The idea behind the sum of powers of 2
I know that the sum of power of $2$ is $2^{n+1}-1$, and I know the mathematical induction proof. But does anyone know how $2^{n+1}-1$ comes up in the first place.
For example, sum of n numbers is $frac{n(n+1)}{2}$. The idea is that we replicate the set and put it in a rectangle, hence we can do the trick. What is the logic behind the sum of power of $2$ formula?
summation power-series
add a comment |
I know that the sum of power of $2$ is $2^{n+1}-1$, and I know the mathematical induction proof. But does anyone know how $2^{n+1}-1$ comes up in the first place.
For example, sum of n numbers is $frac{n(n+1)}{2}$. The idea is that we replicate the set and put it in a rectangle, hence we can do the trick. What is the logic behind the sum of power of $2$ formula?
summation power-series
2
This addition of powers of two, and many other examples, are all geometric series. There's a lot of visualisations of this out there.
– Parcly Taxel
Oct 29 '16 at 10:58
1
Write the numbers in base 2: The powers of $2$ starting from $1=2^0$ will be in binary, $1+10+100+1000$ will always be a number that will be a n with all binary digits 1. This is the largest number having that many digits. SO it is of the form $2^{n+1}-1$
– P Vanchinathan
Oct 29 '16 at 11:01
I think there's a counting/probabilistic way to approach this something about having $n$ binary choices
– BCLC
Oct 31 '16 at 11:17
add a comment |
I know that the sum of power of $2$ is $2^{n+1}-1$, and I know the mathematical induction proof. But does anyone know how $2^{n+1}-1$ comes up in the first place.
For example, sum of n numbers is $frac{n(n+1)}{2}$. The idea is that we replicate the set and put it in a rectangle, hence we can do the trick. What is the logic behind the sum of power of $2$ formula?
summation power-series
I know that the sum of power of $2$ is $2^{n+1}-1$, and I know the mathematical induction proof. But does anyone know how $2^{n+1}-1$ comes up in the first place.
For example, sum of n numbers is $frac{n(n+1)}{2}$. The idea is that we replicate the set and put it in a rectangle, hence we can do the trick. What is the logic behind the sum of power of $2$ formula?
summation power-series
summation power-series
edited Oct 29 '16 at 11:05
Parcly Taxel
41.2k137199
41.2k137199
asked Oct 29 '16 at 10:56
xcoder
153116
153116
2
This addition of powers of two, and many other examples, are all geometric series. There's a lot of visualisations of this out there.
– Parcly Taxel
Oct 29 '16 at 10:58
1
Write the numbers in base 2: The powers of $2$ starting from $1=2^0$ will be in binary, $1+10+100+1000$ will always be a number that will be a n with all binary digits 1. This is the largest number having that many digits. SO it is of the form $2^{n+1}-1$
– P Vanchinathan
Oct 29 '16 at 11:01
I think there's a counting/probabilistic way to approach this something about having $n$ binary choices
– BCLC
Oct 31 '16 at 11:17
add a comment |
2
This addition of powers of two, and many other examples, are all geometric series. There's a lot of visualisations of this out there.
– Parcly Taxel
Oct 29 '16 at 10:58
1
Write the numbers in base 2: The powers of $2$ starting from $1=2^0$ will be in binary, $1+10+100+1000$ will always be a number that will be a n with all binary digits 1. This is the largest number having that many digits. SO it is of the form $2^{n+1}-1$
– P Vanchinathan
Oct 29 '16 at 11:01
I think there's a counting/probabilistic way to approach this something about having $n$ binary choices
– BCLC
Oct 31 '16 at 11:17
2
2
This addition of powers of two, and many other examples, are all geometric series. There's a lot of visualisations of this out there.
– Parcly Taxel
Oct 29 '16 at 10:58
This addition of powers of two, and many other examples, are all geometric series. There's a lot of visualisations of this out there.
