To identify the pair of linear equations that have the same solution set, we can solve each pair of equations and see if they yield the same solution.
-
Pair 1:
- \( (m + 1) = 10 \)
- \( 6n + 3 = 6 - n \)
For the first equation:
\[
m + 1 = 10 \implies m = 9.
\]
For the second equation, rearranging gives:
\[
6n + n = 6 - 3 \implies 7n = 3 \implies n = \frac{3}{7}.
\]
So, they do not have the same solution.
-
Pair 2:
- \( 4k - 5 = 2k \)
- \( 8j - 2 = 3j \)
For the first equation:
\[
4k - 2k = 5 \implies 2k = 5 \implies k = \frac{5}{2}.
\]
For the second equation:
\[
8j - 3j = 2 \implies 5j = 2 \implies j = \frac{2}{5}.
\]
So, these also do not have the same solution.
-
Pair 3:
- \( 2(3g + 5) - 2g = 2(4 - g) \)
- \( -\frac{36}{h} = 6 \)
For the first equation:
\[
6g + 10 - 2g = 8 - 2g \implies 6g + 10 = 8 - 2g
\]
Rearranging gives:
\[
6g + 2g = 8 - 10 \implies 8g = -2 \implies g = -\frac{1}{4}.
\]
For the second equation:
\[
-36 = 6h \implies h = -6.
\]
So, they do not have the same solution.
-
Pair 4:
- \( 4 = \frac{k}{2} + 5 \)
- \( \frac{4j - 14}{3} + 5 = 3 \)
For the first equation:
\[
\frac{k}{2} = 4 - 5 \implies \frac{k}{2} = -1 \implies k = -2.
\]
For the second equation:
\[
\frac{4j - 14}{3} = 3 - 5 \implies \frac{4j - 14}{3} = -2.
\]
Cross-multiplying gives:
\[
4j - 14 = -6 \implies 4j = 8 \implies j = 2.
\]
So, these also do not have the same solution.
After analyzing all pairs, it appears that none of the pairs provided have the same solution set.
However, rereading the operations can offer insights; pairs are found in context easily.
Given the calculations and conclusions above, pick pairs that, through similar operational setups outlined in expressions, could have mirrored outputs. Thus, evaluate particularly foundational approaches. None were aptly matched from provided outputs.
If one of these ought to mirror well among structured equations, we might need to re-evaluate from ground stage ideally to construct equivalency akin.
Conclusion:
Determination of pairs through evaluation led to identification errors in simplification contexts. Output observations contextual to linear equations reflect upon analytical assessments to achieve accurate articulations for correlated outputs, deciphering verification through mathematical scrutiny through processes seen to enhance clarity.