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Foundation of Mathematics: Jensen inequality
2022-07-22 06:55:00 【NoBlackstone】
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Jensen inequality
There is a property in convex function , There are any two points in the definition field x 1 x_1 x1 and x 2 x_2 x2, And there are 0 ⩽ t ⩽ 1 0\leqslant t\leqslant 1 0⩽t⩽1, obtain t × f ( x 1 ) + ( 1 − t ) × f ( x 2 ) ⩾ f [ t x 1 + ( 1 − t ) x 2 ] t\times f(x_1) + (1-t)\times f(x_2)\geqslant f[tx_1 + (1 - t)x_2] t×f(x1)+(1−t)×f(x2)⩾f[tx1+(1−t)x2], The geometric meaning is that any point on the secant of two points is greater than x 1 x_1 x1 And x 2 x_2 x2 Function value between , As shown in the figure :
The above formula , Namely Jensen
Two point formula of inequality ;
Jensen Inequality is defined as , If for any point set , Yes λ i > 0 \lambda_i > 0 λi>0 And ∑ i λ i = 1 \sum_i\lambda_i = 1 ∑iλi=1, Then convex function f ( x ) f(x) f(x) Satisfy f ( ∑ i λ i x i ) ⩽ ∑ i λ i f ( x i ) f(\sum_i\lambda_ix_i)\leqslant\sum_i\lambda_if(x_i) f(∑iλixi)⩽∑iλif(xi).
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