclusion explicitly, matching what was asked
If the question asks you to show a maximum exists at a given point, explicitly state both the sign of f′ on each side and the resulting conclusion — a bare "f′(x)=0 at x=e" on its own does not prove a maximum.
Common Mistakes
Mistake 1: A quotient-rule sign error
Writing f′(x)=x21+logx instead of the correct x21−logx (dropping the minus sign that comes from differentiating logx in the numerator) is a very common slip, and it shifts the critical point to the wrong location entirely.
Mistake 2: Concluding "maximum" just because f′(x)=0
A zero derivative only identifies a candidate critical point — it does not by itself prove a maximum. Without explicitly checking that f′(x) changes from positive to negative around x=e (or checking f′′(e)<0), the claim "f has a maximum at x=e" is asserted, not shown, which is exactly what the question asks you to demonstrate.
Mistake 3: Confusing logx with base-10 logarithm
In this NCERT/CBSE calculus context, logx denotes the natural logarithm (lnx), which is why the critical point lands exactly on x=e. Treating it as log10x would shift the critical point to x=10log10e — a different, and here incorrect, value.
- TG EAPCET 2021Set eng-2021-08-05-AN1 markMCQQ.Let R∗=R−{(2k−1)2π∣k∈I}. The function f:R∗→R is defined as f(x)=tanx−x, then f(x) is (A) an increasing function (B) a decreasing function (C) minimum at x=0 (D) periodic function
›Reveal solutionSolution
The function f(x)=tanx−x is increasing on each interval of its domain, because its derivative f′(x)=sec2x−1=tan2x≥0 and is zero only at isolated points. The correct option is (A).
The key to this problem is to examine monotonicity — whether a function is increasing or decreasing — by looking at its derivative. For a function to be increasing on an interval, its derivative must be non-negative (and not identically zero on any subinterval). For it to be decreasing, the derivative must be non-positive. The domain here is all real numbers except odd multiples of 2π, where tanx blows up.
Let’s work through it step by step.
- Find the derivative. We have f(x)=tanx−x. The derivative is
f′(x)=sec2x−1.
Using the identity sec2x=1+tan2x, this simplifies to
f′(x)=tan2x.
-
Analyze the sign of f′(x).
Since tan2x≥0 for every x in the domain (a square is never negative), we have f′(x)≥0 everywhere. The derivative is zero exactly when tanx=0, i.e., at x=nπ for integers n. These are isolated points — not whole intervals.
-
What does this tell us about monotonicity?
A function whose derivative is non-negative and zero only at isolated points is strictly increasing on each interval of its domain. Here, the domain R∗ is broken into intervals between consecutive vertical asymptotes:
…,(−23π,−2π),(−2π,2π),(2π,23π),…
On each such interval, f′(x)≥0 and f′(x)=0 only at the single point x=0 (in the middle interval) or at other isolated nπ values. So f is increasing on each interval.
Watch outA common mistake is to think that because f′(0)=0, the function has a minimum at x=0. But f′(x)=tan2x does not change sign around 0 — it stays non-negative — so x=0 is a point of inflection, not an extremum. Also, f is not periodic because tanx is periodic but subtracting x breaks periodicity.
- Check the options.
- (A) "an increasing function" — true on each interval of the domain.
- (B) "a decreasing function" — false, since derivative is never negative.
- (C) "minimum at x=0" — false; f(0)=0, but nearby values are larger (since f is increasing through 0), so it's not a minimum — actually f is increasing, so 0 is not an extremum.
- (D) "periodic function" — false; f(x+π)=tan(x+π)−(x+π)=tanx−x−π=f(x)−π, not equal to f(x).
✓Final answerThe correct option is (A).
- TG EAPCET 2022Set eng-2022-07-18-FN1 markMCQQ.Let a function f(x) be continuous in an interval [a,b]. Let δ>0 be a very small real number. Let c∈(a,b) be such that f(c−δ)<f(c) and f(c+δ)<f(c) for every δ>0. Let (f(α−δ)−f(α))(f(α+δ)−f(α))<0 ∀α∈(a,b) and α=c. Then (A) f(x) has a local maximum at c and a local minimum at α (B) f(x) has a local maximum at α and a local minimum at c (C) f(x) has only one local maximum at c (D) f(x) has only one local minimum at c
›Reveal solutionSolution
The conditions describe a function that is strictly higher at c than at any nearby point, and for every other point α the function values on either side straddle f(α) — meaning c is the only local extremum, a maximum. The correct option is (C).
