⌊ 1 0 × ∫ 2 e ln ( x ) 1 d x ⌋ = ?
Details and Assumptions :
This section requires Javascript.
You are seeing this because something didn't load right. We suggest you, (a) try
refreshing the page, (b) enabling javascript if it is disabled on your browser and,
finally, (c)
loading the
non-javascript version of this page
. We're sorry about the hassle.
You actually don't need to use the graph as a reference, a simple derivative shows that it is monotonically decreasing.
Or just use mean value theorem and second derivative test and calculate a trapezoid.
Edit: Looks like you don't even need a second derivative test.
Is there a wiki on the definition of an integral that you mentioned in your solution?
it's because you didn't appreciate x. Jake lai.
Disclaimer: I won't be going through my motivations, or it will be a really long solution. If you would like to know why I did what I did, comment and I will get back to you.
y = ln x 1 passes through ( 2 , ln 2 1 ) and ( e , 1 ) . The secant is of gradient e − 2 1 − ln 2 1 ≈ − 0 . 6 1 7 . By MVT, there exists some point with tangent parallel to the secant.
d x d ln x 1 = − 0 . 6 1 7 ⟶ x ln 2 x = 1 . 6 2 1
For x = 2 , x ln 2 x = 2 ( 0 . 6 9 3 ) 2 ≈ 0 . 9 6 0 . For x = e , x ln 2 x = e ( 1 ) 2 = 2 . 1 7 8 .
Since x ln 2 x is monotonically increasing, we choose a convenient x "halfway" between 2 and e : the geometric mean. Verifying, we see x ln 2 x = 2 e ( 2 ln 2 + 1 ) 2 ≈ 1 . 6 7 1 .
So ln 2 e 1 = ln 2 + 1 2 ≈ 1 . 1 8 1 and 2 ln 2 1 + 1 ≈ 1 . 2 2 2 . Hence, the midpoint is 2 1 . 1 8 1 + 1 . 2 2 2 = 1 . 2 0 1 5 . The line that passes through ( 2 e , 1 . 2 0 1 5 ) with gradient − 0 . 6 1 7 is y = − 0 . 6 1 7 x + 2 . 6 4 0 .
So the area is approximately
∫ 2 2 . 7 1 8 − 0 . 6 1 7 x + 2 . 6 4 0 d x ≈ 0 . 8 5 1
Quite accurate, considering WolframAlpha says it's 0 . 8 5 0 0 .
Its just 10Li(e) that is approximately 8,49.
I personally would use the trapezium rule with 8 strips from 2.0 to 2.7: A r e a ≈ 2 h ( y 0 + y n + 2 k = 1 ∑ n − 1 y k ) ⇒ A r e a ≈ 0 . 0 5 ( l n 2 1 + L n 2 . 7 1 + 2 ( l n 2 . 1 1 + . . . + L n 2 . 6 1 ) ) = 8 . 3 2 ( 3 s . f . ) From the graph it is clear that because the gradient is so shallow so the overestimate will be very small. ∴ ⌊ 1 0 × ∫ 2 e l n ( x ) 1 d x ⌋ = 8
My solution doesn't use the graph but yeah, good solution as well.
forgot to use condition below....lol.....
forgot to use condition below....lol.....
I calculate the upper bound the same way you did.
For the lower bound I make the substitution x = e z So the integral becomes ∫ 1 l n 2 z e z d z
Now in the region [ ln 2 , 1 ] z e z is decreasing function.
So 1 e ∫ l n 2 1 d z < ∫ l n 2 1 z e z d z < l n 2 e 2 ∫ l n 2 1 d z
⟹ ∫ l n 2 1 z e z d z > e ∫ l n 2 1 d z = e ( 1 − l n 2 ) = 0 . 8 3 4
Great! Thanks for the much shorter solution. :)
it's so hard.............lol...........
I've used just a basic form of definite integral to make this solve..
Simply substitute ln(x) as t
%$&(:77$&#:4-?+&+(+#-+44??5-4%!';'2%354::?%524- %$\$@8:7)-4#$(% :';%&$" 😠!
Problem Loading...
Note Loading...
Set Loading...
