本文给出了凝聚映射的范数型锥拉伸和压缩定理。
In this paper, we showed the nome-type compression and expansion theorem of condensing maps.
依据对信息融合熵的定义，提出并证明了信息融合的有效性和熵最大压缩两定理。
According to the definition of the information fusion entropy, two theorems on the efficiency of information fusion and on maximum compression of fusion entropy are presented and testified.
利用压缩映照定理，研究了一个二阶泛函差分方程边值问题，得到存在和唯一性定理。
By using the contraction mapping principle, the boundary value problems for a second order functional difference equation are investigated.
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