Proving Identities with 0 < a in R

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In summary, the conversation discusses how to prove certain equations involving exponents, specifically (a^x)(a^y) = (a^(x+y)) and a^(-x) = 1/(a^x). The first equation can be proven using the definition a^x:=exp(x*log(a)), while the second equation is a special case of the first. Various definitions for exp and log are discussed, and it is noted that the proof may vary depending on the specific definitions used. Overall, the conversation emphasizes the importance of rigor in proving mathematical statements.
  • #1
Nusc
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How do you prove these?
Let 0 < a, an element of R, and x, y an element of R. Then:
(a^x)(a^y) = (a^(x+y))
a^(-x) = 1/(a^x)
Thanks.
 
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  • #2
A hint before midnight would be great!
 
  • #3
Or maybe they are not so simple?
 
  • #4
what class is this for? There is prolly many ways to prove this but some of the techniques might not be appropriate for all classes.

how about write
(aaaaa...a)(aaaaaaa...a) so we have a times itself x+y times
...x times... y times

=a^(x+y)
 
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  • #5
for the second part start with a^(-x) and multiply by a well placed 1.
Since 1(anything)=anything
so try multiplying by 1 where your 1= (a^x)/(a^x)
 
  • #6
Nusc said:
How do you prove these?
Let 0 < a, an element of R, and x, y an element of R. Then:
(a^x)(a^y) = (a^(x+y))
a^(-x) = 1/(a^x)
Thanks.
The second follows easily from the first by the case y=-x
To handle the first you need to consider the definition you are using for a^x
for instance one possible definition is
a^x:=exp(x*log(a))
in which case the problem is reduced to showing
exp(x+y)=exp(x)*exp(y)
for this one must considerthe definition of exp(x)
one possible definition being
exp(x) is the unique function for which
exp(x) is a real number if x is a real numberjk
exp(x)*exp(y)=exp(x+y) if x and y are real numbers
limit x->0 [exp(x)-1]/x=1
This is a nice definition for this problem, of course if other definitions are used you will need to prove your statement other ways.
The other common definition of a^x is to let a^x be defined for rational numbers r then
a^x:=lim n->infinity a^r_n
where r_n is a rational sequence for which
lim n->infinity r_n=x
it is also possible to stay with
a^x:=exp(x*log(a))
and use other definitions for exp and log
 
  • #7
(a^x)(a^y) = exp(x*ln(a))exp(y*ln(a)) = exp((x+y)*ln(a)) = exp(ln(a)^(x+y)) = a ^ (x+y)

Okay there. Now the second one?

exp(-x*ln(a)) = exp(ln(a)^-x) = a ^-x = 1/a^x

I'm not too sure about the second one...
 
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  • #8
Nusc said:
(a^x)(a^y) = exp(x*ln(a))exp(y*ln(a)) = exp((x+y)*ln(a)) = exp(ln(a)^(x+y)) = a ^ (x+y)
Okay there. Now the second one?
exp(-x*ln(a)) = exp(ln(a)^-x) = a ^-x = 1/a^x
I'm not too sure about the second one...
The second is a special case of the first
a^x*a^-x=a^(x+(-x))=a^(x-x)=a^0=1
hence
a^-x-1/a^x
just remember what is needed to rigorize this
1)take as a definition
a^x:=exp(x*log(a))
2)show that definition is equivelent other definitions if needed
3)define exp and log as desired
4)show these definitions are equivelent other definitions if needed
5)show that exp(x+y)=exp(x)*exp(y)
6)show that 5 and 1 together can be used to prove the desired result
 

Related to Proving Identities with 0 < a in R

1. What does "Proving Identities with 0 < a in R" mean?

"Proving Identities with 0 < a in R" is a mathematical process in which we use algebraic manipulations and properties of real numbers (R) to verify the validity of a given mathematical expression, or identity, when the variable "a" is greater than zero.

2. Why is it important to prove identities with 0 < a in R?

Proving identities with 0 < a in R helps us to understand the underlying principles and relationships between different mathematical expressions. It also allows us to generalize the validity of an identity for a wide range of values of "a", rather than just a specific value.

3. What are the steps involved in proving an identity with 0 < a in R?

The steps involved in proving an identity with 0 < a in R typically include simplifying the expression, applying algebraic manipulations and properties of real numbers, and checking for any restrictions on the values of "a" that may cause the identity to be invalid.

4. Can identities with 0 < a in R be proven using other methods?

Yes, identities with 0 < a in R can also be proven using other methods such as induction, direct proof, or contradiction. However, using algebraic manipulations and properties of real numbers is often the most efficient and straightforward approach.

5. What are some common identities that can be proven with 0 < a in R?

Some common identities that can be proven with 0 < a in R include the Pythagorean identities, trigonometric identities, and logarithm identities. Additionally, many inequalities and equations involving exponents, logarithms, and radicals can also be proven using this method.

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