Let us first calculate an upper bound for the integral ∫ 2 e l n ( x ) 1 d x . The graph of f ( x ) = l n ( x ) 1 is already provided in the question as reference. Note that f(x) decreases from f ( 2 ) = l n ( 2 ) 1 ≈ 1 . 4 4 3 to f ( e ) = 1 in the region [ 2 , e ] . Since the value of ∫ 2 e l n ( x ) 1 d x is the area under the curve y = f ( x ) = l n ( x ) 1 in the region [ 2 , e ] , it must be intuitively less than the area of the trapezoid shown in the figure below.
Therefore, ∫ 2 e l n ( x ) 1 d x < 2 1 ( 1 . 4 4 3 + 1 ) ( 0 . 7 1 8 ) ≈ 0 . 8 7 7
Next, we move to the more involved task of calculating a lower bound for the integral ∫ 2 e l n ( x ) 1 d x . Using the definition of definite integral as a limit, we get
∫ a b f ( x ) d x = n → ∞ lim i = 1 ∑ n ( n b − a ) f ( a + n b − a i )
and,
∫ a b f ( x ) 1 d x = n → ∞ lim i = 1 ∑ n ( n b − a ) f ( a + n b − a i ) 1
Now, if f ( x ) takes only positive values in the region [ a , b ] , then we can use the AM-HM Inequality to write
n i = 1 ∑ n f ( a + n b − a i ) ≥ i = 1 ∑ n f ( a + n b − a i ) 1 n
⇒ ( n 1 i = 1 ∑ n f ( a + n b − a i ) ) ( n 1 i = 1 ∑ n f ( a + n b − a i ) 1 ) ≥ 1
⇒ ( n b − a i = 1 ∑ n f ( a + n b − a i ) ) ( n b − a i = 1 ∑ n f ( a + n b − a i ) 1 ) ≥ ( b − a ) 2
Therefore,
( n → ∞ lim i = 1 ∑ n ( n b − a ) f ( a + n b − a i ) )
× ( n → ∞ lim i = 1 ∑ n ( n b − a ) f ( a + n b − a i ) 1 ) ≥ ( b − a ) 2
⇒ ( ∫ a b f ( x ) d x ) × ( ∫ a b f ( x ) 1 d x ) ≥ ( b − a ) 2
Substituting f ( x ) = l n ( x ) , a = 2 and b = e , we get
( ∫ 2 e l n ( x ) d x ) × ( ∫ 2 e l n ( x ) 1 d x ) ≥ ( e − 2 ) 2 ≈ 0 . 5 1 5 5
Now, it is easy to calculate that ∫ 2 e l n ( x ) d x = 2 − 2 l n ( 2 ) ≈ 0 . 6 1 4
Therefore, ∫ 2 e l n ( x ) 1 d x ≥ ∫ 2 e l n ( x ) d x 0 . 5 1 5 5 = 0 . 6 1 4 0 . 5 1 5 5 ≈ 0 . 8 3 9 6
After all these calculations we get 0 . 8 3 9 6 ≤ ∫ 2 e l n ( x ) 1 d x < 0 . 8 7 7
⇒ 8 . 3 9 6 ≤ 1 0 × ∫ 2 e l n ( x ) 1 d x < 8 . 7 7
Therefore, [ 1 0 × ∫ 2 e l n ( x ) 1 d x ] = 8
NOTE:
For any function f ( x ) , if M and m are respectively the global maximum and global minimum of f ( x ) in the region [ a , b ] , then
m ( b − a ) ≤ ∫ a b f ( x ) d x ≤ M ( b − a )
In this case, f ( x ) = l n ( x ) 1 , a = 2 and b = e . It might be tempting to use the above inequality for this problem. Note that m = 1 and M ≈ 1 . 4 4 3 . So, we have
0 . 7 1 8 ≤ ∫ 2 e l n ( x ) 1 d x ≤ 1 . 0 3 6
This inequality is indeed true, but we need a much tighter bound to get the exact value of [ 1 0 × ∫ 2 e l n ( x ) 1 d x ] . The other 3 incorrect options in the question ( 7 , 9 and 1 0 ) are mentioned specifically keeping this in mind!
Please note that I have developed the idea & then designed the question myself. The lower bound could also have been derived using the Cauchy-Schwartz Inequality, but I found using the AM-HM Inequality very exciting! In case there are other possible solutions, please mention in the comments.