Intereting Posts

How to find a generator of a cyclic group?
Dominated convergence theorem for absolutely continuous function
Optimization with cylinder
Quadratic Congruence (with Chinese Remainder Thm)
Examples of non symmetric distances
Solve the functional equation $2f(x)=f(ax)$ for some $a$.
Bhattacharya Distance (or A Measure of Similarity) — On Matrices with Different Dimensions
What is an application of the dual space?
Does this category have a name? (Relations as objects and relation between relations as morphisms)
Modern Books on Group Theory in German or French
Definition of a measurable function?
Does the series $ \sum\limits_{n=1}^{\infty} \frac{1}{n^{1 + |\sin(n)|}} $ converge or diverge?
How to find all the Quadratic residues modulo $p$
Is there an equation that will graph a line segment?
Binomial probability with summation

I’m told by *smart people* that

$$0.999999999\dots=1$$

and I believe them, but is there a proof that explains why this is?

- Prove that $a^2+ab+b^2\ge 0$
- prove that $\tan(\alpha+\beta) = 2ac/(a^2-c^2)$
- Why is integer approximation of a function interesting?
- Proof with 3D vectors
- system of equations $\sqrt{x}+y = 11$ and $x+\sqrt{y} = 7$.
- Is there a $k$ such that $2^n$ has $6$ as one of its digits for all $n\ge k$?
- How to find the sum of this : $\sqrt{1+\frac{1}{1^2}+\frac{1}{2^2}}+ \sqrt{1+\frac{1}{2^2}+\frac{1}{3^2}}+\sqrt{1+\frac{1}{3^2}+\frac{1}{4^2}}+…$
- Why are the domains for $\ln x^2$ and $2\ln x$ different?
- Find the value of $\alpha + \beta + \alpha\beta $ from the given data
- Is this Batman equation for real?

What does it mean when you refer to $.99999\ldots$? Symbols don’t mean anything in particular until you’ve *defined what you mean by them*.

In this case the definition is that you’re taking the limit of $.9$, $.99$, $.999$, $.9999$, etc. What does it mean to say that limit is $1$? Well, it means that no matter how small a number $x$ you pick, I can show you a point in that sequence such that all further numbers in the sequence are within distance $x$ of $1$. But certainly whatever number you chose your number is bigger than $10^{-k}$ for some $k$. So I can just pick my point to be the $k$th spot in the sequence.

A more intuitive way of explaining the above argument is that the reason $.99999\ldots = 1$ is that their difference is zero. So let’s subtract $1.0000\ldots -.99999\ldots = .00000\ldots = 0$. That is,

$1.0 -.9 = .1$

$1.00-.99 = .01$

$1.000-.999=.001$,

$\ldots$

$1.000\ldots -.99999\ldots = .000\ldots = 0$

Suppose this was not the case, i.e. $0.9999… \neq 1$. Then $0.9999… < 1$ (I hope we agree on that). But between two distinct real numbers, there’s always another one (say $x$) in between, hence $0.9999… < x < 1$.

The decimal representation of $x$ must have a digit somewhere that is not $9$ (otherwise $x = 0.9999…$). But that means it’s actually smaller, $x < 0.9999…$, contradicting the definition of $x$.

Thus, the assumption that there’s a number between $0.9999…$ and $1$ is false, hence they’re equal.

What I really don’t like about all the above answers, is the underlying assumption that $1/3=0.3333\ldots$ How do you know that? It seems to me like assuming the something which is already known.

A proof I really like is:

$$\begin{align}

0.9999\ldots × 10 &= 9.9999\ldots\\

0.9999\ldots × (9+1) &= 9.9999\ldots\\

\text{by distribution rule: }\Space{15ex}{0ex}{0ex} \\

0.9999\ldots × 9 + 0.9999\ldots × 1 &= 9.9999\ldots\\

0.9999\ldots × 9 &= 9.9999\dots-0.9999\ldots\\

0.9999\ldots × 9 &= 9\\

0.9999\ldots &= 1

\end{align}$$

The only things I need to assume is, that $9.999\ldots – 0.999\ldots = 9$ and that $0.999\ldots × 10 = 9.999\ldots$ These seems to me intuitive enough to take for granted.

The proof is from an old high school level math book of the Open University in Israel.

