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K-connected graph proof

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3.17 Let v_1,v_2,...,v_k be k distinct vertices of a k-connected graph G. Let H be the graph formed from G by adding a new vertex of degree k that is adjacent to each of v_1,v_2,...,v_k. Show k(H)=k.

k(G)=is the vertex connectivity

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Solution Summary

This is a proof regarding a k-connected graph.

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Note: we name the vertex joining to each of v_1,v_2,...,v_k the new vertex.

Proof. By the definition of vertex-connectivity, we need to show that we need to remove at least k vertices from H to make H disconnected.

First of all, by the construction, we know that, if we remove v_1,v_2,...,v_k from H, then the new vertex joining ...

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  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
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