The key idea is to interpret the two given inequalities as precise local behavior tests.
- The first condition says: for every tiny δ>0, we have f(c−δ)<f(c) and f(c+δ)<f(c). That is exactly the definition of a strict local maximum at x=c.
- The second condition says: for every α=c and every δ>0, the product (f(α−δ)−f(α))(f(α+δ)−f(α)) is negative. That means one of the two differences is positive and the other negative — so f(α) is strictly between the values on its left and right for any tiny interval. That is the hallmark of a point that is not a local extremum (it is a point of "strict crossing" or monotonic behavior locally).
Thus the only point where the function can have a local extremum is c, and it is a maximum.
-
Interpret the condition at c
For every δ>0, f(c−δ)<f(c) and f(c+δ)<f(c).
This means that in any sufficiently small neighborhood around c, the value at c is strictly larger than all other values. That is the definition of a strict local maximum at c. No other point can satisfy this because the condition is required to hold for every δ>0, not just small enough ones — but even for arbitrarily small δ, it forces c to be a peak.
-
Interpret the condition at any α=c
For every α∈(a,b) with α=c, and for every δ>0, we have
(f(α−δ)−f(α))(f(α+δ)−f(α))<0.
A product is negative exactly when one factor is positive and the other negative.
So for every tiny δ, either:
- f(α−δ)>f(α) and f(α+δ)<f(α), or
- f(α−δ)<f(α) and f(α+δ)>f(α).
In either case, f(α) is not the largest or smallest in any neighborhood — it is strictly between the left and right values. Hence α cannot be a local maximum or a local minimum.
-
Why “for every δ>0” is important
If a point were a local minimum, then for sufficiently small δ we would have f(α−δ)>f(α) and f(α+δ)>f(α), making the product positive. The condition says the product is always negative, so no such δ exists — thus no local minimum anywhere except possibly at c. But at c the product condition is not required (since α=c), so c is exempt.
-
Conclusion about extrema
- c is a strict local maximum.
- No other point can be a local maximum or minimum. Therefore the function has only one local extremum, and that is a maximum at c.
Watch outA common mistake is to think that the second condition might allow a local minimum at some α if the signs flip differently. But the product being negative for every δ forces the function to cross through f(α) from both sides — that is exactly the opposite of an extremum.
TipThink of the second condition as saying: at any α=c, the function is strictly monotonic in some small interval around α (though not necessarily globally). The only place where monotonicity breaks is at c, giving a peak.
✓Final answerThe correct option is (C).
ANSWER: C
- TG EAPCET 2026Set eng-2026-05-10-AN1 markMCQQ.The number of real roots of the equation e3x−2e2x−ex+2=0 is (A) 0 (B) 1 (C) 2 (D) 3
›Reveal solutionSolution
The equation simplifies to a quadratic in ex after factoring, giving two positive solutions for ex, each yielding one real x; thus there are exactly two real roots.
We start with the equation
e3x−2e2x−ex+2=0.
The key insight is to treat ex as a single variable, say t=ex, where t>0 because the exponential function is always positive. This transforms the equation into a polynomial in t, which is easier to factor and solve. Once we find positive t values, each corresponds to exactly one real x=logt.
- Substitute t=ex: The equation becomes
t3−2t2−t+2=0.
- Factor the cubic: Group terms:
(t3−2t2)−(t−2)=t2(t−2)−1(t−2)=(t−2)(t2−1).
So
(t−2)(t−1)(t+1)=0.
-
Find possible t values:
The roots are t=2, t=1, and t=−1.
Since t=ex>0, we discard t=−1.
-
Convert back to x:
- For t=1: ex=1⇒x=0.
- For t=2: ex=2⇒x=log2.
Both are real numbers.
Watch outA common mistake is to count the cubic’s three roots as three solutions for x, forgetting that t=−1 is invalid because ex is never negative.
Thus the original equation has exactly two real roots.
✓Final answerThe correct option is (C).