Assuming:

- infinite decimals are series where the terms are the digits divided by the proper power of the base
- the infinite geometric series $a + a \cdot r + a \cdot r^2 + a \cdot r^3 + \cdots$ has sum $\dfrac{a}{1 – r}$ as long as $|r|<1$

$$0.99999\ldots = \frac{9}{10} + \frac{9}{10^2} + \frac{9}{10^3} + \cdots$$

This is the infinite geometric series with first term $a = \frac{9}{10}$ and common ratio $r = \frac{1}{10}$, so it has sum $$\frac{\frac{9}{10}}{1 – \frac{1}{10}} = \frac{\frac{9}{10}}{\frac{9}{10}} = 1.$$

$$x=0.999…$$

$$10x=9.999…$$

$$10x-x=9.999…-0.999…$$

$$9x=9$$

$$x=1$$

thus, $0.999…=1$

Okay I burned a lot of reputation points (at least for me) on MathOverflow to gain clarity on how to give some intuition into this problem, so hopefully this answer will be at least be somewhat illuminating.

To gain a deeper understanding of what is going on, first we need to answer the question, “What is a number?”

There are a lot of ways to define numbers, but in general numbers are thought of as symbols that represent sets.

This is easy for things like the natural numbers. So 10 would correspond to the set with ten things — like a bag of ten stones. Pretty straight forward.

The tricky part is that when we consider ten a subset of the real numbers, we actually redefine it. This is not emphasized even in higher mathematics classes, like real analysis; it just happens when we define the real numbers.

So what is 10 when constructed in the real numbers? Well, at least with the Dedekind cut version of the real numbers, **all** real numbers correspond to a set with an infinite amount of elements. This makes 10 under the hood look drastically different, although in practice it operates exactly the same.

So let’s return to the question: Why is 10 the same as 9.99999? Because the real numbers have this completely surprising quality, where there is no next real number. So when you have two real numbers that are as close together as possible, they are the same. I can’t think of any physical object that has this quality, but it’s how the real numbers work (makes “real” seem ironic).

With integers (bag of stones version) this is not the same. When you have two integers as close to each other as possible they are still different, and they are distance one apart.

Put another way, 10 bag of stones are not the same as 9.9999999 but 10 the natural number, where natural numbers are a subset of the real numbers is.

The bottom line is that the real numbers have these tricky edge cases that are hard to understand intuitively. Don’t worry, your intuition is not really failing you. 🙂

I didn’t feel confident answering until I got this Terence Tao link: http://www.google.com/buzz/114134834346472219368/RarPutThCJv/In-the-foundations-of-mathematics-the-standard.

One argument against this is that 0.99999999… is “somewhat” less than 1. How much exactly?

```
1 - 0.999999... = ε (0)
```

If the above is true, the following also must be true:

```
9 × (1 - 0.999999...) = ε × 9
```

Let’s calculate:

```
0.999... ×
9 =
───────────
8.1
81
81
.
.
.
───────────
8.999...
```

Thus:

```
9 - 8.999999... = 9ε (1)
```

But:

```
8.999999... = 8 + 0.99999... (2)
```

Indeed:

```
8.00000000... +
0.99999999... =
────────────────
8.99999999...
```

Now let’s see what we can deduce from `(0)`

, `(1)`

and `(2)`

.

```
9 - 8.999999... = 9ε because of (2)
9 - 8.999999... = 9 - (8 + 0.99999...) = because of (1)
= 9 - 8 - (1 - ε) because of (0)
= 1 - 1 + ε
= ε.
```

Thus:

```
9ε = ε
8ε = 0
ε = 0
1 - 0.999999... = ε = 0
```

Quod erat demonstrandum. Pardon my unicode.

There are genuine conceptual difficulties implicit in this question. The transition from the rational numbers to the real numbers is a difficult one, and it took a long time and a lot of thought to make it truly rigorous. It has been pointed out in other answers that the notation $0.999999\ldots$ is just a shorthand notation for the infinite geometric series $\sum_{n=1}^{\infty} 9\left( \frac{1}{10} \right)^{n},$ which has sum $1.$ This is factually correct, but still sweeps some of the conceptual questions under the carpet. There are questions to be addressed about what we mean we we write down ( or pretend to) an infinite decimal, or an infinite series. Either of those devices is just a shorthand notation which mathematicians agree will represent some numbers, given a set of ground rules. Let me try to present an argument to suggest that if the notation $0.99999\ldots$ is to meaningfully represent any real number, then that number could be nothing other than the real number $1$, if we can agree that some truths are “self-evident”. Surely we can agree that the real number it represents can’t be strictly greater than $1$, if it does indeed represent a real number. Let’s now convince ourselves that it can’t be a real number strictly less than $1,$

