
Mark Kac
Mark Kac was a Polish-American mathematician. His main interest was probability theory. His question, "Can one hear the shape of a drum?" set off research into spectral geometry, the idea of understanding the extent to which the spectrum allows one to read back the geometry.
Background
- Born in
- Kremenets
- Educated at
- Johns Hopkins UniversityKrzemieniec LyceumLviv University
- Awards
- 🏆 Jurzykowski Prize🏆 Fellow of the Institute of Mathematical Statistics🏆 Chauvenet Prize
- Doctoral Advisors
- 🎓 Hugo Steinhaus
- Doctoral Students
- 📖 Harry Kesten📖 Daniel W. Stroock
Trending & Selected Quotes
Trending topics shown first"I then reached for a time honored tactic used by mathematicians: if you can't solve the real problem, change it into one you can solve."
"There was hardly a page in Markov's book which did not feature the normal law and it cast a spell over me from which I have never fully recovered. Adding to the fascination was the impression that som…"
"As a mathematician Erdös is what in other fields is called a "natural". If a problem can be stated in terms he can understand, though it may belong to a field with which he is not familiar, he is as l…"
"Independence is the central concept of probability theory and few would believe today that understanding what it meant was ever a problem."
"When one is young, and seventeen is very young, one lives in the present. The future, even the near future, is cloaked in unreality."
"I had a phenomenal memory and could recite long poems by Russian poets, mainly Pushkin. Except for an unusual memory, I was not precocious in any respect and somewhat later, to the chagrin of my fathe…"
Works & Publications
No works or publications documented yet.
Timeline
1914
Born
Birth1984
Died
Death
Influenced By
Thinkers whose ideas shaped Mark's philosophy
No known influences documented.
Influenced
Thinkers whose work was shaped by Mark's ideas
No influenced thinkers documented yet.
Source Attribution
Information about Mark Kac is sourced from curated knowledge bases and cross-referenced for accuracy. Influence relationships are scored by thematic overlap and historical plausibility.
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