– Parcly Taxel
Oct 29 '16 at 10:58
1
1
Write the numbers in base 2: The powers of $2$ starting from $1=2^0$ will be in binary, $1+10+100+1000$ will always be a number that will be a n with all binary digits 1. This is the largest number having that many digits. SO it is of the form $2^{n+1}-1$
– P Vanchinathan
Oct 29 '16 at 11:01
Write the numbers in base 2: The powers of $2$ starting from $1=2^0$ will be in binary, $1+10+100+1000$ will always be a number that will be a n with all binary digits 1. This is the largest number having that many digits. SO it is of the form $2^{n+1}-1$
– P Vanchinathan
Oct 29 '16 at 11:01
I think there's a counting/probabilistic way to approach this something about having $n$ binary choices
– BCLC
Oct 31 '16 at 11:17
I think there's a counting/probabilistic way to approach this something about having $n$ binary choices
– BCLC
Oct 31 '16 at 11:17
add a comment |
5 Answers
5
active
oldest
votes
The binary expansion of $sum_{k=0}^n2^k$ is a string of $n+1$ 1's:
$$underbrace{111dots111}_{n+1}$$
If I add a 1 to this number, what do I get?
$$1underbrace{000dots000}_{n+1}$$
1 followed by $n+1$ 0's, hence $2^{n+1}$. Therefore
$$sum_{k=0}^n2^k=2^{n+1}-1$$
add a comment |
This works for any partial sum of geometric series.
Let $S = 1 + x + x^2+ldots +x^n$. Then $xS = x + x^2 + ldots +x^n + x^{n+1} = S - 1 + x^{n+1}$.
All you have to do now is solve for $S$ (assuming $xneq 1$).
Yes, but the OP said that he already knew this. What he is asking for is a visual representation of the proof.
– Alex M.
Oct 29 '16 at 11:01
Actually, they said that they knew proof by induction, but didn't know how one would come up with the formula in the first place. At least that is how I understood the question. @AlexM.
– Ennar
Oct 29 '16 at 11:02
add a comment |
There is a geometrical explanation.
Take a box long enough to put twice the amount of items equal to the last term of the sum, and try to pack it.
Let's take a box of length $2 * 2^n$.
Let's put the items from the first term ($2^n$) into the box. Now exactly one half of the space is left for the other terms, from $2^{n-1}$ down to $1$, so we repeat this process, starting from the next largest term.
As we put the items from each term, we notice that they take exactly one half of the empty space left in the box, because both the largest term left and the space left decreases in half on each step.
At some point we reach the first term, which is equal to 1, and there are two empty places left in the box for just one item, so after we put the last item into the box, there is still space for one more item.
The length of the box is $2*2^n = 2^{n+1}$, but it could be shorter by one, which is $2^{n+1} - 1$, and this is our formula.
For example, let's pack: $$sum_{i=0}^3 2^i$$
Box length: $$2 * 2^3 = 16$$
2^3 |* * * * * * * *| |
2^2 |* * * * * * * *|* * * *| |
2^1 |* * * * * * * *|* * * *|* *| |
2^0 |* * * * * * * *|* * * *|* *|*| |
It could be shorter by one:
$$2^{3+1}-1 = 15$$
By the way, similar geometrical explanation can be used for the ever decreasing geometric progression $sum_{i=0}^infty 2^{-i}$ with the only difference that we do not need to account for the last piece of empty space, because it tends to 0. Instead, we take some continuous medium as an example, such as a ribbon or a thread, which can be divided virtually infinitely so it sums to exactly a length of 2 units.