ANSWER: C
- TG EAPCET 2022Set eng-2022-07-18-FN1 markMCQQ.If the extreme value of 3x−2x2+1 is k then the set of all real values of x for which kx2+2x+1>0 is (A) (21,1) (B) (−∞,21)∪(1,∞) (C) (−∞,∞) (D) (−∞,817)
›Reveal solutionSolution
The extreme value of the quadratic 3x−2x2+1 is its maximum k=817, and substituting this k into kx2+2x+1>0 yields a quadratic with a negative discriminant and positive leading coefficient, so the inequality holds for all real x; the answer is (−∞,∞).
Concept & Intuition
We first find the extreme value of 3x−2x2+1. Since it’s a quadratic with a negative coefficient on x2, it opens downward, so its extreme is a maximum at the vertex. That maximum value becomes k. Then we plug k into the second quadratic inequality kx2+2x+1>0. The sign of k and the discriminant will tell us whether this quadratic is always positive, never positive, or positive only on an interval.
Step-by-step solution
- Find the extreme value of f(x)=3x−2x2+1 Rewrite in standard form: f(x)=−2x2+3x+1. For a quadratic ax2+bx+c, the vertex (where the extreme occurs) is at x=−2ab. Here a=−2, b=3, so
x=−2(−2)3=43.
The extreme value is
f(43)=−2(43)2+3(43)+1=−2⋅169+49+1=−1618+1636+1616=1634=817.
Since the parabola opens downward, this is the maximum value. Hence k=817.
- Substitute k into the inequality We need to solve
817x2+2x+1>0.
Multiply through by 8 (positive, so inequality direction unchanged):
17x2+16x+8>0.
- Analyze the quadratic 17x2+16x+8
- Leading coefficient 17>0 → parabola opens upward.
- Compute discriminant:
Δ=162−4⋅17⋅8=256−544=−288.
Since $\Delta < 0$, the quadratic has **no real roots** and is always positive (because it opens upward and never touches the x-axis).4. Conclusion for the inequality
17x2+16x+8>0 holds for all real x. Therefore the solution set is (−∞,∞).
Watch outA common mistake is to forget that k is the maximum value, not the minimum. Since the quadratic opens downward, the extreme is a maximum, and that value is positive. If you mistakenly took the minimum (which doesn’t exist for a downward parabola), you’d get a different k and possibly a wrong inequality.
TipOnce you find k=817, notice it’s positive. For a quadratic ax2+bx+c with a>0 and Δ<0, the expression is always positive — no need to factor or test intervals.
✓Final answerThe correct option is (C).
ANSWER: C
- TG EAPCET 2021Set eng-2021-08-05-AN1 markMCQQ.f(x)=ax2−bx−a is a quadratic expression. If K is the least real number such that f(x)≤K ∀x∈R, then (A) K=0 (B) K<−2 (C) K>0 (D) −1<K<0
›Reveal solutionSolution
The quadratic opens downward only if a<0, and its maximum value is K=−4ab2+4a2. Since a<0, this expression is always positive, so K>0. The correct option is (C).
The key idea here is that a quadratic expression f(x)=ax2−bx−a can have a maximum (and therefore a least upper bound K) only if it opens downward — that is, if a<0. If a>0, the parabola opens upward and f(x)→∞, so no such finite K exists. The problem implicitly assumes a is such that K exists, so we must have a<0.
The maximum value of a quadratic px2+qx+r (with p<0) occurs at x=−2pq, and that maximum is −4pD, where D=q2−4pr is the discriminant. Here p=a, q=−b, r=−a.
Let’s work through it.
-
Identify the coefficients.
f(x)=ax2−bx−a gives p=a, q=−b, r=−a.
-
Find the vertex (point of maximum).
The x-coordinate of the vertex is x=−2pq=−2a(−b)=2ab.
-
Compute the maximum value K.
Substitute x=2ab into f(x):
f(2ab)=a(2ab)2−b(2ab)−a=a⋅4a2b2−2ab2−a=4ab2−2ab2−a=−4ab2−a.
So
K=−4ab2−a.
- Rewrite K in a more revealing form. Combine the terms over a common denominator 4a:
K=−4ab2−a=−4ab2+4a2.