if it makes any sense at all. Well, if it was a real number $r < 1,$ that real number would be greater than or equal to $\sum_{n=1}^{k} 9\left( \frac{1}{10} \right)^{n}$ for any finite integer $k.$ (This last number is the decimal $0.99 \ldots 9 $ which terminates after $k$ occurrences of $9,$ and differs from $1$ by $\frac{1}{10^{k}}.$ Since $0 < r <1,$ there is a value of $k$ such that $\frac{1}{10^{k}} < 1-r,$ so $1 – \frac{1}{10^{k}} >r.$ Hence $\sum_{n=1}^{k} 9\left( \frac{1}{10} \right)^{n} > r.$ But this can’t be, because we agreed that $r$ should be greater than or equal to each of those truncated sums. Have I proved that the recurring decimal is equal to $1$? Not really- what I have proved is that if we allow that recurring decimal to meaningfully represent any real number, that real number has to be $1,$ since it can’t be strictly less than $1$ and can’t be strictly greater than $1$. At this point, it becomes a matter of convention to agree that the real number $1$ can be represented in that form, and that convention will be consistent with our usual operations with real numbers and ordering of the real numbers, and equating the expression with any other real number would not maintain that consistency.

`.999... = 1`

because `.999...`

is a concise symbolic representation of “the limit of some variable as it approaches one.” Therefore, `.999... = 1`

for the same reason the limit of x as x approaches 1 equals 1.

If you take two real numbers `x`

and `y`

then there per definition of the real number `z`

for which `x < z < y`

or `x > z > y`

is true.

For `x = 0.99999...`

and `y = 1`

you can’t find a `z`

and therefore `0.99999... = 1`

.

You can visualise it by thinking about it in infinitesimals. The more $9’s$ you have on the end of $0.999$, the closer you get to $1$. When you add an infinite number of $9’s$ to the decimal expansion, you are infinitely close to $1$ (or an infinitesimal distance away).

And this isn’t a rigorous proof, just an aid to visualisation of the result.

Indeed this is true. The underlying reason is that decimal numbers are not unique representations of the reals. (Technically, there does not exist a bijection between the set of all decimal numbers and the reals.)

Here’s a very simple proof:

$$\begin{align}

\frac13&=0.333\ldots&\hbox{(by long division)}\\

\implies0.333\ldots\times3&=0.999\ldots&\hbox{(multiplying each digit by $3$)}

\end{align}$$

Then we already know $0.333\ldots\times3=1$ therefore $0.999\ldots=1$.

Given (by long division):

$\frac{1}{3} = 0.\bar{3}$

Multiply by 3:

$3\times \left( \frac{1}{3} \right) = \left( 0.\bar{3} \right) \times 3$

Therefore:

$\frac{3}{3} = 0.\bar{9}$

QED.

Often times people who ask this question are not very convinced by a proof. Since they may not be particularly math inclined, they may feel that a proof is a sort of sleight-of-hand trick, and I find the following **intuitive** argument (read “don’t down-vote me for lack of rigor, lack of rigor is the point”) a bit more convincing:

STEP 1) If $.99…\neq1$, everyone agrees that it must be less than $1$. Let $\alpha$ denote $.99…$, this mysterious number less than $1$.

STEP 2) Using a number line, you can convince them that since $\alpha<1$, there must be **another** number $\beta$ such that $\alpha<\beta<1$.

STEP 3) Since $\alpha<\beta$, one of the digits of $\beta$ must be bigger than the corresponding digit of $\alpha$.

STEP 4) However it is usually intitively clear that you cannot make any digit of $.99…$ bigger without making the resulting number (ie $\beta$) **bigger** than $1$.

STEP 5) Thus no such $\beta$ can exist, and thus $.99…$ cannot be less than $1$.