2
+1 Nice answer. To make it even nicer, edit to reformat with mathjax: math.meta.stackexchange.com/questions/5020/…
– Ethan Bolker
Nov 24 at 23:27
add a comment |
There is a combinatorial interpretation. Consider the collection of all binary sequences of length $n+1$ with at least one $1$ (call this set $E$). There are $$2^{n+1}-1$$ such sequences. Now let $E_j$ be the set of binary sequences of length $n+1$ such that the first $1$ is in the $j$ th component for $j=1,dotsc, n+1$. Then $|E_j|=2^{n+1-j}$. Then the $(E_j)$ partition $E$ and we have that
$$
1+2+2^2+dotsb+2^n=sum_{j=1}^{n+1}2^{n+1-j}=2^{n+1}-1.
$$
Alternatively
$$
sum_{k=0}^n 2^{k}=sum_{k=0}^n (2^{k+1}-2^k)=2^{n+1}-1.
$$
add a comment |
Another geometric interpretation.
Start with a line segment, AB. Extend this into a line. Use compassto mark off a point C by setting center at B and passing radius through A. Then lengths, AB=BC. Create point D in a similar way. We have thus constructed a length double that of the original line segment.
This doubling can continue AS MUCH S you like.
Now ignore the first line segment, AB.
The series of segments now starts with BD which has double the length of AB.
In general the nth segment in the first case is the n-1th segment upon removal of AB. Further, each is double the length of its corresponding section.
So By subtracting a part we've doubled what remains, but with fewer sections to account for.
This gives the formula.
add a comment |
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5 Answers
5
active
oldest
votes
5 Answers
5
active
oldest
votes
active
oldest
votes
active
oldest
votes
The binary expansion of $sum_{k=0}^n2^k$ is a string of $n+1$ 1's:
$$underbrace{111dots111}_{n+1}$$
If I add a 1 to this number, what do I get?
$$1underbrace{000dots000}_{n+1}$$
1 followed by $n+1$ 0's, hence $2^{n+1}$. Therefore
$$sum_{k=0}^n2^k=2^{n+1}-1$$
add a comment |
The binary expansion of $sum_{k=0}^n2^k$ is a string of $n+1$ 1's:
$$underbrace{111dots111}_{n+1}$$
If I add a 1 to this number, what do I get?
$$1underbrace{000dots000}_{n+1}$$
1 followed by $n+1$ 0's, hence $2^{n+1}$. Therefore
$$sum_{k=0}^n2^k=2^{n+1}-1$$
add a comment |
The binary expansion of $sum_{k=0}^n2^k$ is a string of $n+1$ 1's:
$$underbrace{111dots111}_{n+1}$$
If I add a 1 to this number, what do I get?
$$1underbrace{000dots000}_{n+1}$$
1 followed by $n+1$ 0's, hence $2^{n+1}$. Therefore
$$sum_{k=0}^n2^k=2^{n+1}-1$$
The binary expansion of $sum_{k=0}^n2^k$ is a string of $n+1$ 1's:
$$underbrace{111dots111}_{n+1}$$
If I add a 1 to this number, what do I get?
$$1underbrace{000dots000}_{n+1}$$
1 followed by $n+1$ 0's, hence $2^{n+1}$. Therefore
$$sum_{k=0}^n2^k=2^{n+1}-1$$
edited Oct 31 '16 at 10:20
answered Oct 29 '16 at 11:05
Parcly Taxel
41.2k137199
41.2k137199
add a comment |
add a comment |
This works for any partial sum of geometric series.
Let $S = 1 + x + x^2+ldots +x^n$. Then $xS = x + x^2 + ldots +x^n + x^{n+1} = S - 1 + x^{n+1}$.
All you have to do now is solve for $S$ (assuming $xneq 1$).
Yes, but the OP said that he already knew this. What he is asking for is a visual representation of the proof.
– Alex M.
Oct 29 '16 at 11:01
Actually, they said that they knew proof by induction, but didn't know how one would come up with the formula in the first place. At least that is how I understood the question. @AlexM.
– Ennar
Oct 29 '16 at 11:02
add a comment |
This works for any partial sum of geometric series.
Let $S = 1 + x + x^2+ldots +x^n$. Then $xS = x + x^2 + ldots +x^n + x^{n+1} = S - 1 + x^{n+1}$.
All you have to do now is solve for $S$ (assuming $xneq 1$).
Yes, but the OP said that he already knew this. What he is asking for is a visual representation of the proof.