Since a<0, the denominator 4a is negative. The numerator b2+4a2 is always positive (sum of squares, zero only if a=b=0, but then f(x)=0 and K=0, which is a degenerate case — but even then K=0 is not less than zero). For a<0, −negativepositive=positive. Hence K>0.
Watch outA common mistake is to forget that a must be negative for a maximum to exist. If you blindly compute the vertex without checking the sign of a, you might get a negative K for some a>0, but that K would be a minimum, not a maximum — and the condition f(x)≤K for all x would be false.
- Check the degenerate case a=0. If a=0, f(x)=−bx, which is linear. For b=0, it is unbounded both ways, so no finite K exists. For b=0, f(x)=0, so K=0 works. But the problem says f(x) is a quadratic expression, so a=0. Thus a<0 is forced.
Therefore, K is always positive.
✓Final answerThe correct option is (C), since K>0.
-
- TG EAPCET 2021Set eng-2021-08-05-FN1 markMCQQ.If α+3x2+2−αy2=1 represents a hyperbola, then α lies in (A) (−3,2) (B) (−3,∞) (C) (−∞,−2) (D) (−∞,−3)∪(2,∞)
›Reveal solutionSolution
For the given equation to represent a hyperbola, the denominators of the x2 and y2 terms must have opposite signs. This leads to the condition (α+3)(2−α)<0, which simplifies to (α+3)(α−2)>0, yielding α∈(−∞,−3)∪(2,∞).
The equation of a conic section is given as α+3x2+2−αy2=1. We need to determine the range of α for which this equation represents a hyperbola.
Concept and Intuition
The standard form of a hyperbola centered at the origin is either a2x2−b2y2=1 or b2y2−a2x2=1.
In both cases, one of the squared terms (x2 or y2) has a positive coefficient, and the other has a negative coefficient. This means that the denominators under x2 and y2 must have opposite signs.
If the denominators had the same sign:
- If both were positive, it would be an ellipse (or a circle if they were equal).
- If both were negative, the sum of two non-positive terms would be 1, which is impossible for real x,y.
Therefore, for the given equation to represent a hyperbola, the expressions (α+3) and (2−α) must have opposite signs.
Step-by-Step Solution
-
Identify the denominators:
The given equation is α+3x2+2−αy2=1.
The denominators are A=α+3 and B=2−α.
-
Apply the hyperbola condition:
For the equation to represent a hyperbola, the denominators A and B must have opposite signs. This means their product must be negative.
For Ax2+By2=1 to be a hyperbola, AB<0.
So, we must have (α+3)(2−α)<0.
-
Solve the inequality:
We have the inequality (α+3)(2−α)<0.
To make the leading coefficient of α positive in both factors, we can multiply the second factor (2−α) by −1 and reverse the inequality sign:
(α+3)(−1)(α−2)<0
−(α+3)(α−2)<0
Multiplying by −1 and reversing the inequality sign again:
(α+3)(α−2)>0
-
Find the critical points and intervals:
The critical points where the expression (α+3)(α−2) equals zero are α=−3 and α=2.
These points divide the number line into three intervals: (−∞,−3), (−3,2), and (2,∞).
We test a value of α from each interval:
- Interval 1: α<−3 (e.g., α=−4) (α+3)(α−2)=(−4+3)(−4−2)=(−1)(−6)=6. Since 6>0, this interval satisfies the inequality.
- Interval 2: −3<α<2 (e.g., α=0) (α+3)(α−2)=(0+3)(0−2)=(3)(−2)=−6. Since −6<0, this interval does not satisfy the inequality.
- Interval 3: α>2 (e.g., α=3) (α+3)(α−2)=(3+3)(3−2)=(6)(1)=6. Since 6>0, this interval satisfies the inequality.
Thus, the values of α for which (α+3)(α−2)>0 are α<−3 or α>2.
-
Express the solution in interval notation:
The solution is α∈(−∞,−3)∪(2,∞).
Watch outIt is crucial that the denominators α+3 and 2−α are non-zero. If α+3=0 or 2−α=0, the equation would be undefined or degenerate. Our strict inequality (α+3)(2−α)<0 already ensures that α=−3 and α=2, so these cases are naturally excluded.
The range of α for which the given equation represents a hyperbola is (−∞,−3)∪(2,∞). This corresponds to option (D).
✓Final answerThe value of α lies in (−∞,−3)∪(2,∞).
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