Math
Finding $\displaystyle \sup_{x \in [1,\infty)} x e^{-tx}$ when $t \ge 0$
Step-by-step mathematics solution: Finding $\displaystyle \sup_{x \in [1,\infty)} x e^{-tx}$ when $t \ge 0$
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1. What the problem is asking
For a fixed non‑negative parameter (t) we consider the function
[ f_t(x)=x\,e^{-t x}, \qquad x\in[1,\infty). ]
We have to determine the supremum (the least upper bound) of the set
[ {f_t(x):x\in[1,\infty)} ]
for each possible value of (t\ge 0).
In other words: “How large can the product (x e^{-t x}) become when we are allowed to choose any (x\ge 1)?”
2. Detailed solution
2.1 The case (t=0)
If (t=0) then
[ f_0(x)=x e^{0}=x . ]
On the interval ([1,\infty)) the function is just the identity, so it grows without bound:
[ \sup_{x\ge 1} f_0(x)=\sup_{x\ge 1} x =+\infty . ]
2.2 The case (t>0)
2.2.1 First derivative
[ f_t(x)=x e^{-t x}, \qquad t>0. ]
Differentiate (product rule):
[ f’_t(x)=e^{-t x}+x(-t)e^{-t x}=e^{-t x}(1-tx). ]
Because the exponential factor is never zero, the critical points are the solutions of
[ 1-tx=0\quad\Longrightarrow\quad x=\frac{1}{t}. ]
2.2.2 Where does the critical point lie?
Our domain is ([1,\infty)).
The point (x=\frac{1}{t}) belongs to this interval iff (\frac{1}{t}\ge 1), i.e. iff
[ 0<t\le 1 . ]
Thus we have two sub‑cases:
- (a) (0<t\le 1) – the critical point is inside the domain.
- (b) (t\ge 1) – the critical point is to the left of the domain; on ([1,\infty)) the derivative never changes sign.
2.2.3 Behaviour for large (x)
Regardless of (t>0),
[ \lim_{x\to\infty} x e^{-t x}=0 . ]
A quick proof with L’Hôpital:
[ \lim_{x\to\infty}\frac{x}{e^{t x}} =\lim_{x\to\infty}\frac{1}{t e^{t x}}=0 . ]
Hence the function cannot have its supremum at (+\infty).
2.2.4 Sub‑case (a): (0<t\le 1)
Here (x_0=1/t) belongs to the interval, and the derivative changes sign:
- For (1\le x<1/t), we have (1-tx>0) → (f’_t(x)>0) (increasing).
- For (x>1/t), we have (1-tx<0) → (f’_t(x)<0) (decreasing).
Thus (x_0) gives the global maximum on ([1,\infty)).
Its value is
[ f_t!\left(\frac{1}{t}\right)=\frac{1}{t}\,e^{-t\cdot\frac{1}{t}}= \frac{1}{t}\,e^{-1}= \frac{1}{t e}. ]
Because the limit at infinity is (0) and (f_t(1)=e^{-t}<\frac{1}{t e}) for (0<t\le1), the supremum equals this value:
[ \boxed{\displaystyle \sup_{x\ge 1} f_t(x)=\frac{1}{t e}\qquad (0<t\le 1)}. ]
2.2.5 Sub‑case (b): (t\ge 1)
Now (1/t\le 1), so the critical point is outside the domain.
For every (x\ge 1),
[ 1-tx\le 1-t\le 0\quad\Longrightarrow\quad f’_t(x)\le 0 . ]
Hence (f_t) is strictly decreasing on ([1,\infty)).
The largest value is therefore attained at the left endpoint (x=1):
[ f_t(1)=e^{-t}. ]
Since the limit at infinity is (0), we obtain
[ \boxed{\displaystyle \sup_{x\ge 1} f_t(x)=e^{-t}\qquad (t\ge 1)}. ]
2.2.6 Summary for (t>0)
Putting the two sub‑cases together,
[ \sup_{x\ge 1} x e^{-t x}= \begin{cases} \dfrac{1}{t e}, & 0<t\le 1,\[6pt] e^{-t}, & t\ge 1 . \end{cases} ]
Notice that the two formulas coincide at (t=1) because (\frac{1}{1e}=e^{-1}).
2.3 Final answer (all (t\ge 0))
[ \boxed{ \sup_{x\in[1,\infty)} x e^{-t x}= \begin{cases} +\infty, & t=0,\[6pt] \dfrac{1}{t e}, & 0<t\le 1,\[8pt] e^{-t}, & t\ge 1 . \end{cases}} ]
The supremum is actually a maximum in every case (it is attained at (x=\infty) when (t=0), at (x=1/t) when (0<t\le1), and at (x=1) when (t\ge1)).
3. Common mistakes
| Mistake | Why it’s wrong | How to avoid it |
|---|---|---|
| Ignoring the restriction (x\ge 1) when locating the critical point. | The derivative gives (x=1/t), but if (t>1) this point lies left of the interval, so it cannot be a candidate for the supremum. | After solving (f’(x)=0), always check whether the solution belongs to the given domain. |
| Assuming the supremum is always at the critical point. | When the critical point is outside the domain the function is monotone on the whole interval, and the extremum occurs at an endpoint. | Examine the sign of (f’(x)) on the interval; if it never changes sign, the extremum is at an endpoint. |
| Treating (\lim_{x\to\infty} x/e^{t x}) as “(\infty/\infty)” and stopping. | The indeterminate form must be resolved (e.g., by L’Hôpital’s rule) to see that the limit is actually (0). | Apply L’Hôpital (or compare growth rates: exponential dominates any polynomial) to compute the limit. |
| Missing the case (t=0). | For (t=0) the function reduces to (x), which is unbounded, so the supremum is (+\infty). | Separate the analysis into (t=0) and (t>0) right at the start. |
| Writing (\sup\lim) instead of (\sup). | “(\sup\lim)” is not a standard notation; we first take the supremum of the function values, not of a limit. | Use the correct notation: (\displaystyle \sup_{x\in[1,\infty)} f_t(x)). |
Keeping these points in mind will help you solve similar optimisation‑over‑unbounded‑interval problems without error.
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