– Alex M.
Oct 29 '16 at 11:01
Actually, they said that they knew proof by induction, but didn't know how one would come up with the formula in the first place. At least that is how I understood the question. @AlexM.
– Ennar
Oct 29 '16 at 11:02
add a comment |
This works for any partial sum of geometric series.
Let $S = 1 + x + x^2+ldots +x^n$. Then $xS = x + x^2 + ldots +x^n + x^{n+1} = S - 1 + x^{n+1}$.
All you have to do now is solve for $S$ (assuming $xneq 1$).
This works for any partial sum of geometric series.
Let $S = 1 + x + x^2+ldots +x^n$. Then $xS = x + x^2 + ldots +x^n + x^{n+1} = S - 1 + x^{n+1}$.
All you have to do now is solve for $S$ (assuming $xneq 1$).
edited Oct 29 '16 at 11:04
answered Oct 29 '16 at 11:00
Ennar
14.3k32343
14.3k32343
Yes, but the OP said that he already knew this. What he is asking for is a visual representation of the proof.
– Alex M.
Oct 29 '16 at 11:01
Actually, they said that they knew proof by induction, but didn't know how one would come up with the formula in the first place. At least that is how I understood the question. @AlexM.
– Ennar
Oct 29 '16 at 11:02
add a comment |
Yes, but the OP said that he already knew this. What he is asking for is a visual representation of the proof.
– Alex M.
Oct 29 '16 at 11:01
Actually, they said that they knew proof by induction, but didn't know how one would come up with the formula in the first place. At least that is how I understood the question. @AlexM.
– Ennar
Oct 29 '16 at 11:02
Yes, but the OP said that he already knew this. What he is asking for is a visual representation of the proof.
– Alex M.
Oct 29 '16 at 11:01
Yes, but the OP said that he already knew this. What he is asking for is a visual representation of the proof.
– Alex M.
Oct 29 '16 at 11:01
Actually, they said that they knew proof by induction, but didn't know how one would come up with the formula in the first place. At least that is how I understood the question. @AlexM.
– Ennar
Oct 29 '16 at 11:02
Actually, they said that they knew proof by induction, but didn't know how one would come up with the formula in the first place. At least that is how I understood the question. @AlexM.
– Ennar
Oct 29 '16 at 11:02
add a comment |
There is a geometrical explanation.
Take a box long enough to put twice the amount of items equal to the last term of the sum, and try to pack it.
Let's take a box of length $2 * 2^n$.
Let's put the items from the first term ($2^n$) into the box. Now exactly one half of the space is left for the other terms, from $2^{n-1}$ down to $1$, so we repeat this process, starting from the next largest term.
As we put the items from each term, we notice that they take exactly one half of the empty space left in the box, because both the largest term left and the space left decreases in half on each step.
At some point we reach the first term, which is equal to 1, and there are two empty places left in the box for just one item, so after we put the last item into the box, there is still space for one more item.
The length of the box is $2*2^n = 2^{n+1}$, but it could be shorter by one, which is $2^{n+1} - 1$, and this is our formula.
For example, let's pack: $$sum_{i=0}^3 2^i$$
Box length: $$2 * 2^3 = 16$$
2^3 |* * * * * * * *| |
2^2 |* * * * * * * *|* * * *| |
2^1 |* * * * * * * *|* * * *|* *| |
2^0 |* * * * * * * *|* * * *|* *|*| |
It could be shorter by one:
$$2^{3+1}-1 = 15$$
By the way, similar geometrical explanation can be used for the ever decreasing geometric progression $sum_{i=0}^infty 2^{-i}$ with the only difference that we do not need to account for the last piece of empty space, because it tends to 0. Instead, we take some continuous medium as an example, such as a ribbon or a thread, which can be divided virtually infinitely so it sums to exactly a length of 2 units.
