1. **Problem Statement:** Find the minimal spanning tree (MST) and the associated shortest total distance for the given weighted network of city nodes.
2. **Formula and Concept:** The minimal spanning tree of a weighted graph is a subset of edges that connects all vertices with the minimum possible total edge weight and no cycles.
3. **Method:** We use Kruskal's algorithm, which sorts edges by weight and adds the smallest edge that does not form a cycle until all nodes are connected.
4. **Edges sorted by weight:**
- Blackpool–Preston 17
- Carlisle–Penrith 19
- Kendal–Lancaster 20
- Preston–Liverpool 30
- Leeds–York 24
- Scotch Corner–Middlesbrough 26
- Penrith–Kendal 28
- Skipton–Leeds 28
- Workington–Carlisle 32
- Manchester–Liverpool 35
- Preston–Skipton 35
- Newcastle upon Tyne–Middlesbrough 34
- Kendal–Barrow-in-Furness 34
- Leeds–Sheffield 33
- Carlisle–Newcastle upon Tyne 57
- Workington–Penrith 37
- Manchester–Sheffield 38
- Scotch Corner–Newcastle upon Tyne 41
- Lancaster–Skipton 42
- Penrith–Scotch Corner 50
- Middlesbrough–York 50
- Workington–Barrow-in-Furness 59
- Leeds–Manchester 40
- Scotch Corner–Leeds 54
5. **Step-by-step MST construction:**
- Add Blackpool–Preston (17)
- Add Carlisle–Penrith (19)
- Add Kendal–Lancaster (20)
- Add Leeds–York (24)
- Add Scotch Corner–Middlesbrough (26)
- Add Penrith–Kendal (28)
- Add Skipton–Leeds (28)
- Add Workington–Carlisle (32)
- Add Newcastle upon Tyne–Middlesbrough (34)
- Add Kendal–Barrow-in-Furness (34)
- Add Leeds–Sheffield (33)
- Add Preston–Liverpool (30)
- Add Preston–Skipton (35)
- Add Manchester–Liverpool (35)
6. **Check for cycles and connectivity:** All nodes are connected without cycles.
7. **Calculate total distance:**
$$17 + 19 + 20 + 24 + 26 + 28 + 28 + 32 + 34 + 34 + 33 + 30 + 35 + 35 = 395$$
**Final answer:** The minimal spanning tree has a total shortest distance of **395** units.
Minimal Spanning Tree 6D8C73
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