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Use the Law of Sines:
Plug in the different values of b and solve for C. Now, in order to find a second triangle with that same value for b, you need to see if it's possible to create a triangle with a second C that will preserve the Law of Sines. To do this simply subtract C from 180. Determine if this second C can make a triangle or not.
Fundamental Theorm of Arithmetic (in my own words, not from a dictionary):
Every positive integer is either prime or composite. If it is prime then its only factors are itself and 1. If it is composite it can be uniquely represented by its prime factors. For example, 11 is prime, meaning its only factors are 1 and 11. 12 is composite, and can be reduced to 2^2 * 3^1. No other set of prime factors can represent the number 12.
Formula for calculating phi(n):
Reduce n to it's prime factors -
Now, let's consider these definitions as they relate to your question. N can be uniquely represented by its prime factors. Consider the relationship between prime factorization and the formula for phi(n).
Edit: As is generally the case in math, there is more than 1 way to solve this problem. According to Wikipedia this function has a very simple lower bound:
Given this, it's trivial to prove phi(n) = N for only finitely many n and that phi(n) tends to infinity as n approaches infinity. Of course, the hard work is actually proving that lower bound (which Wikipedia does not seem to provide), but it's another avenue for you to consider.
Impressive Jane.
78365492 is not divisible by 8.
Let A be the number of adults, S be the number of seniors, and C be the number of children. I don't know English currency, but I'll assume 50p is equal to half a pound.
A + S + C = 20
1.5A + 2S + 0.5C = 20
S = 20 - (A + C)
1.5A + 2(20 - (A + C)) + 0.5C = 20
1.5A + 40 - 2A - 2C + 0.5C = 20
40 - 0.5A - 1.5C = 20
0.5A + 1.5C = 20
A + 3C = 40
Assuming that you need an even number of adults (since the price is listed per 2 adults, rather than per adult) use trial and error to find the following possible solutions:
12C, 4A, 4S
10C, 10A
If you can have an odd number of adults then 13C, 1A, 6S and 11C, 7A, 2S also work.
I'm not much help since it's been some time since I've worked with linear algebra, but thanks to Ricky's hints I think I can help you with #3.
In logic, the contrapositive means this: If A implies B, then Not B implies Not A. In terms of question 3 it can be reworded like this: If A is not similar to B, then A^2 is not similar to B^2. This is equivalent to proving that if A^2 is similar to B^2 then A is similar to B. Note that you don't have to guess the correct answer from the start; either you do prove the assumption (A is not similar to B implies A^2 is not similar to B^2) or you find that it is wrong and prove the reverse by contradiction (my favorite kind of proof, btw).
Now that the idea is laid out, the only work to do is to actually prove the assumption is either right or wrong. Ricky states outright that the assumption is true, but I don't know of any basic theorems that support that conclusion. After all, it's not true for the real numbers. I don't actually know the answer, but I assume you can work from there.
My head hurts.
Due to the fact that x+1 must be prime, which I showed above, it's clear that x must be even (or 1, since 1+1 is the only even prime number). However, I can't see the why y must also be prime. Could you please show us the justification for this?
I haven't managed to solve it yet, but maybe someone else can use what I've found so far.
First, I've found 3 solutions: (1,1), (2,1), and (4,2). Secondly, x+1 must be prime. This can be seen with a simple rearrangement:
x! + 1 cannot be divided by any number from 2 to x, which means (x+1)^y can't either, which means x+1 cannot be divided by any number from 2 to x, which makes it prime.
After this I'm stuck. What's interesting is that there are solutions where x+1 is prime for each of the first 3 primes but none of the following 3, which is where I stopped trying to find solutions by hand.
You're on the right track, but notice that your grammar requires an equal amount of a's and c's. What you need is a grammar that produces an equal amount of a's and b's at first, then changes to produce an equal amount of b's and c's. I'll start you off:
S -> aAb
S -> B
S -> empty
A -> aCbB
A -> empty
I'll leave B and C to you.
That answer is wrong Frank67625. You can easily check for yourself by plugging your answer into the equation. Using the positive square root you get z ~= 13.39. Substituting this value into your equation gives you
179.22 = 119.49, which is obviously wrong.
I'm not sure where you went wrong in coming up with that answer. Note that you can rewrite the equation to be z^2 - 9z + 1 = 0, which you can then use the quadratic formula on.
Also, please don't bump a 2 year old topic for a specific question like this. You should create a new thread to ask for help.
To find the remainder we simply need to find the last 3 digits of 9*5^43. First find the last 3 digits of 5^43, which is fairly simple when you notice the following pattern:
X Last 3 digits of 5^X
1 005
2 025
3 125
4 625
5 125
6 625
... ...