2
+1 Nice answer. To make it even nicer, edit to reformat with mathjax: math.meta.stackexchange.com/questions/5020/…
– Ethan Bolker
Nov 24 at 23:27
add a comment |
There is a geometrical explanation.
Take a box long enough to put twice the amount of items equal to the last term of the sum, and try to pack it.
Let's take a box of length $2 * 2^n$.
Let's put the items from the first term ($2^n$) into the box. Now exactly one half of the space is left for the other terms, from $2^{n-1}$ down to $1$, so we repeat this process, starting from the next largest term.
As we put the items from each term, we notice that they take exactly one half of the empty space left in the box, because both the largest term left and the space left decreases in half on each step.
At some point we reach the first term, which is equal to 1, and there are two empty places left in the box for just one item, so after we put the last item into the box, there is still space for one more item.
The length of the box is $2*2^n = 2^{n+1}$, but it could be shorter by one, which is $2^{n+1} - 1$, and this is our formula.
For example, let's pack: $$sum_{i=0}^3 2^i$$
Box length: $$2 * 2^3 = 16$$
2^3 |* * * * * * * *| |
2^2 |* * * * * * * *|* * * *| |
2^1 |* * * * * * * *|* * * *|* *| |
2^0 |* * * * * * * *|* * * *|* *|*| |
It could be shorter by one:
$$2^{3+1}-1 = 15$$
By the way, similar geometrical explanation can be used for the ever decreasing geometric progression $sum_{i=0}^infty 2^{-i}$ with the only difference that we do not need to account for the last piece of empty space, because it tends to 0. Instead, we take some continuous medium as an example, such as a ribbon or a thread, which can be divided virtually infinitely so it sums to exactly a length of 2 units.
2
+1 Nice answer. To make it even nicer, edit to reformat with mathjax: math.meta.stackexchange.com/questions/5020/…
– Ethan Bolker
Nov 24 at 23:27
add a comment |
There is a geometrical explanation.
Take a box long enough to put twice the amount of items equal to the last term of the sum, and try to pack it.
Let's take a box of length $2 * 2^n$.
Let's put the items from the first term ($2^n$) into the box. Now exactly one half of the space is left for the other terms, from $2^{n-1}$ down to $1$, so we repeat this process, starting from the next largest term.
As we put the items from each term, we notice that they take exactly one half of the empty space left in the box, because both the largest term left and the space left decreases in half on each step.
At some point we reach the first term, which is equal to 1, and there are two empty places left in the box for just one item, so after we put the last item into the box, there is still space for one more item.
The length of the box is $2*2^n = 2^{n+1}$, but it could be shorter by one, which is $2^{n+1} - 1$, and this is our formula.
For example, let's pack: $$sum_{i=0}^3 2^i$$
Box length: $$2 * 2^3 = 16$$
2^3 |* * * * * * * *| |
2^2 |* * * * * * * *|* * * *| |
2^1 |* * * * * * * *|* * * *|* *| |
2^0 |* * * * * * * *|* * * *|* *|*| |
It could be shorter by one:
$$2^{3+1}-1 = 15$$
By the way, similar geometrical explanation can be used for the ever decreasing geometric progression $sum_{i=0}^infty 2^{-i}$ with the only difference that we do not need to account for the last piece of empty space, because it tends to 0. Instead, we take some continuous medium as an example, such as a ribbon or a thread, which can be divided virtually infinitely so it sums to exactly a length of 2 units.
There is a geometrical explanation.
Take a box long enough to put twice the amount of items equal to the last term of the sum, and try to pack it.
Let's take a box of length $2 * 2^n$.
Let's put the items from the first term ($2^n$) into the box. Now exactly one half of the space is left for the other terms, from $2^{n-1}$ down to $1$, so we repeat this process, starting from the next largest term.
As we put the items from each term, we notice that they take exactly one half of the empty space left in the box, because both the largest term left and the space left decreases in half on each step.
At some point we reach the first term, which is equal to 1, and there are two empty places left in the box for just one item, so after we put the last item into the box, there is still space for one more item.
