MHB Modulos with regards to Congruence

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The discussion focuses on solving the congruence equation 34x ≡ 77 (mod 89), specifically the reversing part of the problem. To solve this, one must find the multiplicative inverse of 34 modulo 89, which is calculated using the extended Euclidean algorithm, yielding 34^{-1} ≡ 55 (mod 89). This inverse allows for the equation to be manipulated into the form x ≡ 77 * 55 (mod 89). The final solution is determined to be x ≡ 52 (mod 89). Understanding the process of finding the inverse is crucial for solving similar congruences effectively.
shamieh
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Can someone explain to me what exactly is taking place on Section 4.4 Problem 6b) in the reversing part of the problem? I understand the first part - that's easy, but I have no idea what is going on in the reversing part of the problem. Thanks in advance.

Here is a link instead of me typing tediously:
The problem reads:
Solve $34x ≡ 77 (mod 89)$
http://www.cs.ucsb.edu/~omer/cs40/hw4_solutions.pdf
 
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shamieh said:
Can someone explain to me what exactly is taking place on Section 4.4 Problem 6b) in the reversing part of the problem? I understand the first part - that's easy, but I have no idea what is going on in the reversing part of the problem. Thanks in advance.

Here is a link instead of me typing tediously:
The problem reads:
Solve $34x ≡ 77 (mod 89)$
http://www.cs.ucsb.edu/~omer/cs40/hw4_solutions.pdf

A congruence equation of the type...

$\displaystyle n\ x \equiv m\ \text{mod}\ p\ (1)$

... is solved as follows... indicating with $n^{-1}$ the multiplicative inverse of n mod p [if it exists...], You have...

$\displaystyle n\ n^{-1} x = x \equiv m\ n^{-1}\ \text{mod}\ p\ (2)$

You can find $n^{-1}\ \text{mod}\ p$ applying, for example, the extended Euclidean algorithm [see Modular multiplicative inverse - Wikipedia, the free encyclopedia ]... in Your case is n = 34, m = 77 and p = 89, so that is $34^{-1}\ \text{mod}\ 89 = 55$ and the solution is $\displaystyle x \equiv 77 \cdot 55\ \text{mod}\ 89 = 52$ ...

Kind regards

$\chi$ $\sigma$
 
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The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...

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