The real number system is defined as an extension of the rationals with the property that any sequence with an upper bound has a LEAST upper bound. The expression ” 0.9-repeated” is defined to be the least real-number upper bound of the sequence 0.9. 0.99, 0.999,….. , which is 1. The rationals (and the reals) can also be extended to an arithmetic system (an ordered field) in which there are positive values which are less than every positive rational. In such systems the expression “.9-repeated” has no meaning.

There are some situations in which something like $0.99999\ldots < 1$ indeed holds. Here is one coming from social choice theory.

Let $w_1>w_2>\ldots$ be an infinite sequence of positive numbers, and let $T$ be a number in the range $(0,\sum_i w_i)$. Pick an index $i$. Choose a random permutation $\pi$ of the positive integers, and consider the running totals

$$

w_{\pi(1)}, w_{\pi(1)} + w_{\pi(2)}, w_{\pi(1)} + w_{\pi(2)} + w_{\pi(3)}, \cdots

$$

The Shapley value $\varphi_i(T)$ is the probability that the first time that the running total exceeds $T$ is when $w_i$ is added.

We will particularly be interested in the case in which the sequence $w_i$ is *super-increasing*: for each $i$, $w_i \geq \sum_{j=i+1}^\infty w_j$. The simplest case is $w_i = 2^{-i}$. Every number $T \in (0,1)$ can be written in the form

$$ T = 2^{-a_0} + 2^{-a_1} + \cdots, \qquad a_0 < a_1 < \cdots. $$

In this case we can give an explicit formula for $\varphi_i(T)$:

$$

\varphi_i(T) = \begin{cases}

\sum_{t\colon a_t>i} \frac{1}{a_t \binom{a_t-1}{t}} & \text{if } i \notin \{a_0,a_1,\ldots\}, \\

\frac{1}{a_s \binom{a_s-1}{s}} – \sum_{t\colon a_t>i} \frac{1}{a_t \binom{a_t-1}{t-1}} & \text{if } i = a_s.

\end{cases}

$$

The first two functions are plotted here:

What happens for different sets of weights? The same formula applies, for

$$

T = w_{a_0} + w_{a_1} + \cdots, \qquad a_0 < a_1 < \cdots.

$$

In general not all $T$ will be of this form; for $T$ not of this form, we take the lowest upper bound which is of this form. What we get for $w_i = 3^{-i}$ is:

Notice all the horizontal parts, for example the blue line at $y=1$ at $x \in (1/6,1/3)$. Where does this stem from? Note that $1/3 = 3^{-1} = w_1$, whereas $1/6 = \sum_{i=2}^\infty 3^{-i} = \sum_{i=2}^\infty w_i$. If we substitute $w_i = 2^{-i}$, then $1/3$ corresponds to $0.1$ (in binary), whereas $1/6$ corresponds to $0.011111\ldots$. So in this case there is a (visible) gap between $0.011111\ldots$ and $0.1$!

For more, take a look at this question and this manuscript.

The problem isn’t proving that $0.9999… = 1$. There are many proofs and they all are easy.

The problem is being convinced that every argument you are making actually is valid and makes sense, and not having a sinking feeling you aren’t just falling for some parlor trick.

$0.99…9;$ (with $n$ 9s) is $\sum_{i= 1}^n \frac 9 {10^i}$ so “obviously” $0.999….$ (with an infinite number of 9s) is $\sum_{i = 1}^{\infty} \frac 9{10^i}$.

The obvious objection is: does it even make sense to talk about adding an infinite number of terms? *How* can we talk about taking and adding an infinite number of terms?

And it’s a legitimate objection.

So when we learn math in elementary school we are told: Every real number can be written as a decimal expansion (maybe infinite) and every possible decimal expansion is a real number. And this is true. But we are not told why and we are expected to take it on faith, and we usually do.

*IF* we take this on faith then a proof is very easy:

$0.9999…. = \sum_{i = 1}^{\infty} \frac 9{10^i}$

$10*(0.9999….) = 10*\sum_{i = 1}^{\infty} \frac 9{10^i}= \sum_{i = 1}^{\infty} \frac {90}{10^i}=$

$\sum_{i = 1}^{\infty} \frac 9{10^{i-1}} = 9/10^0 + \sum_{i = 2}^{\infty} \frac 9{10^{i-1}}= 9 + \sum_{i = 1}^{\infty} \frac 9{10^i}$ (Look at the indexes!)

