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In mathematics, Jensen's inequality, named after the Danish mathematician Johan Jensen, relates the value of a convex function of an integral to the integral of the convex function. It was proved by Jensen in 1906, building on an earlier proof of the same inequality for doubly-differentiable functions by Otto Hölder in 1889. Given its generality, the…
The analysis highlights Applications, Statements and Applications and special cases as prominent areas in the source structure around Jensen's inequality.
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Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around Jensen's inequality shows recurring relationship patterns in the source. For example, Jensen's inequality → Assuming, Consequently, Jensen's, Noticing, X0 Another extracted example is Jensen's inequality → Beyond, Hansen, Jensen's, Pedersen. Use these groups to spot repeated connection types before inspecting the individual relationships.
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inequality displaystyle convex function jensen's varphi probability variable real form random operatorname jensen general theory one statement case finite measure
TTTA extracted 16 structured relationships around Jensen's inequality. Examples in this analysis include Jensen's inequality → related to Finite form → Jensen's and Jensen's inequality → related to Generalizations → Beyond. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Jensen's inequality | related to Finite form | Jensen's | 0.60 | section |
| Jensen's inequality | related to Generalizations | Beyond | 0.60 | section |
| Jensen's inequality | related to Generalizations | Jensen's | 0.60 | section |
| Jensen's inequality | related to Generalizations | Hansen | 0.60 | section |
| Jensen's inequality | related to Generalizations | Pedersen | 0.60 | section |
| Jensen's inequality | related to Information theory | Jensen's | 0.60 | section |
| Jensen's inequality | related to Information theory | Therefore | 0.60 | section |
| Jensen's inequality | related to Intuitive graphical proof | Jensen's | 0.60 | section |
| Jensen's inequality | related to Intuitive graphical proof | Assuming | 0.60 | section |
| Jensen's inequality | related to Intuitive graphical proof | Noticing | 0.60 | section |
| Jensen's inequality | related to Intuitive graphical proof | X0 | 0.60 | section |
| Jensen's inequality | related to Intuitive graphical proof | Consequently | 0.60 | section |
The concept neighborhoods around Jensen's inequality bring nearby vocabulary together. In this analysis, examples include Jensen's, Convex and Function. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Jensen's inequality, one of the stronger structural bridges in this analysis connects Jensen's inequality with Statements. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Jensen's inequality to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Statements & Applications and special cases, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Jensen's inequality · EN edition · Analysis: TopicsToTalkAbout