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‘Man Who Knew Infinity’ balances science, character study

Dev Patel stars as real-life self-taught mathematician Srinivasa

Dev Patel stars as real-life self-taught mathematician Srinivasa Ramanujan in "The Man Who Knew Infinity." Photo Credit: IFC Films

It really doesn’t matter if you don’t understand terms like “negative values of the gamma function” or “highly composite numbers” used in the new film “The Man Who Knew Infinity,” opening April 29. That’s because the movie, which stars Dev Patel (“Slumdog Millionaire,” “The Most Exotic Marigold Hotel”) and Jeremy Irons, is primarily the true story of the trials and tribulations of Srinivasa Ramanujan (1887-1920), a self-taught Indian mathematical genius who fought racism, classism and institutional bias in order to have his work recognized.

“The movie works because you’re emotionally invested in the characters,” says Matt Brown, the film’s writer-director. “I felt there was an enormous story seeing genius in places you would never expect it to come from.”

And that, in fact, is what all good movies about scientists try to do: give a taste of the science involved, and wrap it around a human story.

“We often say story will trump science, but science will improve story,” says Ann Merchant of the National Academy of Sciences, whose Science and Entertainment Exchange advises filmmakers dealing with scientific topics. “These films combine the really interesting and dramatic parts about a person’s life with their science, and that’s how the science comes alive.”

Or, as Stephen Brown of succinctly puts it: “Showcasing authentic science in the movies means spotlighting smart characters and not lingering on the scientific jargon.”

Think, for example, of “The Imitation Game,” which not only focused on mathematician Alan Turing cracking the Nazi “Enigma” code, but also his brittle personality and persecution for being homosexual. Or the Oscar-winning “A Beautiful Mind,” in which John Nash, another brilliant mathematician, was plagued by paranoid schizophrenia.

“You can’t portray the science in a meaningful way unless you humanize it, make the scientists relatable,” says David Long, who chairs the Film and Animation program at the Rochester Institute of Technology. “And simplifying the concept is more successful when you are showing off human ingenuity or problem-solving.”

In other words, lectures out, practical applications — if they exist — in. And it’s really important that no matter how much science makes it into the final screenplay, it better be the real thing. When it comes to advising filmmakers, Merchant says, “We look for the scientist who has strong communication skills. They’re sitting down with someone from the creative side, and using those skills to explain things so it doesn’t sound like they’re at a scientific conference. And we listen carefully — what are the questions you are looking to answer?”

“There are professionals in Hollywood and consultants whose job it is to convey the science in a correct way, and simplify it for the audience,” Long adds. “There are professional set decorators for the films, who ask things like ‘How much space do you need filled up in the blackboard?’ ”

In “The Man Who Knew Infinity,” for example, director Brown says, “We had a whole group of people just trying to make sure everything you see on the chalkboard or in [Ramanujan’s] notebooks is accurate. Everything in the film is correct in terms of the math.”

This concern for accuracy does not, however, always extend to the portrayals of scientists themselves — the fictional ones, at least. “They’re all manic or geeked out,” Long says. “They are either manic and unhappy, or introverted and wear the glasses and the lab coat.”

Or, they’re simply miscast, an obvious example being Denise Richards as a nuclear physicist in the 1999 James Bond film “The World Is Not Enough.”

“Hollywood often botches science in the movies with bad casting, when an actress or actor isn’t credible as the character,” Stephen Brown says. “Usually an actor who doesn’t wear glasses all of a sudden sporting them for a role is a dead giveaway.”

But that’s not the case in “Infinity,” in which Patel gives a thoroughly believable performance as an intuitive genius desperate for professional acceptance. And even if the math isn’t easy to understand, there’s a reason why. “I tried to let the audience know what kind of mathematicians these were,” director Matt Brown says. “These were not applied mathematicians, but pure mathematicians. I wanted people to understand what pure mathematics is, that pure mathematicians are artists, and I wanted people to understand the passion an artist has.”

Film studies

Scores of films have been made about scientists, scientific discoveries and the doings of researchers, both legitimate and just a bit mad. Here are a few memorable ones.

FRANKENSTEIN (1931) Let’s face it. The good doctor (Colin Clive) may be nuts, but he’s on the cutting edge when it comes to organ transplants and other surgical techniques.

THE STORY OF LOUIS PASTEUR (1936) Paul Muni stars as the 19th century Frenchman who discovered how to make your milk safe to drink.

DR. EHRLICH’S MAGIC BULLET (1940) Edward G. Robinson is the German doctor who fights prejudice to discover a cure for syphilis.

MADAME CURIE (1943) She’s the most famous female scientist ever, a Nobel Prize winner for her work with radioactivity. Greer Garson plays the Polish-born French citizen in this rather schmaltzy biopic.

LORENZO’S OIL (1992) Nick Nolte and Susan Sarandon star in the true story of parents searching for a cure for their son’s rare disease.

A BEAUTIFUL MIND (2001) John Nash was a brilliant mathematician and winner of the Nobel Prize. He was also a paranoid schizophrenic. Russell Crowe was nominated for an Oscar for his performance as Nash, and the film was named Best Picture.

KINSEY (2004) Liam Neeson is the title character, a giant in the study of sexology.

THE IMITATION GAME (2014) Alan Turing, played by Benedict Cumberbatch, was the groundbreaking cryptologist who cracked Germany’s super secret “Enigma” code during World War II.



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