For any even number n >= 4, the last 3 digits of 5^n are 625. For any odd number k >= 3, the last 3 digits of 5^k are 125. Since 43 is odd we know the last 3 digits of 5^43 are 125. Multiply this by 9 to get 1125. This means our remainder when dividing by 1000 will be 125.
Identity wrote:JaneFairfax wrote:Is this the most difficult proof ever?
No. That would probably be, "Classify all finite simple groups." That spanned thousands of papers and hundreds of mathematicians. Another good one is "Prove that any group of odd order is solvable." That one was 255 pages.
Perhaps it's not the longest proof, but has any other theorem taken longer to prove from the time it was first proposed? My hunch is that there has been, but I don't know off the top of my head.
What do you mean it's "no PJ"?
To get the number below the two boxes above, follow the procedure below..
Let the two numbers in the top boxes be 'a' and 'b'. Multiply 'a' and 'b' and call it 'x'. Then, divide 'a' by 3 and multiply it with 'b' and call it 'y'. Now just add 'x' and 'y' and you get the number in the bottom centre box!!That's only just one of the multiple possibilities...
That can be simplified to
. I initially fell into the same trap Jane did and thought of the boxes in a sequence (and came up with the same, incorrect, answer tooTheDude wrote:Like using 2 for a number base, 16 would mesh nicely with our use of bits in electronics. It is a perfect square, and its root is also a perfect square.
Dude, the practical usefulness of a particular number base is not because it is a perfect square, but because of its factorizability. For practical-sized bases, therefore, the best bases are 60, 72, 84, 96 and 108, each having 12 factors. The Babylonians probably chose 60 because it is the least of the 12-factor bases and therefore most compact and economical to use. More importantly, 60 is divisible by 10 the magic number for pentadactylous species like Homo sapiens.
The next base with more than 12 factors is 120, which has 16 factors. But the larger the base, the more unwieldy it is, and the more difficult to keep track of whats going on mentally. Therefore 60 is the most practical of the practical bases to use.
Whew, 60 digits? My gut instinct tells me that a system with that many digits would be unwieldy. Apparently the Babylonians managed, but I also suspect that math was restricted to their more advanced students rather than being widely taught.
Admittedly, 16 was a rather greedy choice for me since I work with computers and have an attachment to powers of 2. If we're looking for a base with a lot of factors how about 12. It has half of the factors of 60 with only one-fifth as many digits.
As for 10 being an arbitrary number, I think bossk is saying that there's not much about it that's special from a numerical standpoint. It's not completely arbitrary since, as you noted, we have 10 fingers. It also has some interesting properties that Ricky pointed out, but from a purely mathematical point of view it's not very special and probably is not ideal.
I believe ten is the base of our modern number system because we have 10 fingers (barring any deformities). Imagine living 10,000 years ago with no concept of a number system. You travel to a nearby village and want to buy some sheep. How are you going to describe how many sheep you want to buy? Probably by holding up one finger for each sheep that you want. The problem comes if you want 12 sheep. To solve this you flash all ten fingers once, then hold up two fingers. What you've just done, without knowing you've done it, is count in base ten. My guess is that from there people were so used to counting in tens that by the time a formal number system was implemented they decided to make it in base 10 for simplicity's sake.
As for what number I would use as a base, I'd go with 16. Theoretically 1 would be a nice number base because arithmetic operations would be quite simple (e.g., to add 2 numbers together just append them: 000 + 0000 = 0000000), but it would have obvious practicality issues (you couldn't easily record numbers of any reasonable size). Two could be interesting since it's the smallest prime number and the only even prime number, not to mention it's wide use in modern technology, but it would suffer the same practicality issues that 1 does.
Like using 2 for a number base, 16 would mesh nicely with our use of bits in electronics. It is a perfect square, and it's root is also a perfect square. Being a power of 2 it has only a single prime factor. It would be far more practical from a storage point of view than 1 or 2 (and slightly moreso than ten), but not so big that the number of symbols needed to represent all of the digits would be cumbersome.
