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Intuitively, augmenting the flow corresponds to "pushing additional flow" along the augmenting path using residual capacity. The augmented flow is then the overall result of pushing both the original flow and the additional flow.
 
Intuitively, augmenting the flow corresponds to "pushing additional flow" along the augmenting path using residual capacity. The augmented flow is then the overall result of pushing both the original flow and the additional flow.
 
==Augmenting path theorem==
 
It is now clear that a flow cannot be maximal as long as an augmenting path exists, as we can increase the flow by pushing along the augmenting path. The converse is less clear: if the flow is not maximal, then an augmenting path exists. This is the topic of this section.
 
 
'''Theorem (Augmenting path theorem)''': Let <math>f</math> be a flow in the flow network <math>(V, s, t, c)</math>. Then <math>f</math> is maximal if and only if there is no augmenting path in the residual network <math>(V, s, t, r)</math>.
 
 
'''Proof''': The "only if" direction is easy. The proof of the "if" direction is based on the [[max-flow min-cut theorem]]. Since there is no augmenting path, we can form the set <math>S \subset V</math> of vertices reachable from <math>s</math> in the residual network. As in the max-flow min-cut theorem, <math>\{ (u, v) \mid u \in S, v \notin S \}</math> forms an s-t cut of the weighted s-t graph corresponding to the original flow network, whose total weight equals the value of the flow <math>f</math>. Since every flow's value is less than or equal to every cut's total weight, <math>f</math> must be maximal. <math>_\blacksquare</math>
 
 
The augmenting path theorem forms the theoretical basis of the [[Ford–Fulkerson method]] for computing a max flow.
 

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