So…

$10*(0.999…) – (0.9999…) = (10 – 1)*0.9999…. = 9*0.99999…. = $

$9 + \sum_{i = 1}^{\infty} \frac 9{10^i} – \sum_{i = 1}^{\infty} \frac 9{10^i} = 9$.

So…

$0.9999…. = 9/9 = 1$.

Easy! **!!!!!!!IF!!!!!!!** we take it on faith that: Every real number can be written as a decimal expansion (maybe infinite) and every possible decimal expansion is a real number.

So why can we take that on faith? That’s the issue: why is that true and what does it mean?

So….

We’ve got the Integers. We use them to count discrete measurements. We can use an integer to divide a unit 1 into $m$ sub-units to measure measurements of $1/m$. As the $m$ can be as large as we want the $1/m$ can be as precise as we want and the system of all possible $n/m; m \ne 0$ can measure any possible quantity with arbitrary and infinite precision.

We hope. We call these $n/m$ numbers the Rationals and everything is fine until we discover that we can’t actually measure measurements such as the square root of two or pi.

But the Rationals still have infinite precision. We can get within 1/10 away from pi. We can get within 1/100 away from pi. Within $1/10^n$ for any possible power of 10.

At this point, we hope we can say “we can’t measure it with any finite power of 10 but we can always go one more significant measure, so if we go through *infinite* powers of 10 we will measure it to precision” and we hope that explanation will be convincing.

But it isn’t really. We have these “missing numbers” and we can get infinitely close the them, but what *are* they really?

Well, we decide to become math majors and in our senior year of college we take a Real Analysis course and we find out.

We can view numbers as sets of rational numbers. We can split the rational numbers at any point into two sets. We can split the rational numbers so that all the rational numbers less than 1/2 are in set A and all the rational numbers greater than or equal to 1/2 are in set B (which we ignore; we are only interested in set A.)

These “cuts” can occur at any point but they must follow the following rules:

–the set A of all the smaller rational numbers is not empty. Nor does it contain every rational number. Some rational number is not in it.

–if any rational number (call it q) is in A, then every rational number smaller than q is also in A. (This means that if r is a rational not in A, then every rational bigger than r is also not in A.)

— A does not have a single largest element. (So it can be all the elements less than 1/2 but it can’t be all the elements less than or equal to 1/2).

And we let $\overline R$ be the collection of all possible ways to “cut” the rational numbers in half that way.

Notice sometimes the cut will occur at a rational number (all the rationals less than 1/2), but sometimes it will occur at points “between” the rational numbers. (All the rationals whose squares are less than 2). So the collection $\overline R$ is a larger set than the set of Rational numbers.

It turns out we can define the Real numbers as the points of $\overline R$ where we can cut the rationals in two.

We need to do a bit or work to show that this is actually a number system. We say $x, y \in \overline R; x < y$ if the “Set A made by cutting at x” $\subset$ “Set A made by cutting at y”. And we say $x + y = $ the point where we need to cut so that the set A created contains all the sums of the two other sets created by cutting at x and y. And we have to prove math *works* on $\overline R$. But we can do it. And we do.

But as a consequence we see that every real number is the least upper bound limit of a sequence of rational numbers. That’s pretty much the definition of what a “cut point” is; the point that separate all the rationals less than it from all the other rationals.

I like to say (somewhat trivially) that: the real number $x$ is the least upper bound of all the rational numbers that are smaller than $x$. And it’s true!

In the real numbers, every real number is the limit of some sequence of rational numbers. And every bounded sequence of rational numbers will have a real number least upper bound limit.

…

Let that sink in for a minute.

=====

Okay, so given a sequence {3, 3.1, 3.14, 3.141,….} = {finite decimals that are less than pi} is a bounded sequence of rational numbers so $\pi = $ the limit of the sequence which is also the limit of the infinite sequence 3.1415926….

It now makes sense to talk of $0.9999…. = \sum_{i=1}^{\infty}9/10^i = \lim\{\sum_{i=1}^n9/10^i\}$ = a precise and real number.

And from there we can say with confidence that that number is $1$. (By any of these proofs.)