The length of the box is $2*2^n = 2^{n+1}$, but it could be shorter by one, which is $2^{n+1} - 1$, and this is our formula.
For example, let's pack: $$sum_{i=0}^3 2^i$$
Box length: $$2 * 2^3 = 16$$
2^3 |* * * * * * * *| |
2^2 |* * * * * * * *|* * * *| |
2^1 |* * * * * * * *|* * * *|* *| |
2^0 |* * * * * * * *|* * * *|* *|*| |
It could be shorter by one:
$$2^{3+1}-1 = 15$$
By the way, similar geometrical explanation can be used for the ever decreasing geometric progression $sum_{i=0}^infty 2^{-i}$ with the only difference that we do not need to account for the last piece of empty space, because it tends to 0. Instead, we take some continuous medium as an example, such as a ribbon or a thread, which can be divided virtually infinitely so it sums to exactly a length of 2 units.
edited Nov 24 at 23:55
answered Nov 24 at 23:19
George Polevoy
1214
1214
2
+1 Nice answer. To make it even nicer, edit to reformat with mathjax: math.meta.stackexchange.com/questions/5020/…
– Ethan Bolker
Nov 24 at 23:27
add a comment |
2
+1 Nice answer. To make it even nicer, edit to reformat with mathjax: math.meta.stackexchange.com/questions/5020/…
– Ethan Bolker
Nov 24 at 23:27
2
2
+1 Nice answer. To make it even nicer, edit to reformat with mathjax: math.meta.stackexchange.com/questions/5020/…
– Ethan Bolker
Nov 24 at 23:27
+1 Nice answer. To make it even nicer, edit to reformat with mathjax: math.meta.stackexchange.com/questions/5020/…
– Ethan Bolker
Nov 24 at 23:27
add a comment |
There is a combinatorial interpretation. Consider the collection of all binary sequences of length $n+1$ with at least one $1$ (call this set $E$). There are $$2^{n+1}-1$$ such sequences. Now let $E_j$ be the set of binary sequences of length $n+1$ such that the first $1$ is in the $j$ th component for $j=1,dotsc, n+1$. Then $|E_j|=2^{n+1-j}$. Then the $(E_j)$ partition $E$ and we have that
$$
1+2+2^2+dotsb+2^n=sum_{j=1}^{n+1}2^{n+1-j}=2^{n+1}-1.
$$
Alternatively
$$
sum_{k=0}^n 2^{k}=sum_{k=0}^n (2^{k+1}-2^k)=2^{n+1}-1.
$$
add a comment |
There is a combinatorial interpretation. Consider the collection of all binary sequences of length $n+1$ with at least one $1$ (call this set $E$). There are $$2^{n+1}-1$$ such sequences. Now let $E_j$ be the set of binary sequences of length $n+1$ such that the first $1$ is in the $j$ th component for $j=1,dotsc, n+1$. Then $|E_j|=2^{n+1-j}$. Then the $(E_j)$ partition $E$ and we have that
$$
1+2+2^2+dotsb+2^n=sum_{j=1}^{n+1}2^{n+1-j}=2^{n+1}-1.
$$
Alternatively
$$
sum_{k=0}^n 2^{k}=sum_{k=0}^n (2^{k+1}-2^k)=2^{n+1}-1.
$$
add a comment |
There is a combinatorial interpretation. Consider the collection of all binary sequences of length $n+1$ with at least one $1$ (call this set $E$). There are $$2^{n+1}-1$$ such sequences. Now let $E_j$ be the set of binary sequences of length $n+1$ such that the first $1$ is in the $j$ th component for $j=1,dotsc, n+1$. Then $|E_j|=2^{n+1-j}$. Then the $(E_j)$ partition $E$ and we have that
$$
1+2+2^2+dotsb+2^n=sum_{j=1}^{n+1}2^{n+1-j}=2^{n+1}-1.
$$
Alternatively
$$
sum_{k=0}^n 2^{k}=sum_{k=0}^n (2^{k+1}-2^k)=2^{n+1}-1.
