A core Course on Modeling Introduction to Modeling 0LAB0 0LBB0 0LCB0 0LDB0 S.17.

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A core Course on Modeling Introduction to Modeling 0LAB0 0LBB0 0LCB0 0LDB0 S.17

Formalization phase: making formulas

What is the meaning of + ? increase, abundance, completion, assembly,...

the intuition of ‘addition’, ‘accumulation’: What is the meaning of + ? resistors: R tot = R 1 + R 2 resistors: R tot = 1/(1/R 1 + 1/R 2 ) increase, abundance, completion, assembly,... springs: C tot = 1/(1/C 1 +1/C 2 ) springs: C tot = C 1 + C 2

the intuition of ‘addition’, ‘accumulation’: What is the meaning of + ? increase, abundance, completion, assembly,... An interpretation is required when going from relations in ‘real world’ to mathematical relations. No generic way to do so. We need a (heuristic) process.

Heuristics for formal expressions: meaningful names meaningful names chain of dependencies chain of dependencies todo-list todo-list dimensional analysis dimensional analysis wisdom of the crowds wisdom of the crowds

Example: “What is the total amount of detergent annually dumped in the environment in the Netherlands?”

Example: “What is the total amount of detergent annually dumped in the environment in the Netherlands?”

amAnDetDmp = f(nrAnWshs, detPWsh) relationsdimensionsassumptionstodo [kg / year] = F([wash / year], [kg / wash]) amAnDetDmp nrAnWshs detPWsh Det:detergent; An: annual; Wsh: wash; Fam: family; P: people; am: amount; Dmp: dump

amAnDetDmp nrAnWshs detPWsh relationsdimensionsassumptionstodo Det:detergent; An: annual; Wsh: wash; Fam: family; P: people; am: amount; Dmp: dump [kg / year] = [wash / year] * [kg / wash ] amAnDetDmp = nrAnWshs * detPWsh

amAnDetDmp = nrAnWshs * detPWsh [kg / year] = [wash / year] * [kg / wash ] Washing laundry is the only way detergent gets into the environment amAnDetDmp nrAnWshs detPWsh nrAnWshsPFam nrFamIH nrPIH nrPPFam nrAnWshs = nrAnWshsPFam * nrFamIH [wash / year] = [wash / (fam *year)] * [fam] No institutional laundry washing, only families nrFamIH = nrPIH / nrPPFam [fam] = [people] / [people / fam] Everybody belongs to exactly one family: families are disjoint nrPIH = 17  0.5 million [people] common knowledge nrPPFam = 2.2  0.2 [people/fam] public domain nrAnWshsPFam = 100  20 [wash / year] relationsdimensionsassumptionstodo Det:detergent; An: annual; Wsh: wash; Fam: family; P: people; am: amount; Dmp: dump

amAnDetDmp = nrAnWshs * detPWsh [kg / year] = [wash / year] * [kg / wash ] Washing laundry is the only way detergent gets into the environment amAnDetDmp nrAnWshs detPWsh nrAnWshsPFam nrFamIH nrPIH nrPPFam nrAnWshs = nrAnWshsPFam * nrFamIH [wash / year] = [wash / (fam *year)] * [fam] No institutional laundry washing, only families nrFamIH = nrPIH / nrPPFam [fam] = [people] / [people / fam] Everybody belongs to exactly one family: families are disjoint nrPIH = 17  0.5 million [people] common knowledge nrPPFam = 2.2  0.2 [people/fam] public domain nrAnWshsPFam = 100  20 [wash / year] wisdom of the crowds detPWsh = 0.17  0.03 [kg / wash] wisdom of the crowds todo list is empty  model is ready relationsdimensionsassumptionstodo Det:detergent; An: annual; Wsh: wash; Fam: family; P: people; am: amount; Dmp: dump

amAnDetDmpnrAnWshsdetPWshnrAnWshsPFamnrFamIHnrPIHnrPPFamamAnDetDmpnrAnWshsdetPWshnrAnWshsPFamnrFamIHnrPIHnrPPFam amAnDetDmp nrPPFam nrPIH nrFamIH nrAnWshsPFam detPWsh nrAnWshs * / * Det:detergent; An: annual; Wsh: wash; Fam: family; P: people; am: amount; Dmp: dump 17  0.5 million 2.2   … million 0.17   … million 772  …million 100  20 This approach yields expressions forming a tree:

This type of model is a ‘thumbnail calculation’ OK for quick order of magnitude estimations based on dimension analysis. Use intervals to estimate variation of the answers. (143  67 M; correct value  150 M kg) This type of model is a ‘thumbnail calculation’ OK for quick order of magnitude estimations based on dimension analysis. Use intervals to estimate variation of the answers. (143  67 M; correct value  150 M kg)

This type of model is a ‘thumbnail calculation’ OK for quick order of magnitude estimations based on dimension analysis. Use intervals to estimate variation of the answers. (143  67 M; correct value  150 M kg) This type of model is a ‘thumbnail calculation’ OK for quick order of magnitude estimations based on dimension analysis. Use intervals to estimate variation of the answers. (143  67 M; correct value  150 M kg)

From conceptual model to formal model: while your purpose is not satisfied: start with quantity you need for the purpose put this on the to-do list while the todo list is not empty: take a quantity from the todo list think: what does it depend on? if depends on nothing substitute constant value else give an expression if possible, use dimensional analysis propose suitable mathematical expression think about assumptions verify dimensions add newly introduced quantities to the todo list todo list is empty: evaluate your model as long as purpose is not satisfied: repeat From conceptual model to formal model: while your purpose is not satisfied: start with quantity you need for the purpose put this on the to-do list while the todo list is not empty: take a quantity from the todo list think: what does it depend on? if depends on nothing substitute constant value else give an expression if possible, use dimensional analysis propose suitable mathematical expression think about assumptions verify dimensions add newly introduced quantities to the todo list todo list is empty: evaluate your model as long as purpose is not satisfied: repeat