Another approach is the following:

$$0.\overline9=\lim_{n \to \infty} 0.99…..9 = \lim_{n \to \infty} \sum\limits_{k=1}^n \frac{9}{10^k}=\lim_{n \to \infty} 1-\frac{1}{10^n}=1-\lim_{n \to \infty} \frac{1}{10^n}=1$$

Here’s my favorite reason why $.999\ldots$ should equal $1$:$^{*}$

\begin{align*}

.999\ldots + .999\ldots

&= (.9 + .09 + .009 + \cdots) + (.9 + .09 + .009 + \cdots) \\

&= (.9 + .9) + (.09 + .09) + (.009 + .009) + \cdots \\

&= 1.8 + .18 + .018 + .0018 + \cdots \\

&= (1 + .8) + (.1 + .08) + (.01 + .008) + (.001 + .0008) + \cdots \\

&= 1 + (.8 + .1) + (.08 + .01) + (.008 + .001) + \cdots \\

&= 1 + .9 + .09 + .009 + \cdots \\

&= 1 + .999\ldots

\end{align*}

It follows subtracting $.999\ldots$ from both sides that $.999\ldots = 1$.

The reason I like this explanation best is that addition of (positive) infinite decimal expansions (defined in a particular way) is both commutative and associative even if you insist that $.999\ldots$ and $1$ are different numbers. That is, it forms a commutative monoid.

But the cancellation property fails: if $a + b = a + c$, then we can’t necessarily conclude $b = c$. The example of this is above, and the most fundamental reason why $.999\ldots = 1$ is arguably so that the cancellation property can hold.

$^{*}$The calculation given here (using rearrangmenet and regrouping of terms) is informal, and not intended to be a proof, but rather to give some idea of how you can add infinite decimal expansions in the monoid where $.999\ldots \ne 1$. It does end up being true that $.999\ldots + .999\ldots = 1 + .999\ldots$ in this monoid.

This should explain it all:

$0.5 = 0.4999… = \frac{1}{2}$

$0.5 + 0.4999… = 0.9999… = \frac{1}{2}+\frac{1}{2}=1$

This is saying that as long as we accept $0.5=0.4999…$ and similar infinite duplicates, it is $0.999…=1$

Another way with explicitly used duplicate

$\frac{1}{11}=0.090909….$

$\frac{10}{11}=0.909090….$

$\frac{1}{11}+\frac{10}{11}=0.999999… = 1$

One cool way I learned to prove this is that, assuming by $0.99999…$ you mean $0.\bar{9}$. Well we can say that

$$0.\bar{9}=\sum_{n=1}^{\infty}9\cdot 10^{-n}=9\sum_{n=1}^{\infty}\frac{1}{10^n}$$

Which we know converges by fact that this is a geometric series with the ratio between terms being less than $1$. So we know that

$$9\sum_{n=1}^{\infty}\frac{1}{10^n}=9\left(\frac{1}{1-\frac{1}{10}}-1\right)=10-9=1$$

Note that we subtract off the $1$ in the parentheses because we started indexing at $1$ rather than at $0$, so we have to subtract of the value of the sequence at $n=0$ which is $1$.

Use the Squeeze Theorem:

$$0<1-0.999…=0.1+0.9-0.999…=0.1-0.0999…<0.1=0.1^1$$

$$0<0.1-0.0999…=0.01+0.09-0.0999…=0.01-0.00999…<0.01=0.1^2$$

$$…$$

$$0<1-0.999…<0.1^n$$

$$0\le 1-0.999… \le \lim\limits_{n\to\infty}0.1^n=0.$$

- Prove that there is a unique inner product on $V$
- Prove that $\lim f_n(x_n) = f(x), x_n\rightarrow x,$ then $f_n\rightarrow f$ uniformly on compact
- How many field structures does $\mathbb{R}\times \mathbb{R}$ have?
- Cox derivation of the laws of probability
- series involving $\log \left(\tanh\frac{\pi k}{2} \right)$
- Degree sequence of connected graphs
- Average distance to a random point in a rectangle from an arbitrary point
- Sequence problem involving inequalities
- Difference between bijection and isomorphism?
- A question about intersection number
- Euclidean algorithm to find the GCD
- What is the difference between stationary point and critical point in Calculus?
- Is empty set element of every set if it is subset of every set?
- $(n^2 \alpha \bmod 1)$ is equidistributed in $\mathbb{T}^2$ if $\alpha \in \mathbb{R} \setminus \mathbb{Q}$
- Total number of unordered pairs of disjoint subsets of S