Find max(abs(a)+abs(b)+abs(c)), and a possible f(x)

  • MHB
  • Thread starter Albert1
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In summary: It should be $x = \frac{1}{2}$In summary, using the given conditions, we have found that the maximum value of $|a|+|b|+|c|$ is 17. A possible function that satisfies these conditions is $f(x) = 8x^2-8x+1$.
  • #1
Albert1
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$given\,\,f(x)=ax^2+bx+c$
$if \,\,for\,\,all\,\,x \in [0,1]\,\, we\,\, have\left | f(x) \right |\leq1$
$find \,\, max(\left | a \right |+\left | b \right |+\left | c\right |)$
$and \,\, a\,\, possible \,\, f(x)$
 
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  • #2
Given $f(x) = ax^2+bx+c$ and $0 \leq x\leq 1$ and $|f(x)|\leq 1$Put $x=0$ in $f(x)\;,$ We get $f(0) = c$ and put $x=1\;,$ We get $f(1) = a+b+c$and put $\displaystyle x=\frac{1}{2}\;,$ We get $\displaystyle f\left(\frac{1}{2}\right) = \frac{a}{4}+\frac{b}{2}+c\Rightarrow 4f(1) = a+2b+4c$So Using $\triangle$ Inequality::$\displaystyle |a| = \mid 2f(1)-4f\left(\frac{1}{2}\right)+2f(0)\mid \leq 2|f(1)|+4\mid f\left(\frac{1}{2}\right)\mid+2|f(0)|\leq 8$$\displaystyle |b| = \mid-f(1)-4f\left(\frac{1}{2}\right)-3f(0)\mid \leq |f(1)|+4\mid f\left(\frac{1}{2}\right)\mid+3|f(0)|\leq 8$

$|c|\leq 1$So we get $|a|+|b|+|c| \leq 8+8+1 \leq 17$
 
  • #3
jacks said:
Given $f(x) = ax^2+bx+c$ and $0 \leq x\leq 1$ and $|f(x)|\leq 1$Put $x=0$ in $f(x)\;,$ We get $f(0) = c$ and put $x=1\;,$ We get $f(1) = a+b+c$and put $\displaystyle x=\frac{1}{2}\;,$ We get $\displaystyle f\left(\frac{1}{2}\right) = \frac{a}{4}+\frac{b}{2}+c\Rightarrow 4f(1) = a+2b+4c$So Using $\triangle$ Inequality::$\displaystyle |a| = \mid 2f(1)-4f\left(\frac{1}{2}\right)+2f(0)\mid \leq 2|f(1)|+4\mid f\left(\frac{1}{2}\right)\mid+2|f(0)|\leq 8$$\displaystyle |b| = \mid-f(1)-4f\left(\frac{1}{2}\right)-3f(0)\mid \leq |f(1)|+4\mid f\left(\frac{1}{2}\right)\mid+3|f(0)|\leq 8$

$|c|\leq 1$So we get $|a|+|b|+|c| \leq 8+8+1 \leq 17$
one example of $f(x)$ : $a=8,b=-8,c=-1,\,\, we \,\, get \,\, f(x)=8x^2-8x-1$
$which \,\,max(|a|+|b|+|c|) =8+8+1 =17\,\,meets$
also for all $0 \leq x\leq 1 ,$ $|f(x)|\leq 1$
 
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  • #4
Albert said:
one example of $f(x)$ : $a=8,b=-8,c=-1,\,\, we \,\, get \,\, f(x)=8x^2-8x-1---(*)$
$which \,\,max(|a|+|b|+|c|) =8+8+1 =17\,\,meets$
also for all $0 \leq x\leq 1 ,$ $|f(x)|\leq 1$
a typo in $(*):$
$a=8,b=-8,c=1$
$f(x)=8x^2-8x+1$
$which \,\,max(|a|+|b|+|c|) =8+8+1 =17\,\,meets$
also for all $0 \leq x\leq 1 ,$ $|f(x)|\leq 1$
 

FAQ: Find max(abs(a)+abs(b)+abs(c)), and a possible f(x)

What is the purpose of finding max(abs(a)+abs(b)+abs(c))?

Finding the maximum value of the sum of absolute values of three variables (a, b, and c) is useful in various mathematical and scientific applications. It can help in optimizing functions, analyzing data, and solving equations.

How is max(abs(a)+abs(b)+abs(c)) different from finding the maximum value of individual variables?

The expression max(abs(a)+abs(b)+abs(c)) takes into account the combined effect of all three variables, whereas finding the maximum value of individual variables only considers one variable at a time. This can lead to different results, especially when dealing with multiple variables that have an impact on each other.

Can max(abs(a)+abs(b)+abs(c)) be used in real-life scenarios?

Yes, this expression can be used in a wide range of real-life scenarios. For example, it can be used in financial analysis to find the maximum profit or loss from a combination of different investments. It can also be used in engineering to determine the maximum stress or load that a structure can withstand.

What is the possible f(x) in this context?

The possible f(x) represents the function or equation that involves the variables a, b, and c, and for which we are trying to find the maximum value of the sum of their absolute values. This function can vary depending on the specific problem or application.

Are there any limitations to using max(abs(a)+abs(b)+abs(c))?

As with any mathematical concept, there may be limitations to using max(abs(a)+abs(b)+abs(c)). For example, it may not be applicable in cases where the variables have a non-linear relationship with each other. Additionally, it may not always give a unique solution, and further analysis may be required to determine the exact maximum value.

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