Yes.
http://en.wikipedia.org/wiki/Inverse_matrix
It's been a few years since I've done anything with formal languages, but what I think you're looking for is a Type-3 grammar on the Chomsky hierarchy (thank goodness for Wikipedia, I never would have remembered something that detailed). This means that the language can be generated with a right regular grammar, which means that it can be completely generated with rules of the following type:
A -> b
A -> cD
A -> empty string
For example, let's say that all expressions start with S. Here's the grammar (or language, I'm unsure of the proper terminology) for the expression a*b*:
S -> aS
S -> bA
S -> empty string
A -> bA
A -> empty string
You can see that by starting with S and following the above rules that we can generate any expression in a*b*. As another example, let's try to make a list of rules for a(a|b)*:
S -> aA
A -> aA
A -> bA
A -> empty string
Now, with that in mind let's take a look at your examples. The easiest one would be the second expression: a^n b a^n, n >= 0. How can we come up with a list of rules for this expression? Let's start with the beginning a's:
S -> aS
Easy enough. It's also trivial to add a single b in the middle:
S -> bA
Now we get to the tough part. How do we make a rule so that we add exactly as many a's as before? You can see it's plainly impossible, since we have no way of keeping track of how many a's we added at first. Therefore, this cannot be a regular expression. This is easily proven for the other expressions as well. The problem is that they all require you to keep track of how many letter's you've already written, which is not possible for regular expressions.
I'm sure you know most or all of this already, but I'm just going to start from the beginning. Big-O and Big-Theta notation are used to dermine how fast a function will grow as it's input variable grows to infinity. I assume you're studying this in the context of algorithms, in which case their use is to compare how complex different algorithms will become as their inputs increase in size. Keep in mind that we're only interested in large inputs, small inputs can generally be handled easily even if they begin with relatively higher levels of complexity.
With that in mind let's look at your definition. f(n) is O(g(n)) iff f(n) <= C * g(n) for all n >= k, for some positive integers C and k.
What does this definition really mean? It tells us that if the function f stays within a scalar multiple of g for any input of sufficient size, then we can say that f is Big-O of g (or g is Big-O of f, I don't remember the correct wording, but you know what I mean).
Let's look at an example. Say f(n) = 3x + 2. I can tell you that f(n) = O(g(n)), because f(n) <= 4 * g(n) for all n >= 2. Notice that f(n) is greater than g(n) for n = 1, but this doesn't matter because we're only interested in big values of n. In this case "big" means all values of n >= 2.
Now, the question is: How do you find a good C and k to prove that f is Big-O of g? The easiest way is to find the term in f that will grow the fastest with n. In our previous example that term is obviously 3n, since the 2 portion is constant. You can choose any C that is greater than 3, I went with 4 for simplicity's sake. You can go with 3.1, 10, or a google. Once you choose this number you simply have to find a k such that f(n) <= C * g(n) for all n >= k. What you can do is set f(n) and C * g(n) equal to each other and use that for your k, since you know that C * g(n) will grow faster than f(n). In my example that came out to 3n + 2 = 4n -> n = 2. Again, you can go with any k greater than 2 if you want, the point is that the Big-O condition will be fulfilled.
The trick to determining Big-O notation is to find the term in f(n) that will grow the fastest as n increases. If you find it easier you can ignore coefficients, since those have no bearing on the rate of increase. This is an easy task if f(n) is polynomial, you simply choose the term with the largest exponent. It can get more difficult if you work with non-polynomials, but this simply comes down to familiarizing yourself with the rate of growth of a few basic functions:
... < log(n) < sqrt(n) < n < n^2 < ... < a^n < n! < n^n < ...
There are other more complicated functions, but those will almost never show up in the real world, just on tests. If you're good with limits (particularly limits to infinity) you shouldn't have any problems with this. As a quick exercise see if you can find the Big-O notations for these functions:
Something you might notice is that f(n) actually has many Big-O functions. In fact, it has infinitely many. Going back to my original example f(n) = 3n + 2, it's trivial to show that not only is f(n) = O(n), but also f(n) = O(n^2), and f(n) = O(n^3), and f(n) = O(n!), and so on. This is where Big-Theta comes in. Big-Theta gives us a much tighter upper bound on f(n). Basically, f(n) = Big-Theta(g(n)) iff f(n) = O(g(n)) AND g(n) = O(f(n)). In English, this means that f(n) and g(n) both grow within a scalar multiple of each other. Someone else can correct if I'm wrong, but I believe that every function f(n) can have exactly 1 Big-Theta counterpart, so this gives you a tight estimate of how quickly f(n) grows with n.
It's definitely wrong. Consider this simple example:
According to your method this is equal to
However, it's easy to see that in fact
All that your rearranging accomplished was to show that
which we already knew.
There are n! total matrices in the set G. The total sum of every element in a given matrix is n, which means that the total sum of every element in all of the matrices in G is n * n!. Dividing by n!, the total number of matrices in G, we find that the total sum of every element in A is n. Every element will have the same value, so this means that A is an nXn matrix where every element has the value 1/n.