$$
There is a combinatorial interpretation. Consider the collection of all binary sequences of length $n+1$ with at least one $1$ (call this set $E$). There are $$2^{n+1}-1$$ such sequences. Now let $E_j$ be the set of binary sequences of length $n+1$ such that the first $1$ is in the $j$ th component for $j=1,dotsc, n+1$. Then $|E_j|=2^{n+1-j}$. Then the $(E_j)$ partition $E$ and we have that
$$
1+2+2^2+dotsb+2^n=sum_{j=1}^{n+1}2^{n+1-j}=2^{n+1}-1.
$$
Alternatively
$$
sum_{k=0}^n 2^{k}=sum_{k=0}^n (2^{k+1}-2^k)=2^{n+1}-1.
$$
answered Nov 25 at 0:07
Foobaz John
20.9k41250
20.9k41250
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Another geometric interpretation.
Start with a line segment, AB. Extend this into a line. Use compassto mark off a point C by setting center at B and passing radius through A. Then lengths, AB=BC. Create point D in a similar way. We have thus constructed a length double that of the original line segment.
This doubling can continue AS MUCH S you like.
Now ignore the first line segment, AB.
The series of segments now starts with BD which has double the length of AB.
In general the nth segment in the first case is the n-1th segment upon removal of AB. Further, each is double the length of its corresponding section.
So By subtracting a part we've doubled what remains, but with fewer sections to account for.
This gives the formula.
add a comment |
Another geometric interpretation.
Start with a line segment, AB. Extend this into a line. Use compassto mark off a point C by setting center at B and passing radius through A. Then lengths, AB=BC. Create point D in a similar way. We have thus constructed a length double that of the original line segment.
This doubling can continue AS MUCH S you like.
Now ignore the first line segment, AB.
The series of segments now starts with BD which has double the length of AB.
In general the nth segment in the first case is the n-1th segment upon removal of AB. Further, each is double the length of its corresponding section.
So By subtracting a part we've doubled what remains, but with fewer sections to account for.
This gives the formula.
add a comment |
Another geometric interpretation.
Start with a line segment, AB. Extend this into a line. Use compassto mark off a point C by setting center at B and passing radius through A. Then lengths, AB=BC. Create point D in a similar way. We have thus constructed a length double that of the original line segment.
This doubling can continue AS MUCH S you like.
Now ignore the first line segment, AB.
The series of segments now starts with BD which has double the length of AB.
In general the nth segment in the first case is the n-1th segment upon removal of AB. Further, each is double the length of its corresponding section.
So By subtracting a part we've doubled what remains, but with fewer sections to account for.
This gives the formula.
Another geometric interpretation.
Start with a line segment, AB. Extend this into a line. Use compassto mark off a point C by setting center at B and passing radius through A. Then lengths, AB=BC. Create point D in a similar way. We have thus constructed a length double that of the original line segment.
This doubling can continue AS MUCH S you like.
Now ignore the first line segment, AB.
The series of segments now starts with BD which has double the length of AB.
In general the nth segment in the first case is the n-1th segment upon removal of AB. Further, each is double the length of its corresponding section.
So By subtracting a part we've doubled what remains, but with fewer sections to account for.
This gives the formula.
answered Nov 25 at 1:12
TurlocTheRed
838311
838311
add a comment |
add a comment |
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2
This addition of powers of two, and many other examples, are all geometric series. There's a lot of visualisations of this out there.
– Parcly Taxel
Oct 29 '16 at 10:58
1
Write the numbers in base 2: The powers of $2$ starting from $1=2^0$ will be in binary, $1+10+100+1000$ will always be a number that will be a n with all binary digits 1. This is the largest number having that many digits. SO it is of the form $2^{n+1}-1$
– P Vanchinathan
Oct 29 '16 at 11:01
I think there's a counting/probabilistic way to approach this something about having $n$ binary choices
– BCLC
Oct 31 '16 at 11:17